Predictors of response and remission in a naturalistic inpatient sample undergoing multimodal treatment for...

Many depressed patients do not achieve response or remission despite adequate treatment. Identifying predictors of outcome can contribute to developing therapeutic algorithms for difficult-to-treat depression. Therefore, we examined clinical predictors of response and remission in a naturalistic inpatient sample undergoing multimodal treatment for depression.

Three hundred and fifty-one consecutive inpatients admitted to a tertiary care university hospital (specialized psychiatry unit for treatment of unipolar and bipolar depression) between January 2014 and December 2016 were characterized by a set of sociodemographic and clinical variables. The predictive value of these variables for response (≥ 50% decrease from baseline Montgomery-Åsberg Depression Rating Scale (MADRS) score) and remission (MADRS score at discharge < 10) were explored using bivariate analysis and logistic regression.

Greater symptom severity and fewer psychotropic medications at the time of admission predicted response. Remission rates were higher for patients with non-chronic depression, higher number of previous depressive episodes, fewer psychotropic medications and less severe depression at admission.

This was a retrospective study without a control group. The sample was drawn from a single inpatient ward specialized for difficult-to-treat depression.

Greater baseline depression severity might be a proxy for a less chronic course of depression thereby explaining its association with greater response rates. Fewer episodes in the past and polypharmacy could indicate treatment-resistance and chronicity, contributing to lower remission rates. Therefore, preventing chronicity should be a central aim of depression treatment.