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作 者:陈静远 韦宜辰 唐静 杨雪 代雨岑 张韬[1] 周丽君[3] 刘元元[1] CHEN Jing-yuan;WEI Yi-chen;TANG Jing;YANG Xue;DAI Yu-cen;ZHANG Tao;ZHOU Li-jun;LIU Yuan-yuan(West China School of Public Health and West China Fourth Hospital,Sichuan University,Chengdu,Sichuan 610041,China;不详)
机构地区:[1]四川大学华西公共卫生学院/四川大学华西第四医院,四川成都610041 [2]四川大学华西药学院 [3]四川省疾病预防控制中心
出 处:《现代预防医学》2021年第18期3400-3405,共6页Modern Preventive Medicine
基 金:国家自然科学基金项目(82041033);四川省科学技术厅重点研发项目(2020YFS0015);成都市科技局新冠防控专项(2020-YF05-00296-SN)。
摘 要:目的通过meta分析探讨感染新型冠状病毒的影响因素。方法检索CNKI、Medline、PubMed等9个中英文数据库。独立筛选符合排纳标准的文献进行质量评价与资料提取,采用Rev Man 5.4进行meta分析。结果各影响因素的OR/MD值及95%CI分别为:人口基本特征中,年龄4.39(1.70~7.09)、职业(医务)1.29(1.00~1.65)、种族(黑种人)2.42(1.56~3.75)、BMI1.16(1.11~1.22);基础疾病史中,心血管疾病1.78(1.30~2.44)、糖尿病1.62(1.37~1.91)、肾脏疾病2.53(1.76~3.63)、肥胖1.45(1.12~1.87)、免疫系统疾病0.58(0.40~0.83)、痴呆4.38(2.43~7.88)、脑血管疾病1.34(1.13~1.59);使用ACE抑制剂1.12(1.06~1.18)、胰岛素1.61(1.06~2.45)。结论感染新型冠状病毒的危险因素多样,且根据亚组分析结果推测可能受经济水平影响,提示不同经济水平区域应针对性保护易感人群,优化卫生资源配置。Objective To evaluate the risk factors for SARS-CoV-2 infection by meta-analysis.Methods Relevant studies were retrieved from 9 databases including CNKI,Medline,PubMed.Literature screening was conducted independently according to the inclusion and exclusion criteria,followed by quality evaluation,data extraction and meta-analysis using software RevMan 5.4.Results The pooled OR/MD and its 95%CI of each risk factor were as follows:age:4.39(1.70-7.09),occupation(medical staff):1.29(1.00-1.65),race(black):2.42(1.56~3.75),BMI:1.80(0.47-3.13),cardiovascular disease:1.78(1.30-2.44),diabetes:1.62(1.37-1.91),renal disease:2.53(1.76-3.63),obesity:1.45(1.12-1.87),dementia:4.38(2.43-7.88),respiratory disease:1.78(1.45-2.18),cerebrovascular disease:1.34(1.13-1.59),use of ACE inhibitor:1.12(1.06-1.18),and use of insulin:1.61(1.06-2.45).Conclusion Risk of infecting SARS-CoV-2 can be influenced by multiple factors,and based on the results of subgroup analysis,it is speculated that they may be influenced by economic level,suggesting that regions with different economic levels should be targeted to protect susceptible populations and optimize health resource allocation.
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