Statistical analysis
Descriptive analysis was performed for demographic features with mean and standard deviation or median with interquartile range (IQR) reported for quantitative variables such as age and lengths of hospital stay as appropriate. Frequencies (percentage) for qualitative variables such as sex, co-morbid conditions, mortality, and complications. Continuous variables were also transformed into categorical variables for further analysis as indicated. χ2 test of independence or Fischer exact test was performed for categorical variables such as comparison of those with COVID-19 who died with those who were discharged. Univariable and multivariable ordinal logistic regression was performed to determine the risk factors associated with illness severity of COVID-19, (mild, moderate, and severe/critical). Multivariable logistic regression analysis was performed on variables found to be significant on univariate analysis to identify factors associated with death in COVID-19 infection. All p value ≤0.05 was taken as significant. STATA ver 12.1was used for data analysis.
Results