COVID-19 patients' clinical characteristics, discharge rate, and fatality rate of meta-analysis
- PMID: 32162702
- PMCID: PMC7228329
- DOI: 10.1002/jmv.25757
COVID-19 patients' clinical characteristics, discharge rate, and fatality rate of meta-analysis
Abstract
The aim of this study was to analyze the clinical data, discharge rate, and fatality rate of COVID-19 patients for clinical help. The clinical data of COVID-19 patients from December 2019 to February 2020 were retrieved from four databases. We statistically analyzed the clinical symptoms and laboratory results of COVID-19 patients and explained the discharge rate and fatality rate with a single-arm meta-analysis. The available data of 1994 patients in 10 literatures were included in our study. The main clinical symptoms of COVID-19 patients were fever (88.5%), cough (68.6%), myalgia or fatigue (35.8%), expectoration (28.2%), and dyspnea (21.9%). Minor symptoms include headache or dizziness (12.1%), diarrhea (4.8%), nausea and vomiting (3.9%). The results of the laboratory showed that the lymphocytopenia (64.5%), increase of C-reactive protein (44.3%), increase of lactic dehydrogenase (28.3%), and leukocytopenia (29.4%) were more common. The results of single-arm meta-analysis showed that the male took a larger percentage in the gender distribution of COVID-19 patients 60% (95% CI [0.54, 0.65]), the discharge rate of COVID-19 patients was 52% (95% CI [0.34,0.70]), and the fatality rate was 5% (95% CI [0.01,0.11]).
Keywords: 2019-nCoV; COVID-19; clinical characteristics; discharge rate; fatality rate; meta-analysis.
© 2020 Wiley Periodicals, Inc.
Conflict of interest statement
The authors declare that there are no conflict of interests.
Figures
Comment in
-
Comment on Li et al: COVID-19 patients' clinical characteristics, discharge rate, and fatality rate of meta-analysis.J Med Virol. 2020 Sep;92(9):1431-1432. doi: 10.1002/jmv.25912. Epub 2020 Jun 12. J Med Virol. 2020. PMID: 32314808 No abstract available.
References
-
- National Health Commission of the People's Republic of China main website. https://www.nhc.gov.cn. Accessed 20 January 2020.
-
- WHO main website. https://www.who.int. Accessed 5 February 2020.
-
- Yang Y, Lu Q, Liu M, et al. Epidemiological and clinical features of the 2019 novel coronavirus outbreak in China. 2020.
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
Research Materials
