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