Data was recorded on a pre-designed proforma and managed in an excel spreadsheet. All the entries were checked for any possible keyboard errors. Quantitative variables were assessed for approximate normality and summarized as mean ± SD or median (Q1, Q3). In step 1, logistic regression analysis was used with the outcome and each of the independent variables separately. In step 2, multiple logistic regression analysis was performed with all the variables simultaneously with the outcome variable separately. Stata 15.0 statistical software (StataCorp LLC, College Station, USA) was used for data analysis. In this study, a p-value <0.05 was considered as statistically significant.