Author: Penghui Yang; Yibo Ding; Zhe Xu; Rui Pu; Ping Li; Jin Yan; Jiluo Liu; Fanping Meng; Lei Huang; Lei Shi; Tianjun Jiang; Enqiang Qin; Min Zhao; Dawei Zhang; Peng Zhao; Lingxiang Yu; Zhaohai Wang; Zhixian Hong; Zhaohui Xiao; Qing Xi; Dexi Zhao; Peng Yu; Caizhong Zhu; Zhu Chen; Shaogeng Zhang; Junsheng Ji; Guangwen Cao; Fusheng Wang
Title: Epidemiological and clinical features of COVID-19 patients with and without pneumonia in Beijing, China Document date: 2020_3_3
ID: 2vdvswda_10
Snippet: The Cox proportional hazard model was applied to calculate the hazard ratio (HR) and 95% confidence interval (CI). Stepwise backward multivariate Cox regression analysis was performed to determine factors independently predicting the progression of COVID-19. Differences in the daily medians of laboratory parameters between patients with and without pneumonia in the 20 consecutive days were evaluated using Generalized Estimating Equations (GEE). A.....
Document: The Cox proportional hazard model was applied to calculate the hazard ratio (HR) and 95% confidence interval (CI). Stepwise backward multivariate Cox regression analysis was performed to determine factors independently predicting the progression of COVID-19. Differences in the daily medians of laboratory parameters between patients with and without pneumonia in the 20 consecutive days were evaluated using Generalized Estimating Equations (GEE). Above statistical analyses were two-sided and performed using SPSS (Statistical Package for the Social Sciences) version 21.0 software. The dynamic diagrams and the trend of each laboratory parameter fitted by local polynomial regression (LOESS) were generated by R software (version 3.6.2). A P value of <0.05 was considered significant.
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