The study focuses on improving the detection of periprocedural myocardial infarction (PMI) after coronary artery bypass grafting (CABG) by analyzing the changes in cardiac biomarker CK-MB over time.
It involved 635 patients with 1589 CK-MB measurements, where the majority showed no signs of PMI, pinpointing key factors like patient sex and surgical specifics that influence CK-MB levels.
A web-based application was developed to model CK-MB kinetics; the model achieved notable diagnostic accuracy, indicating its potential for wider use in monitoring and validating other cardiac biomarkers.