Finding factors that predict treatment-resistant depression: Results of a cohort study.

ABSTRACT:

Background

Treatment for depressive disorders often requires subsequent interventions. Patients who do not respond to antidepressants have treatment-resistant depression (TRD). Predicting who will develop TRD may help healthcare providers make more effective treatment decisions. We sought to identify factors that predict TRD in a real-world setting using claims databases.

Methods

A retrospective cohort study was conducted in a US claims database of adult subjects with newly diagnosed and treated depression with no mania, dementia, and psychosis. The index date was the date of antidepressant dispensing. The outcome was TRD, defined as having at least three distinct antidepressants or one antidepressant and one antipsychotic within 1 year after the index date. Predictors were

SUBMITTER: Cepeda MS 

PROVIDER: S-EPMC6055726 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature