Literature DB >> 31195243

Relationships between recurrence and polarity in major depressive disorders: Pooled analysis of the BRIDGE and BRIDGE-II-MIX cohorts.

Margherita Barbuti1, Lorenzo Mazzarini2, Eduard Vieta3, Jean-Michel Azorin4, Jules Angst5, Charles L Bowden6, Sergey Mosolov7, Allan H Young8, Giulio Perugi9.   

Abstract

BACKGROUND: current classifications of mood disorders focus on polarity rather than recurrence, separating bipolar disorder from major depressive disorder (MDD). The aim of the present study is to explore the possible relationships between number and frequency of depressive episodes and clinical variables associated to bipolarity, in a large sample of MDD patients.
METHODS: the clinical characteristics of 7055 patients with MDD were analyzed and compared according to the number and frequency of depressive episodes. Two stepwise backward logistic regression model were used to identify the predictive value of clinical features based on the presence of high number (≥3 episodes) and high frequency (≥3 episodes/year) of depressive episodes.
RESULTS: high-recurrence and high-frequency MDD patients showed greater family history for bipolar disorder, higher prevalence of psychotic features, more suicide attempts, higher rates of treatment resistance and mood switches with antidepressants (ADs) and higher rates of bipolarity diagnosis according to Angst criteria, compared to low-recurrence and low-frequency patients. Logistic regressions showed that a brief current depressive episode, a previous history of treatment resistance and AD-induced mood switches, a diagnosis of bipolarity and comorbid borderline personality disorder were the variables associated with both high-recurrence and high-frequency depression. LIMITATIONS: the study participating centers were not randomly selected and several variables were retrospectively assessed.
CONCLUSIONS: even in the absence of hypomanic/manic episodes, high-recurrence and high-frequency MDD seem to be in continuity with the bipolar spectrum disorders in terms of clinical features and, perhaps, treatment response.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Major depressive disorder; Recurrent depression

Mesh:

Substances:

Year:  2019        PMID: 31195243     DOI: 10.1016/j.jad.2019.06.005

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


  5 in total

1.  Deconstructing major depressive episodes across unipolar and bipolar depression by severity and duration: a cross-diagnostic cluster analysis on a large, international, observational study.

Authors:  Filippo Corponi; Gerard Anmella; Isabella Pacchiarotti; Ludovic Samalin; Norma Verdolini; Dina Popovic; Jean-Michel Azorin; Jules Angst; Charles L Bowden; Sergey Mosolov; Allan H Young; Giulio Perugi; Eduard Vieta; Andrea Murru
Journal:  Transl Psychiatry       Date:  2020-07-19       Impact factor: 6.222

2.  Clinical characteristics of treatment-resistant depression in adults in Hungary: Real-world evidence from a 7-year-long retrospective data analysis.

Authors:  Péter Döme; Péter Kunovszki; Péter Takács; László Fehér; Tamás Balázs; Károly Dede; Siobhán Mulhern-Haughey; Sébastien Barbreau; Zoltán Rihmer
Journal:  PLoS One       Date:  2021-01-20       Impact factor: 3.240

3.  Nightmare Distress as a Risk Factor for Suicide Among Adolescents with Major Depressive Disorder.

Authors:  Tian-He Song; Ting-Ting Wang; Yun-Yue Zhuang; Hua Zhang; Jun-Hui Feng; Tang-Ren Luo; Shuang-Jiang Zhou; Jing-Xu Chen
Journal:  Nat Sci Sleep       Date:  2022-09-22

4.  Electroconvulsive Therapy (ECT) in Bipolar Disorder Patients with Ultra-Rapid Cycling and Unstable Mixed States.

Authors:  Sergey Mosolov; Christoph Born; Heinz Grunze
Journal:  Medicina (Kaunas)       Date:  2021-06-15       Impact factor: 2.430

5.  Prevalence of mood, panic and eating disorders in obese patients referred to bariatric surgery: patterns of comorbidity and relationship with body mass index.

Authors:  Margherita Barbuti; Giulio E Brancati; Alba Calderone; Paola Fierabracci; Guido Salvetti; Francesco Weiss; Giulia Carignani; Ferruccio Santini; Giulio Perugi
Journal:  Eat Weight Disord       Date:  2021-06-16       Impact factor: 4.652

  5 in total

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