Risk factors for predicting mortality of COVID-19 patients: A systematic review and meta-analysis

Lan Yang, Jing Jin, Wenxin Luo, Yuncui Gan, Bojiang Chen and Weimin Li

PLOS ONE, 2020, vol. 15, issue 11, 1-11

Abstract: Background: Early and accurate prognosis prediction of the patients was urgently warranted due to the widespread popularity of COVID-19. We performed a meta-analysis aimed at comprehensively summarizing the clinical characteristics and laboratory abnormalities correlated with increased risk of mortality in COVID-19 patients. Methods: PubMed, Scopus, Web of Science, and Embase were systematically searched for studies considering the relationship between COVID-19 and mortality up to 4 June 2020. Data were extracted including clinical characteristics and laboratory examination. Results: Thirty-one studies involving 9407 COVID-19 patients were included. Dyspnea (OR = 4.52, 95%CI [3.15, 6.48], P

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0243124

DOI: 10.1371/journal.pone.0243124

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