Kranthi K Kolli1,2, Tim P van de Hoef3, Mohamed A Effat2,4, Rupak K Banerjee1,2, Srikara V Peelukhana1,2, Paul Succop5, Massoud A Leesar6, Arif Imran2,4, Jan J Piek3, Tarek A Helmy7. 1. Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, Ohio. 2. Veteran Affairs Medical Center, Cincinnati, Ohio. 3. Department of Cardiology, Academic Medical Center, Amsterdam, The Netherlands. 4. Division of Cardiovascular Disease, University of Cincinnati, Cincinnati, Ohio. 5. Department of Environmental Health, University of Cincinnati, Cincinnati, Ohio. 6. Division of Cardiovascular Disease, University of Alabama-Birmingham, Alabama. 7. Division of Cardiology, Saint Louis University School of Medicine, St. Louis, Missouri.
Abstract
OBJECTIVES AND BACKGROUND: Functional assessment of intermediate coronary stenosis during cardiac catheterization is conducted using diagnostic parameters like fractional flow reserve (FFR), coronary flow reserve (CFR), hyperemic stenosis resistance index (HSR), and hyperemic microvascular resistance (HMR). CDP (ratio of pressure drop across a stenosis to distal dynamic pressure), a nondimensional index derived from fundamental fluid dynamic principles, based on a combination of intracoronary pressure, and flow measurements may improve the functional assessment of coronary lesion severity. METHODS: Patient-level data pertaining to 350 intracoronary pressure and flow measurements across coronary stenoses was assessed to evaluate CFR, FFR, HSR, HMR, and CDP. CDP was calculated as (ΔP)/(0.5 × ρ × APV(2)). The density of blood (ρ) was assumed to be 1.05 g/cm(3). The correlation of current diagnostic parameters (CFR, FFR, HSR, and HMR) with CDP was evaluated. The receiver operating characteristic (ROC) curve was used to identify the optimal cut-off point of CDP, corresponding to the clinically used cut-off values (FFR = 0.80 and CFR = 2.0). RESULTS: CDP correlated significantly with FFR (r = 0.81, P < 0.05) and had significant diagnostic efficiency (ROC-area under curve of 86%), specificity (72%) and sensitivity (85%) at FFR < 0.8. The corresponding cut-off value for CDP to detect FFR < 0.8 was at CDP>25.4. CDP also correlated significantly (r = 0.98, P < 0.05) with epicardial-specific parameter, HSR. CONCLUSIONS: CDP, a functional parameter based on both intracoronary pressure and flow measurements, has close agreement (area under ROC curve = 86%) with FFR, the frequently used method of evaluating stenosis severity.
OBJECTIVES AND BACKGROUND: Functional assessment of intermediate coronary stenosis during cardiac catheterization is conducted using diagnostic parameters like fractional flow reserve (FFR), coronary flow reserve (CFR), hyperemic stenosis resistance index (HSR), and hyperemic microvascular resistance (HMR). CDP (ratio of pressure drop across a stenosis to distal dynamic pressure), a nondimensional index derived from fundamental fluid dynamic principles, based on a combination of intracoronary pressure, and flow measurements may improve the functional assessment of coronary lesion severity. METHODS:Patient-level data pertaining to 350 intracoronary pressure and flow measurements across coronary stenoses was assessed to evaluate CFR, FFR, HSR, HMR, and CDP. CDP was calculated as (ΔP)/(0.5 × ρ × APV(2)). The density of blood (ρ) was assumed to be 1.05 g/cm(3). The correlation of current diagnostic parameters (CFR, FFR, HSR, and HMR) with CDP was evaluated. The receiver operating characteristic (ROC) curve was used to identify the optimal cut-off point of CDP, corresponding to the clinically used cut-off values (FFR = 0.80 and CFR = 2.0). RESULTS:CDP correlated significantly with FFR (r = 0.81, P < 0.05) and had significant diagnostic efficiency (ROC-area under curve of 86%), specificity (72%) and sensitivity (85%) at FFR < 0.8. The corresponding cut-off value for CDP to detect FFR < 0.8 was at CDP>25.4. CDP also correlated significantly (r = 0.98, P < 0.05) with epicardial-specific parameter, HSR. CONCLUSIONS:CDP, a functional parameter based on both intracoronary pressure and flow measurements, has close agreement (area under ROC curve = 86%) with FFR, the frequently used method of evaluating stenosis severity.
Authors: Damien Garcia; Brahim Harbaoui; Tim P van de Hoef; Martijn Meuwissen; Sukhjinder S Nijjer; Mauro Echavarria-Pinto; Justin E Davies; Jan J Piek; Pierre Lantelme Journal: PLoS One Date: 2019-01-07 Impact factor: 3.240
Authors: Rupak K Banerjee; Sruthi Ramadurai; Shreyash M Manegaonkar; Marepalli B Rao; Sathyaprabha Rakkimuthu; Mohamed A Effat Journal: Front Physiol Date: 2021-07-14 Impact factor: 4.566