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).