Literature DB >> 25596332

Age-at-onset and comorbidity may separate depressive disorder subtypes along a descending gradient of bipolar propensity.

Jean-Michel Azorin1, Raoul Belzeaux2, Marc Adida2.   

Abstract

Depressive illnesses with subthreshold bipolar features are still misdiagnosed as unipolar. The goal of this study was to identify depressive disorder subtypes at risk for bipolarity. Four hundred ninety three major depressive patients were submitted to a cluster analysis on the basis of affective illness history and symptoms of the current episode. Seven clusters were identified which were regrouped into three age-at-onset subgroups; subgroups were further differentiated into subtypes according to predominant comorbidities. The latter were found to precede the occurrence of the related depressive disorder subtypes, decrease their age-at-onset, and increase their risk of belonging to the bipolar spectrum: the earlier the comorbidity, the higher the bipolar propensity was. This is likely to have implications for the diagnosis, natural history, as well as prophylaxis of bipolar disorders.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Age-at-onset; Bipolar disorder; Cluster analysis; Comorbidity; Depressive disorder

Mesh:

Year:  2015        PMID: 25596332     DOI: 10.1016/j.bbr.2015.01.014

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  1 in total

1.  Discrimination between Alzheimer's Disease and Late Onset Bipolar Disorder Using Multivariate Analysis.

Authors:  Ariadna Besga; Itxaso Gonzalez; Enrique Echeburua; Alexandre Savio; Borja Ayerdi; Darya Chyzhyk; Jose L M Madrigal; Juan C Leza; Manuel Graña; Ana Maria Gonzalez-Pinto
Journal:  Front Aging Neurosci       Date:  2015-12-14       Impact factor: 5.750

  1 in total

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