Statistical analysis:
Data Analysis was performed using STATA 17 (STATA CORP College Station, Texas). Continuous variables were compared using Student t-test and categorical variables were compared using Chi-square test. Univariate regression analysis was used to calculate unadjusted odds ratio (OR) for the primary and secondary outcomes. A multivariate regression analysis was used to adjust for confounders; age, sex, median income, primary insurance, hospital bed size, hospital teaching status and chronic comorbidities such as Hypertension, Diabetes Mellitus, Congestive heart failure, Valvular heart disease, Peripheral vascular disease, Chronic lung disease, Obesity, Peptic ulcer disease, Coagulopathy, Liver disease, Solid tumor, deficiency anemia, Sarcoidosis, , Dementia, History of myocardial infarction, history of percutaneous coronary intervention (PCI) and history of coronary artery bypass graft (CABG). Logistic regression was used for dichotomous outcomes and linear regression was used for continuous outcomes. All P-values were 2-sided, with 0.05 as threshold for statistical significance.
ICD 10 codes used in our analysis are included in supplementary table 1