Literature DB >> 34823858

Optimization of cardiac resynchronization therapy based on a cardiac electromechanics-perfusion computational model.

Lei Fan1, Jenny S Choy2, Farshad Raissi3, Ghassan S Kassab2, Lik Chuan Lee4.   

Abstract

Cardiac resynchronization therapy (CRT) is an established treatment for left bundle branch block (LBBB) resulting in mechanical dyssynchrony. Approximately 1/3 of patients with CRT, however, are non-responders. To understand factors affecting CRT response, an electromechanics-perfusion computational model based on animal-specific left ventricular (LV) geometry and coronary vascular networks located in the septum and LV free wall is developed. The model considers contractility-flow and preload-activation time relationships, and is calibrated to simultaneously match the experimental measurements in terms of the LV pressure, volume waveforms and total coronary flow in the left anterior descending and left circumflex territories from 2 swine models under right atrium and right ventricular pacing. The model is then applied to investigate the responses of CRT indexed by peak LV pressure and (dP/dt)max at multiple pacing sites with different degrees of perfusion in the LV free wall. Without the presence of ischemia, the model predicts that basal-lateral endocardial region is the optimal pacing site that can best improve (dP/dt)max by 20%, and is associated with the shortest activation time. In the presence of ischemia, a non-ischemic region becomes the optimal pacing site when coronary flow in the ischemic region fell below 30% of its original value. Pacing at the ischemic region produces little response at that perfusion level. The optimal pacing site is associated with one that optimizes the LV activation time. These findings suggest that CRT response is affected by both pacing site and coronary perfusion, which may have clinical implication in improving CRT responder rates.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cardiac resynchronization therapy; Computational modeling; Coronary perfusion; Left ventricular mechanics; Mechanical dyssynchrony

Mesh:

Year:  2021        PMID: 34823858      PMCID: PMC8810745          DOI: 10.1016/j.compbiomed.2021.105050

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  80 in total

1.  The effect of ventricular sequential contraction on helical heart during pacing: high septal pacing versus biventricular pacing.

Authors:  Hideyuki Tomioka; Oliver J Liakopoulos; Gerald D Buckberg; Nikola Hristov; Zhongtuo Tan; Georg Trummer
Journal:  Eur J Cardiothorac Surg       Date:  2006-03-24       Impact factor: 4.191

2.  Influence of left ventricular lead location on outcomes in the COMPANION study.

Authors:  Leslie A Saxon; Brian Olshansky; Kent Volosin; Jonathan S Steinberg; Byron K Lee; Gery Tomassoni; Thomas Guarnieri; Anupama Rao; Patrick Yong; Elizabeth Galle; Jill Leigh; Fred Ecklund; Michael R Bristow
Journal:  J Cardiovasc Electrophysiol       Date:  2009-02-27

3.  Prognostic role of coronary flow reserve for left ventricular functional improvement after cardiac resynchronization therapy in patients with dilated cardiomyopathy.

Authors:  Ana Djordjevic Dikic; Gabrijela Nikcevic; Srdjan Raspopovic; Velibor Jovanovic; Milorad Tesic; Branko Beleslin; Jelena Stepanovic; Vojislav Giga; Goran Milasinovic
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2014-07-22       Impact factor: 6.875

4.  Myocardial ischemia: lack of coronary blood flow, myocardial oxygen supply-demand imbalance, or what?

Authors:  Gerd Heusch
Journal:  Am J Physiol Heart Circ Physiol       Date:  2019-04-19       Impact factor: 4.733

5.  Consequences of regional inotropic stimulation of ischemic myocardium on regional myocardial blood flow and function in anesthetized swine.

Authors:  R Schulz; S Miyazaki; M Miller; E Thaulow; G Heusch; J Ross; B D Guth
Journal:  Circ Res       Date:  1989-06       Impact factor: 17.367

6.  Efficient preloading of the ventricles by a properly timed atrial contraction underlies stroke work improvement in the acute response to cardiac resynchronization therapy.

Authors:  Yuxuan Hu; Viatcheslav Gurev; Jason Constantino; Natalia Trayanova
Journal:  Heart Rhythm       Date:  2013-08-06       Impact factor: 6.343

7.  Biophysical modeling to simulate the response to multisite left ventricular stimulation using a quadripolar pacing lead.

Authors:  Steven A Niederer; A K Shetty; G Plank; J Bostock; R Razavi; N P Smith; C A Rinaldi
Journal:  Pacing Clin Electrophysiol       Date:  2011-10-31       Impact factor: 1.976

8.  Role of coronary flow regulation and cardiac-coronary coupling in mechanical dyssynchrony associated with right ventricular pacing.

Authors:  Lei Fan; Ravi Namani; Jenny S Choy; Yousif Awakeem; Ghassan S Kassab; Lik Chuan Lee
Journal:  Am J Physiol Heart Circ Physiol       Date:  2020-12-24       Impact factor: 4.733

Review 9.  Computational Modeling for Cardiac Resynchronization Therapy.

Authors:  Angela W C Lee; Caroline Mendonca Costa; Marina Strocchi; Christopher A Rinaldi; Steven A Niederer
Journal:  J Cardiovasc Transl Res       Date:  2018-01-11       Impact factor: 4.132

Review 10.  Interventional device implantation, Part I: Basic techniques to avoid complications: A hands-on approach.

Authors:  Fengwei Zou; Vijaywant Brar; Seth J Worley
Journal:  J Cardiovasc Electrophysiol       Date:  2020-10-19
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