title: Pulse Wave Velocity Prediction and Compliance Assessment in Elastic Arterial Segments.
abstract: Pressure wave velocity (PWV) is commonly used as a clinical marker of vascular elasticity. Recent studies have increased clinical interest in also analyzing the impact of heart rate, blood pressure, and left ventricular ejection time on PWV. In this article we focus on the development of a theoretical one-dimensional model and validation via direct measurement of the impact of ejection time and peak pressure on PWV using an in vitro hemodynamic simulator. A simple nonlinear traveling wave model was developed for a compliant thin-walled elastic tube filled with an incompressible fluid. This model accounts for the convective fluid phenomena, elastic vessel deformation, radial motion, and inertia of the wall. An exact analytical solution for PWV is presented which incorporates peak pressure, ejection time, ejection volume, and modulus of elasticity. To assess arterial compliance, the solution is introduced in an alternative form, explicitly determining compliance of the wall as a function of the other variables. The model predicts PWV in good agreement with the measured values with a maximum difference of 3.0%. The results indicate an inverse quadratic relationship ([Formula: see text]) between ejection time and PWV, with ejection time dominating the PWV shifts (12%) over those observed with changes in peak pressure (2%). Our modeling and validation results both explain and support the emerging evidence that, both in clinical practice and clinical research, cardiac systolic function related variables should be regularly taken into account when interpreting arterial function indices, namely PWV.
authors.affiliation: Rochester Institute of Technology, Rochester, NY, USA.
authors.forename: Jeffrey S
authors.initials: JS
authors.lastname: Lillie
authors.affiliation: Rochester Institute of Technology, Rochester, NY, USA.
authors.forename: Alexander S
authors.initials: AS
authors.lastname: Liberson
authors.affiliation: University of Rochester, Rochester, NY, USA.
authors.forename: Doran
authors.initials: D
authors.lastname: Mix
authors.affiliation: University of Rochester, Rochester, NY, USA.
authors.forename: Karl Q
authors.initials: KQ
authors.lastname: Schwarz
authors.affiliation: University of Rochester, Rochester, NY, USA.
authors.forename: Ankur
authors.initials: A
authors.lastname: Chandra
authors.affiliation: Rochester Institute of Technology, Rochester, NY, USA.
authors.forename: Daniel B
authors.initials: DB
authors.lastname: Phillips
authors.affiliation: Rochester Institute of Technology, Rochester, NY, USA.
authors.forename: Steven W
authors.initials: SW
authors.lastname: Day
authors.affiliation: Rochester Institute of Technology, Rochester, NY, USA. david.borkholder@rit.edu.|University of Rochester, Rochester, NY, USA. david.borkholder@rit.edu.
authors.forename: David A
authors.initials: DA
authors.lastname: Borkholder
mesh_terms: D001158:Arteries / Q000502:physiology*; D001783:Blood Flow Velocity; D003187:Compliance; D004548:Elasticity; D006801:Humans; D008955:Models, Cardiovascular; D063177:Pulse Wave Analysis; D014655:Vascular Resistance; D016277:Ventricular Function, Left
keywords: Blood pressure; Left ventricular ejection time; Peak pressure; Pulse wave velocity; Systemic vascular resistance; Wave propagation