Literature DB >> 27155594

Socio-demographic and clinical predictors of non-response/non-remission in treatment resistant depressed patients: A systematic review.

Vera De Carlo1, Raffaella Calati2, Alessandro Serretti3.   

Abstract

Up to one third of patients adequately treated for Major Depressive Disorder (MDD) do not respond to multiple interventions. Many studies investigated predictors in MDD outcome, but no study focused on predictors of non-response or non-remission to antidepressants in subjects with treatment resistant depression (TRD). The present study aimed to evaluate possible socio-demographic and clinical predictors of non-response and non-remission in MDD patients who failed to benefit from at least one antidepressant trial. A total of 51 papers were included. A number of severity indicators, such as longer duration of depressive episode, moderate-high suicidal risk, anxious comorbidity, higher number of hospitalizations and higher dosage of antidepressants, were associated with non-response as well as age. Interestingly, severity of illness, as well as comorbid personality disorders and anxiety symptoms, had also a predictive value in non-remission with the addition of marital status. Considering limitations, selected studies were observational or randomized non controlled/controlled trials and different TRD definitions and outcome measures were used. Overall, predictors of outcome were similar to MDD, but specific socio-demographic and clinical factors should be considered in clinical practice to formulate a more focused treatment in TRD patients.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Antidepressant; Depression; Predictors; Treatment resistant depression

Mesh:

Substances:

Year:  2016        PMID: 27155594     DOI: 10.1016/j.psychres.2016.04.034

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  37 in total

1.  Acute and chronic treatment with quetiapine induces antidepressant-like behavior and exerts antioxidant effects in the rat brain.

Authors:  Zuleide M Ignácio; Gislaine Z Réus; Helena M Abelaira; Airam B de Moura; Thays G de Souza; Danyela Matos; Mariana P Goldim; Khiany Mathias; Leandro Garbossa; Fabricia Petronilho; João Quevedo
Journal:  Metab Brain Dis       Date:  2017-05-06       Impact factor: 3.584

Review 2.  Four Reasons Why Assisted Dying Should Not Be Offered for Depression.

Authors:  Thomas Blikshavn; Tonje Lossius Husum; Morten Magelssen
Journal:  J Bioeth Inq       Date:  2016-12-08       Impact factor: 1.352

3.  Predicting treatment outcome in depression: an introduction into current concepts and challenges.

Authors:  Nicolas Rost; Elisabeth B Binder; Tanja M Brückl
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2022-05-19       Impact factor: 5.270

4.  The impact of comorbid spinal pain in depression on work participation and clinical remission following brief or short psychotherapy. Secondary analysis of a randomized controlled trial with two-year follow-up.

Authors:  Marjon E A Wormgoor; Aage Indahl; Jens Egeland
Journal:  PLoS One       Date:  2022-08-22       Impact factor: 3.752

5.  Breathing-focused Yoga as Augmentation for Unipolar and Bipolar Depression: A Randomized Controlled Trial: Le yoga axé sur la respiration comme traitement d'appoint pour la dépression unipolaire et bipolaire: Un essai randomisé contrôlé.

Authors:  Arun V Ravindran; Martha S McKay; Tricia da Silva; Claudia Tindall; Tiffany Garfinkel; Angela Paric; Lakshmi Ravindran
Journal:  Can J Psychiatry       Date:  2020-07-17       Impact factor: 4.356

6.  Effects of anxiety on suicidal ideation: exploratory analysis of a paroxetine versus bupropion randomized trial.

Authors:  Michelle S Parris; Julia E Marver; Sadia R Chaudhury; Steven P Ellis; Allison V Metts; John G Keilp; Ainsley K Burke; Maria A Oquendo; Joseph J Mann; Michael F Grunebaum
Journal:  Int Clin Psychopharmacol       Date:  2018-09       Impact factor: 1.659

7.  Using a machine learning approach to investigate factors associated with treatment-resistant depression among adults with chronic non-cancer pain conditions and major depressive disorder.

Authors:  Drishti Shah; Wanhong Zheng; Lindsay Allen; Wenhui Wei; Traci LeMasters; Suresh Madhavan; Usha Sambamoorthi
Journal:  Curr Med Res Opin       Date:  2021-03-24       Impact factor: 2.580

8.  A pilot investigation of accelerated deep transcranial magnetic stimulation protocols in treatment-resistant depression.

Authors:  Igor Filipčić; Ivona Šimunović Filipčić; Strahimir Sučić; Željko Milovac; Natko Gereš; Katarina Matić; Mirela Čelić-Ružić; Sandra Zečević Penić; Ivana Orgulan; Vladimir Požgaj; Žarko Bajić
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2020-05-24       Impact factor: 5.270

9.  Significant Need for a French Network of Expert Centers Enabling a Better Characterization and Management of Treatment-Resistant Depression (Fondation FondaMental).

Authors:  Antoine Yrondi; Djamila Bennabi; Emmanuel Haffen; Marion Garnier; Frank Bellivier; Thierry Bourgerol; Vincent Camus; Thierry D'Amato; Olivier Doumy; Frédéric Haesebaert; Jérôme Holtzmann; Christophe Lançon; Philippe Vignaud; Fanny Moliere; Isabel Nieto; Raphaëlle Marie Richieri; Philippe Domenech; Corentin Rabu; Luc Mallet; Liova Yon; Laurent Schmitt; Florian Stephan; Guillaume Vaiva; Michel Walter; Pierre-Michel Llorca; Philippe Courtet; Marion Leboyer; Wissam El-Hage; Bruno Aouizerate
Journal:  Front Psychiatry       Date:  2017-11-24       Impact factor: 4.157

10.  Pre-treatment EEG signal variability is associated with treatment success in depression.

Authors:  Natalia Jaworska; Hongye Wang; Dylan M Smith; Pierre Blier; Verner Knott; Andrea B Protzner
Journal:  Neuroimage Clin       Date:  2017-10-31       Impact factor: 4.881

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.