Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis

Jing Yang, Ya Zheng, Xi Gou, Ke Pu, Zhaofeng Chen, Qinghong Guo, Rui Ji, Haojia Wang, Yuping Wang, Yongning Zhou, Jing Yang, Ya Zheng, Xi Gou, Ke Pu, Zhaofeng Chen, Qinghong Guo, Rui Ji, Haojia Wang, Yuping Wang, Yongning Zhou

Abstract

Background: An outbreak of coronavirus disease 2019 (COVID-19) occurred in Wuhan, China; the epidemic is more widespread than initially estimated, with cases now confirmed in multiple countries.

Aims: The aim of this meta-analysis was to assess the prevalence of comorbidities in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infected patients and the risk of underlying diseases in severe patients compared to non-severe patients.

Methods: A literature search was conducted using the databases PubMed, EMBASE, and Web of Science through February 25, 2020. Odds ratios (ORs) and 95% confidence intervals (CIs) were pooled using random-effects models.

Results: Seven studies were included in the meta-analysis, including 1 576 infected patients. The results 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 comorbidities were hypertension (21.1%, 95% CI: 13.0-27.2%) and diabetes (9.7%, 95% CI: 7.2-12.2%), followed by cardiovascular disease (8.4%, 95% CI: 3.8-13.8%) and respiratory system disease (1.5%, 95% CI: 0.9-2.1%). When compared between severe and non-severe patients, the pooled OR of hypertension, respiratory system disease, and cardiovascular disease were 2.36 (95% CI: 1.46-3.83), 2.46 (95% CI: 1.76-3.44) and 3.42 (95% CI: 1.88-6.22) respectively.

Conclusion: We assessed the prevalence of comorbidities in the COVID-19 patients and found that underlying disease, including hypertension, respiratory system disease and cardiovascular disease, may be risk factors for severe patients compared with non-severe patients.

Keywords: COVID-19; Clinical characteristics; Comorbidities; Epidemiology; Meta-analysis; SARS-CoV-2.

Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Figures

Figure 1
Figure 1
Flow diagram of the number of studies screened and included in the meta-analysis.
Figure 2
Figure 2
Meta-analysis of the comorbidities in COVID-19 cases. A, B, C, D represent proportions of hypertension, diabetes, respiratory system disease, and cardiovascular disease.
Figure 3
Figure 3
The risk of comorbidities in severe patients compared to non-severe patients. (A) hypertension, (B) diabetes, (C) respiratory system disease, (D) cardiovascular disease.

References

    1. Alraddadi B.M., Watson J.T., Almarashi A., Abedi G.R., Turkistani A., Sadran M. Risk factors for primary middle east respiratory syndrome coronavirus illness in humans, Saudi Arabia, 2014. Emerging Infect Dis. 2016;22:49–55.
    1. Badawi A., Ryoo S.G. Prevalence of comorbidities in the Middle East respiratory syndrome coronavirus (MERS-CoV): a systematic review and meta-analysis. Int J Infect Dis. 2016;49:129–133.
    1. Channappanavar R., Fett C., Mack M., Ten Eyck P.P., Meyerholz D.K., Perlman S. Sex-based differences in susceptibility to severe acute respiratory syndrome coronavirus infection. J Immunol. 2017;198:4046–4053.
    1. Dooley K.E., Chaisson R.E. Tuberculosis and diabetes mellitus: convergence of two epidemics. Lancet Infect Dis. 2009;9:737–746.
    1. Guan W.J., Ni Z.Y., Hu Y., Liang W.H., Ou C.Q., He J.X. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med. 2020 doi: 10.1056/NEJMoa2002032.
    1. Guo L., Wei D., Zhang X., Wu Y., Li Q., Zhou M. Clinical features predicting mortality risk in patients with viral pneumonia: the MuLBSTA Score. Front Microbiol. 2019;10:2752.
    1. Hong K.W., Cheong H.J., Choi W.S., Lee J., Wie S.H., Baek J.H. Clinical courses and outcomes of hospitalized adult patients with seasonal influenza in Korea, 2011-2012: Hospital-based Influenza Morbidity & Mortality (HIMM) surveillance. J Infect Chemothe. 2014;20:9–14.
    1. Hu S., Gao R., Liu L., Zhu M., Wang W., Wang Y. Summary of the 2018 report on cardiovascular diseases in China. Chin Circ J. 2019;34:209.
    1. Huang C., Wang Y., Li X., Ren L., Zhao J., Hu Y. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497–506.
    1. Hui D.S., IA E., Madani T.A., Ntoumi F., Kock R., Dar O. The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health – the latest 2019 novel coronavirus outbreak in Wuhan, China. Int J Infect Dis. 2020;91:264–266.
    1. Jaillon S., Berthenet K., Garlanda C. Sexual dimorphism in innate immunity. Clin Rev Allergy Immunol. 2019;56:308–321.
    1. Lau D., Eurich D.T., Majumdar S.R., Katz A., Johnson J.A. Effectiveness of influenza vaccination in working-age adults with diabetes: a population-based cohort study. Thorax. 2013;68:658–663.
    1. Liu K., Fang Y.Y., Deng Y., Liu W., Wang M.F., Ma J.P. Clinical characteristics of novel coronavirus cases in tertiary hospitals in Hubei Province. Chin Med J. 2020 doi: 10.1097/cm9.0000000000000744.
    1. Liu M., Liu S.W., Wang L.J., Bai Y.M., Zeng X.Y., Guo H.B. Burden of diabetes, hyperglycaemia in China from to 2016: findings from the 1990 to 2016, global burden of disease study. Diabetes Metab. 2019;45:286–293.
    1. Liu Y., Yang Y., Zhang C., Huang F., Wang F., Yuan J. Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury. Sci China Life Sci. 2020;63:364–374.
    1. Lu R., Zhao X., Li J., Niu P., Yang B., Wu H. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet. 2020;395:565–574.
    1. Mertz D., Kim T.H., Johnstone J., Lam P.P., Science M., Kuster S.P. Populations at risk for severe or complicated influenza illness: systematic review and meta-analysis. BMJ. 2013;347:f5061.
    1. Odegaard J.I., Chawla A. Connecting type 1 and type 2 diabetes through innate immunity. Cold Spring Harbor Perspect Med. 2012;2
    1. Patel A., Jernigan D.B. Initial public health response and interim clinical guidance for the 2019 novel coronavirus outbreak – United States, December 31, 2019-February 4, 2020. Am J Transpl. 2020;20:889–895.
    1. The Novel Coronavirus Pneumonia Emergency Response Epidemiology Team The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19)-China, 2020. China CDC Wkly. 2020;2:113–122.
    1. Wang D., Hu B., Hu C., Zhu F., Liu X., Zhang J. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. Jama. 2020;323:1061–1069.
    1. Zhang J.J., Dong X., Cao Y.Y., Yuan Y.D., Yang Y.B., Yan Y.Q. Clinical characteristics of 140 patients infected by SARS-CoV-2 in Wuhan, China. Allergy. 2020;0:1–12.
    1. Zhang M.Q., Wang X.H., Chen Y.L., Zhao K.L., Cai Y.Q., An C.L. Clinical features of 2019 novel coronavirus pneumonia in the early stage from a fever clinic in Beijing. Zhonghua jie he he hu xi za zhi. 2020;43:E013.

Source: PubMed

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