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Validation of a Prediction Model From Quantitative Coronary Angiography to Detect Ischaemic Lesions as Evaluated by Invasive Fractional Flow Reserve.
- Source :
-
Heart, lung & circulation [Heart Lung Circ] 2025 Feb; Vol. 34 (2), pp. 125-134. Date of Electronic Publication: 2024 Dec 12. - Publication Year :
- 2025
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Abstract
- Aim: Physician visual assessment (PVA) in invasive coronary angiography (ICA) is clinically used to determine stenosis severity and guide coronary intervention. However, PVA provides limited information regarding the haemodynamic significance of stenosis. This prospective study aimed to develop a model combining visual diameter stenosis (DS <subscript>PVA</subscript> ) and quantitative coronary angiography (QCA)-derived parameters to diagnose ischaemic lesions using invasive fractional flow reserve (FFR) with pharmacologically induced maximal hyperaemia as the gold standard.<br />Methods: A total of 103 patients (148 lesions) who underwent ICA and FFR measurement were included in the study. Quantitative coronary angiography was used to evaluate various parameters, including anatomical parameters such as lesion length (LL), minimal lumen diameter (MLD), and minimal lumen area, along with haemodynamic parameters like LL/MLD <superscript>4</superscript> and stenotic flow reserve (SFR). Plaque area, a characteristic parameter of plaque, was also assessed. Lesion-specific ischaemia was defined as invasive FFR ≤0.8.<br />Results: The LL/MLD <superscript>4</superscript> (r= -0.66, p<0.001) and SFR (r=0.66, p<0.001) exhibited inverse and positive correlations, respectively, with invasive FFR. In the multivariable logistic regression analysis, LL/MLD <superscript>4</superscript> (≥10.6 mm <superscript>-3</superscript> vs <10.6 mm <superscript>-3</superscript> ; Odds ratio [OR] 10.59, 95% confidence interval [CI] 3.94-28.50; p<0.001) and SFR (≤2.85 vs >2.85; OR 4.38, 95% CI 1.63-11.79; p=0.004) were identified as the optimal dichotomised predictors for discriminating ischaemia. The area under the curve (AUC) was 0.77 using DS <subscript>PVA</subscript> ≥70% as a single predictor. Adding LL/MLD <superscript>4</superscript> ≥10.6 mm <superscript>-3</superscript> and SFR ≤2.85 into the model significantly increased the AUC to 0.87 (p<0.001).<br />Conclusion: Incorporating QCA-derived haemodynamic parameters provided significant incremental value in the model's discriminatory capability for ischaemic lesions compared with visual diameter assessment alone.<br />Competing Interests: Declaration of Competing Interests K.K.Y. has received research funding from Amgen, Astra Zeneca, Abbott Vascular, Bayer, Boston Scientific, Shockwave Medical, Novartis (via institution); Consulting fees from Abbott Vascular, Medtronic, Novartis, Peijia Medical; Speaker fees from Shockwave Medical, Abbott Vascular, Boston Scientific, Medtronic, Alvimedica, Biotronik, Orbus Neich, Shockwave Medical, Amgen, Novartis, Astra Zeneca, Microport, Terumo, Omnicare. K.K.Y. is also co-founder and owns equity in Trisail for which Orbus Neich is an investor.<br /> (Copyright © 2024 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.)
- Subjects :
- Humans
Female
Male
Middle Aged
Prospective Studies
Aged
Coronary Stenosis physiopathology
Coronary Stenosis diagnosis
Coronary Stenosis diagnostic imaging
Coronary Vessels diagnostic imaging
Coronary Vessels physiopathology
Severity of Illness Index
Myocardial Ischemia physiopathology
Myocardial Ischemia diagnosis
Myocardial Ischemia diagnostic imaging
Predictive Value of Tests
Fractional Flow Reserve, Myocardial physiology
Coronary Angiography methods
Subjects
Details
- Language :
- English
- ISSN :
- 1444-2892
- Volume :
- 34
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Heart, lung & circulation
- Publication Type :
- Academic Journal
- Accession number :
- 39672691
- Full Text :
- https://doi.org/10.1016/j.hlc.2024.09.004