๐ Prevalence of comorbidities in the novel Wuhan coronavirus (COVID-19) infection: a systematic review and meta-analysis.
BACKGROUND: An outbreak of Novel Coronavirus (COVID -19) in Wuhan, China, the epidemic is more widespread than initially estimated, with cases now confirmed in multiple countries. AIMS: The aim of the meta-analysis was to assess the prevalence of comorbidities in the COVID-19 infection patients and the risk of underlying diseases in severe patients compared to non-severe patients. METHODS: A literature search was conducted using the databases Pub. Med, EMBASE, and Web of sciences until February 25, 2020. Risk ratio (OR) and 95% confidence intervals (CIs) were pooled using random-effects models. RESULTS: Eight studies were included in the meta- analysis, including 46248 infected patients. The result showed the most prevalent clinical symptom was fever ( 91 +/- 3, 95% CI 86-97% ), followed by cough (67 +/- 7, 95% CI 59-76%), fatigue ( 51 +/- 0, 95% CI 34-68% ) and dyspnea ( 30 +/- 4, 95% CI 21-40%). The most prevalent comorbidity were hypertension (17 +/- 7, 95% CI 14-22%) and diabetes ( 8 +/- 6, 95% CI 6-11% ), followed by cardiovascular diseases ( 5 +/- 4, 95% CI 4-7% ) and respiratory system disease( 2 +/- 0, 95% CI 1-3% ). Compared with the Non-severe patient, the pooled odds ratio of hypertension, respiratory system disease, cardiovascular disease in severe patients were (OR 2.36, 95% CI: 1.46-3.83), (OR 2.46, 95% CI: 1.76-3.44) and (OR 3.42, 95% CI: 1.88-6.22)respectively. CONCLUSION: We assessed the prevalence of comorbidities in the COVID-19 infection patients and found underlying disease, including hypertension, respiratory system disease and cardiovascular, may be a risk factor for severe patients compared with Non-severe patients.
keywords
๐ 2019-nCoV (257)
๐ COVID-19 (1240)
๐ Clinical characteristics (105)
๐ Comorbidities (90)
๐ Epidemiologicalm ()
๐ Meta-analysis (24)
๐ odds ratio (31)
๐ confidence interval (64)
author
๐ค Yang, Jing
๐ค Zheng, Ya
๐ค Gou, Xi
๐ค Pu, Ke
๐ค Chen, Zhaofeng
๐ค Guo, Qinghong
๐ค Ji, Rui
๐ค Wang, Haojia
๐ค Wang, Yuping
๐ค Zhou, Yongning
year
โฐ 2020
journal
๐ Int J Infect Dis
issn
๐
volume
number
page
citedbycount
0
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