Epidemiological, Clinical Characteristics and Outcome of Medical Staff Infected with COVID-19 in Wuhan, China: A Retrospective Case Series Analysis

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

This study devoted to report the epidemiological, clinical characteristics and prognosis of medical staff confirmed with COVID-19. Continuous variables were checked for distribution normality by means of the Kolmogorov-Smirnov test, following which they were summarized as either means with standard deviations (SD) or medians with interquartile ranges (IQR) as appropriate. Counts and percentages were utilized to describe categorical variables. Given the cut-off point at 10th day of symptoms onset proposed by previous studies [1, 21] , we assigned the patients into either one of two groups based on duration of symptoms: group 1 (≤10 days) and group 2 (>10 days). We applied a Kaplan-Meier plot to inspect the change of hospital discharge rate. The proportional hazard Cox regression model was utilized to ascertain factors associated with hospital discharge. Univariate models with a single variable once at a time were first fitted. The statistically significant risk factors as well as age and sex were, then, included into a final multivariate Cox regression model.