Literature DB >> 26451508

Socio-demographic and clinical predictors of treatment resistant depression: A prospective European multicenter study.

Martina Balestri1, Raffaella Calati2, Daniel Souery3, Alexander Kautzky4, Siegfried Kasper4, Stuart Montgomery5, Joseph Zohar6, Julien Mendlewicz7, Alessandro Serretti8.   

Abstract

BACKGROUND: Few studies investigated socio-demographic and clinical predictors of non response and remission in treatment resistant depression (TRD) in the case of failure of more than two adequate antidepressant (AD) trial. The primary aim of this study was to investigate socio-demographic and clinical predictors of TRD defined as the lack of response to at least three adequate AD treatments, two of which prospectively evaluated. As secondary aims, we also investigated predictors of non response and remission to: (1) at least two adequate AD treatment (one of which prospectively assessed); (2) at least one adequate and retrospectively assessed AD treatment.
METHODS: In the context of a European multicenter project, 407 major depressive disorder (MDD) patients who failed to respond to a previous AD treatment were recruited for a 2 stage trial, firstly receiving venlafaxine and then escitalopram. MINI, HRSD, MADRS, UKU, CGI-S and CGI-I were administered.
RESULTS: Ninety eight subjects (27.61%) were considered as resistant to three AD treatments. Clinical predictors were: longer duration and higher severity of the current episode (p=0.004; ES=0.24; p=0.01; RR=1.41, respectively), outpatient status (p=0.04; RR=1.58), higher suicidal risk level (p=0.02; RR=1.49), higher rate of the first/second degree psychiatric antecedents (MDD and others) (p=0.04; RR=1.31, p=0.03; RR=1.32 respectively) and side effects during treatments (p=0.002; RR=2.82). Multivariate analyses underlined the association between TRD and the severity of the current episode (p=0.04). As for secondary outcomes, predicting factors were partially overlapping. LIMITATIONS: The limited sample size and specific drugs used limit present findings.
CONCLUSION: Subjects with a high degree of resistance to AD treatments show specific features which may guide the clinicians to the choice of more appropriate therapies at baseline.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antidepressant; Depression; Predictors; Remission; Response

Mesh:

Substances:

Year:  2015        PMID: 26451508     DOI: 10.1016/j.jad.2015.09.033

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  19 in total

1.  Comorbid anxiety in late-life depression: Relationship with remission and suicidal ideation on venlafaxine treatment.

Authors:  Yasmina M Saade; Ginger Nicol; Eric J Lenze; J Philip Miller; Michael Yingling; Julie Loebach Wetherell; Charles F Reynolds; Benoit H Mulsant
Journal:  Depress Anxiety       Date:  2019-11-04       Impact factor: 6.505

2.  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

3.  Economic Burden of Treatment-Resistant Depression among Adults with Chronic Non-Cancer Pain Conditions and Major Depressive Disorder in the US.

Authors:  Drishti Shah; Lindsay Allen; Wanhong Zheng; Suresh S Madhavan; Wenhui Wei; Traci J LeMasters; Usha Sambamoorthi
Journal:  Pharmacoeconomics       Date:  2021-04-27       Impact factor: 4.558

4.  The Antidiabetic Metformin as an Adjunct to Antidepressants in Patients with Major Depressive Disorder: A Proof-of-Concept, Randomized, Double-Blind, Placebo-Controlled Trial.

Authors:  Mahmoud S Abdallah; Esraa M Mosalam; Abdel-Aziz A Zidan; Khaled S Elattar; Shimaa A Zaki; Ahmed N Ramadan; Abla M Ebeid
Journal:  Neurotherapeutics       Date:  2020-10       Impact factor: 6.088

5.  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

6.  Effects of Shambhavi Mahamudra Kriya, a Multicomponent Breath-Based Yogic Practice ( Pranayama), on Perceived Stress and General Well-Being.

Authors:  Christine Tara Peterson; Sarah M Bauer; Deepak Chopra; Paul J Mills; Raj K Maturi
Journal:  J Evid Based Complementary Altern Med       Date:  2017-09-22

7.  Risk and risk factors for disability pension among patients with treatment resistant depression- a matched cohort study.

Authors:  Heidi Taipale; Johan Reutfors; Antti Tanskanen; Lena Brandt; Jari Tiihonen; Allitia DiBernardo; Ellenor Mittendorfer-Rutz; Philip Brenner
Journal:  BMC Psychiatry       Date:  2020-05-13       Impact factor: 3.630

Review 8.  Prognosis and improved outcomes in major depression: a review.

Authors:  Christoph Kraus; Bashkim Kadriu; Rupert Lanzenberger; Carlos A Zarate; Siegfried Kasper
Journal:  Transl Psychiatry       Date:  2019-04-03       Impact factor: 6.222

9.  Psychopathological and sociodemographic features in treatment-resistant unipolar depression versus bipolar depression: a comparative study.

Authors:  Nicolas A Nuñez; Stefano Comai; Eduard Dumitrescu; Maykel F Ghabrash; John Tabaka; Marie Saint-Laurent; Stephen Vida; Theodore Kolivakis; Allan Fielding; Nancy Low; Pablo Cervantes; Linda Booij; Gabriella Gobbi
Journal:  BMC Psychiatry       Date:  2018-03-16       Impact factor: 3.630

10.  Clinical factors predicting treatment resistant depression: affirmative results from the European multicenter study.

Authors:  A Kautzky; M Dold; L Bartova; M Spies; G S Kranz; D Souery; S Montgomery; J Mendlewicz; J Zohar; C Fabbri; A Serretti; R Lanzenberger; D Dikeos; D Rujescu; S Kasper
Journal:  Acta Psychiatr Scand       Date:  2018-10-05       Impact factor: 6.392

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