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.