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Clinical Characteristics, Associated Factors, and Predicting COVID-19 Mortality Risk: A Retrospective Study in Wuhan, China

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收录情况： ◇ SCIE ◇ SSCI

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单位： [1]Department of Public Health,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,China [2]Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan,China [3]Department of Orthopedics,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,China [4]Department of Laboratory Medicine,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,China

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Introduction: COVID-19 has become a serious global pandemic. This study investigates the clinical characteristics and the risk factors for COVID-19 mortality and establishes a novel scoring system to predict mortality risk in patients with COVID-19. Methods: A cohort of 1,663 hospitalized patients with COVID-19 in Wuhan, China, of whom 212 died and 1,252 recovered, were included in this study. Demographic, clinical, and laboratory data on admission were collected from electronic medical records between January 14, 2020 and February 28, 2020. Clinical outcomes were collected until March 26, 2020. Multivariable logistic regression was used to explore the association between potential risk factors and COVID-19 mortality. The receiver operating characteristic curve was used to predict COVID-19 mortality risk. All analyses were conducted in April 2020. Results: Multivariable regression showed that increased odds of COVID-19 mortality was associated with older age (OR=2.15, 95% CI=1.35, 3.43), male sex (OR=1.97, 95% CI=1.29, 2.99), history of diabetes (OR=2.34, 95% CI=1.45, 3.76), lymphopenia (OR=1.59, 95% CI=1.03, 2.46), and increased procalcitonin (OR=3.91, 95% CI=2.22, 6.91, per SD increase) on admission. Spline regression analysis indicated that the correlation between procalcitonin levels and COVID-19 mortality was nonlinear (p=0.0004 for nonlinearity). The area under the receiver operating curve of the COVID-19 mortality risk was 0.765 (95% CI=0.725, 0.805). Conclusions: The independent risk factors for COVID-19 mortality included older age, male sex, history of diabetes, lymphopenia, and increased procalcitonin, which could help clinicians to identify patients with poor prognosis at an earlier stage. The COVID-19 mortality risk score model may assist clinicians in reducing COVID-19–related mortality by implementing better strategies for more effective use of limited medical resources. © 2020 American Journal of Preventive Medicine

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基金编号： 2020kfyXGYJ040

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出版当年[2019]版：

大类 | 2 区医学

小类 | 2 区医学：内科 2 区公共卫生、环境卫生与职业卫生

最新[2025]版：

大类 | 2 区

医学

小类 | 1 区公共卫生、环境卫生与职业卫生 2 区医学：内科

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出版当年[2018]版：

Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Q1 MEDICINE, GENERAL & INTERNAL

最新[2023]版：

Q1 MEDICINE, GENERAL & INTERNAL Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

影响因子： 4.3 最新[2023版] 4.9 最新五年平均 4.435 出版当年[2018版] 5.307 出版当年五年平均 4.127 出版前一年[2017版] 4.42 出版后一年[2019版]

第一作者：

第一作者单位： [1]Department of Public Health,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,China

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通讯机构： [1]Department of Public Health,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,China [*1]Department of Public Health,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,1095 Jiefang Avenue,Wuhan 430030,China.

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Clinical Characteristics, Associated Factors, and Predicting COVID-19 Mortality Risk: A Retrospective Study in Wuhan, China $(function () { $("[data-toggle='tooltip']").tooltip(); });

文献详情

Clinical Characteristics, Associated Factors, and Predicting COVID-19 Mortality Risk: A Retrospective Study in Wuhan, China