Literature DB >> 30947531

General Predictors and Moderators of Depression Remission: A VAST-D Report.

Sidney Zisook1, Gary R Johnson1, Ilanit Tal1, Paul Hicks1, Peijun Chen1, Lori Davis1, Michael Thase1, Yinjun Zhao1, Julia Vertrees1, Somaia Mohamed1.   

Abstract

OBJECTIVE: Almost two-thirds of patients with major depressive disorder do not achieve remission with initial treatments. Thus, identifying and providing effective, feasible, and safe "next-step" treatments are clinical imperatives. This study explores patient baseline features that might help clinicians select between commonly used next-step treatments.
METHODS: The authors used data from the U.S. Department of Veterans Affairs (VA) Augmentation and Switching Treatments for Improving Depression Outcomes (VAST-D) study, a multisite, randomized, single-blind trial of 1,522 Veterans Health Administration patients who did not have an adequate response to at least one course of antidepressant treatment meeting minimal standards for dosage and duration. For 12 weeks, participants received one of three possible next-step treatments: switch to another antidepressant-sustained-release bupropion; combination with another antidepressant-sustained-release bupropion; or augmentation with an antipsychotic-aripiprazole. Life table regression models were used to identify baseline characteristics associated with remission overall (general predictors) and their interaction with remission among the three treatment groups (moderators).
RESULTS: Remission was more likely for individuals who were employed, less severely and chronically depressed, less anxious, not experiencing complicated grief symptoms, did not experience childhood adversity, and had better quality of life and positive mental health. Two features suggested specific next-step treatment selections: age ≥65 years (for whom augmentation with aripiprazole was more effective than switch to bupropion) and severe mixed hypomanic symptoms (for which augmentation with aripiprazole and combination with bupropion were more effective than switch to bupropion).
CONCLUSIONS: If replicated, these preliminary findings could help clinicians determine which patients with depression requiring next-step treatment will benefit most from a specific augmentation, combination, or switching strategy.

Entities:  

Keywords:  Antidepressants; Major Depressive Disorder; Mood Disorders–Unipolar; Treatment-Resistant Depression

Year:  2019        PMID: 30947531     DOI: 10.1176/appi.ajp.2018.18091079

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  6 in total

1.  Consequences of Recurrence of Major Depressive Disorder: Is Stopping Effective Antidepressant Medications Ever Safe?

Authors:  Jennifer Severe; John F Greden; Priyanka Reddy
Journal:  Focus (Am Psychiatr Publ)       Date:  2020-04-23

2.  Challenges of Mood Disorders Care.

Authors: 
Journal:  Focus (Am Psychiatr Publ)       Date:  2020-04-23

3.  Predictors of remission after repetitive transcranial magnetic stimulation for the treatment of major depressive disorder: An analysis from the randomised non-inferiority THREE-D trial.

Authors:  Alisson P Trevizol; Jonathan Downar; Fidel Vila-Rodriguez; Kevin E Thorpe; Zafiris J Daskalakis; Daniel M Blumberger
Journal:  EClinicalMedicine       Date:  2020-04-30

4.  Clinical trials proposed for the VA Cooperative Studies Program: Success rates and factors impacting approval.

Authors:  David R Burnaska; Grant D Huang; Timothy J O'Leary
Journal:  Contemp Clin Trials Commun       Date:  2021-07-09

5.  Computer-Assisted Avatar-Based Treatment for Dysfunctional Beliefs in Depressive Inpatients: A Pilot Study.

Authors:  Martin Kocur; Martin Dechant; Christian Wolff; Caroline Nothdurfter; Thomas C Wetter; Rainer Rupprecht; Youssef Shiban
Journal:  Front Psychiatry       Date:  2021-07-15       Impact factor: 4.157

6.  Predictors of Remission in Acute and Continuation Treatment of Depressive Disorders.

Authors:  Ha-Yeon Kim; Hee-Joon Lee; Min Jhon; Ju-Wan Kim; Hee-Ju Kang; Ju-Yeon Lee; Sung-Wan Kim; Il-Seon Shin; Jae-Min Kim
Journal:  Clin Psychopharmacol Neurosci       Date:  2021-08-31       Impact factor: 2.582

  6 in total

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