Predicting relapse in major depressive disorder using patient-reported outcomes of depressive symptom severity, functioning, and quality of life in the Individual Burden of Illness Index for Depression (IBI-D).

ABSTRACT:

Background

Patients with Major Depressive Disorder (MDD) often experience unexpected relapses, despite achieving remission. This study examines the utility of a single multidimensional measure that captures variance in patient-reported Depressive Symptom Severity, Functioning, and Quality of Life (QOL), in predicting MDD relapse.

Methods

Complete data from remitted patients at the completion of 12 weeks of citalopram in the STAR*D study were used to calculate the Individual Burden of Illness index for Depression (IBI-D), and predict subsequent relapse at six (n=956), nine (n=778), and twelve months (n=479) using generalized linear models.

Results

Depressive Symptom Severity, Functioning, and QOL were all predictors of subsequent relapse. Using Akaike information crite

SUBMITTER: Ishak WW 

PROVIDER: S-EPMC4167729 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature