Functional diagnosis of coronary stenoses using pressure drop coefficient: A pilot study in humans

Academic Article

Abstract

  • Objectives and Background Myocardial fractional flow reserve (FFR) in conjunction with coronary flow reserve (CFR) is used to evaluate the hemodynamic severity of coronary lesions. However, discordant results between FFR and CFR have been observed in intermediate coronary lesions. A functional parameter, pressure drop coefficient (CDP; ratio of pressure drop to distal dynamic pressure), was assessed using intracoronary pressure drop (dp) and average peak velocity (APV). The CDP is a nondimensional ratio, derived from fundamental fluid dynamic principles. We sought to evaluate the correlation of CDP with FFR, CFR, and hyperemic stenosis resistance (HSR: ratio of pressure drop to APV) in human subjects. Methods Twenty-seven patients with reversible perfusion defects based on SPECT were consented for the study before cardiac catheterization. Distal coronary pressure and APV were measured simultaneously for each coronary lesion using a Combowire© during cardiac catheterization. Reference diameter, minimal lumen diameter, and %AS were obtained by quantitative coronary angiography. Maximum hyperemia was induced by IV adenosine (140 μg/kg/min). CDP was calculated as, (Δp)/(0.5 × ρ × APV2). The density of blood (ρ) was assumed to be 1.05 gm/cm3. Results The functional index, CDP, when correlated simultaneously with FFR and CFR, was found to have a significant correlation (r = 0.61; P < 0.05). Similarly a significant correlation was achieved when CDP was correlated with HSR (r = 0.91; P < 0.001). This is consistent with the definition of CDP, which is a functional parameter that includes both pressure and flow information. Conclusions CDP, a nondimensional parameter combining simultaneous measurements of pressure drop and velocity data, can accurately define the severity of coronary stenoses and could prove advantageous clinically. © 2013 Wiley Periodicals, Inc. Copyright © 2013 Wiley Periodicals, Inc.
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    Digital Object Identifier (doi)

    Author List

  • Kolli KK; Helmy TA; Peelukhana SV; Arif I; Leesar MA; Back LH; Banerjee RK; Effat MA
  • Start Page

  • 377
  • End Page

  • 385
  • Volume

  • 83
  • Issue

  • 3