Cross-EHR validation of antidepressant response algorithm and links with genetics of psychiatric traits.

ABSTRACT:

Objective

Antidepressants are commonly prescribed medications in the United States, however, factors underlying response are poorly understood. Electronic health records (EHRs) provide a cost-effective way to create and test response algorithms on large, longitudinal cohorts. We describe a new antidepressant response algorithm, validation in two independent EHR databases, and genetic associations with antidepressant response.

Method

We deployed the algorithm in EHRs at Vanderbilt University Medical Center (VUMC), the All of Us Research Program, and the Mass General Brigham Healthcare System (MGB) and validated response outcomes with patient health questionnaire (PHQ) scores. In a meta-analysis across all sites, worse antidepressant response associated with higher PHQ-8 score

SUBMITTER: Sealock JM 

PROVIDER: S-EPMC11419221 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature