Statistical analysis
Categorical variables are presented as counts and/or percentages and were compared using the chi-square test or Fischer’s exact test if needed. Continuous variables are presented as the mean ± standard deviation and were compared using the Student’s t-test or the Wilcoxon rank-sum test based on their distributions. To determine predictors of the endpoint, a logistic regression analysis including baseline and procedural covariates was used to obtain the odds ratio (OR) and 95% confidence interval (CI) for the development of endpoints. Variables with a p-value <0.1 on univariate analysis were included for the multivariate model. All statistical tests were two-tailed. A p-value <0.05 was considered statistically significant. To compare the BAV patient group and TAV group, the propensity score matching method was modeled with the following variables: age, gender, body mass index, NYHA class ≥3, STS PROM, hypertension, dyslipidemia, diabetes mellitus, atrial fibrillation, chronic kidney disease, prior coronary artery bypass graft surgery (CABG), right bundle branch block (RBBB), LBBB, first-degree atrioventricular block (AVB), left ventricular ejection fraction (LVEF), SAPIEN 3 ultra, approach site. Statistical analyses were performed using JMP version 14.2 (SAS Institute Inc., Cary, NC, USA).