Vessel‐Oriented Analysis on the Relationship Between Quantitative‐Flow Ratio and Mortality in Patients With Severe Aortic Stenosis and Intermediate Coronary Lesions

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Authors: Iginio Colaiori, Luca Paolucci, Fabio Mangiacapra, Emanuele Barbato, Giulia Nardi, Javier Escaned, Gianluca Calogero Campo, Simone Biscaglia, Francesco Versaci, Giuseppe Biondi‐Zoccai, Achille Gaspardone, Marco Vitolo
+4 more Giorgio Benatti, Luigi Vignali, Giuseppe Boriani, Vincenzo Guiducci
Cited by: 0
References: 30

Abstract

BACKGROUND: Quantitative flow ratio (QFR) is effective in predicting mortality in patients undergoing transcatheter aortic valve replacement (TAVR). How QFR reclassifies coronary artery disease (CAD) at vessel-level compared to angiography and how this influences the risk of death, remains undetermined. METHODS: We calculated QFR from consecutive 280 TAVR patients with bystander coronary stenoses. All lesions were managed conservatively. Angiographic CAD was defined by a diameter stenosis ≥ 50%, functional CAD by a QFR ≤ 0.80. The outcome was mortality at 3 years. RESULTS: Overall, 635 lesions were included. Angiographic CAD was evident in 165 (26.0%), functional CAD in 17 (11.2%) (reclassification: p < 0.001). Angiography/QFR mismatch occurred in 22.5%, mostly in large vessels and lesions located in the proximal left anterior descending (LAD). QFR ≤ 0.80 was an independent predictor of death (HR 2.91, 95% CI 1.94-4.36; p < 0.001). The risk was progressively increased for lower QFR values and positive QFR at LAD site (vs. QFR > 0.80 HR: 3.92, 95% CI 2.78-5.53; p < 0.001; vs. QFR ≤ 0.80 at non-LAD site: HR 2.65, 95% CI 1.07-6.59; p = 0.034). CONCLUSIONS: QFR leads to a significant reclassification of CAD rates at vessel-level and shows a significant prognostic value in patients undergoing TAVR.

Fields of Study & Subjects

Coronary Interventions and Diagnostics Cardiac Valve Diseases and Treatments Cardiac Imaging and Diagnostics

Publication details

Journal / source
Catheterization and Cardiovascular Interventions
Volume
107
Issue
5
Pages
1407–1417
Publication date
29 January 2026
Language
EN