Correlation and Agreement of Quantitative Flow Ratio With Fractional Flow Reserve in Saphenous Vein Grafts.

fractional flow reserve quantitative flow ratio saphenous vein grafts

Journal

Journal of the American Heart Association
ISSN: 2047-9980
Titre abrégé: J Am Heart Assoc
Pays: England
ID NLM: 101580524

Informations de publication

Date de publication:
18 Oct 2024
Historique:
medline: 19 10 2024
pubmed: 19 10 2024
entrez: 18 10 2024
Statut: aheadofprint

Résumé

The applicability of quantitative flow ratio (QFR), a nonhyperemic, invasive coronary angiography-derived computation of fractional flow reserve (FFR), has not been studied in coronary artery bypass grafts. We sought to explore the correlation and diagnostic agreement between QFR and FFR in saphenous vein grafts (SVGs). A total of 129 prospectively included patients (mean age 73±8 years, 84% male) with prior coronary artery bypass grafting underwent invasive coronary angiography and pressure-derived functional assessment in 150 nonoccluded SVGs. QFR dedicated angiography images of the SVGs were acquired and used for offline QFR computation. The diagnostic performance of QFR was compared with 2-dimensional quantitative coronary angiography, using FFR as a reference. A threshold of ≤0.80 was used to define functional significance. QFR was successfully computed in 140 (93%) SVGs. We found a significant correlation between QFR and FFR (r=0.72, This study shows the potential applicability of contemporary QFR computation in venous bypass grafts with a moderate correlation and good diagnostic accuracy compared with functional assessment using FFR.

Sections du résumé

BACKGROUND BACKGROUND
The applicability of quantitative flow ratio (QFR), a nonhyperemic, invasive coronary angiography-derived computation of fractional flow reserve (FFR), has not been studied in coronary artery bypass grafts. We sought to explore the correlation and diagnostic agreement between QFR and FFR in saphenous vein grafts (SVGs).
METHODS AND RESULTS RESULTS
A total of 129 prospectively included patients (mean age 73±8 years, 84% male) with prior coronary artery bypass grafting underwent invasive coronary angiography and pressure-derived functional assessment in 150 nonoccluded SVGs. QFR dedicated angiography images of the SVGs were acquired and used for offline QFR computation. The diagnostic performance of QFR was compared with 2-dimensional quantitative coronary angiography, using FFR as a reference. A threshold of ≤0.80 was used to define functional significance. QFR was successfully computed in 140 (93%) SVGs. We found a significant correlation between QFR and FFR (r=0.72,
CONCLUSIONS CONCLUSIONS
This study shows the potential applicability of contemporary QFR computation in venous bypass grafts with a moderate correlation and good diagnostic accuracy compared with functional assessment using FFR.

Identifiants

pubmed: 39424401
doi: 10.1161/JAHA.124.034901
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e034901

Auteurs

Ruben W de Winter (RW)

Department of Cardiology Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Yvemarie B O Somsen (YBO)

Department of Cardiology Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Roel Hoek (R)

Department of Cardiology Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Pepijn A van Diemen (PA)

Department of Cardiology Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Ruurt A Jukema (RA)

Department of Cardiology Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Mathé P Jonker (MP)

Department of Cardiology Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Albert C van Rossum (AC)

Department of Cardiology Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Jos W R Twisk (JWR)

Department of Epidemiology & Data Science Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Rolf A Kooistra (RA)

Medis Medical Imaging Leiden The Netherlands.

Jasper Janssen (J)

Medis Medical Imaging Leiden The Netherlands.

Sina Porouchani (S)

Department of Cardiology Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Adriaan Wilgenhof (A)

Department of Cardiology Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Niels J Verouden (NJ)

Department of Cardiology Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Ibrahim Danad (I)

Department of Cardiology Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Johan H C Reiber (JHC)

Medis Medical Imaging Leiden The Netherlands.

Alexander Nap (A)

Department of Cardiology Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Paul Knaapen (P)

Department of Cardiology Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Classifications MeSH