Propensity score matching
The first step in Propensity Score Matching (PSM) is to identify the covariates from which to calculate propensity scores (PS). Age, gender, mcHIS scores, and comorbidities such as DM, HT, and CHD of the patients were determined as the variables to be matched. The PS matching was done as 1:1 with the nearest neighbor method. Caliper value was 0.2. When matching, we performed this analysis by assigning values ​​according to the averages of the parameters with missing data. PSM was performed with SPSS package program 28.0.1 using R package program and an auxiliary plugin (PS matching 3.0 SPE). Dot-plot of standardized mean differences for all covariates before and after PS matching was shown in supplementary figure 1. Jitter plots for trend scores and line-plot of standardized differences were described in supplemental figure 2 and 3, respectively.