Statistical Analyses
Data were analyzed using the SPSS 24.0 version (SPSS Inc, Chicago,
Illinois). Normality of the data was determined using the
Kolmogorov-Smirnov test. The continuous variables with a normal
distribution are presented as mean + standard deviation (SD) values,
while those without a normal distribution are presented as median and
interquartile range values. Frequency distribution was calculated for
the categorical variables (numbers and percentages). The continuous
variables of the 2 groups were compared using the Student t-test or the
Mann-Whitney U test. Categorical data were compared using the chi-square
test or the Fisher exact test. Multivariate logistic regression analysis
was used to determine independent predictors of coronary patency using
variables found to be significant in univariate analysis (P
<0.05). Receiver–operating characteristic (ROC) analyses were
used to compare the performance power of the CAR, CRP, and albumin for
coronary patency. The predictive validities were quantified as the area
under the ROC curves (c statistics), and the comparisons of statistics
were performed by De long’s test.