Literature DB >> 23769605

Characteristics and profiles of bipolar I patients according to age-at-onset: findings from an admixture analysis.

Jean-Michel Azorin1, Frank Bellivier, Arthur Kaladjian, Marc Adida, Raoul Belzeaux, Eric Fakra, Elie Hantouche, Sylvie Lancrenon, Jean-Louis Golmard.   

Abstract

BACKGROUND: Many studies have used admixture analysis to separate age-at-onset (AAO) subgroups in bipolar patients, but few have looked at the phenomenological characteristics of these subgroups, in order to find out phenotypic markers.
METHODS: Admixture analysis was applied to identify the model best fitting the observed AAO distribution of a sample of 1082 consecutive DSM-IV bipolar I manic inpatients who were assessed for demographic, clinical, course of illness, comorbidity, and temperamental characteristics.
RESULTS: The model best fitting the observed distribution of AAO was a mixture of three Gaussian distributions. We could identify three AAO subgroups: early, intermediate, and late age-at-onset (EAO, IAO, and LAO, respectively). Patients in the EAO subgroup were more often single young males exhibiting severe mania with psychotic features, a subcontinuous course of illness with substance use and panic comorbidity, more suicide attempts, and temperamental components sharing hypomanic features. Patients with LAO showed a less severe picture with more depressive temperamental components, alcohol use and comorbid general medical conditions. A less typical phenotype was present in IAO patients. LIMITATIONS: The following are the limitations of this study: retrospective design, and bias toward preferential enrollment of patients with manic predominant polarity.
CONCLUSIONS: This study confirms that bipolar I disorder can be subdivided into three subgroups based on AAO distribution and shows that patients from these subgroups differ in phenotypes.
© 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Admixture analysis; Affective disorder; Age-at-onset; Bipolar disorder

Mesh:

Year:  2013        PMID: 23769605     DOI: 10.1016/j.jad.2013.05.026

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


  11 in total

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2.  Age-at-onset subsets of bipolar I disorders: A critical insight into admixture analyses.

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4.  International Society for Bipolar Disorders Task Force on Suicide: meta-analyses and meta-regression of correlates of suicide attempts and suicide deaths in bipolar disorder.

Authors:  Ayal Schaffer; Erkki T Isometsä; Leonardo Tondo; Doris H Moreno; Gustavo Turecki; Catherine Reis; Frederick Cassidy; Mark Sinyor; Jean-Michel Azorin; Lars Vedel Kessing; Kyooseob Ha; Tina Goldstein; Abraham Weizman; Annette Beautrais; Yuan-Hwa Chou; Nancy Diazgranados; Anthony J Levitt; Carlos A Zarate; Zoltán Rihmer; Lakshmi N Yatham
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8.  Risk factors for an anxiety disorder comorbidity among Thai patients with bipolar disorder: results from the Thai Bipolar Disorder Registry.

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10.  Psychosocial markers of age at onset in bipolar disorder: a machine learning approach.

Authors:  Sorcha Bolton; Dan W Joyce; Katherine Gordon-Smith; Lisa Jones; Ian Jones; John Geddes; Kate E A Saunders
Journal:  BJPsych Open       Date:  2022-07-18
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