Cognitive impairment in euthymic patients with bipolar disorder: Prevalence estimation and model selection for predictors of cognitive performance.


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
01 11 2021
Historique:
received: 01 02 2021
revised: 24 03 2021
accepted: 10 07 2021
pubmed: 31 7 2021
medline: 30 10 2021
entrez: 30 7 2021
Statut: ppublish

Résumé

Objectives Although cognitive dysfunction is a prominent feature of bipolar disorder (BD), previous research presents limitations in estimating the proportion of euthymic patients experiencing clinically relevant deficits and identifying predictors of cognitive difficulties. We explored the relevance of recommended definitions of clinically significant cognitive impairment for functional outcomes, estimated its prevalence, and identified patient characteristics associated with cognition. Methods We assessed cognitive performance across four domains in 80 euthymic participants with BD. Participants were categorized based on two criteria for clinically significant cognitive impairment and we assessed the ability of these criteria to differentiate participant performance on established functional outcomes. Variable selection with elastic net regression was used to identify sociodemographic and clinical factors associated with cognitive performance. Selected variables were examined as predictors of clinically significant cognitive impairment with logistic regression. Results According to the selected criterion, 34% presented with clinically significant cognitive impairment. Poorer current cognitive performance was associated with older age, lower estimated premorbid IQ, more currently prescribed psychotropic medications, fewer previous psychological therapies, and current use of antipsychotics. A model with premorbid IQ, psychotropic medications and previous psychological therapies as predictors of cognitive impairment correctly classified 75% of the participants. Conclusions This is one of the first studies to use a model selection approach to identify factors associated with cognitive difficulties in BD. Our findings offer the initial steps towards a predictive model for cognitive impairment. This could improve treatment decisions and prioritization for euthymic patients with BD, particularly the implementation of cognitive interventions.

Identifiants

pubmed: 34330045
pii: S0165-0327(21)00715-1
doi: 10.1016/j.jad.2021.07.036
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

497-504

Subventions

Organisme : Department of Health
Pays : United Kingdom

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Dimosthenis Tsapekos (D)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. Electronic address: dimosthenis.tsapekos@kcl.ac.uk.

Rebecca Strawbridge (R)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Matteo Cella (M)

Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; South London & Maudsley NHS Foundation Trust, Maudsley Hospital, London, UK.

Til Wykes (T)

Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; South London & Maudsley NHS Foundation Trust, Maudsley Hospital, London, UK.

Allan H Young (AH)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; South London & Maudsley NHS Foundation Trust, Maudsley Hospital, London, UK.

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Classifications MeSH