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Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis
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 res...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7194638/ https://www.ncbi.nlm.nih.gov/pubmed/32173574 http://dx.doi.org/10.1016/j.ijid.2020.03.017 |
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author | Yang, Jing Zheng, Ya Gou, Xi Pu, Ke Chen, Zhaofeng Guo, Qinghong Ji, Rui Wang, Haojia Wang, Yuping Zhou, Yongning |
author_facet | Yang, Jing Zheng, Ya Gou, Xi Pu, Ke Chen, Zhaofeng Guo, Qinghong Ji, Rui Wang, Haojia Wang, Yuping Zhou, Yongning |
author_sort | Yang, Jing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7194638 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71946382020-05-02 Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis Yang, Jing Zheng, Ya Gou, Xi Pu, Ke Chen, Zhaofeng Guo, Qinghong Ji, Rui Wang, Haojia Wang, Yuping Zhou, Yongning Int J Infect Dis Article 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. The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020-05 2020-03-12 /pmc/articles/PMC7194638/ /pubmed/32173574 http://dx.doi.org/10.1016/j.ijid.2020.03.017 Text en © 2020 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Yang, Jing Zheng, Ya Gou, Xi Pu, Ke Chen, Zhaofeng Guo, Qinghong Ji, Rui Wang, Haojia Wang, Yuping Zhou, Yongning Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis |
title | Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis |
title_full | Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis |
title_fullStr | Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis |
title_full_unstemmed | Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis |
title_short | Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis |
title_sort | prevalence of comorbidities and its effects in patients infected with sars-cov-2: a systematic review and meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7194638/ https://www.ncbi.nlm.nih.gov/pubmed/32173574 http://dx.doi.org/10.1016/j.ijid.2020.03.017 |
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