Rheumatoid Arthritis (RA)
This rheumatoid arthritis (RA) algorithm was created using a machine-learning logistic regression model.
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Rheumatoid Arthritis - Demonstration Project
Rheumatoid Arthritis phenotype algorithm for the DNA Databank demonstration project.
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Rheumatology Auto-Immune characteristics
Dear,
To identify cases with auto-immune rheumatologic phenotye (for NT198) we request information about auto-antibody (whether it was tested and what the restults were) and drug information (whether it was prescribed) for each patients that is enrolled in eMERGE. We are requesting every mention of any of the expanded generic drugs.
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RxNorm RxCUI codes for Cancer Therapies
This phenotype includes RxNorm RxCUI codes for cancer therapies. These codes map to drug records in the PCORnet Common Data Model and other data sources. The phenotype was developed in 2019. Please see the associated files for additional information.
The development of this phenotype was supported by a Patient-Centered Outcomes Research Institute (PCORI) Award (No. CDRN-1306-04631) for the development of the national patient-centered clinical research network, known as PCORnet.
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Sickle Cell Disease
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SLE (Systemic Lupus Erythematosus) using SLICC (Systemic Lupus Internation Collaborating Clinics) Criteria
Systemic Lupus Erythematosus (SLE) is a chronic, systemic autoimmune disease that can affect many parts of the body including skin, lungs, brain, heart, kidneys, joints, and blood vessels. SLE presentation can vary significantly between patients. Because of this, it can be challenging to identify a patient as having SLE. Between 300,000 and 2,000,000 people in the US are estimated to have SLE. Determination of an exact number of people affected is challenging as the disease is difficult to identify given the diverse presentations and the length of time it may take for symptoms to appear.
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Sleep Apnea Phenotype
- The computable phenotype for the Sleep Apnea Patient Centered Outcomes Network uses existing and well established ICD codes for different types of sleep apnea including 327.23 (adult and pediatric obstructive sleep apnea), 780.51 (insomnia with sleep apnea), 780.53 (hypersomnia with sleep apnea), and 780.57 (unspecified sleep apnea).
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Statins and MACE
Phenotype Description: Patients on statins for primary prevention who develop an AMI or 1st AMI.
Below are algorithms used to identify AMI and 1st AMI cohort at BioVU. If you have questions regarding any of the information presented on this page, you may contact either:
Wei-Qi Wei at wei-qi.wei@vanderbilt.edu
Joshua Denny at josh.denny@vanderbilt.edu
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Steroid Induced Osteonecrosis
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