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.