Univariate analysis
A comparison of patient characteristics between severe and mild patients
is shown in Table 1 . A total of 12 variables were significant
in the univariate analyses (P < 0.1). Considering that
laboratory variables may change during patient’s hospitalization, and
length of hospital stay is the result of the degree of disease. We did
not include the laboratory variables and length of hospital stay in the
multivariate logistic regression analysis. Finally, a total of seven
variables were entered into multivariable logistic regression analysis,
including age, number of comorbidities, hypertension, diabetes,
cardiovascular disease, respiratory system disease, and past surgical
history.