Titre :

Network analysis of neuropsychiatric, cognitive, and functional complications of stroke: implications for novel treatment targets.

Auteur(s) :

Oestreich, L. K. [Auteur]
Queensland University of Technology [Brisbane] [QUT]
Lo, J. W. [Auteur]
Di Biase, M. A. [Auteur]
Sachdev, P. S. [Auteur]
Mok, A. H. [Auteur]
Wright, P. [Auteur]
Crawford, J. D. [Auteur]
Lam, B. [Auteur]
Traykov, L. [Auteur]
Köhler, S. [Auteur]
Staals, J. E. [Auteur]
Van Oostenbrugge, R. [Auteur]
Chen, C. [Auteur]
Desmond, D. W. [Auteur]
Yu, K. H. [Auteur]
Lee, M. [Auteur]
Klimkowicz-Mrowiec, A. [Auteur]
Bordet, Regis [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
O'sullivan, M. J. [Auteur]
Zalesky, A. [Auteur]

Titre de la revue :

Psychiatry and Clinical Neurosciences

Nom court de la revue :

Psychiatry Clin Neurosci

Numéro :

78

Pagination :

229-236

Éditeur :

Wiley Online Library

Date de publication :

2023-12-20

ISSN :

1440-1819

Mot(s)-clé(s) en anglais :

affective disorders
depression
multimorbidity
stroke
worry

Discipline(s) HAL :

Sciences du Vivant [q-bio]

Résumé en anglais : [en]

Aim Recovery from stroke is adversely affected by neuropsychiatric complications, cognitive impairment, and functional disability. Better knowledge of their mutual relationships is required to inform effective interventions. ...
Lire la suite >Aim Recovery from stroke is adversely affected by neuropsychiatric complications, cognitive impairment, and functional disability. Better knowledge of their mutual relationships is required to inform effective interventions. Network theory enables the conceptualization of symptoms and impairments as dynamic and mutually interacting systems. We aimed to identify interactions of poststroke complications using network analysis in diverse stroke samples. Methods Data from 2185 patients were sourced from member studies of STROKOG (Stroke and Cognition Consortium), an international collaboration of stroke studies. Networks were generated for each cohort, whereby nodes represented neuropsychiatric symptoms, cognitive deficits, and disabilities on activities of daily living. Edges characterized associations between them. Centrality measures were used to identify hub items. Results Across cohorts, a single network of interrelated poststroke complications emerged. Networks exhibited dissociable depression, apathy, fatigue, cognitive impairment, and functional disability modules. Worry was the most central symptom across cohorts, irrespective of the depression scale used. Items relating to activities of daily living were also highly central nodes. Follow-up analysis in two studies revealed that individuals who worried had more densely connected networks than those free of worry (CASPER [Cognition and Affect after Stroke: Prospective Evaluation of Risks] study: S = 9.72, P = 0.038; SSS [Sydney Stroke Study]: S = 13.56, P = 0.069). Conclusion Neuropsychiatric symptoms are highly interconnected with cognitive deficits and functional disabilities resulting from stroke. Given their central position and high level of connectedness, worry and activities of daily living have the potential to drive multimorbidity and mutual reinforcement between domains of poststroke complications. Targeting these factors early after stroke may have benefits that extend to other complications, leading to better stroke outcomes.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
Inserm
CHU Lille

Collections :

• Lille Neurosciences & Cognition (LilNCog) - U 1172

Date de dépôt :

2024-05-06T22:48:32Z
2024-11-13T10:38:55Z