Dynamic Versus Static Cardiac Biomarker Assessment for Prognostic Stratification After Percutaneous Coronary Intervention: A Systematic Review.

Authors

Nabila N Anika, Mohamed K Said, Hamza Al Balushi, Fnu Vanshika, Shivam Singla, Sunita Kumawat, Hafiz H Zubair, Naeem Aslam, Ghazanfar Ali, Ali Ahmed

Published in

Cureus. Volume 18. Issue 6. Pages e110382. Epub Jun 07, 2026.

Abstract

Cardiac biomarkers are widely used for risk stratification in patients undergoing percutaneous coronary intervention (PCI), yet their optimal mode of assessment remains uncertain. This systematic review evaluates the prognostic significance of serial, delta, and peak periprocedural cardiac biomarker measurements compared with single baseline measurements. A comprehensive literature search of PubMed/MEDLINE, Scopus, and Web of Science identified nine cohort studies encompassing diverse PCI settings, including elective, primary, and chronic total occlusion interventions. Biomarkers assessed included high-sensitivity and conventional troponin, N-terminal pro-B-type natriuretic peptide (NT-proBNP), and creatine kinase-myocardial band (CK-MB), with varying measurement strategies such as baseline, peak, serial, and delta assessments. The findings demonstrate that baseline troponin levels consistently predict outcomes, whereas post-procedural elevations show variable and threshold-dependent prognostic value. In contrast, serial assessment of NT-proBNP appears to enhance prognostic discrimination and reflects underlying pathophysiologic processes such as ischemic burden and reperfusion dynamics. Considerable heterogeneity was observed in biomarker timing, thresholds, and outcome definitions, precluding quantitative synthesis. Overall, the evidence suggests that dynamic biomarker assessment, particularly for natriuretic peptides, may offer incremental value over static measurements, although its clinical integration requires further validation. These findings support a more nuanced, context-dependent approach to biomarker interpretation in PCI populations.

PMID:
42416944
Bibliographic data and abstract were imported from PubMed on 08 Jul 2026.

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