Lena K L Oestreich, Jessica W Lo, Maria A Di Biase, Perminder S Sachdev, Alice H Mok, Paul Wright, John D Crawford, Ben Lam, Latchezar Traykov, Sebastian Köhler, Julie E A Staals, Robert van Oostenbrugge, Christopher Chen, David W Desmond, Kyung-Ho Yu, Minwoo Lee, Aleksandra Klimkowicz-Mrowiec, Régis Bordet, Michael J O'Sullivan, Andrew Zalesky
{"title":"中风的神经精神、认知和功能并发症的网络分析:对新型治疗目标的影响。","authors":"Lena K L Oestreich, Jessica W Lo, Maria A Di Biase, Perminder S Sachdev, Alice H Mok, Paul Wright, John D Crawford, Ben Lam, Latchezar Traykov, Sebastian Köhler, Julie E A Staals, Robert van Oostenbrugge, Christopher Chen, David W Desmond, Kyung-Ho Yu, Minwoo Lee, Aleksandra Klimkowicz-Mrowiec, Régis Bordet, Michael J O'Sullivan, Andrew Zalesky","doi":"10.1111/pcn.13633","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":20938,"journal":{"name":"Psychiatry and Clinical Neurosciences","volume":" ","pages":"229-236"},"PeriodicalIF":5.0000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Network analysis of neuropsychiatric, cognitive, and functional complications of stroke: implications for novel treatment targets.\",\"authors\":\"Lena K L Oestreich, Jessica W Lo, Maria A Di Biase, Perminder S Sachdev, Alice H Mok, Paul Wright, John D Crawford, Ben Lam, Latchezar Traykov, Sebastian Köhler, Julie E A Staals, Robert van Oostenbrugge, Christopher Chen, David W Desmond, Kyung-Ho Yu, Minwoo Lee, Aleksandra Klimkowicz-Mrowiec, Régis Bordet, Michael J O'Sullivan, Andrew Zalesky\",\"doi\":\"10.1111/pcn.13633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aim: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":20938,\"journal\":{\"name\":\"Psychiatry and Clinical Neurosciences\",\"volume\":\" \",\"pages\":\"229-236\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Psychiatry and Clinical Neurosciences\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/pcn.13633\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/29 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychiatry and Clinical Neurosciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/pcn.13633","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/29 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Network analysis of neuropsychiatric, cognitive, and functional complications of stroke: implications for novel treatment targets.
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.
期刊介绍:
PCN (Psychiatry and Clinical Neurosciences)
Publication Frequency:
Published 12 online issues a year by JSPN
Content Categories:
Review Articles
Regular Articles
Letters to the Editor
Peer Review Process:
All manuscripts undergo peer review by anonymous reviewers, an Editorial Board Member, and the Editor
Publication Criteria:
Manuscripts are accepted based on quality, originality, and significance to the readership
Authors must confirm that the manuscript has not been published or submitted elsewhere and has been approved by each author