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