Statistical Analysis
All statistical analyses were performed using SPSS version 13.0 (SPSS Inc., Chicago, IL). Continuous variables of baseline patient and hospital characteristics, treatment variables, and complications were compared using Student t test and discrete variables by the Fisher Exact Test. Predictors of developing severe COVID-2019 were determined by performing univariate logistic regression on each demographic variable using survey statistics; those with a p value of < 0.01 in univariate analyses were included in the multiple variable logistic regression model using forward prediction. Area under the receiver operating characteristic curves (AUC) assessed the discriminatory capacity of each logistic regression model. Thereafter, hierarchical multivariate logistic regression models were constructed with all defined predictor variables to evaluate outcomes. A P value of < 0.05 was considered statistically significant.