Statistical analysis
The SPSS 27.0 software package for Windows (SPSS Inc. Chicago, Illinois, USA) was used. Categorical variables are presented as numbers and proportions (%). Non-normally distributed variables (Kolmogorov-Smirnov / Shapiro-Wilk test) are described by their median and interquartile range (IQR).
To identify significant differences in hs-cTnT increase, according to the type of surgery, the nonparametric Kruskal–Wallis test was used (a p value of less than 0.05 was considered significant). If group differences were significant, their effect size was determined by calculating the correlation coefficient, the strength of which was determined following the definition of Cohen et al [4]. Linear regression analysis was used to identify correlations between enzyme release and potential cofactors. Logistic regression analysis was used to analyze the correlation between potential hs-cTnT/CK-MB thresholds and binary coded parameters.
The authors had full access to the data and take responsibility for its integrity.