School of Psychology, The University of Queensland, Brisbane, Queensland, Australia.
Centre for Advanced Imaging and Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland, Australia.
Psychiatry Clin Neurosci. 2024 Apr;78(4):229-236. doi: 10.1111/pcn.13633. Epub 2024 Jan 29.
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.
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.
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).
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.
中风后的恢复受到神经精神并发症、认知障碍和功能障碍的不利影响。为了提供有效的干预措施,需要更好地了解它们之间的相互关系。网络理论使我们能够将症状和损伤概念化为动态的、相互作用的系统。我们旨在使用网络分析在不同的中风样本中识别中风后并发症的相互作用。
数据来源于 STROKOG(中风和认知联盟)的成员研究,这是一个国际中风研究合作组织。为每个队列生成网络,其中节点代表神经精神症状、认知缺陷和日常生活活动中的残疾。边缘描述了它们之间的关联。使用中心度测量来识别枢纽项目。
在各队列中,出现了一个相互关联的中风后并发症的单一网络。网络表现出不同的抑郁、冷漠、疲劳、认知障碍和功能障碍模块。无论使用何种抑郁量表,担忧都是各队列中最主要的症状。与日常生活活动相关的项目也是高度中心节点。两项研究的后续分析表明,与不担忧的个体相比,担忧的个体的网络连接更为紧密(CASPER [中风后认知和情感:风险的前瞻性评估]研究:S=9.72,P=0.038;SSS [悉尼中风研究]:S=13.56,P=0.069)。
中风后的神经精神症状与认知缺陷和功能障碍高度相互关联。鉴于它们的中心位置和高度连接性,担忧和日常生活活动有可能导致中风后并发症的多种疾病和各领域之间的相互加强。在中风后早期针对这些因素进行治疗可能会带来益处,从而改善中风的预后。