Literature DB >> 15282487

The peak atrioventricular pressure gradient to transmitral flow relation: kinematic model prediction with in vivo validation.

Lisa Bauman1, Charles S Chung, Mustafa Karamanoglu, Sándor J Kovács.   

Abstract

Physiologists and cardiologists estimate peak transvalvular pressure gradients (DeltaP) by Doppler echocardiographic imaging of peak flow velocities using the simplified Bernoulli relationship: DeltaP (mm Hg) = 4V(2) (m/s). Because left ventricular filling is initiated by mechanical suction, V can be predicted by the motion of a simple harmonic oscillator by the parametrized diastolic filling formalism that characterizes E-wave contours by 3 unique simple harmonic oscillator parameters: initial displacement (x(o) cm); spring constant (k g/s(2)); and damping constant (c g/s). Parametrized diastolic filling predicts peak atrioventricular pressure gradient as kx(o), the peak simple harmonic oscillator force. For validation, simultaneous (micromanometric) left ventricular pressure and E-wave data from 19 patients were analyzed. Model-predicted peak gradient (kx(o)) was compared with actual gradient (DeltaP(cath)) and with 4V(2). Multiple linear regression results for all patients yielded highly significant relation between kx(o) and DeltaP(cath) (kx(o) = m(1)DeltaP(cath) + b(1), where m(1) = 40.7 +/- 8.0 dyne/mm Hg, b(1) = 1540 +/- 116 dyne, r(2) = 0.97, P <.001). Regression analysis showed no significant correlation between 4V(2) and DeltaP(cath) (4V(2) = m(2)DeltaP(cath) + b(2), where m(2) = 0.01 +/- 0.03, m(2)/s(2)/mm Hg and b(2) = 2.07 +/- 0.44 m(2)/s(2), P = nonsignificant). We conclude that E-wave analysis by parametrized diastolic filling predicts peak atrioventricular gradients reliably and more accurately than 4V(2).

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Year:  2004        PMID: 15282487     DOI: 10.1016/j.echo.2004.04.017

Source DB:  PubMed          Journal:  J Am Soc Echocardiogr        ISSN: 0894-7317            Impact factor:   5.251


  6 in total

1.  The Challenge of Chamber Stiffness Determination in Chronic Atrial Fibrillation vs. Normal Sinus Rhythm: Echocardiographic Prediction with Simultaneous Hemodynamic Validation.

Authors:  Sina Mossahebi; Leonid Shmuylovich; Sándor J Kovács
Journal:  J Atr Fibrillation       Date:  2013-10-31

2.  Quantification of global diastolic function by kinematic modeling-based analysis of transmitral flow via the parametrized diastolic filling formalism.

Authors:  Sina Mossahebi; Simeng Zhu; Howard Chen; Leonid Shmuylovich; Erina Ghosh; Sándor J Kovács
Journal:  J Vis Exp       Date:  2014-09-01       Impact factor: 1.355

3.  The diastolic function to cyclic variation of myocardial ultrasonic backscatter relation: the influence of parameterized diastolic filling (PDF) formalism determined chamber properties.

Authors:  Christopher W Lloyd; Leonid Shmuylovich; Mark R Holland; James G Miller; Sándor J Kovács
Journal:  Ultrasound Med Biol       Date:  2011-06-16       Impact factor: 2.998

4.  Diastolic Function in Normal Sinus Rhythm vs. Chronic Atrial Fibrillation: Comparison by Fractionation of E-wave Deceleration Time into Stiffness and Relaxation Components.

Authors:  Sina Mossahebi; Sándor J Kovács
Journal:  J Atr Fibrillation       Date:  2014-04-30

5.  The isovolumic relaxation to early rapid filling relation: kinematic model based prediction with in vivo validation.

Authors:  Sina Mossahebi; Sándor J Kovács
Journal:  Physiol Rep       Date:  2014-03-20

6.  Kinematic analysis of diastolic function using the freely available software Echo E-waves - feasibility and reproducibility.

Authors:  Martin G Sundqvist; Katrin Salman; Per Tornvall; Martin Ugander
Journal:  BMC Med Imaging       Date:  2016-10-27       Impact factor: 1.930

  6 in total

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