Statistical analysis
Continuous variables are presented as mean±SD or medians and interquartile range, and categorical variables as numbers and percentages. Patients were divided into worse GLS group (GLS>median) and better GLS group (GLS≤median). Characteristics of worse and better GLS groups were compared using the Student’s t -test or the Mann Whitney test as appropriate for continuous variables and χ2 or Fisher’s exact test for categorical data. Survival curves for MACE were constructed using the Kaplan–Meier method and compared between GLS groups using the log-rank test. Patients were followed from the date of discharge till the first occurrence of MACE, non-cardiac death or end of follow-up, whichever came first. Cox proportional hazard regression models were used to calculate hazards ratios (HR) and corresponding 95% confidence intervals (CI) for MACE, it’s individual components and all-cause mortality, and to assess the univariate and the multivariate predictors of MACE. Models were adjusted for relevant demographic, clinical and echocardiographic variables. Differences were considered statistically significant at the 2-sided P <0.05. Statistical analyses were performed using IBM SPSS Statistics 24.0 (IBM, New York, NY).