期刊论文详细信息
Frontiers in Medicine
Analysis of the Risk Factors for Mortality in Adult COVID-19 Patients in Wuhan: A Multicenter Study
article
Man Li1  Wei Long1  Wei Zhou1  Danyang Chen1  Lin Zhou1  Min Wang1  Haibo Xu2  Aiping Deng3  Zeming Liu1  Liang Guo1  Biao Cheng3  Wen Zeng4  Sichao Chen1  Mengqi Tu2  Meng Wu5  Wei Tong6  Shipei Wang1  Yihui Huang1 
[1] Department of Plastic Surgery, Zhongnan Hospital of Wuhan University;Department of Radiology, Zhongnan Hospital of Wuhan University;Department of Pharmacy, Tongji Medical College, The Central Hospital of Wuhan, Huazhong University of Science and Technology;Department of Ophthalmology, Zhongnan Hospital of Wuhan University;Department of Ultrasound, Zhongnan Hospital of Wuhan University;Department of Orthopedics, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology
关键词: COVID-19;    mortality;    risk factors;    SARS-CoV-2;    Wuhan;   
DOI  :  10.3389/fmed.2020.00545
学科分类:社会科学、人文和艺术(综合)
来源: Frontiers
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【 摘 要 】

Objectives: An outbreak of coronavirus disease (COVID-19) in 2019 in Wuhan, China, has spread quickly worldwide. However, the risk factors associated with COVID-19-related mortality remain controversial. Methods: A total of 245 adult patients with laboratory-confirmed COVID-19 from two centers were analyzed. Chi-square, Fisher's exact, and the Mann-Whitney U -tests were used to compare the clinical characteristics between the survivors and non-survivors. To explore the risk factors associated with in-hospital death, univariable and multivariable cox regression analyses were used. Results: Of the 245 patients included in this study, 23 (9.4%) died in the hospital. The multivariate regression analysis showed increased odds of in-hospital deaths associated with age, D-dimer levels >1,000 ng/L, platelet count <125, and higher serum creatinine levels. Conclusions: We identified risk factors that show significant association with mortality in adult COVID-19 patients, and our findings provide valuable references for clinicians to identify high-risk patients with COVID-19 at an early stage.

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