Selected article for: "Cox regression model and final multivariate"
Author: Jie Liu; Liu Ouyang; Pi Guo; Hai sheng Wu; Peng Fu; Yu liang Chen; Dan Yang; Xiao yu Han; Yu kun Cao; Osamah Alwalid; Juan Tao; Shu yi Peng; He shui Shi; Fan Yang; Chuan sheng Zheng
Title: Epidemiological, Clinical Characteristics and Outcome of Medical Staff Infected with COVID-19 in Wuhan, China: A Retrospective Case Series Analysis
  • Document date: 2020_3_13
    • ID: hnm54k4r_38
    Snippet: The HR metric derived from multivariate Cox regression model was utilized to ascertain factors significantly associated with the endpoint of patients infected with SARS-CoV-2. Results of the final multivariate Cox regression model showed that larger BMI (≥ 24 kg/m 2 ) (HR 0.14; 95% CI 0.03-0.73), fever symptoms (HR 0.24; 95% CI 0.09-0.60) and increased IL-6 levels (> 2.9 pg/ml) on admission (HR 0.31; 95% CI 0.11-0.87) were unfavorable factors f.....
    Document: The HR metric derived from multivariate Cox regression model was utilized to ascertain factors significantly associated with the endpoint of patients infected with SARS-CoV-2. Results of the final multivariate Cox regression model showed that larger BMI (≥ 24 kg/m 2 ) (HR 0.14; 95% CI 0.03-0.73), fever symptoms (HR 0.24; 95% CI 0.09-0.60) and increased IL-6 levels (> 2.9 pg/ml) on admission (HR 0.31; 95% CI 0.11-0.87) were unfavorable factors for hospital discharge (all HRs <1 and all P-values <0.05) according to Cox regression mode ( Figure 2B ).

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