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Angiographic phenotypes predict FFR/iFR discordance in severe aortic stenosis: A cluster analysis.

Cardiovascular revascularization medicine : including molecular interventions - 1 Aug 2026

Dziewierz Artur, Zdzierak Barbara, Rzeszutko Łukasz, Niewiara Łukasz, Legutko Jacek, Kleczyński Paweł

Abstract excerpt

BACKGROUND: Assessing coronary artery disease in severe aortic stenosis (AS) is challenging due to altered hemodynamics, causing discordance between fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR). The role of angiographic lesion characteristics in predicting this discordance remains unclear. OBJECTIVES: To identify angiographic predictors of FFR/iFR discordance and define distinct...

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Aortic Valve
Aortic Valve Stenosis
Cardiac Catheterization
Clustering Algorithms
Coronary Angiography

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Unsupervised Machine Learning

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PMID: 41387152
DOI: 10.1016/j.carrev.2025.12.004

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

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