Literature DB >> 26577102

Pulse Wave Velocity Prediction and Compliance Assessment in Elastic Arterial Segments.

Jeffrey S Lillie1, Alexander S Liberson1, Doran Mix2, Karl Q Schwarz2, Ankur Chandra2, Daniel B Phillips1, Steven W Day1, David A Borkholder3,4.   

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.

Entities:  

Keywords:  Blood pressure; Left ventricular ejection time; Peak pressure; Pulse wave velocity; Systemic vascular resistance; Wave propagation

Mesh:

Year:  2014        PMID: 26577102     DOI: 10.1007/s13239-014-0202-x

Source DB:  PubMed          Journal:  Cardiovasc Eng Technol        ISSN: 1869-408X            Impact factor:   2.495


  6 in total

1.  Detecting Regional Stiffness Changes in Aortic Aneurysmal Geometries Using Pressure-Normalized Strain.

Authors:  Doran S Mix; Ling Yang; Camille C Johnson; Nathan Couper; Ben Zarras; Isaac Arabadjis; Lauren E Trakimas; Michael C Stoner; Steven W Day; Michael S Richards
Journal:  Ultrasound Med Biol       Date:  2017-07-17       Impact factor: 2.998

2.  Baseline Cardiovascular Characteristics of Adult Patients with Chronic Kidney Disease from the KoreaN Cohort Study for Outcomes in Patients With Chronic Kidney Disease (KNOW-CKD).

Authors:  Hyoungnae Kim; Tae Hyun Yoo; Kyu Hun Choi; Kook Hwan Oh; Joongyub Lee; Soo Wan Kim; Tae Hee Kim; Suah Sung; Seung Hyeok Han
Journal:  J Korean Med Sci       Date:  2017-02       Impact factor: 2.153

3.  A structural approach to 3D-printing arterial phantoms with physiologically comparable mechanical characteristics: Preliminary observations.

Authors:  Bruce Guest; Luis Arroyo; John Runciman
Journal:  Proc Inst Mech Eng H       Date:  2022-08-01       Impact factor: 1.763

4.  Effects of cardiac timing and peripheral resistance on measurement of pulse wave velocity for assessment of arterial stiffness.

Authors:  Hanguang Xiao; Mark Butlin; Isabella Tan; Alberto Avolio
Journal:  Sci Rep       Date:  2017-07-20       Impact factor: 4.379

5.  Manufacturing Abdominal Aorta Hydrogel Tissue-Mimicking Phantoms for Ultrasound Elastography Validation.

Authors:  Doran S Mix; Michael C Stoner; Steven W Day; Michael S Richards
Journal:  J Vis Exp       Date:  2018-09-19       Impact factor: 1.355

6.  In-Home Cardiovascular Monitoring System for Heart Failure: Comparative Study.

Authors:  Nicholas J Conn; Karl Q Schwarz; David A Borkholder
Journal:  JMIR Mhealth Uhealth       Date:  2019-01-18       Impact factor: 4.773

  6 in total

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