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Network analysis of neuropsychiatric, cognitive, and functional complications of stroke: implications for novel treatment targets.
Psychiatry and Clinical Neurosciences 2023 December 20
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 post-stroke complications using network analysis in diverse stroke samples.
METHODS: Data from 2185 patients were sourced from member studies of STROKOG, 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 post-stroke 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 study: S = 9.72, p = 0.038; 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 post-stroke complications. Targeting these factors early after stroke may have benefits that extend to other complications, leading to better stroke outcomes. This article is protected by copyright. All rights reserved.
METHODS: Data from 2185 patients were sourced from member studies of STROKOG, 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 post-stroke 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 study: S = 9.72, p = 0.038; 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 post-stroke complications. Targeting these factors early after stroke may have benefits that extend to other complications, leading to better stroke outcomes. This article is protected by copyright. All rights reserved.
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