Potential risk factors for case fatality rate of novel coronavirus (COVID-19) in China: A pooled analysis of individual patient data

中国新型冠状病毒(COVID-19)病死率的潜在风险因素:基于个体患者数据的汇总分析

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Abstract

BACKGROUND AND OBJECTIVE: Since the first case of the pneumonia caused by 2019 novel coronavirus (COVID-19) is found in Wuhan, there have been more than 70,000 cases reported in China. This study aims to perform the meta-analysis of risk factors for the case fatality rate (CFR) of the 2019 novel coronavirus (COVID-19). DESIGN AND METHODS: We have searched PubMed, Google scholar and medRxiv for the cohort studies involving risk factors for the CFR of COVID-19. This meta-analysis compares the risk factors of CFR between fatal patients and non-fatal patients. RESULTS: Two cohort studies are included in this study. After comparing the patients between fatal cases and non-fatal cases, several important factors are found to significantly increase the CFR in patients with COVID-19, and include the age ranging 60-70 (OR = 1.85; 95% CI = 1.62 to 2.11; P < .00001) and especially≥70 (OR = 8.45; 95% CI = 7.47 to 9.55; P < .00001), sex of male (OR = 1.88; 95% CI = 1.30 to 2.73; P = .0008), occupation of retirees (OR = 4.27; 95% CI = 2.50 to 7.28; P < .00001), and severe cases (OR = 691.76; 95% CI = 4.82 to 99,265.63; P = .01). As the advancement of early diagnosis and treatment, the CFR after January 21 (or 22), 2020 is substantially decreased in COVID-19 than before (OR = 0.21; 95% CI = 0.19 to 0.24; P < .00001). CONCLUSIONS: Several factors are confirmed to significantly improve the CFR in patients with COVID-19, which is very important for the treatment and good prognosis of these patients.

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