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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

作者: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

来源:中华医学杂志英文版 2021 年 134卷 8期

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作者:
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
来源:
中华医学杂志英文版 2021 年 134卷 8期
标签:
Clinical feature Coronavirus disease 2019 Diabetes Risk factor Severe acute respiratory syndrome coronavirus 2 Clinical feature Coronavirus disease 2019 Diabetes Risk factor Severe acute respiratory syndrome coronavirus 2
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