Clinical characteristics of coronavirus disease 2019 (COVID-19) in China: A systematic review and meta-analysis

被引:619
|
作者
Fu, Leiwen [1 ]
Wang, Bingyi [1 ,2 ,3 ]
Yuan, Tanwei [1 ]
Chen, Xiaoting [6 ]
Ao, Yunlong [6 ]
Fitzpatrick, Thomas [4 ]
Li, Peiyang [1 ]
Zhou, Yiguo [1 ]
Lin, Yi-fan [1 ,7 ]
Duan, Qibin [8 ,9 ]
Luo, Ganfeng [1 ]
Fan, Song [5 ]
Lu, Yong [5 ]
Feng, Anping [1 ]
Zhan, Yuewei [1 ]
Liang, Bowen [1 ]
Cai, Weiping [6 ]
Zhang, Lin [12 ,13 ,14 ]
Du, Xiangjun [1 ]
Li, Linghua [6 ]
Shu, Yuelong [1 ]
Zou, Huachun [1 ,9 ,10 ,11 ]
机构
[1] Sun Yat Sen Univ, Sch Publ Hlth Shenzhen, Shenzhen 510080, Peoples R China
[2] Tianjin Univ Sci & Technol, State Key Lab Food Nutr & Safety, Tianjin, Peoples R China
[3] Tianjin Univ Sci & Technol, Coll Food Sci & Engn, Tianjin, Peoples R China
[4] Univ Washington, Dept Internal Med, Seattle, WA 98195 USA
[5] Sun Yat Sen Univ, Sch Publ Hlth, Guangzhou, Peoples R China
[6] Guangzhou Med Univ, Guangzhou Peoples Hosp 8, Guangzhou, Peoples R China
[7] Univ Newcastle, Sch Math & Phys Sci Stat, Callaghan, NSW, Australia
[8] Queensland Univ Technol, Sch Math Sci, Brisbane, Qld, Australia
[9] Univ New South Wales, Kirby Inst, Sydney, NSW, Australia
[10] Shenzhen Ctr Dis Control & Prevent, Shenzhen, Peoples R China
[11] Shanghai Jiao Tong Univ, Sch Publ Hlth, Shanghai, Peoples R China
[12] Chinese Univ Hong Kong, Dept Anesthesia & Intens Care, Hong Kong, Peoples R China
[13] Chinese Univ Hong Kong, Peter Hung Pain Res Inst, Hong Kong, Peoples R China
[14] Chinese Univ Hong Kong, Dept Med & Therapeut, Hong Kong, Peoples R China
基金
澳大利亚研究理事会; 澳大利亚国家健康与医学研究理事会;
关键词
COVID-19; Clinical characteristics; Meta-analysis; Systematic review; PNEUMONIA;
D O I
10.1016/j.jinf.2020.03.041
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Objective: To better inform efforts to treat and control the current outbreak with a comprehensive characterization of COVID-19. Methods: We searched PubMed, EMBASE, Web of Science, and CNKI (Chinese Database) for studies published as of March 2, 2020, and we searched references of identified articles. Studies were reviewed for methodological quality. A random-effects model was used to pool results. Heterogeneity was assessed using I-2. Publication bias was assessed using Egger's test. Results: 43 studies involving 3600 patients were included. Among COVID-19 patients, fever (83.3% [95% CI 78.4-87.7]), cough (60.3% [54.2-66.3]), and fatigue (38.0% [29.8-46.5]) were the most common clinical symptoms. The most common laboratory abnormalities were elevated C-reactive protein (68.6% [58.2-78.2]), decreased lymphocyte count (57.4% [44.8-69.5]) and increased lactate dehydrogenase (51.6% [31.4-71.6]). Ground-glass opacities (80.0% [67.3-90.4]) and bilateral pneumonia (73.2% [63.4-82.1]) were the most frequently reported findings on computed tomography. The overall estimated proportion of severe cases and case-fatality rate (CFR) was 25.6% (17.4-34.9) and 3.6% (1.1-7.2), respectively. CFR and laboratory abnormalities were higher in severe cases, patients from Wuhan, and older patients, but CFR did not differ by gender. Conclusions: The majority of COVID-19 cases are symptomatic with a moderate CFR. Patients living in Wuhan, older patients, and those with medical comorbidities tend to have more severe clinical symptoms and higher CFR. (C) 2020 The British Infection Association. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:656 / 665
页数:10
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