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Clinical, Laboratory and Imaging Features of COVID-19: A Systematic Review and Meta-analysis

A peer-reviewed article of this preprint also exists.

Submitted:

29 February 2020

Posted:

02 March 2020

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Abstract
Introduction: An epidemic of Coronavirus Disease 2019 (COVID-19) begun in December 2019 in China, causing a Public Health Emergency of International Concern. Among raised questions, clinical, laboratory, and imaging features have been partially characterized in some observational studies. No systematic reviews have been published on this matter. Methods: We performed a systematic literature review with meta-analysis, using three databases to assess clinical, laboratory, imaging features, and outcomes of confirmed cases of COVID-19. All the observational studies, and also case reports, were included and analyzed separately. We performed a random-effects model meta-analysis to calculate the pooled prevalence and 95% confidence interval (95%CI). Measures of heterogeneity were estimated and reported. Results: 660 articles were retrieved. After screening by abstract and title, 27 articles were selected for full-text assessment. Of them, 19 were finally included for qualitative and quantitative analyses. Additionally, 39 case report articles were included and analyzed separately. For 656 patients, fever (88.7%, 95%CI 84.5-92.9%), cough (57.6%, 40.8-74.4%) and dyspnea (45.6%, 10.9-80.4%) were the most prevalent clinical manifestations. Among the patients, 20.3% (95%CI 10.0-30.6%) required intensive care unit (ICU), with 32.8% presenting acute respiratory distress syndrome (ARDS) (95%CI 13.7-51.8), 6.2% (95%CI 3.1-9.3) with shock and 13.9% (95%CI 6.2-21.5%) with a fatal outcome. Discussion: COVID-19 is a new clinical infectious disease, causing considerable compromise, especially in patients with comorbidities, requiring ICU in at least a fifth of them and sometimes with fatal outcomes. Additional research is needed to elucidate factors that may mediate the pathogenesis of the severe and fatal associated disease.
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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