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).