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Network analysis of neuropsychiatric, cognitive, and functional complications of stroke: implications for novel treatment targets.
Oestreich, Lena K L; Lo, Jessica W; Di Biase, Maria A; Sachdev, Perminder S; Mok, Alice H; Wright, Paul; Crawford, John D; Lam, Ben; Traykov, Latchezar; Köhler, Sebastian; Staals, Julie E A; van Oostenbrugge, Robert; Chen, Christopher; Desmond, David W; Yu, Kyung-Ho; Lee, Minwoo; Klimkowicz-Mrowiec, Aleksandra; Bordet, Régis; O'Sullivan, Michael J; Zalesky, Andrew.
Afiliação
  • Oestreich LKL; School of Psychology, The University of Queensland, Brisbane, Queensland, Australia.
  • Lo JW; Centre for Advanced Imaging and Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland, Australia.
  • Di Biase MA; (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia.
  • Sachdev PS; Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton, Victoria, Australia.
  • Mok AH; Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Wright P; (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia.
  • Crawford JD; Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, New South Wales, Australia.
  • Lam B; School of Psychology, The University of Queensland, Brisbane, Queensland, Australia.
  • Traykov L; Biomedical Engineering Department, King's College London, London, UK.
  • Köhler S; (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia.
  • Staals JEA; (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia.
  • van Oostenbrugge R; Department of Neurology, UH Alexandrovska, Medical University-Sofia, Sofia, Bulgaria.
  • Chen C; School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands.
  • Desmond DW; Department of Neurology, School for Cardiovascular diseases (CARIM), Maastricht University Medical Center (MUMC+), The Netherlands.
  • Yu KH; Department of Neurology, School for Cardiovascular diseases (CARIM), Maastricht University Medical Center (MUMC+), The Netherlands.
  • Lee M; Memory Ageing and Cognition Centre, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Klimkowicz-Mrowiec A; Independent Researcher, Florida, USA.
  • Bordet R; Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea.
  • O'Sullivan MJ; Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea.
  • Zalesky A; Department of Internal Medicine and Gerontology, Jagiellonian University Medical College, Krakow, Poland.
Psychiatry Clin Neurosci ; 78(4): 229-236, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38113307
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtornos Cognitivos / Acidente Vascular Cerebral / Disfunção Cognitiva Limite: Humans Idioma: En Revista: Psychiatry Clin Neurosci Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtornos Cognitivos / Acidente Vascular Cerebral / Disfunção Cognitiva Limite: Humans Idioma: En Revista: Psychiatry Clin Neurosci Ano de publicação: 2024 Tipo de documento: Article