*2.4. Statistical Analysis*

All data were tested for normality using the Kolmogorov-Smirnov test. Data were presented as median, mean ± standard deviation (SD) or percentage. Baseline characteristics among those with and without LGE patients with clinical outcomes were compared by Chi-square χ<sup>2</sup> test or Fischer exact test as appropriate (categorical data) and Wilcoxon signed rank test (continuous data). The hazard ratio (HR) for the prediction of events was calculated using a Cox regression model. For each outcome, we considered all of the significant variables in the univariate analysis and sought the best overall multivariate models for the composite end-point, by stepwise-forward selection, with a probability to enter set at *p* < 0.05 and to remove the effect of regression at *p* < 0.05. Event-free survival was generated by the Kaplan–Meier method and statistical significance was determined by the log-rank test. Multivariate analysis was performed by constructing a multiple logistic regression model, including the HR (95%CI) calculation. Cohen's Kappa inter- and intra-observer coefficient calculation was performed. Retrospective test power calculation and prospective sample size were estimated, with type I and type II variation according to sample size. The statistical analysis was performed using the MedCalc (Version 19.1.7, MedCalc Software, Ostend, Belgium).
