Abstract
李志强,王盛书,贡鑫然,王彦丁,吴迪,杨美涛,郭金鹏,贾瑞忠,刘淼,何耀,王勇.我国老年人轻度认知障碍与全因死亡关联的Meta分析[J].Chinese journal of Epidemiology,2022,43(9):1479-1484
我国老年人轻度认知障碍与全因死亡关联的Meta分析
Association between mild cognitive impairment and all-cause mortality in elderly population in China: a Meta analysis
Received:February 07, 2022  
DOI:10.3760/cma.j.cn112338-20220207-00096
KeyWord: 轻度认知障碍  老年人  全因死亡  Meta分析
English Key Word: Mild cognitive impairment  Elderly  All-cause Mortality  Meta analysis
FundProject:国家自然科学基金(82173590,82173589)
Author NameAffiliationE-mail
Li Zhiqiang School of Public Health, China Medical University, Shenyang 110122, China
Center for Disease Control and Prevention of Chinese People's Liberation Army, Beijing 100071, China 
 
Wang Shengshu Institute of Geriatrics, Second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Disease, Chinese People's Liberation Army General Hospital &
Chinese People's Liberation Army Medical Academy, Beijing 100853, China 
 
Gong Xinran School of Public Health, China Medical University, Shenyang 110122, China
Center for Disease Control and Prevention of Chinese People's Liberation Army, Beijing 100071, China 
 
Wang Yanding School of Public Health, China Medical University, Shenyang 110122, China
Center for Disease Control and Prevention of Chinese People's Liberation Army, Beijing 100071, China 
 
Wu Di School of Public Health, China Medical University, Shenyang 110122, China
Center for Disease Control and Prevention of Chinese People's Liberation Army, Beijing 100071, China 
 
Yang Meitao School of Public Health, China Medical University, Shenyang 110122, China
Center for Disease Control and Prevention of Chinese People's Liberation Army, Beijing 100071, China 
 
Guo Jinpeng Center for Disease Control and Prevention of Chinese People's Liberation Army, Beijing 100071, China  
Jia Ruizhong Center for Disease Control and Prevention of Chinese People's Liberation Army, Beijing 100071, China  
Liu Miao Graduate School, Chinese People's Liberation Army General Hospital, Beijing 100853, China  
He Yao Institute of Geriatrics, Second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Disease, Chinese People's Liberation Army General Hospital &
Chinese People's Liberation Army Medical Academy, Beijing 100853, China 
 
Wang Yong School of Public Health, China Medical University, Shenyang 110122, China
Center for Disease Control and Prevention of Chinese People's Liberation Army, Beijing 100071, China 
ywang7508@sina.com 
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Abstract:
      目的 对老年人轻度认知障碍与全因死亡的关联进行定量评估。方法 检索PubMed、EMBASE、万方数据知识服务平台、中国知网数据库中关于老年人轻度认知障碍与全因死亡关系的相关文献,时限自建库至2021年8月1日,采用R 4.02软件对纳入文献进行Meta分析。结果 最终纳入9篇队列研究文献,共计48 709例患者。纳入文献均为高质量水平。Meta分析结果显示,轻度认知障碍与全因死亡风险增加之间的关联有统计学意义,与认知正常人群相比,患有轻度认知障碍的老年人死亡风险增加39%(HR=1.39,95%CI:1.18~1.63)。结论 当前研究证据表明,轻度认知障碍是中国老年人全因死亡风险增加的独立预测指标,应加强老年人轻度认知功能障碍的早发现、早诊断和早治疗。
English Abstract:
      Objective To quantitatively evaluate the association between mild cognitive impairment and all-cause mortality.Methods The research papers of the association between cognitive impairment and all-cause mortality in the elderly in the databases of PubMed,EMBASE,Wang Fang data and CNKI published as of August 1,2021 were comprehensively retrieved.Software R 4.02 was used for Meta-analysis.Results A total of 9 research papers were included,involving 48 709 patients.The quality of included papers was high.The results of Meta-analysis showed that the association between mild cognitive impairment and the increased risk of all-cause mortality was statistically significant.Compared with the normal cognitive population,the risk of mortality in the elderly with mild cognitive impairment increased by 39%(HR=1.39,95%CI:1.18-1.63).Conclusions The current research evidence showed that mild cognitive impairment assessed by MMSE screening scale can be used as an independent predictor of the increased risk of all-cause mortality in the elderly population in China.However,due to the limitation of the number of included studies and sample size,the conclusions need to be supported by more evidence studies.
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