Literature DB >> 23104913

Similarities and differences between electrocardiogram signs of left bundle-branch block and left-ventricular uncoupling.

Mark Potse1, Dorian Krause, Ljuba Bacharova, Rolf Krause, Frits W Prinzen, Angelo Auricchio.   

Abstract

AIMS: A left bundle-branch block (LBBB) electrocardiogram (ECG) type may be caused by either a block in the left branch of the ventricular conduction system or by uncoupling in the working myocardium. We used a realistic large-scale computer model to evaluate the effects of uncoupling with and without left-sided block and in combination with biventricular pacing. METHODS AND
RESULTS: Action potential propagation was simulated using a reaction-diffusion model of the human ventricles. Electrocardiograms and cardiac electrograms were computed from the simulated action potentials by solving the bidomain equations. In all situations, diffuse uncoupling reduced QRS amplitude, prolonged QRS duration, and rotated the QRS axis leftward. Uncoupling by 50% increased QRS duration from 90 to 120 ms with a normal conduction system and from 140 to 190 ms when the left bundle branch was blocked. Biventricular pacing did not change QRS duration but reduced total ventricular activation time.
CONCLUSION: Uncoupling in the working myocardium can mimic left-sided block in the ventricular conduction system and can explain an LBBB ECG pattern with relatively low amplitude. Biventricular pacing improves ventricular activation in true LBBB with or without uncoupling but not in case of 50% uncoupling alone.

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Year:  2012        PMID: 23104913     DOI: 10.1093/europace/eus272

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  8 in total

1.  Implantable Cardioverter-Defibrillators With Versus Without Resynchronization Therapy in Patients With a QRS Duration >180 ms.

Authors:  Varun Sundaram; Jayakumar Sahadevan; Albert L Waldo; George J Stukenborg; Yogesh N V Reddy; Samuel J Asirvatham; Judith A Mackall; Anselma Intini; Brigid Wilson; Daniel I Simon; Kenneth C Bilchick
Journal:  J Am Coll Cardiol       Date:  2017-04-25       Impact factor: 24.094

2.  Vectorcardiography-derived index allows a robust quantification of ventricular electrical synchrony.

Authors:  Juan M F Fernández; Damián N Spagnuolo; María T Politi; Iván A Tello Santacruz; Miguel Schiavone; César Cáceres Monié; Horacio A Avaca; Osvaldo Chara
Journal:  Sci Rep       Date:  2022-06-15       Impact factor: 4.996

3.  Computer Modelling for Better Diagnosis and Therapy of Patients by Cardiac Resynchronisation Therapy.

Authors:  Marieke Pluijmert; Joost Lumens; Mark Potse; Tammo Delhaas; Angelo Auricchio; Frits W Prinzen
Journal:  Arrhythm Electrophysiol Rev       Date:  2015-03-10

Review 4.  Advances in modeling ventricular arrhythmias: from mechanisms to the clinic.

Authors:  Natalia A Trayanova; Patrick M Boyle
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-12-06

5.  Patient-specific modelling of cardiac electrophysiology in heart-failure patients.

Authors:  Mark Potse; Dorian Krause; Wilco Kroon; Romina Murzilli; Stefano Muzzarelli; François Regoli; Enrico Caiani; Frits W Prinzen; Rolf Krause; Angelo Auricchio
Journal:  Europace       Date:  2014-11       Impact factor: 5.214

Review 6.  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 7.  Computational models in cardiology.

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

Review 8.  Electrocardiographic Predictors of Cardiovascular Mortality.

Authors:  Ioana Mozos; Alexandru Caraba
Journal:  Dis Markers       Date:  2015-07-16       Impact factor: 3.434

  8 in total

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