Phenotype Algorithms to Identify Hidradenitis Suppurativa Using Real-World Data: Development and Validation Study.

ABSTRACT:

Background

Hidradenitis suppurativa (HS) is a potentially debilitating, chronic, recurring inflammatory disease. Observational databases provide opportunities to study the epidemiology of HS.

Objective

This study's objective was to develop phenotype algorithms for HS suitable for epidemiological studies based on a network of observational databases.

Methods

A data-driven approach was used to develop 4 HS algorithms. A literature search identified prior HS algorithms. Standardized databases from the Observational Medical Outcomes Partnership (n=9) were used to develop 2 incident and 2 prevalent HS phenotype algorithms. Two open-source diagnostic tools, CohortDiagnostics and PheValuator, were used to evaluate and generate phenotype performance metric estimates, includin

SUBMITTER: Hardin J 

PROVIDER: S-EPMC10334943 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature