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.