作者：王红彦，李军文，胡才玉，唐于力

单位：

1.成都中医药大学护理学院2.四川省成都市第一人民医院护理部3.成都医学院

单位（英文）：

1.School of Nursing of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China 2.Nursing Department, Chengdu First People's Hospital, Chengdu 610041, China 3.Chengdu Medical College, Chengdu 610083, China

关键词：

卒中; 卒中后疲劳; 危险因素; Meta分析;

关键词（英文）：

Stroke; Post-stroke fatigue; Risk factors; Meta-analysis

中图分类号：

DOI：

10.12114/j.issn.1008-5971.2023.00.129

基金项目：

四川省2022年重点研发计划项目（2022JDKP0019）

摘要：

目的 系统评价中国脑卒中患者发生卒中后疲劳（PSF）的危险因素。方法 计算机检索中国知网、维普网、万方数据知识服务平台、中国生物医学文献数据库、Cochrane Library、PubMed、Web of Science公开发表的中国脑卒中患者发生PSF危险因素的研究，对照组为未发生PSF的中国脑卒中患者，病例组为发生PSF的中国脑卒中患者。检索时限为建库至2022年12月。提取纳入文献的资料，横断面研究文献质量采用美国卫生保健质量和研究机构评价标准进行评价，病例对照研究和队列研究文献质量采用纽卡斯尔-渥太华量表（NOS）进行评价。采用RevMan 5.3和Stata 17.0软件进行Meta分析。结果 本研究纳入20篇文献，共4 606例患者，其中病例组2 071例、对照组2 535例。Meta分析结果显示，女性[OR=1.56,95%CI(1.29,1.89)]、抑郁[OR=1.89,95%CI(1.01,3.25)]、卒中后疼痛[OR=1.99,95%CI(1.10,3.62)]、睡眠障碍[OR=2.49,95%CI(1.18,5.26)]、冠心病[OR=1.58,95%CI(1.41,1.77)]、糖尿病[OR=1.43,95%CI(1.15,1.78)]及卒中史[OR=1.10,95%CI(1.07,1.13)]是中国脑卒中患者发生PSF的危险因素（P<0.05）。结论 现有证据显示，女性、抑郁、卒中后疼痛、睡眠障碍、冠心病、糖尿病、卒中史是中国脑卒中患者发生PSF的危险因素。医护人员应对具有以上危险因素的脑卒中患者进行早期预防及治疗干预，以降低PSF发生率，改善其预后。

英文摘要：

Objective To systematically evaluate the risk factors of post-stroke fatigue (PSF) in patients with stroke in China. Methods Databases including CNKI, VIP, Wanfang Data, CBM, Cochrane Library, PubMed, Web of Science were retrieved to search for studies on the risk factors of PSF in patients with stroke in China from inception to December in 2022. The control group was stroke patients in China without PSF, and the case group was stroke patients in China with PSF. The data of the included literature were extracted, the standard recommended by United States Agency for Healthcare Quality and Research was used to evaluate the quality of the cross-sectional study, the Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of the case control study and cohort study. RevMan 5.3 and Stata 17.0 was used for meta-analysis. Results A total of 20 articles were included, and involving 4 606 patients, including 2 071 cases in case group and 2 535 cases in control group. Meta-analysis results showed that female [OR=1.56, 95%CI (1.29, 1.89) ] , depression [OR=1.89, 95%CI (1.01, 3.25) ] , post-stroke pain [OR=1.99, 95%CI (1.10, 3.62) ] , dyssomnia [OR=2.49, 95%CI (1.18, 5.26) ] , coronary heart disease [OR=1.58, 95%CI (1.41, 1.77) ] , diabetes mellitus [OR=1.43, 95%CI (1.15, 1.78) ] , stroke history [OR=1.10, 95%CI (1.07, 1.13) ] were risk factors of PSF in patients with stroke in China (P < 0.05) . Conclusion The available evidence shows that female, depression, post-stroke pain, dyssomnia, diabetes mellitus, coronary heart disease, and stroke history are the risk factors of PSF in patients with stroke in China. Medical staff should provide early prevention and treatment interventions for stroke patients with the above risk factors to reduce the incidence of PSF and improve their prognosis.

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