Methods
289 hospitalized laboratory-confirmed COVID-19 patients (119 from Zhongnan Hospital of Wuhan University and 170 from No.7 Hospital of Wuhan) were included in this study. Electronic medical records, including patients’ demographics, clinical manifestation, comorbidities, results of laboratory and radiological materials were collected and analyzed. According to the severity and outcomes of patients, they were divided into three groups: non-survived (n=49), survived severe (n=78), and non-severe (n=162) groups. The clinical, laboratory and radiological data were compared among these groups. Principal component analysis (PCA) was applied to reduce the dimensionality and visualize the patients on a low dimensional space. Correlations between clinical, radiological and laboratory parameters were explored. The univariate and multivariate logistic regression methods were used to explore the risk factors associated with mortality in severe patients.