Clinical evaluation of code-based algorithms to identify patients with pulmonary arterial hypertension in healthcare databases.

ABSTRACT: Pulmonary arterial hypertension (PAH) is a rare subgroup of pulmonary hypertension (PH). Claims and administrative databases can be particularly important for research in rare diseases; however, there is a lack of validated algorithms to identify PAH patients using administrative codes. We aimed to measure the accuracy of code-based PAH algorithms against the true clinical diagnosis by right heart catheterization (RHC). This study evaluated algorithms in patients who were recorded in two linkable data assets: the Stanford Healthcare administrative electronic health record database and the Stanford Vera Moulton Wall Center clinical PH database (which records each patient's RHC diagnosis). We assessed the sensitivity and specificity achieved by 16 algorithms (six published). In total, 720 PH

SUBMITTER: Didden EM 

PROVIDER: S-EPMC10851026 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature