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.