Systemic Lupus Erythematosus Phenotype Algorithm Validated


The Electronic Medical Records and Genomics (eMERGE) Network has announced that the phenotype algorithm for Systemic Lupus Erythematosus (SLE) using Systemic Lupus International Collaborating Clinics (SLICC) criteria has been validated by Northwestern Medicine and Mayo Clinic with sufficient positive predictive values (PPV). The algorithm will be used to identify patients who may have a missed diagnosis of lupus, which presents differently form person to person and can be extremely difficult to accurately diagnose.

Along with collaborators, CHIP’s Associate Director Dr. Theresa Walunas and Data Analyst Anika Ghosh developed the algorithm using SLICC, lupus diagnostic criteria that includes clinical and immunologic symptoms of the autoimmune disease. Expanding use of the phenotype algorithm across eMERGE sites will allow for a more diverse patient population, thereby increasing the algorithm’s diagnostic effectiveness. The final algorithm and data dictionary are now available on the Phenotype KnowledgeBase, a collaborative environment to building and validating electronic algorithms to identify characteristics of patients using their health data.  

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