Datasets:

nmitchko

/

i2b2-query-data-1.0

like 1

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Disor-HMG-C@11:54:20</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>&gt;= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Disorders of lipoid metabolism</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\</item_key> <item_icon>FA</item_icon> <tooltip>Disorders of lipoid metabolism</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Disorders of lipoprotein metabolism and other lipidemias</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\</item_key> <item_icon>FA</item_icon> <tooltip>Disorders of lipoprotein metabolism and other lipidemias</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients between the ages of 18 and 74 years old who have been diagnosed with disorders of lipid metabolism and have been prescribed HMG-CoA reductase inhibitors.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-Maligna@20:29:04</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>PLT ESTIMATE (LOINC:26515-7)</item_name> <item_key>\\i2b2_DEMO\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB57) Complete Blood Count\PLT\LOINC:26515-7\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Complete Blood Count \ PLT (Group:PLT) \ PLT ESTIMATE (LOINC:26515-7)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>50</value_constraint> <value_unit_of_measure>k/ul</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Malignant neoplasm of brain</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(C00-D49) Neop~k3n8\(C00-C96) Mali~yqqr\(C00-C75) Mali~lbm0\(C69-C72) Mali~8lvo\(C71) Malignan~7z3n\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neoplasms (c00-d49) \ Malignant neoplasms (c00-c96) \ Malignant neoplasms, stated or presumed to be primary (of specified sites), and certain specified histologies, except neuroendocrine, and of lymphoid, hematopoietic and related tissue (c00-c75) \ Malignant neoplasms of eye, brain and other parts of central nervous system (c69-c72) \ Malignant neoplasm of brain</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Temozolomide</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME55) antineoplastics\(LME56) alkylating agents\temozolomide\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antineoplastics \ alkylating agents \ temozolomide</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with a low platelet count (less than 50 k/ul) and a diagnosis of malignant neoplasm of the brain, who have also been prescribed temozolomide.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-cardiac@20:41:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Malignant neoplasm of brain</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(C00-D49) Neop~k3n8\(C00-C96) Mali~yqqr\(C00-C75) Mali~lbm0\(C69-C72) Mali~8lvo\(C71) Malignan~7z3n\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neoplasms (c00-d49) \ Malignant neoplasms (c00-c96) \ Malignant neoplasms, stated or presumed to be primary (of specified sites), and certain specified histologies, except neuroendocrine, and of lymphoid, hematopoietic and related tissue (c00-c75) \ Malignant neoplasms of eye, brain and other parts of central nervous system (c69-c72) \ Malignant neoplasm of brain</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Temozolomide</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME55) antineoplastics\(LME56) alkylating agents\temozolomide\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antineoplastics \ alkylating agents \ temozolomide</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>PLT ESTIMATE (LOINC:26515-7)</item_name> <item_key>\\i2b2_DEMO\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB57) Complete Blood Count\PLT\LOINC:26515-7\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Complete Blood Count \ PLT (Group:PLT) \ PLT ESTIMATE (LOINC:26515-7)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>50000</value_constraint> <value_unit_of_measure>k/ul</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>cardiac infarction</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I20-I25) Isch~798s\(I21) St eleva~i3yh\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Ischemic heart diseases (i20-i25) \ cardiac infarction</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with a diagnosis of malignant neoplasm of the brain who have been prescribed temozolomide and have a platelet count estimate (LOINC:26515-7) less than 5000 k/ul, as well as exclude patients with a diagnosis of cardiac infarction.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>WHITE BLOOD COU@19:43:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)WHITE BLOOD COU@11:23:32</item_name> <item_key>masterid:4009</item_key> <tooltip>WHITE BLOOD COU@11:23:32</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a white blood cell count measurement taken at any time, with an accuracy scale of 100, and with no specificity scale applied, and compare it to a previous query named "WHITE BLOOD COU@1:23:32" with a panel number of 1 and an invert value of 0.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Race-High in@21@12:32:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Race-High in@21:24:50</item_name> <item_key>masterid:16074</item_key> <tooltip>Race-High in@21:24:50</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with the specific condition "Race-High in@21:24:50" recorded at any time in the database, with a specificity scale of 0 and a panel accuracy scale of 100, and the query is not inverted.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@18:44:58</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of Diabetes mellitus diagnoses in the Endocrine disorders section under the Other endocrine gland diseases category in the i2b2 data repository.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diagn-Gende-Hemat@22:41:40</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diagnoses</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hematology</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests \ Hematology</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have Diagnoses, Gender, and Hematology Lab Tests information available in the i2b2 database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>&gt;= 65-Pain -Incom@10:07:46</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Pain in throat and chest</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(R00-R99) Symp~mt2x\(R00-R09) Symp~evaq\(R07) Pain in~95zu\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified (r00-r99) \ Symptoms and signs involving the circulatory and respiratory systems (r00-r09) \ Pain in throat and chest</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Income</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Income\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Income</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who are 65 years old or older (>= 65 years old) and have reported pain in their throat and chest (Pain in throat and chest), while also considering their income (Income) in the analysis. The time frame for this query is any time (ANY), and the specificity scale is set to 0. The accuracy scale for each panel is 100, and there is no inversion of the panel data. The query is named ">= 65-Pain -Incom@10:07:46".

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:02:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension (ICD10-ICD9: I10-I15) and diabetes mellitus (ICD10-ICD9: E08-E13), for a specific person (Person_#100000045) within the i2b2 database, with any timing and 100% accuracy for each panel.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Princip-Seconda@15:12:32</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hypertensive diseases (i10-i15)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15)</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Secondary Diagnosis\</modifier_key> <applied_path>\Diagnoses\(I00-I99) Dise~3w8h\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a principal diagnosis related to the circulatory system (ICD codes 390-459) and a secondary diagnosis of hypertensive diseases (ICD codes 10-15) within the same encounter.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@19:39:25</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of Diabetes mellitus (Endocrine disorders > Other endocrine gland diseases > Diabetes mellitus) in the i2b2 database, with a specificity scale of 0 and accuracy scale of 100, considering all time frames (ANY), and the query is not a synonym for another condition.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@19:40:37</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have been diagnosed with Diabetes Mellitus (Endocrine disorders > Other endocrine gland diseases > Diabetes mellitus) with a specificity scale of 0 and a total item occurrence of 1, using the i2b2 query builder with any timing and 100% panel accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Asthma@17:25:57_ATB</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Asthma</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Chronic obstructive diseases (490-496)\(493) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Chronic obstructive diseases \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of the diagnosis of Asthma within the Respiratory system and Chronic obstructive diseases category, using the specific encoding (493) in the i2b2 data repository, with a high accuracy level (1000%) and no inversion of the panel, with the query named "Asthma@17:25:57_ATB" and no specific timing constraint.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit Diagnosis@12:24:24</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Injury and poisoning</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Injury and poisoning</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Injury and poisoning (800-999)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all encounters where the admit diagnosis is related to injury and poisoning (ICD-9 codes 80-99) with 100% accuracy and any timing.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-OXIMETR@13:53:38</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>OXIMETRY (LOINC:2710-2)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB24) Blood Gases\O2 Sat\LOINC:2710-2\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Chemistry \ Blood Gases \ O2 Saturation (Group:O2 Sat) \ OXIMETRY (LOINC:2710-2)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all female patients who have had an OXIMETRY (LOINC:2710-2) blood test performed, with no specific time constraint and with a high level of accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-BASO % @13:54:44</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>BASO % (LOINC:706-2)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB55) Blood Differential %\BASOS\LOINC:706-2\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Blood Differential% \ Basophils - Auto (Group:BASOS) \ BASO % (LOINC:706-2)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find the percentage of female patients with basophils (BASO %) in their blood differential test results at a specific time point.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-OXIMETR@13:52:51</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>OXIMETRY (LOINC:2710-2)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB24) Blood Gases\O2 Sat\LOINC:2710-2\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Chemistry \ Blood Gases \ O2 Saturation (Group:O2 Sat) \ OXIMETRY (LOINC:2710-2)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>80</value_constraint> <value_unit_of_measure>%</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all female patients who have had an OXIMETRY (LOINC:2710-2) result with a value less than or equal to 80%.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-OXIMETR@13:53:23</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>OXIMETRY (LOINC:2710-2)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB24) Blood Gases\O2 Sat\LOINC:2710-2\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Chemistry \ Blood Gases \ O2 Saturation (Group:O2 Sat) \ OXIMETRY (LOINC:2710-2)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>100</value_constraint> <value_unit_of_measure>%</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all female patients with an OXIMETR (oxygen saturation) result of less than 10% within any time frame.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-BASO % @13:54:26</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>BASO % (LOINC:706-2)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB55) Blood Differential %\BASOS\LOINC:706-2\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Blood Differential% \ Basophils - Auto (Group:BASOS) \ BASO % (LOINC:706-2)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find the percentage of female patients with basophils in their blood differential test results within the specified time frame.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:37:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus (e08-e13) in their medical records, with a specificity scale of 0, and who are associated with person_#100000045 in the database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-BASO % @14:01:09</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>BASO % (LOINC:706-2)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB55) Blood Differential %\BASOS\LOINC:706-2\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Blood Differential% \ Basophils - Auto (Group:BASOS) \ BASO % (LOINC:706-2)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with a specific value for the Basophil percentage (BASO %) laboratory test result, using the LOINC code 706-2, within any time frame.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Atrial -Gender@08:49:03</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Atrial fibrillation and flutter</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I30-I52) Othe~w6tz\(I48) Atrial f~wiu4\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Other forms of heart disease (i30-i52) \ Atrial fibrillation and flutter</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of Atrial fibrillation and flutter (ICD-9 codes I48) and their corresponding gender information in the demographics section of their medical records.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Tetra-Ventr-Ventr@09:02:55</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Tetralogy of fallot</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(Q00-Q99) Cong~t96i\(Q20-Q28) Cong~fdo2\(Q21) Congenit~uodm\(Q21.3) Tetral~m7r6\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital malformations, deformations and chromosomal abnormalities (q00-q99) \ Congenital malformations of the circulatory system (q20-q28) \ Congenital malformations of cardiac septa \ Tetralogy of fallot</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Tetralogy of fallot</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(Q00-Q99) Cong~t96i\(Q20-Q28) Cong~fdo2\(Q21) Congenit~uodm\(Q21.3) Tetral~m7r6\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital malformations, deformations and chromosomal abnormalities (q00-q99) \ Congenital malformations of the circulatory system (q20-q28) \ Congenital malformations of cardiac septa \ Tetralogy of fallot</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Chronic pulmonary insufficiency following surgery</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J95-J95) Intr~ilcu\(J95) Intraope~1hes\(J95.3) Chroni~94rh\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Intraoperative and postprocedural complications and disorders of respiratory system, not elsewhere classified (j95) \ Intraoperative and postprocedural complications and disorders of respiratory system, not elsewhere classified \ Chronic pulmonary insufficiency following surgery</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Congenital pulmonary valve stenosis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(Q00-Q99) Cong~t96i\(Q20-Q28) Cong~fdo2\(Q22) Congenit~ooe8\(Q22.1) Congen~w7x1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital malformations, deformations and chromosomal abnormalities (q00-q99) \ Congenital malformations of the circulatory system (q20-q28) \ Congenital malformations of pulmonary and tricuspid valves \ Congenital pulmonary valve stenosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Ventricular septal defect with pulmonary stenosis or atresia, dextroposition of aorta and hypertrophy of right ventricle.</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(Q00-Q99) Cong~t96i\(Q20-Q28) Cong~fdo2\(Q21) Congenit~uodm\(Q21.3) Tetral~m7r6\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital malformations, deformations and chromosomal abnormalities (q00-q99) \ Congenital malformations of the circulatory system (q20-q28) \ Congenital malformations of cardiac septa \ Ventricular septal defect with pulmonary stenosis or atresia, dextroposition of aorta and hypertrophy of right ventricle.</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Ventricular septal defect with pulmonary stenosis or atresia, dextroposition of aorta and hypertrophy of right ventricle.</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(Q00-Q99) Cong~t96i\(Q20-Q28) Cong~fdo2\(Q21) Congenit~uodm\(Q21.3) Tetral~m7r6\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital malformations, deformations and chromosomal abnormalities (q00-q99) \ Congenital malformations of the circulatory system (q20-q28) \ Congenital malformations of cardiac septa \ Ventricular septal defect with pulmonary stenosis or atresia, dextroposition of aorta and hypertrophy of right ventricle.</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with the diagnosis of tetralogy of fallot, congenital pulmonary valve stenosis, and chronic pulmonary insufficiency following surgery, as well as patients with a specific combination of congenital malformations including ventricular septal defect with pulmonary stenosis or atresia, dextroposition of aorta, and hypertrophy of the right ventricle.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@13:51:15</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of Essential (Primary) Hypertension and Diabetes Mellitus (e08-e13) in the i2b2 database using the query builder.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Atrial -Gender@10:29:35</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Atrial fibrillation and flutter</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I30-I52) Othe~w6tz\(I48) Atrial f~wiu4\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Other forms of heart disease (i30-i52) \ Atrial fibrillation and flutter</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of Atrial fibrillation and flutter diagnoses (ICD10-ICD9 codes I30-I52) in the Diagnoses section of the i2b2 data, along with the gender information from the Demographics section of the i2b2 data, with a specificity scale of 0, accuracy scale of 100, and any timing for both panels.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Atrial -Gender@@13:45:45</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Atrial -Gender@10:53:52</item_name> <item_key>masterid:4509</item_key> <tooltip>Atrial -Gender@10:53:52</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with atrial fibrillation who are male or female, regardless of their specificity scale, time of diagnosis, or accuracy level, with the results displayed in a single panel using the Atrial - Gender query from 13:45:45.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@22:57:33</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes mellit@19:40:37</item_name> <item_key>masterid:4493</item_key> <tooltip>Diabetes mellit@19:40:37</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of diabetes mellitus, regardless of specificity or timing, and include only those who have been previously identified with the condition (PrevQuery) Diabetes mellit@19:40:37.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@22:58:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes mellit@19:40:37</item_name> <item_key>masterid:4493</item_key> <tooltip>Diabetes mellit@19:40:37</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes mellit@22:11:11</item_name> <item_key>masterid:4464</item_key> <tooltip>Diabetes mellit@22:11:11</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been diagnosed with Diabetes mellitus at any time, using the specified query builder xml. The query includes two items, one that checks for Diabetes mellitus at 9:40:37 (item_key: masterid:493) and another for Diabetes mellitus at 2:1:11 (item_key: masterid:464). The specificity scale is set to 0, indicating that the query will return all possible results, and the panel timing is set to ANY, meaning the query will consider all time frames. The accuracy scale is set to 100, ensuring high confidence in the results, and the invert value is set to 0, indicating that the results will not be inverted. The total number of items included in the query is 1, and the panel is set to ANY, meaning all panels will be considered. The query name is "Diabetes mellit@222:58:47".

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@13:53:19</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been diagnosed with both Essential (Primary) Hypertension and Diabetes Mellitus (e08-e13) at any time in their medical history, with a high level of specificity and accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Atrial -Gender@10:53:52</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Atrial fibrillation and flutter</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I30-I52) Othe~w6tz\(I48) Atrial f~wiu4\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Other forms of heart disease (i30-i52) \ Atrial fibrillation and flutter</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find the number of patients with a diagnosis of atrial fibrillation or flutter along with their gender information in the i2b2 database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-BASO % @@23:03:04</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Female-BASO % @14:01:09</item_name> <item_key>masterid:4503</item_key> <tooltip>Female-BASO % @14:01:09</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find the percentage of female patients with a BASO value recorded at 2:03 PM in the i2b2 database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@23:05:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes mellit@12:00:03</item_name> <item_key>masterid:4479</item_key> <tooltip>Diabetes mellit@12:00:03</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes mellit@22:11:11</item_name> <item_key>masterid:4464</item_key> <tooltip>Diabetes mellit@22:11:11</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes mellit@22:05:31</item_name> <item_key>masterid:4463</item_key> <tooltip>Diabetes mellit@22:05:31</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes mellit@11:56:38</item_name> <item_key>masterid:4477</item_key> <tooltip>Diabetes mellit@11:56:38</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes mellit@18:44:58</item_name> <item_key>masterid:4488</item_key> <tooltip>Diabetes mellit@18:44:58</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery) 18--Hyper-Atorv@16:05:04</item_name> <item_key>masterid:4472</item_key> <tooltip> 18--Hyper-Atorv@16:05:04</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery) 18--Hyper-Atorv@16:00:34</item_name> <item_key>masterid:4471</item_key> <tooltip> 18--Hyper-Atorv@16:00:34</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery) 18--Hyper-Atorv@15:59:18</item_name> <item_key>masterid:4470</item_key> <tooltip> 18--Hyper-Atorv@15:59:18</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery) 18--Hyper-Atorv@15:58:45</item_name> <item_key>masterid:4469</item_key> <tooltip> 18--Hyper-Atorv@15:58:45</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a history of diabetes mellitus, including those with the condition at 12:00:03, 2:11:11, 2:05:31, 1:56:38, and 18:4:58, as well as those with a history of hyper-atrial fibrillation at 16:05:04, 16:00:34, and 15:59:18, within any time frame, with a specificity scale of 0 and a panel accuracy scale of 100.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Atrial -Gender@17:15:04</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Atrial fibrillation and flutter</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I30-I52) Othe~w6tz\(I48) Atrial f~wiu4\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Other forms of heart disease (i30-i52) \ Atrial fibrillation and flutter</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of atrial fibrillation or flutter (ICD codes I48) along with their gender information in the demographics section.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute-acute-Acute@14:35:26</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>acute (recurrent) pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ acute (recurrent) pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Acute pancreatitis, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Acute pancreatitis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of acute pancreatitis, including acute (recurrent) pancreatitis and acute pancreatitis, unspecified, within the ICD-10 and ICD-9 codes for diseases of the digestive system and disorders of the gallbladder, biliary tract, and pancreas. The search will include all occurrences of these diagnoses, with a high level of specificity and accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@23:04:45</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes mellit@12:00:03</item_name> <item_key>masterid:4479</item_key> <tooltip>Diabetes mellit@12:00:03</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes mellit@22:11:11</item_name> <item_key>masterid:4464</item_key> <tooltip>Diabetes mellit@22:11:11</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes mellit@22:05:31</item_name> <item_key>masterid:4463</item_key> <tooltip>Diabetes mellit@22:05:31</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes mellit@11:56:38</item_name> <item_key>masterid:4477</item_key> <tooltip>Diabetes mellit@11:56:38</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes mellit@18:44:58</item_name> <item_key>masterid:4488</item_key> <tooltip>Diabetes mellit@18:44:58</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of diabetes mellitus based on the following previous queries: Diabetes mellitus at 12:00:03, Diabetes mellitus at 2:1:11, Diabetes mellitus at 2:05:31, and Diabetes mellitus at 1:56:38. The query should have a specificity scale of 0 and an accuracy scale of 100, and the timeframe for the diagnosis should be anytime.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Outpatient visi@23:06:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all outpatient visits that occurred at any time, with a specificity scale of 0 and an accuracy scale of 100, within a single panel of the query, using the i2b2 query builder.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute-acute-Acute@14:36:03</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>acute (recurrent) pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ acute (recurrent) pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>acute (recurrent) pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ acute (recurrent) pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Acute pancreatitis, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Acute pancreatitis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Acute pancreatitis, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Acute pancreatitis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of acute pancreatitis, including recurrent cases, but excluding those with a specific cause or location, within the specified time frame, using the ICD-10 and ICD-9 coding system for diseases of the digestive system and disorders of the gallbladder, biliary tract, and pancreas.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute-acute-Acute@14:37:08</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>acute (recurrent) pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ acute (recurrent) pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>acute (recurrent) pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ acute (recurrent) pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Acute pancreatitis, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Acute pancreatitis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Acute pancreatitis, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Acute pancreatitis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of acute pancreatitis, including both the primary and recurrent forms, within the ICD10/ICD9 Diagnoses section under the Diseases of the Digestive System category, specifically in the Disorders of Gallbladder, Biliary Tract, and Pancreas subcategory. Additionally, I am interested in patients with acute pancreatitis, unspecified, which is coded as K85.9 in the Acute pancreatitis subcategory.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Atrial -Gender@17:35:27</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Atrial fibrillation and flutter</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I30-I52) Othe~w6tz\(I48) Atrial f~wiu4\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Other forms of heart disease (i30-i52) \ Atrial fibrillation and flutter</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of Atrial fibrillation and flutter (ICD codes I48) and their gender information in the demographics section.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit D-Hyperte@15:55:40</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diseases of the circulatory system (i00-i99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99)</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Admit Diagnosis\</modifier_key> <applied_path>\Diagnoses\(I00-I99) Dise~3w8h\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hypertensive diseases (i10-i15)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with diagnoses related to diseases of the circulatory system (ICD codes I0-I9) who also have hypertensive diseases (ICD codes I10-I15) as their admit diagnosis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@01:33:26</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of diabetes mellitus, including any specific subtypes or related conditions, at any point in time, with a high level of accuracy and specificity.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Ketones (Group:@14:59:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Ketones (Group:UA-KET)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB48) Urinalysis\(LLB49) Urinalysis\UA-KET\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests \ Urinalysis \ Urinalysis \ Ketones (Group:UA-KET)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>IN</value_operator> <value_constraint>('3+')</value_constraint> <value_type>TEXT</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have had a urinalysis test with a result of 3+ or higher for ketones (UA-KET) at any time, regardless of the specificity or accuracy scale, and display the results on a single panel with no inversion and no synonyms applied.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:43:06</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find a query that searches for a specific patient (Person_#100000045) with a diagnosis of essential (primary) hypertension (ICD10-ICD9) and diabetes mellitus (e08-e13) within the i2b2 database. The query should have a specificity scale of 0, meaning that the results will include all records that match the specified criteria, and the timing should be set to "ANY," indicating that the search will cover the entire range of available data. The accuracy scale for each panel is set to 100, indicating a high level of confidence in the results. The query will not be inverted, and there is a single occurrence of each item in the panels. The panels are organized as follows: 1. The first panel searches for the diagnosis of essential (primary) hypertension under the category of diseases of the circulatory system (i0-i9) and hypertensive diseases (i10-i15). 2. The second panel searches for a diagnosis of diabetes mellit

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Atrial -Gender@22:20:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Atrial fibrillation and flutter</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I30-I52) Othe~w6tz\(I48) Atrial f~wiu4\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Other forms of heart disease (i30-i52) \ Atrial fibrillation and flutter</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of atrial fibrillation and flutter diagnoses in the ICD10_ICD9 code range (I0-I9) for Other forms of heart disease (I30-I52) and their relation to gender, with a specificity scale of 0 and a panel timing of ANY.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit Diagnosis@15:54:21</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diseases of the circulatory system (i00-i99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99)</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Admit Diagnosis\</modifier_key> <applied_path>\Diagnoses\(I00-I99) Dise~3w8h\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all diagnoses related to diseases of the circulatory system (ICD10-ICD9 codes I0-I9) that were recorded as the admit diagnosis, with a specificity scale of 0 and a panel accuracy scale of 100, for any time period.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit D-Chronic@15:54:57</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diseases of the circulatory system (i00-i99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99)</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Admit Diagnosis\</modifier_key> <applied_path>\Diagnoses\(I00-I99) Dise~3w8h\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Chronic rheumatic heart diseases (i05-i09)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I05-I09) Chro~61el\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Chronic rheumatic heart diseases (i05-i09)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been admitted with a diagnosis of diseases of the circulatory system (i0-i9) and chronic rheumatic heart diseases (i05-i09) with a specificity scale of 0 and any timing, including all occurrences of these diagnoses in the ICD10_ICD9 encounters.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Race-High in@21@12:32:51</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Race-High in@21:24:50</item_name> <item_key>masterid:16074</item_key> <tooltip>Race-High in@21:24:50</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)HEMOGLOBIN A1C,@18:22:16</item_name> <item_key>masterid:16057</item_key> <tooltip>HEMOGLOBIN A1C,@18:22:16</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a high hemoglobin A1C level (>18.2%) at any time and a high blood pressure reading (>120 mmHg) within 21 hours and 24 minutes of each other.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit D-Hyperte@15:55:49</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diseases of the circulatory system (i00-i99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99)</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Admit Diagnosis\</modifier_key> <applied_path>\Diagnoses\(I00-I99) Dise~3w8h\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hypertensive diseases (i10-i15)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been admitted with a diagnosis of diseases of the circulatory system (ICD codes I0-I9) and have a specific condition of hypertensive diseases (ICD codes I10-I15) within the same admission.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit D-Hyperte@15:57:24</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diseases of the circulatory system (i00-i99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99)</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Admit Diagnosis\</modifier_key> <applied_path>\Diagnoses\(I00-I99) Dise~3w8h\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hypertensive diseases (i10-i15)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with diagnoses related to diseases of the circulatory system (ICD-9 codes I0-I9) who were admitted to the hospital with a primary diagnosis of hypertension (ICD-9 codes I10-I15) within a specific time frame (ANY).

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabete-Endocri@01:38:06</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Endocrine disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of diabetes mellitus and endocrine disorders, with a specificity scale of 0 and accuracy scale of 100, including all occurrences of these diagnoses in their medical records.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@13:54:05</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with both essential primary hypertension and diabetes mellitus (e08-e13) diagnoses in their medical records, regardless of the timing of the diagnoses, and with a high level of accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>HMG-CoA reducta@14:38:00</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find a query that searches for patients who have been prescribed HMG-CoA reductase inhibitors, a class of medications used to treat high cholesterol, at any time with a specificity scale of 0, a panel accuracy scale of 100, and a panel number of 1, with the medication being the only item on the panel and no inversion applied.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabete-Female@14:40:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all female patients with a diagnosis of diabetes mellitus in the i2b2 database, with no specific timing constraints.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@13:55:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with both Essential (Primary) Hypertension and Diabetes Mellitus (e08-e13) diagnoses, regardless of the timing of their diagnoses, with a specificity scale of 0 and an accuracy scale of 100%. The query is named 'Essential (Pri@13:55:43' and consists of a single panel with no inversion of the results.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Black-Singl-ESR (@15:05:40</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Black</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Black\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Black</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Asian</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Asian\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Asian</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Single</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Marital Status\Single\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Marital Status \ Single</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>ESR (LOINC:4537-7)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB59) Other Hematology\ESR\LOINC:4537-7\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Other Hematology \ ESR (Group:ESR) \ Esr (LOINC:4537-7)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>GE</value_operator> <value_constraint>10</value_constraint> <value_unit_of_measure>mm/hr</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who are Black, single, and have an ESR (erythrocyte sedimentation rate) value greater than or equal to 10 mm/hr.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild dementia@11:55:34</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>moderate dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\moderate dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ moderate dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>No Alzheimers disease</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\MMSE score\No Alzheimers disease\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Clinical Measures \ MMSE score \ No Alzheimer's disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a mild dementia diagnosis, excluding those with moderate dementia or Alzheimer's disease. The search will be conducted across all available time periods and the specificity scale is set to 0. The panel includes three items: mild dementia, moderate dementia, and the absence of Alzheimer's disease. The accuracy scale is set to 100, indicating high confidence in the results. The query will return patients who have been diagnosed with mild dementia, but not moderate dementia or Alzheimer's disease.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>HMG-CoA-Hyperli@14:40:58</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia, group d</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.3) Hyperc~ggag\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Hyperlipidemia, group d</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia, group b</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.1) Pure h~lfbf\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Hyperlipidemia, group b</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Combined hyperlipidemia nos</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.2) Mixed~z0ea\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Combined hyperlipidemia nos</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia, group c</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.2) Mixed~z0ea\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Hyperlipidemia, group c</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.2) Mixed~z0ea\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia, group a</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.0) Pure h~vvif\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Hyperlipidemia, group a</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Familial combined hyperlipidemia</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.4) Other~p8ow\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Familial combined hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.5) Hyperl~kij0\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Hyperlipidemia, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other hyperlipidemia</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.4) Other~p8ow\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Other hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of hyperlipidemia, including mixed hyperlipidemia, hyperlipidemia group A, familial combined hyperlipidemia, and other types of hyperlipidemia.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperte-Pre-exi@14:53:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hypertensive diseases (i10-i15)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>hypertension (arterial) (benign) (essential) (malignant) (primary) (systemic)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ hypertension (arterial) (benign) (essential) (malignant) (primary) (systemic)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>high blood pressure</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ high blood pressure</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Pre-existing diabetes mellitus, type 2, in pregnancy, childbirth and the puerperium</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29) \ Diabetes mellitus in pregnancy, childbirth, and the puerperium \ Pre-existing diabetes mellitus, type 2, in pregnancy, childbirth and the puerperium</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Pre-existing diabetes mellitus, type 2, in pregnancy</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\(O24.11) Pre-e~6pf1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29) ... \ Pre-existing diabetes mellitus, type 2, in pregnancy</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Type 2 diabetes mellitus</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ Type 2 diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>insulin resistant diabetes (mellitus)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ insulin resistant diabetes (mellitus)</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>diabetes nos</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ diabetes nos</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>diabetes (mellitus) due to insulin secretory defect</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ diabetes (mellitus) due to insulin secretory defect</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension (I10-I15) and pre-existing diabetes mellitus, type 2, in pregnancy (O24.1). Additionally, I want to include patients with type 2 diabetes mellitus (E1), insulin resistant diabetes (mellitus), and diabetes (mellitus) due to insulin secretory defect (E1).

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Livin-Acute@18:36:15</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find encounters where the patient is between the ages of 35 and 64 years old and is living, and has a diagnosis of acute pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) FemaleAllergic rhinitAsthma@16:20:29</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Event 1</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> <span> <operator>GREATEREQUAL</operator> <span_value>1</span_value> <units>YEAR</units> </span> </subquery_constraint> <subquery> <query_id>Event 1</query_id> <query_type>EVENT</query_type> <query_name>Event 1</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Allergic rhinitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Upper respiratory tract infections (470-478)\(477) Allergic rhinitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Upper respiratory tract infections \ Allergic rhinitis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Event 2</query_id> <query_type>EVENT</query_type> <query_name>Event 2</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Asthma</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Chronic obstructive diseases (490-496)\(493) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Chronic obstructive diseases \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```

I want to find all female patients who have been diagnosed with both allergic rhinitis and asthma at any point in time, and the diagnosis of allergic rhinitis occurred within one year of the diagnosis of asthma.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>20-13@11:35:28</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>20</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\MMSE score\Mild Alzheimers disease\20\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ MMSE score \ Mild Alzheimer's disease \ 20</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>26</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\MMSE score\Mild Alzheimers disease\26\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ MMSE score \ Mild Alzheimer's disease \ 26</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>13</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\MMSE score\Moderate Alzheimers disease\13\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ MMSE score \ Moderate Alzheimer's disease \ 13</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances where the MMSE score indicates mild Alzheimer's disease with a score between 20 and 26, or moderate Alzheimer's disease with a score of 13.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>HMG-CoA-Hyperli@14:42:19</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia, group d</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.3) Hyperc~ggag\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Hyperlipidemia, group d</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia, group b</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.1) Pure h~lfbf\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Hyperlipidemia, group b</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Combined hyperlipidemia nos</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.2) Mixed~z0ea\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Combined hyperlipidemia nos</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia, group c</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.2) Mixed~z0ea\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Hyperlipidemia, group c</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.2) Mixed~z0ea\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia, group a</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.0) Pure h~vvif\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Hyperlipidemia, group a</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Familial combined hyperlipidemia</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.4) Other~p8ow\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Familial combined hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.5) Hyperl~kij0\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Hyperlipidemia, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other hyperlipidemia</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.4) Other~p8ow\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Other hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of hyperlipidemia, including combined hyperlipidemia, hyperlipidemia group C, mixed hyperlipidemia, hyperlipidemia group A, familial combined hyperlipidemia, and other hyperlipidemia.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperte-Pre-exi@14:49:21</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hypertensive diseases (i10-i15)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Pre-existing diabetes mellitus, type 2, in pregnancy, childbirth and the puerperium</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29) \ Diabetes mellitus in pregnancy, childbirth, and the puerperium \ Pre-existing diabetes mellitus, type 2, in pregnancy, childbirth and the puerperium</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Pre-existing diabetes mellitus, type 2, in pregnancy</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\(O24.11) Pre-e~6pf1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29) ... \ Pre-existing diabetes mellitus, type 2, in pregnancy</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-12) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-02) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-10) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, not stated as uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>DM II [Diabetes mellitus type II]</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-90) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}cified type, not stated as uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-30) Diabetes mellitus, type ~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}pe] [adult-onset type] or unspecified type, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-50) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ified type, not stated as uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-70) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype, not stated as uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find diagnoses related to diabetes mellitus, specifically focusing on type II diabetes mellitus, which includes non-insulin dependent type, adult-onset type, or unspecified type, with or without complications such as uncontrolled conditions, ophthalmic manifestations, other specified manifestations, or peripheral circulatory disorders.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperte-Pre-exi@14:50:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hypertensive diseases (i10-i15)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Pre-existing diabetes mellitus, type 2, in pregnancy, childbirth and the puerperium</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29) \ Diabetes mellitus in pregnancy, childbirth, and the puerperium \ Pre-existing diabetes mellitus, type 2, in pregnancy, childbirth and the puerperium</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Pre-existing diabetes mellitus, type 2, in pregnancy</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\(O24.11) Pre-e~6pf1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29) ... \ Pre-existing diabetes mellitus, type 2, in pregnancy</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-12) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-02) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-10) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, not stated as uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>DM II [Diabetes mellitus type II]</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-90) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}cified type, not stated as uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-30) Diabetes mellitus, type ~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}pe] [adult-onset type] or unspecified type, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-50) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ified type, not stated as uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-70) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype, not stated as uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-02) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-12) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus with other coma, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-32) Diabetes mellitus with o~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus with other coma, type II [non-in{..}ype] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find diabetes mellitus type II cases that are non-insulin dependent, NIDDM type, or adult-onset type, which are uncontrolled, with or without complications such as ophthalmic manifestations, other specified manifestations, peripheral circulatory disorders, ketoacidosis, or other coma.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>acute (recurren@15:03:21</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>acute (recurrent) pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ acute (recurrent) pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Acute pancreatitis, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Acute pancreatitis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pancreatitis nos</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Pancreatitis nos</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Acute hemorrhagic pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Idiopathic acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Recurrent acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Acute hemorrhagic pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Recurrent acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>acute (recurrent) pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ acute (recurrent) pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>hemorrhagic pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ hemorrhagic pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>subacute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ subacute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Acute pancreatitis, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Acute pancreatitis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.8) Other~it2t\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Other acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of acute pancreatitis, including recurrent acute pancreatitis, hemorrhagic pancreatitis, and subacute pancreatitis, as well as other types of acute pancreatitis in the ICD9 and i2b2 coding systems.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@13:56:20</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with both essential (primary) hypertension and diabetes mellitus (e08-e13) in the database using the i2b2 query builder.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essenti-Type 2 @15:10:07</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>high blood pressure</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ high blood pressure</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>hypertension (arterial) (benign) (essential) (malignant) (primary) (systemic)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ hypertension (arterial) (benign) (essential) (malignant) (primary) (systemic)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Type 2 diabetes mellitus</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ Type 2 diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>insulin resistant diabetes (mellitus)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ insulin resistant diabetes (mellitus)</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>diabetes nos</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ diabetes nos</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>diabetes (mellitus) due to insulin secretory defect</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ diabetes (mellitus) due to insulin secretory defect</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with essential (primary) hypertension or Type 2 diabetes mellitus.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute-acute-Acute@15:15:21</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>acute (recurrent) pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ acute (recurrent) pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Acute pancreatitis, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Acute pancreatitis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of acute pancreatitis, including recurrent cases, with no specific cause mentioned, using the ICD-10 and ICD-9 codes K85.0-K85.9, within any time frame, and with a high level of specificity and accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Essen-Diabe@16:27:04</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Essential hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hypertensive heart and renal disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(404) Hypertensive heart and rena~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Hypertensive heart and renal disease</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hypertensive heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(402) Hypertensive heart disease\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Hypertensive heart disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hypertensive renal disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(403) Hypertensive renal disease\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Hypertensive renal disease</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Secondary hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(405) Secondary hypertension\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Secondary hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-20) Diabetes mellitus, type ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}] or unspecified type with hyperosmolarity, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitustype II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-22) Diabetes mellitustype II~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitustype II [non-insulin dependent ty{..}ult-onset type] or unspecified type with hyperosmolarity, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-02) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-12) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-10) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, not stated as uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-60) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ied type, not stated as uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-62) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}e] or unspecified type, uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-52) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype] or unspecified type, uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-50) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ified type, not stated as uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-30) Diabetes mellitus, type ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}pe] [adult-onset type] or unspecified type, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus with other coma, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-32) Diabetes mellitus with o~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus with other coma, type II [non-in{..}ype] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-82) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}or unspecified type, uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-70) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype, not stated as uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-72) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} unspecified type, uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-40) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}nspecified type, not stated as uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-42) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}set type] or unspecified type, uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-92) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}type] or unspecified type, uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-90) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}cified type, not stated as uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with diabetes mellitus type II (non-insulin dependent type) or adult-onset type, with or without specified complications such as peripheral circulatory disorders, renal manifestations, or unspecified complications, whether the condition is controlled or not.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Person_-Essen-D@19:18:51</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Essen-D-Person_@19:13:45</item_name> <item_key>masterid:4626</item_key> <tooltip>Essen-D-Person_@19:13:45</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have the condition "Person_#1000000045" and who also have the encounter "Essen-D-Person_@19:13:45" at any time, with 1000% accuracy and with no synonyms.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Medications@09:38:39</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Medications</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\</item_key> <item_icon>FA</item_icon> <tooltip>Medications</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of medications recorded in the i2b2 database, regardless of time, with a high level of specificity and accuracy, and with the Medications item as the only panel, excluding any synonyms or related terms.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name> 45-54 years o@10:35:59</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find male patients aged 45-54 years old.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Hyper-HMG-C@18:40:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>&gt;= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who are 18-34 years old, 35-44 years old, 45-54 years old, 55-64 years old, 65-74 years old, or >= 85 years old, with a diagnosis of hyperlipidemia, and who have been prescribed HMG-CoA reductase inhibitors.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@13:56:51</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with both essential primary hypertension and diabetes mellitus (e08-e13).

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@13:57:50</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of Essential (Primary) Hypertension and Diabetes Mellitus (e08-e13) with any timing and 100% accuracy scale. The query will include patients with both conditions and exclude any synonyms.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild -Educa-Deriv@16:34:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Education</item_name> <item_key>\\BIRN\BIRN\oasis\Demographics\Education\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Demographics \ Education</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Derived Anatomic Volumes</item_name> <item_key>\\BIRN\BIRN\oasis\Derived Anatomic Volumes\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Derived Anatomic Volumes</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of mild dementia, who have an education level recorded in their medical records, and have derived anatomic volumes available in their medical records.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-BASO % @@10:39:17</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Female-BASO % @13:55:56 [9-7-2020] [demo]</item_name> <item_key>masterid:4502</item_key> <tooltip>Female-BASO % @13:55:56 [9-7-2020] [demo]</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find the percentage of female patients with a BASO (Blood Alcohol Screening Outcome) result at 10:39:17, with any timing, and a specificity scale of 0, compared to the previous query result at 13:55:56 on September 7, 202020, for a demo dataset.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Digesti-Mental @10:40:11</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Digestive system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Mental Disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Mental Disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of diagnoses related to the digestive system (ICD-9 codes 520-579) and mental disorders (ICD-9 codes 290-319) in the i2b2 database, with a specificity scale of 0, accuracy scale of 100, and no time constraints.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyper- 18--HMG-C@12:24:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been diagnosed with hyperlipidemia, are between the ages of 18-34, and have been prescribed HMG-CoA reductase inhibitors.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyper- 18--HMG-C@12:24:56</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been diagnosed with hyperlipidemia, aged between 18-444 years, and have been prescribed HMG-CoA reductase inhibitors.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Digesti-Mental @10:42:51</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Digestive system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Mental Disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Mental Disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find diagnoses related to the digestive system (ICD codes 520-579) and mental disorders (ICD codes 290-319) with an accuracy scale of 100% and no specificity scale, covering any time period.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute- Visi-Livin@12:09:00</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> Visit at ages 18-34 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Visit Details \ Age at visit \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> Visit at ages 35-44 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Visit Details \ Age at visit \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> Visit at ages 45-54 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Visit Details \ Age at visit \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Visit at age 55 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Age at visit \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Visit at age 56 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Age at visit \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Visit at age 57 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Age at visit \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Visit at age 58 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Age at visit \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Visit at age 59 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Age at visit \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Visit at age 60 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Age at visit \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have had a visit at ages 18-34, 35-44, or 45-54 years old, and are currently living.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@12:20:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of diagnoses related to diabetes mellitus, including both type 1 and type 2 diabetes, in the i2b2 database using the Endocrine disorders category, specifically within the Other endocrine gland diseases subcategory. The query will return results for any time frame (ANY timing) and has a high accuracy scale of 100, meaning the results are highly accurate. The query is not inverted, and there is only one item being searched for in the panel. The item is not a synonym and is classified as an ENC (Encounter) in the system.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Biliary tract x@12:56:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Biliary tract x-ray</item_name> <item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(87-99) Diagnostic and nonsurgical procedures\(p87) Diagnostic Radiology\(p87-5) Biliary tract x-ray\</item_key> <item_icon>FA</item_icon> <tooltip>Procedures \ ICD9 (Inpatient) \ Diagnostic and nonsurgical procedures \ Diagnostic Radiology \ Biliary tract x-ray</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of "Biliary tract x-ray" procedures performed at any time, with a specificity scale of 0, and a panel accuracy scale of 100, using the ICD9 (Inpatient) Diagnostic and nonsurgical procedures, Diagnostic Radiology, and Biliary tract x-ray classification.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Princ-Arabi-Clini@22:44:17</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Events of pregnancy</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Events of pregnancy (630-677)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Events of pregnancy</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Events of pregnancy (630-677)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Arabic</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Language\Arabic\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Language \ Arabic</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Clinical Dementia Rating (CDR)</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have a principal diagnosis of "Events of pregnancy" (ICD-9 codes 630-67), who speak Arabic as their primary language, and have a documented Clinical Dementia Rating (CDR) in their medical record.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Prima-Diabe@22:37:42</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Primary hypertension NOS</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with primary hypertension and type II diabetes mellitus without mention of complications.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute-Livin- Visi@12:10:09</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> Visit at ages 18-34 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Visit Details \ Age at visit \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> Visit at ages 35-44 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Visit Details \ Age at visit \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> Visit at ages 45-54 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Visit Details \ Age at visit \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> Visit at ages 55-64 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Visit Details \ Age at visit \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been diagnosed with acute pancreatitis, are currently living, and have had a visit between the ages of 18-64 years old.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyper- 18--HMG-C@12:26:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of hyperlipidemia aged 18-54 years old who have been prescribed HMG-CoA reductase inhibitors at any time.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyper- 18--HMG-C@12:26:33</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of hyperlipidemia aged between 18 and 64 years old who have been prescribed HMG-CoA reductase inhibitors at any time.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Biliary tract x@12:57:14</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Biliary tract x-ray</item_name> <item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(87-99) Diagnostic and nonsurgical procedures\(p87) Diagnostic Radiology\(p87-5) Biliary tract x-ray\</item_key> <item_icon>FA</item_icon> <tooltip>Procedures \ ICD9 (Inpatient) \ Diagnostic and nonsurgical procedures \ Diagnostic Radiology \ Biliary tract x-ray</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Diagnostic and nonsurgical procedures</item_name> <item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(87-99) Diagnostic and nonsurgical procedures\</item_key> <item_icon>FA</item_icon> <tooltip>Procedures \ ICD9 (Inpatient) \ Diagnostic and nonsurgical procedures</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have had a Biliary tract x-ray procedure at any time with a specificity scale of 0 and an accuracy scale of 100, and include the broader category of Diagnostic and nonsurgical procedures in the query result.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyper- 18--HMG-C@12:26:46</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of hyperlipidemia, aged between 18-74 years, who have been prescribed HMG-CoA reductase inhibitors at any time.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyper- 18--HMG-C@12:27:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of hyperlipidemia aged between 18 and 84 years old, who have not been prescribed HMG-CoA reductase inhibitors.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperte-Female@12:30:39</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with a diagnosis of essential hypertension and type II diabetes mellitus without mention of complications.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@13:57:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus (e08-e13) using the i2b2 query builder with a specificity scale of 0, any timing, and an accuracy scale of 100, with panel number 1 and a total of 1 item occurrence.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Digestive syste@12:58:34</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Digestive system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all diagnoses related to the digestive system (ICD-9 codes 520-579) with any timing, a specificity scale of 0, and a panel accuracy scale of 100. The query should have one panel, and the panel timing should also be anytime. The query should not be inverted, and it should have one item occurrence. The item name should be "Digestive system," and the item key should be "\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\". The icon should be "FA," and the class should be "ENC." The item should not be considered a synonym.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabe-Hucha-Obesi@13:26:08</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Huchard's disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Obesity and other hyperalimentation</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(278) Obesity and other hyperalim~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Obesity and other hyperalimentation</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with diagnoses of Diabetes mellitus, Huchard's disease (Unspecified essential hypertension), and Obesity and other hyperalimentation, with no specific timing requirement, and with a high level of accuracy for each condition.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Ischemic heart @09:46:22</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Ischemic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Ischemic heart disease (410-414)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Ischemic heart disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of Ischemic heart disease within the Circulatory system category using the i2b2 query builder with a specificity scale of 0, accuracy scale of 100, and no inversion, with a panel timing set to ANY and a query timing set to ANY.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) AsthmaAsthmaAsthma@20:17:24</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Observation A</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Observation B</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> <span> <operator>GREATEREQUAL</operator> <span_value>99</span_value> <units>DAY</units> </span> </subquery_constraint> <subquery> <query_id>Observation A</query_id> <query_type>EVENT</query_type> <query_name>Observation A</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Observation B</query_id> <query_type>EVENT</query_type> <query_name>Observation B</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```

I want to find patients with a diagnosis of asthma within 9 days of another asthma diagnosis, using the ICD-9 code range J00-J9 for diseases of the respiratory system and J40-J47 for chronic lower respiratory diseases, specifically J45 for asthma.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) FemaleFeverAsthma@16:22:56</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Event 1</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> <span> <operator>GREATEREQUAL</operator> <span_value>1</span_value> <units>YEAR</units> </span> </subquery_constraint> <subquery> <query_id>Event 1</query_id> <query_type>EVENT</query_type> <query_name>Event 1</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Fever</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\Symptoms (780-789)\(780) General symptoms\(780-6) Fever\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions \ Symptoms \ General symptoms \ Fever</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Event 2</query_id> <query_type>EVENT</query_type> <query_name>Event 2</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Asthma</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Chronic obstructive diseases (490-496)\(493) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Chronic obstructive diseases \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```

I want to find female patients who have been diagnosed with fever within the last year and have also been diagnosed with asthma at any point in time.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) AsthmaAsthmaAsthma@20:17:40</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Observation A</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Observation B</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> <span> <operator>GREATEREQUAL</operator> <span_value>8</span_value> <units>DAY</units> </span> </subquery_constraint> <subquery> <query_id>Observation A</query_id> <query_type>EVENT</query_type> <query_name>Observation A</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Observation B</query_id> <query_type>EVENT</query_type> <query_name>Observation B</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```

I want to find patients with a diagnosis of asthma (ICD code J45) within the chronic lower respiratory diseases category (J40-J47) and the diagnosis occurred within 8 days or less from the first query (Observation A) and the second query (Observation B) occurring in the same instance.