A Common Algorithm for Cardiac Troponin to Rule Out and Rule in Acute Myocardial Infarction.

Can J Cardiol

Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Center for Population Health Innovation (POINT), Hamburg, Germany; German Center for Cardiovascular Research (DZHK), Partner site Hamburg/Kiel/Lübeck, Hamburg, Germ

Published: July 2025


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Article Abstract

Background: A limitation of diagnostic algorithms in patients with suspected myocardial infarction (MI) is the requirement for assay-specific high-sensitivity cardiac troponin (hs-cTn) cutoff concentrations and change criteria. In this study we evaluated a common change criteria algorithm (3C) for hs-cTn and compared it with established algorithms for the rule out and rule in of MI.

Methods: We applied the 3C algorithm in 2 prospective cohort studies (with 3 different hs-cTn assays) of patients who presented to the emergency department with suspected MI who had serial hs-cTn results available. Diagnostic performance measures (sensitivity, specificity, predictive values, likelihood ratios) for MI were obtained for the 3C (change criteria > |3| ng/L for < 10 ng/L, > |30|% between 10 and 100 ng/L, and > |15|% for > 100 ng/L), and the European Society of Cardiology (ESC) algorithms for rule in and rule out. Confusion matrices, net reclassification improvement, and effectiveness (percentage rule in and rule out) analyses were also performed.

Results: In 5011 patients, the MI prevalence was 16.12% (n = 811). Comparable diagnostic accuracy in terms of sensitivity, specificity, and predictive values were observed between the 3C and ESC algorithms. Direct comparison of the algorithms via net reclassification improvement showed no decisive advantage for either algorithm. Confusion matrices for all 3 assays for the 0- and/or 1-hour and 0- and/or 2-hour sampling identified that the 3C ruled in more patients with an MI who were ruled out using the ESC algorithm. Effectiveness was higher for 3C (83.2%-88.8%) vs ESC (64.4%-74.5%) for hs-cTnI but not for hs-cTnT (64.5%-71.8% vs 72.4%-80.6%, respectively).

Conclusions: The 3C algorithm offers a uniform, assay agnostic alternative to established algorithms, independent of timing of serial sampling.

Clinical Trial Registrations: NCT02355457, ACTR,12611001069943, ANZCTR12610000766011, and ANZCTR12613000745741.

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http://dx.doi.org/10.1016/j.cjca.2025.02.029DOI Listing

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