Statistical analysis was performed with Statistical Package for Social Sciences, version 24.0 (IBM, Armonk, NY). Categorical variables were expressed as percentage, whereas continuous variables were presented as median (interquartile range) (nonnormal distribution) or mean±SD (normal distribution). Descriptive characteristics were compared between the 2 groups using χ2, Kruskal‐Wallis, and independent‐sample t tests for categorical, nonnormally distributed, and normally distributed variables, respectively. Kaplan‐Meier analysis was performed to calculate the incidence of adverse end points, with a log‐rank test assessing the differences. Cox regression analysis was constructed to compare the risks of adverse events. Covariates in the multivariate analysis included age, body weight, systolic blood pressure, heart rate, coronary artery disease, diabetes, hemoglobin, urea, BNP (B‐type natriuretic peptide), high‐sensitivity troponin I, left ventricular end‐diastolic diameter, mitral Doppler early velocity/mitral annular early velocity, time interval between echocardiograms, spironolactone, loop diuretic, aspirin, statins, nitrate, cardiac resynchronization therapy, which were statistically different at baseline between the groups. Additional covariates adjusted for clinically relevant characteristics, including atrial fibrillation, β‐blockers, and renin‐angiotensin‐aldosterone system blockers. For the model comparing the risks of adverse outcomes between the LARR and no‐LAAR groups, covariates included age, sex, BNP, and LVEF. Hazard ratio (HR) with 95% CI were presented. Logistic regression analysis was used to identify the independent factors that predict LA reverse remodeling. A 2‐sided P value <0.05 was considered to be statistically different.