Chinese Journal of Stroke ›› 2025, Vol. 20 ›› Issue (2): 208-217.DOI: 10.3969/j.issn.1673-5765.2025.02.011

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Factors Influencing Frailty in Chinese Stroke Patients: A Meta-Analysis

YU Shenyan1, MAO Xiaorong2, XU Yehua3, LI Youqing3, ZENG Xia3, LIANG Guangyao4   

  1. 1 School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China
    2 Department of Outer Comprehensive Area, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610031, China
    3 Department of First-Aid Center, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610031, China
    4 College of Basic Medicine, Hebei Medical University, Shijiazhuang 050017, China
  • Received:2024-08-23 Online:2025-02-20 Published:2025-02-20
  • Contact: ZENG Xia, E-mail: 295572538@qq.com

中国卒中患者衰弱相关因素meta分析

余深艳1,毛孝容2,许叶华3,李铀氢3,曾霞3,梁光耀4   

  1. 1 成都 610075成都中医药大学护理学院 
    2 四川省医学科学院,四川省人民医院(电子科技大学附属医院)外综片区
    3 四川省医学科学院,四川省人民医院(电子科技大学附属医院)急诊医学科
    4 河北医科大学基础医学院
  • 通讯作者: 曾霞 295572538@qq.com

Abstract: Objective  To systematically analyze the related factors of frailty in Chinese stroke patients, providing references for identifying the risk of frailty in stroke patients.
Methods  Computer searches were conducted on cohort studies, case-control studies, and cross-sectional studies related to frailty in Chinese stroke patients from CNKI, Wanfang, VIP, Chinese Biomedical Literature Service System, Web of Science, Pubmed, Cochrane Library, and Embase. The search period was from the establishment of these databases until June 30, 2024. Two researchers independently conducted literature screening, quality evaluation, and data extraction based on inclusion and exclusion criteria. Stata 15.0 statistical software was used to conduct a meta-analysis on the possible factors influencing frailty. 
Results  A total of 16 studies were finally included, with a total sample size of 3857 cases. Meta-analysis showed that the influencing factors of frailty in stroke patients include aging (OR 1.07, 95%CI 1.02-1.11, P=0.002), age>75 years (OR 2.89, 95%CI 1.76-4.74, P<0.001), admission NIHSS score>14 points (OR 4.61, 95%CI 2.04-10.42, P<0.001), malnutrition (OR 3.14, 95%CI 1.04-9.50, P=0.043), depression (OR 4.15, 95%CI 1.95-8.85, P<0.001), diabetes mellitus (OR 3.27, 95%CI 1.76-6.08, P<0.001), impaired activity of daily living (OR 2.37, 95%CI 1.22-4.61, P=0.011), and normal activity of daily living (OR 0.96, 95%CI 0.95-0.97, P<0.001). 
Conclusions  There are many factors related to the frailty of stroke patients in China. Among them, normal activity of daily living is a protective factor for frailty, while aging, high admission NIHSS score, malnutrition, depression, diabetes mellitus, and impaired activity of daily living are risk factors for frailty.

Key words: Frailty; Stroke; China; Influencing factor; Meta-analysis

摘要: 目的 系统分析中国卒中患者衰弱的相关因素,为识别卒中患者的衰弱风险提供参考。
方法 计算机检索中国知网、万方、维普、中国生物医学文献服务系统、Web of Science、PubMed、Cochrane Library、Embase等数据库中有关中国卒中患者衰弱相关因素的队列研究、病例对照研究、横断面研究等观察性研究,检索时限为建库至2024年6月30日。由2名研究者按照纳入与排除标准独立进行文献筛选、质量评价和资料提取。采用Stata 15.0统计软件对衰弱的可能影响因素进行meta分析。
结果 最终纳入16篇研究,总样本量为3857例。meta分析显示,卒中患者衰弱的相关因素包括增龄(OR 1.07,95%CI 1.02~1.11,P=0.002)、年龄>75岁(OR 2.89,95%CI 1.76~4.74,P<0.001)、入院NIHSS评分>14分(OR 4.61,95%CI 2.04~10.42,P<0.001)、营养不良(OR 3.14,95%CI 1.04~9.50,P=0.043)、抑郁(OR 4.15,95%CI 1.95~8.85,P<0.001)、糖尿病(OR 3.27,95%CI 1.76~6.08,P<0.001)、日常生活能力受损(OR 2.37,95%CI 1.22~4.61,P=0.011)、日常生活能力正常(OR 0.96,95%CI 0.95~0.97,P<0.001)。
结论 中国卒中患者衰弱的相关因素较多,其中日常生活能力正常是衰弱的保护因素,而增龄、入院NIHSS评分高、营养不良、抑郁、糖尿病和日常生活能力受损是衰弱的危险因素。

关键词: 衰弱; 卒中; 中国; 影响因素; 系统分析

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