Literature DB >> 15964924

Electromechanics of paced left ventricle simulated by straightforward mathematical model: comparison with experiments.

R C P Kerckhoffs1, O P Faris, P H M Bovendeerd, F W Prinzen, K Smits, E R McVeigh, T Arts.   

Abstract

Intraventricular synchrony of cardiac activation is important for efficient pump function. Ventricular pacing restores the beating frequency but induces more asynchronous depolarization and more inhomogeneous contraction than in the normal heart. We investigated whether the increased inhomogeneity in the left ventricle can be described by a relatively simple mathematical model of cardiac electromechanics, containing normal mechanical and impulse conduction properties. Simulations of a normal heartbeat and of pacing at the right ventricular apex (RVA) were performed. All properties in the two simulations were equal, except for the depolarization sequence. Simulation results of RVA pacing on local depolarization time and systolic midwall circumferential strain were compared with those measured in dogs, using an epicardial sock electrode and MRI tagging, respectively. We used the same methods for data processing for simulation and experiment. Model and experiment agreed in the following aspects. 1) Ventricular pacing decreased systolic pressure and ejection fraction relative to natural sinus rhythm. 2) Shortening during ejection and stroke work declined in early depolarized regions and increased in late depolarized regions. 3) The relation between epicardial depolarization time and systolic midwall circumferential strain was linear and similar for the simulation (slope = -3.80 +/- 0.28 s(-1), R2 = 0.87) and the experiments [slopes for 3 animals -2.62 +/- 0.43 s(-1) (R2 = 0.59), -2.97 +/- 0.38 s(-1) (R2 = 0.69), and -4.44 +/- 0.51 s(-1) (R2 = 0.76)]. We conclude that our model of electromechanics is suitable to simulate ventricular pacing and that the apparently complex events observed during pacing are caused by well-known basic physiological processes.

Entities:  

Mesh:

Year:  2005        PMID: 15964924      PMCID: PMC2396318          DOI: 10.1152/ajpheart.00340.2005

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  37 in total

1.  Simulation of mechanoenergetics of asynchronously contracting ventricle.

Authors:  H Suga; Y Goto; H Yaku; S Futaki; Y Ohgoshi; O Kawaguchi
Journal:  Am J Physiol       Date:  1990-11

2.  Redistribution of myocardial fiber strain and blood flow by asynchronous activation.

Authors:  F W Prinzen; C H Augustijn; T Arts; M A Allessie; R S Reneman
Journal:  Am J Physiol       Date:  1990-08

3.  Left ventricular endocardial activation during right ventricular pacing: effect of underlying heart disease.

Authors:  J A Vassallo; D M Cassidy; J M Miller; A E Buxton; F E Marchlinski; M E Josephson
Journal:  J Am Coll Cardiol       Date:  1986-06       Impact factor: 24.094

4.  Influence of central and peripheral changes on the hydraulic input impedance of the systemic arterial tree.

Authors:  N Westerhof; G Elzinga; G C van den Bos
Journal:  Med Biol Eng       Date:  1973-11

5.  Left ventricular pacing minimizes diastolic ventricular interaction, allowing improved preload-dependent systolic performance.

Authors:  R A Bleasdale; M S Turner; C E Mumford; P Steendijk; V Paul; J V Tyberg; J A Morris-Thurgood; M P Frenneaux
Journal:  Circulation       Date:  2004-10-11       Impact factor: 29.690

6.  Functional abnormalities in isolated left bundle branch block. The effect of interventricular asynchrony.

Authors:  C L Grines; T M Bashore; H Boudoulas; S Olson; P Shafer; C F Wooley
Journal:  Circulation       Date:  1989-04       Impact factor: 29.690

7.  Potential fields on the ventricular surface of the exposed dog heart during normal excitation.

Authors:  G Arisi; E Macchi; S Baruffi; S Spaggiari; B Taccardi
Journal:  Circ Res       Date:  1983-06       Impact factor: 17.367

8.  Effects of ventricular pacing on regional left ventricular performance in the dog.

Authors:  F R Badke; P Boinay; J W Covell
Journal:  Am J Physiol       Date:  1980-06

9.  Abnormalities of endocardial activation pattern in patients with previous healed myocardial infarction and ventricular tachycardia.

Authors:  J A Vassallo; D M Cassidy; F E Marchlinski; J M Miller; A E Buxton; M E Josephson
Journal:  Am J Cardiol       Date:  1986-09-01       Impact factor: 2.778

10.  Effects of ventricular pacing on finite deformation in canine left ventricles.

Authors:  L K Waldman; J W Covell
Journal:  Am J Physiol       Date:  1987-05
View more
  24 in total

1.  Coupling of a 3D finite element model of cardiac ventricular mechanics to lumped systems models of the systemic and pulmonic circulation.

Authors:  Roy C P Kerckhoffs; Maxwell L Neal; Quan Gu; James B Bassingthwaighte; Jeff H Omens; Andrew D McCulloch
Journal:  Ann Biomed Eng       Date:  2006-11-08       Impact factor: 3.934

Review 2.  Cardiac resynchronization: insight from experimental and computational models.

Authors:  R C P Kerckhoffs; J Lumens; K Vernooy; J H Omens; L J Mulligan; T Delhaas; T Arts; A D McCulloch; F W Prinzen
Journal:  Prog Biophys Mol Biol       Date:  2008-03-05       Impact factor: 3.667

3.  Combined identification of septal flash and absence of myocardial scar by cardiac magnetic resonance imaging improves prediction of response to cardiac resynchronization therapy.

Authors:  Manav Sohal; Sana Amraoui; Zhong Chen; Eva Sammut; Tom Jackson; Matthew Wright; Mark O'Neill; Jaswinder Gill; Gerald Carr-White; C Aldo Rinaldi; Reza Razavi
Journal:  J Interv Card Electrophysiol       Date:  2014-06-12       Impact factor: 1.900

4.  Electromechanical feedback with reduced cellular connectivity alters electrical activity in an infarct injured left ventricle: a finite element model study.

Authors:  Samuel T Wall; Julius M Guccione; Mark B Ratcliffe; Joakim S Sundnes
Journal:  Am J Physiol Heart Circ Physiol       Date:  2011-11-04       Impact factor: 4.733

5.  Global electrophysiological and hemodynamic assessment of ventricular pacing employing non-contact mapping.

Authors:  Nicholas D Skadsberg; Daniel R Kaiser; Trent M Fischer; Paul A Iaizzo
Journal:  J Interv Card Electrophysiol       Date:  2009-12       Impact factor: 1.900

6.  A single strain-based growth law predicts concentric and eccentric cardiac growth during pressure and volume overload.

Authors:  Roy C P Kerckhoffs; Jeffrey Omens; Andrew D McCulloch
Journal:  Mech Res Commun       Date:  2011-11-22       Impact factor: 2.254

7.  Ventricular dilation and electrical dyssynchrony synergistically increase regional mechanical nonuniformity but not mechanical dyssynchrony: a computational model.

Authors:  Roy C P Kerckhoffs; Jeffrey H Omens; Andrew D McCulloch; Lawrence J Mulligan
Journal:  Circ Heart Fail       Date:  2010-05-13       Impact factor: 8.790

Review 8.  Whole-heart modeling: applications to cardiac electrophysiology and electromechanics.

Authors:  Natalia A Trayanova
Journal:  Circ Res       Date:  2011-01-07       Impact factor: 17.367

9.  Effects of biventricular pacing and scar size in a computational model of the failing heart with left bundle branch block.

Authors:  Roy C P Kerckhoffs; Andrew D McCulloch; Jeffrey H Omens; Lawrence J Mulligan
Journal:  Med Image Anal       Date:  2008-07-04       Impact factor: 8.545

10.  Computational modeling for bedside application.

Authors:  Roy C P Kerckhoffs; Sanjiv M Narayan; Jeffrey H Omens; Lawrence J Mulligan; Andrew D McCulloch
Journal:  Heart Fail Clin       Date:  2008-07       Impact factor: 3.179

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.