Literature DB >> 30590288

Identifying cognitive subgroups in bipolar disorder: A cluster analysis.

Flávia Lima1, Francisco Diego Rabelo-da-Ponte1, Joana Bücker2, Letícia Czepielewski2, Mathias Hasse-Sousa2, Raissa Telesca2, Brisa Solé3, Maria Reinares3, Eduard Vieta3, Adriane R Rosa4.   

Abstract

BACKGROUND: Evidence has shown heterogeneity of cognitive function among patients with bipolar disorder (BD). Our study aims to replicate recent findings of cognitive subgroups, as well as we assessed subjective cognitive difficulties and functioning in each cluster.
METHODS: Hierarchical cluster analysis was conducted to examine whether there were distinct neurocognitive subgroups based on neurocognitive battery. Cognitive Complaints in Bipolar Disorder Rating Assessment (COBRA) and Functioning Assessment Short Test (FAST) were used to assess subjective cognitive difficulties and functional impairment.
RESULTS: We found three distinct subgroups: a first cluster with intact cognition (n = 30, 43.5%), a second cluster with selective cognitive impairment (n = 23, 33.3%), and a third cluster with globally cognitive impairment (n = 16, 23.3%). The intact group had more years of education (p < .001) and higher estimated IQ (p < .001) than globally and selectively impaired subgroups. Additionally, they were younger (p = .011), had an earlier age at bipolar diagnosis (p < .037) and earlier age of first hospitalization (p < .035) compared to individuals with globally cognitive impairment. LIMITATIONS: This is a cross-sectional design with a small sample including only patients from a tertiary hospital.
CONCLUSION: Our results give support to the existence of a continuum of severity from patients without impairment to those with poor cognitive functioning. Patients in the intact group seem to have higher cognitive reserve than other two groups. However, they also experienced cognitive complaints and some degree of functional impairment. These findings suggest the importance of using a combo of instruments (e.g., objective and subjective cognitive measures plus functioning instruments) for a complete assessment of patients with BD.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bipolar disorder; Cluster analysis; Cognitive heterogeneity; Functional outcome; Neurocognition; Subjective cognitive measure

Mesh:

Year:  2018        PMID: 30590288     DOI: 10.1016/j.jad.2018.12.044

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


  7 in total

1.  Person-based similarity in brain structure and functional connectivity in bipolar disorder.

Authors:  Gaelle E Doucet; David C Glahn; Sophia Frangou
Journal:  J Affect Disord       Date:  2020-07-13       Impact factor: 4.839

2.  Personalized estimates of morphometric similarity in bipolar disorder and schizophrenia.

Authors:  Gaelle E Doucet; Dongdong Lin; Yuhui Du; Zening Fu; David C Glahn; Vincent D Calhoun; Jessica Turner; Sophia Frangou
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3.  Cognitive subgroups and their longitudinal trajectories in bipolar disorder.

Authors:  Tobin J Ehrlich; Kelly A Ryan; Katherine E Burdick; Scott A Langenecker; Melvin G McInnis; David F Marshall
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Authors:  Peter Gallagher
Journal:  Curr Top Behav Neurosci       Date:  2021

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Authors:  Victoria Sanborn; John Gunstad; Roman Shrestha; Colleen B Mistler; Michael M Copenhaver
Journal:  Appl Neuropsychol Adult       Date:  2020-05-28       Impact factor: 2.050

6.  A Comprehensive Cohort Description and Statistical Grouping of Community-Based Residential Rehabilitation Service Users in Australia.

Authors:  Stephen Parker; Dan Siskind; Daniel F Hermens; Frances Dark; Gemma McKeon; Nicole Korman; Urska Arnautovska; Meredith Harris; Harvey Whiteford
Journal:  Front Psychiatry       Date:  2019-11-08       Impact factor: 4.157

7.  Dealing with heterogeneity of cognitive dysfunction in acute depression: a clustering approach.

Authors:  Muriel Vicent-Gil; Maria J Portella; Maria Serra-Blasco; Guillem Navarra-Ventura; Sara Crivillés; Eva Aguilar; Diego Palao; Narcís Cardoner
Journal:  Psychol Med       Date:  2020-06-01       Impact factor: 7.723

  7 in total

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