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Clinical features and risk factors associated with severe COVID-19 patients in China

BACKGROUND: Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly spread throughout the world. In this study, we aimed to identify the risk factors for severe COVID-19 to improve treatment guidelines. METHODS: A multicenter,...

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Autores principales: Jiang, Ning, Liu, Yan-Nan, Bao, Jing, Li, Ran, Ni, Wen-Tao, Tan, Xing-Yu, Xu, Yu, Peng, Li-Ping, Wang, Xiao-Rong, Zeng, Yi-Ming, Liu, Dai-Shun, Xue, Qing, Li, Jia-Shu, Hu, Ke, Zheng, Ya-Li, Gao, Zhan-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8078348/
https://www.ncbi.nlm.nih.gov/pubmed/33813510
http://dx.doi.org/10.1097/CM9.0000000000001466
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author Jiang, Ning
Liu, Yan-Nan
Bao, Jing
Li, Ran
Ni, Wen-Tao
Tan, Xing-Yu
Xu, Yu
Peng, Li-Ping
Wang, Xiao-Rong
Zeng, Yi-Ming
Liu, Dai-Shun
Xue, Qing
Li, Jia-Shu
Hu, Ke
Zheng, Ya-Li
Gao, Zhan-Cheng
author_facet Jiang, Ning
Liu, Yan-Nan
Bao, Jing
Li, Ran
Ni, Wen-Tao
Tan, Xing-Yu
Xu, Yu
Peng, Li-Ping
Wang, Xiao-Rong
Zeng, Yi-Ming
Liu, Dai-Shun
Xue, Qing
Li, Jia-Shu
Hu, Ke
Zheng, Ya-Li
Gao, Zhan-Cheng
author_sort Jiang, Ning
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly spread throughout the world. In this study, we aimed to identify the risk factors for severe COVID-19 to improve treatment guidelines. METHODS: A multicenter, cross-sectional study was conducted on 313 patients hospitalized with COVID-19. Patients were classified into two groups based on disease severity (nonsevere and severe) according to initial clinical presentation. Laboratory test results and epidemiological and clinical characteristics were analyzed using descriptive statistics. Univariate and multivariate logistic regression models were used to detect potential risk factors associated with severe COVID-19. RESULTS: A total of 289 patients (197 nonsevere and 92 severe cases) with a median age of 45.0 (33.0, 61.0) years were included in this study, and 53.3% (154/289) were male. Fever (192/286, 67.1%) and cough (170/289, 58.8%) were commonly observed, followed by sore throat (49/289, 17.0%). Multivariate logistic regression analysis suggested that patients who were aged ≥ 65 years (OR: 2.725, 95% confidence interval [CI]: 1.317–5.636; P = 0.007), were male (OR: 1.878, 95% CI: 1.002–3.520, P = 0.049), had comorbid diabetes (OR: 3.314, 95% CI: 1.126–9.758, P = 0.030), cough (OR: 3.427, 95% CI: 1.752–6.706, P < 0.001), and/or diarrhea (OR: 2.629, 95% CI: 1.109–6.231, P = 0.028) on admission had a higher risk of severe disease. Moreover, stratification analysis indicated that male patients with diabetes were more likely to have severe COVID-19 (71.4% vs. 28.6%, χ(2) = 8.183, P = 0.004). CONCLUSIONS: The clinical characteristics of those with severe and nonsevere COVID-19 were significantly different. The elderly, male patients with COVID-19, diabetes, and presenting with cough and/or diarrhea on admission may require close monitoring to prevent deterioration.
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spelling pubmed-80783482021-04-27 Clinical features and risk factors associated with severe COVID-19 patients in China Jiang, Ning Liu, Yan-Nan Bao, Jing Li, Ran Ni, Wen-Tao Tan, Xing-Yu Xu, Yu Peng, Li-Ping Wang, Xiao-Rong Zeng, Yi-Ming Liu, Dai-Shun Xue, Qing Li, Jia-Shu Hu, Ke Zheng, Ya-Li Gao, Zhan-Cheng Chin Med J (Engl) Original Articles BACKGROUND: Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly spread throughout the world. In this study, we aimed to identify the risk factors for severe COVID-19 to improve treatment guidelines. METHODS: A multicenter, cross-sectional study was conducted on 313 patients hospitalized with COVID-19. Patients were classified into two groups based on disease severity (nonsevere and severe) according to initial clinical presentation. Laboratory test results and epidemiological and clinical characteristics were analyzed using descriptive statistics. Univariate and multivariate logistic regression models were used to detect potential risk factors associated with severe COVID-19. RESULTS: A total of 289 patients (197 nonsevere and 92 severe cases) with a median age of 45.0 (33.0, 61.0) years were included in this study, and 53.3% (154/289) were male. Fever (192/286, 67.1%) and cough (170/289, 58.8%) were commonly observed, followed by sore throat (49/289, 17.0%). Multivariate logistic regression analysis suggested that patients who were aged ≥ 65 years (OR: 2.725, 95% confidence interval [CI]: 1.317–5.636; P = 0.007), were male (OR: 1.878, 95% CI: 1.002–3.520, P = 0.049), had comorbid diabetes (OR: 3.314, 95% CI: 1.126–9.758, P = 0.030), cough (OR: 3.427, 95% CI: 1.752–6.706, P < 0.001), and/or diarrhea (OR: 2.629, 95% CI: 1.109–6.231, P = 0.028) on admission had a higher risk of severe disease. Moreover, stratification analysis indicated that male patients with diabetes were more likely to have severe COVID-19 (71.4% vs. 28.6%, χ(2) = 8.183, P = 0.004). CONCLUSIONS: The clinical characteristics of those with severe and nonsevere COVID-19 were significantly different. The elderly, male patients with COVID-19, diabetes, and presenting with cough and/or diarrhea on admission may require close monitoring to prevent deterioration. Lippincott Williams & Wilkins 2021-04-20 2021-04-01 /pmc/articles/PMC8078348/ /pubmed/33813510 http://dx.doi.org/10.1097/CM9.0000000000001466 Text en Copyright © 2021 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Articles
Jiang, Ning
Liu, Yan-Nan
Bao, Jing
Li, Ran
Ni, Wen-Tao
Tan, Xing-Yu
Xu, Yu
Peng, Li-Ping
Wang, Xiao-Rong
Zeng, Yi-Ming
Liu, Dai-Shun
Xue, Qing
Li, Jia-Shu
Hu, Ke
Zheng, Ya-Li
Gao, Zhan-Cheng
Clinical features and risk factors associated with severe COVID-19 patients in China
title Clinical features and risk factors associated with severe COVID-19 patients in China
title_full Clinical features and risk factors associated with severe COVID-19 patients in China
title_fullStr Clinical features and risk factors associated with severe COVID-19 patients in China
title_full_unstemmed Clinical features and risk factors associated with severe COVID-19 patients in China
title_short Clinical features and risk factors associated with severe COVID-19 patients in China
title_sort clinical features and risk factors associated with severe covid-19 patients in china
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8078348/
https://www.ncbi.nlm.nih.gov/pubmed/33813510
http://dx.doi.org/10.1097/CM9.0000000000001466
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