A clinical risk stratification tool for predicting treatment resistance in major depressive disorder.

ABSTRACT:

Background

Early identification of depressed individuals at high risk for treatment resistance could be helpful in selecting optimal setting and intensity of care. At present, validated tools to facilitate this risk stratification are rarely used in psychiatric practice.

Methods

Data were drawn from the first two treatment levels of a multicenter antidepressant effectiveness study in major depressive disorder, the STAR*D (Sequenced Treatment Alternatives to Relieve Depression) cohort. This cohort was divided into training, testing, and validation subsets. Only clinical or sociodemographic variables available by or readily amenable to self-report were considered. Multivariate models were developed to discriminate individuals reaching remission with a first or second pharmacol

SUBMITTER: Perlis RH 

PROVIDER: S-EPMC3690142 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature