Statistical Analysis:
We assess the normality of the distribution of continuous variables using D’Agostino-Pearson analysis, we used descriptive statistical methods to depict the study population and presented continuous variables as means and standard deviations. We also reported the total number and proportions of categorical outcomes. We showed results as early (one year later) events and noted possibilities as numbers and percentages. We compared continuous variables using the t-test or Wilcoxon or Mann–Whitney U tests (non-parametric variables) and made comparisons of categorical variables using the Pearson’s v2 test. A two-tailed p-value of <0.05 was considered significant. We analyzed all data with JMP 14.0 software (SAS Institute, Cary, NC).