Statistical analysis
REGRESSION
Propensity score matching (PSM) was used to balance measurable confounders between standard treatment group and ARNI group. The propensity score was calculated by logistic regression model with the following covariates age, gender, height, weight, smoking, drinking, medical history, type of HF and NYHA classification. The matching was performed using a 1:2 nearest-neighbor matching protocol with caliper width 0.1. After PSM, statistical analyses were performed using SPSS 26.0 (SPSS Inc., Chicago, IL, USA). Figures were plotted using GraphPad Prism 8.02 (GraphPad Software Inc., San Diego, CA, USA). Continuous variables were described as median and interquartile. Categorical variables were described as number and percentage. Comparisons between standard treatment group and ARNI group were conducted by Wilcoxon rank sum test or Chi-square test. Factors association with readmission rate in ARNI group were screened using univariate logistic regression model, and variables with P value < 0.1 in univariate logistic regression model were further analyzed using multivariate logistic regression model. All tests were two-tail, P value < 0.05 were considered statistically significant.