作者
Yufeng Shang, Tao Liu, Yongchang Wei, Jingfeng Li, Liang Shao, Minghui Liu, Yongxi Zhang, Zhigang Zhao, Haibo Xu, Zhiyong Peng, Xinghuan Wang, Fuling Zhou
发表日期
2020/7/1
期刊
EClinicalMedicine
卷号
24
出版商
Elsevier
简介
Background
Coronavirus disease 2019 (COVID-19) has been widely spread and caused tens of thousands of deaths, especially in patients with severe COVID-19. This analysis aimed to explore risk factors for mortality of severe COVID-19, and establish a scoring system to predict in-hospital deaths.
Methods
Patients with COVID-19 were retrospectively analyzed and clinical characteristics were compared. LASSO regression as well as multivariable analysis were used to screen variables and establish prediction model.
Findings
A total of 2529 patients with COVID-19 was retrospectively analyzed, and 452 eligible severe COVID-19 were used for finally analysis. In training cohort, the median age was 66•0 years while it was 73•0 years in non-survivors. Patients aged 60–75 years accounted for the largest proportion of infected populations and mortality toll. Anti-SARS-CoV-2 antibodies were monitored up to 54 days …
学术搜索中的文章
Y Shang, T Liu, Y Wei, J Li, L Shao, M Liu, Y Zhang… - EClinicalMedicine, 2020