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.