Literature DB >> 15863115

Analytical modeling of the instantaneous pressure gradient across the aortic valve.

Damien Garcia1, Philippe Pibarot, Louis-Gilles Durand.   

Abstract

Aortic stenosis is the most frequent valvular heart disease. The mean systolic value of the transvalvular pressure gradient (TPG) is commonly utilized during clinical examination to evaluate its severity and it can be determined either by cardiac catheterization or by Doppler echocardiography. TPG is highly time-dependent over systole and is known to depend upon the transvalvular flow rate, the effective orifice area (EOA) of the aortic valve and the cross-sectional area of the ascending aorta. However it is still unclear how these parameters modify the TPG waveform. We thus derived a simple analytical model from the energy loss concept to describe the instantaneous TPG across the aortic valve during systole. This theoretical model was validated with orifice plates and bioprosthetic heart valves in an in vitro aortic flow model. Instantaneous TPG was measured by catheter and its waveform was compared with the one determined from the transvalvular flow rate, the valvular EOA and the aortic cross-sectional area, using the derived equation. Our results showed a very good concordance between the measured and predicted instantaneous TPG. The analytical model proposed and validated in this study provides a comprehensive description of the aortic valve hemodynamics that can be used to accurately predict the instantaneous transvalvular pressure gradient in native and bioprosthetic aortic valves. The consideration of this model suggests that: (1) TPG waveform is exclusively dependent upon transvalvular flow rate and flow geometry, (2) the frequently applied simplified Bernoulli equation may overestimate mean TPG by more than 30% and (3) the measurement of ejection time by cardiac catheterization may underestimate the actual ejection time, especially in patients with mild/moderate aortic stenosis and low cardiac output.

Entities:  

Mesh:

Year:  2005        PMID: 15863115     DOI: 10.1016/j.jbiomech.2004.06.018

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  9 in total

1.  Multi-scale modeling of the human cardiovascular system with applications to aortic valvular and arterial stenoses.

Authors:  Fuyou Liang; Shu Takagi; Ryutaro Himeno; Hao Liu
Journal:  Med Biol Eng Comput       Date:  2009-02-07       Impact factor: 2.602

2.  Derivation of a simplified relation for assessing aortic root pressure drop incorporating wall compliance.

Authors:  Hossein Mohammadi; Raymond Cartier; Rosaire Mongrain
Journal:  Med Biol Eng Comput       Date:  2014-11-28       Impact factor: 2.602

3.  Reduced order models for transstenotic pressure drop in the coronary arteries.

Authors:  Mehran Mirramezani; Scott Diamond; Harold Litt; Shawn C Shadden
Journal:  J Biomech Eng       Date:  2018-12-05       Impact factor: 2.097

4.  Hemodynamic changes following aortic valve bypass: a mathematical approach.

Authors:  Emilia Benevento; Abdelghani Djebbari; Zahra Keshavarz-Motamed; Renzo Cecere; Lyes Kadem
Journal:  PLoS One       Date:  2015-04-16       Impact factor: 3.240

5.  Non-invasive determination of left ventricular workload in patients with aortic stenosis using magnetic resonance imaging and Doppler echocardiography.

Authors:  Zahra Keshavarz-Motamed; Julio Garcia; Emmanuel Gaillard; Romain Capoulade; Florent Le Ven; Guy Cloutier; Lyes Kadem; Philippe Pibarot
Journal:  PLoS One       Date:  2014-01-28       Impact factor: 3.240

6.  Beyond Bernoulli: Improving the Accuracy and Precision of Noninvasive Estimation of Peak Pressure Drops.

Authors:  Fabrizio Donati; Saul Myerson; Malenka M Bissell; Nicolas P Smith; Stefan Neubauer; Mark J Monaghan; David A Nordsletten; Pablo Lamata
Journal:  Circ Cardiovasc Imaging       Date:  2017-01       Impact factor: 7.792

7.  Integrated strategy for in vitro characterization of a bileaflet mechanical aortic valve.

Authors:  Francesca Maria Susin; Stefania Espa; Riccardo Toninato; Stefania Fortini; Giorgio Querzoli
Journal:  Biomed Eng Online       Date:  2017-02-16       Impact factor: 2.819

8.  Non-invasive Assessment of Systolic and Diastolic Cardiac Function During Rest and Stress Conditions Using an Integrated Image-Modeling Approach.

Authors:  Belén Casas; Federica Viola; Gunnar Cedersund; Ann F Bolger; Matts Karlsson; Carl-Johan Carlhäll; Tino Ebbers
Journal:  Front Physiol       Date:  2018-10-30       Impact factor: 4.566

9.  Exergy Analysis of the Heart with a Stenosis in the Arterial Valve.

Authors:  Julio Brandão Roll; Matheus Leone Borges; Carlos Eduardo Keutenedjian Mady; Silvio de Oliveira Junior
Journal:  Entropy (Basel)       Date:  2019-06-04       Impact factor: 2.524

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.