Literature DB >> 26136400

Beneficial Effect on Cardiac Resynchronization From Left Ventricular Endocardial Pacing Is Mediated by Early Access to High Conduction Velocity Tissue: Electrophysiological Simulation Study.

Eoin R Hyde1, Jonathan M Behar1, Simon Claridge1, Tom Jackson1, Angela W C Lee1, Espen W Remme1, Manav Sohal1, Gernot Plank1, Reza Razavi1, Christopher A Rinaldi1, Steven A Niederer2.   

Abstract

BACKGROUND: Cardiac resynchronization therapy (CRT) delivered via left ventricular (LV) endocardial pacing (ENDO-CRT) is associated with improved acute hemodynamic response compared with LV epicardial pacing (EPI-CRT). The role of cardiac anatomy and physiology in this improved response remains controversial. We used computational electrophysiological models to quantify the role of cardiac geometry, tissue anisotropy, and the presence of fast endocardial conduction on myocardial activation during ENDO-CRT and EPI-CRT. METHODS AND
RESULTS: Cardiac activation was simulated using the monodomain tissue excitation model in 2-dimensional (2D) canine and human and 3D canine biventricular models. The latest activation times (LATs) for LV endocardial and biventricular epicardial tissue were calculated (LVLAT and TLAT), as well the percentage decrease in LATs for endocardial (en) versus epicardial (ep) LV pacing (defined as %dLV=100×(LVLATep-LVLATen)/LVLATep and %dT=100×(TLATep-TLATen)/TLATep, respectively). Normal canine cardiac anatomy is responsible for %dLV and %dT values of 7.4% and 5.5%, respectively. Concentric and eccentric remodeled anatomies resulted in %dT values of 15.6% and 1.3%, respectively. The 3D biventricular-paced canine model resulted in %dLV and %dT values of -7.1% and 1.5%, in contrast to the experimental observations of 16% and 11%, respectively. Adding fast endocardial conduction to this model altered %dLV and %dT to 13.1% and 10.1%, respectively.
CONCLUSIONS: Our results provide a physiological explanation for improved response to ENDO-CRT. We predict that patients with viable fast-conducting endocardial tissue or distal Purkinje network or both, as well as concentric remodeling, are more likely to benefit from reduced ATs and increased synchrony arising from endocardial pacing.
© 2015 American Heart Association, Inc.

Entities:  

Keywords:  cardiac resynchronization therapy; electric stimulation; electrophysiology; heart failure; heart ventricles

Mesh:

Year:  2015        PMID: 26136400     DOI: 10.1161/CIRCEP.115.002677

Source DB:  PubMed          Journal:  Circ Arrhythm Electrophysiol        ISSN: 1941-3084


  18 in total

1.  Left ventricular endocardial pacing for the critically ill.

Authors:  C A Rinaldi; A Auricchio; F W Prinzen
Journal:  Intensive Care Med       Date:  2018-01-19       Impact factor: 17.440

2.  Electrical latency predicts the optimal left ventricular endocardial pacing site: results from a multicentre international registry.

Authors:  Benjamin J Sieniewicz; Jonathan M Behar; Manav Sohal; Justin Gould; Simon Claridge; Bradley Porter; Steve Niederer; James H P Gamble; Tim R Betts; Pierre Jais; Nicolas Derval; David D Spragg; Paul Steendijk; Berry M van Gelder; Frank A Bracke; Christopher A Rinaldi
Journal:  Europace       Date:  2018-12-01       Impact factor: 5.214

3.  Computational electrophysiology of the coronary sinus branches based on electro-anatomical mapping for the prediction of the latest activated region.

Authors:  Christian Vergara; Simone Stella; Massimiliano Maines; Pasquale Claudio Africa; Domenico Catanzariti; Cristina Demattè; Maurizio Centonze; Fabio Nobile; Alfio Quarteroni; Maurizio Del Greco
Journal:  Med Biol Eng Comput       Date:  2022-06-21       Impact factor: 3.079

4.  A rapid electromechanical model to predict reverse remodeling following cardiac resynchronization therapy.

Authors:  Pim J A Oomen; Thien-Khoi N Phung; Seth H Weinberg; Kenneth C Bilchick; Jeffrey W Holmes
Journal:  Biomech Model Mechanobiol       Date:  2021-11-24

Review 5.  Using physiologically based models for clinical translation: predictive modelling, data interpretation or something in-between?

Authors:  Steven A Niederer; Nic P Smith
Journal:  J Physiol       Date:  2016-07-03       Impact factor: 5.182

6.  Analysis of Microstructure of the Cardiac Conduction System Based on Three-Dimensional Confocal Microscopy.

Authors:  Daniel Romero; Oscar Camara; Frank Sachse; Rafael Sebastian
Journal:  PLoS One       Date:  2016-10-07       Impact factor: 3.240

7.  Optimized Left Ventricular Endocardial Stimulation Is Superior to Optimized Epicardial Stimulation in Ischemic Patients With Poor Response to Cardiac Resynchronization Therapy: A Combined Magnetic Resonance Imaging, Electroanatomic Contact Mapping, and Hemodynamic Study to Target Endocardial Lead Placement.

Authors:  Jonathan M Behar; Tom Jackson; Eoin Hyde; Simon Claridge; Jaswinder Gill; Julian Bostock; Manav Sohal; Bradley Porter; Mark O'Neill; Reza Razavi; Steve Niederer; Christopher Aldo Rinaldi
Journal:  JACC Clin Electrophysiol       Date:  2016-12

Review 8.  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 9.  Computational models in cardiology.

Authors:  Steven A Niederer; Joost Lumens; Natalia A Trayanova
Journal:  Nat Rev Cardiol       Date:  2019-02       Impact factor: 32.419

10.  Improvement of Right Ventricular Hemodynamics with Left Ventricular Endocardial Pacing during Cardiac Resynchronization Therapy.

Authors:  Eoin R Hyde; Jonathan M Behar; Andrew Crozier; Simon Claridge; Tom Jackson; Manav Sohal; Jaswinder S Gill; Mark D O'Neill; Reza Razavi; Steven A Niederer; Christopher A Rinaldi
Journal:  Pacing Clin Electrophysiol       Date:  2016-05-09       Impact factor: 1.976

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.