Statistical analyses
The normality of data distributions was analyzed using the Kolmogorov–Smirnov test. All numeric data with normal distributions were reported as mean ± SD, and an independent sample t test was adopted. Otherwise medians (25th-75th percentile) were reported, and the Mann-Whitney U test was used. Clinical characteristics and CMR parameters between the subgroups were compared using an independent sample t test/Mann-Whitney U test for continuous variables. The chi-square test was used for noncontinuous variables and was expressed as proportions (or the Fisher exact test for subgroups containing \(\leq\)5 observations). Predictors of LV-LGE were assessed using logistic regression analyses. The multivariable regression model included all clinical characteristics and VA characteristics, selected based on univariate predictors of LV-LGE with a P <0.10. All statistical analyses were performed using SPSS (version 23.0, Chicago, IL). A two-sided P-value <0.05 was considered statistically significant.