Literature DB >> 20348028

Tunnel propagation following defibrillation with ICD shocks: hidden postshock activations in the left ventricular wall underlie isoelectric window.

Jason Constantino1, Yun Long, Takashi Ashihara, Natalia A Trayanova.   

Abstract

BACKGROUND: After near-defibrillation threshold (DFT) shocks from an implantable cardioverter-defibrillator (ICD), the first postshock activation that leads to defibrillation failure arises focally after an isoelectric window (IW). The mechanisms underlying the IW remain incompletely understood.
OBJECTIVE: The goal of this study was to provide mechanistic insight into the origins of postshock activations and IW after ICD shocks, and to link shock outcome to the preshock state of the ventricles. We hypothesized that the nonuniform ICD field results in the formation of an intramural excitable area (tunnel) only in the left ventricular (LV) free wall, through which both pre-existing and new shock-induced wavefronts propagate during the IW.
METHODS: Simulations were conducted using a realistic three dimensional (3D) model of defibrillation in the rabbit ventricles. Biphasic ICD shocks of varying strengths were delivered to 27 different fibrillatory states.
RESULTS: After near-DFT shocks, regardless of preshock state, the main postshock excitable area was always located within LV free wall, creating an intramural tunnel. Either pre-existing fibrillatory or shock-induced wavefronts propagated during the IW (duration of up to 74 ms) in this tunnel and emerged as breakthroughs on LV epicardium. Preshock activity within the LV played a significant role in shock outcome: a large number of preshock filaments resulted in an IW associated with tunnel propagation of pre-existing rather than shock-induced wavefronts. Furthermore, shocks were more likely to succeed if the LV excitable area was smaller.
CONCLUSION: The LV intramural excitable area is the primary reason for near-DFT failure. Any intervention that decreases the extent of this area will improve the likelihood of defibrillation success. Copyright 2010 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2010        PMID: 20348028      PMCID: PMC2908526          DOI: 10.1016/j.hrthm.2010.03.026

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  20 in total

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2.  Three-dimensional mapping of earliest activation after near-threshold ventricular defibrillation shocks.

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Journal:  J Cardiovasc Electrophysiol       Date:  2003-01

Review 3.  Virtual electrode-induced positive and negative graded responses: new insights into fibrillation induction and defibrillation.

Authors:  Natalia A Trayanova; Richard A Gray; David W Bourn; James C Eason
Journal:  J Cardiovasc Electrophysiol       Date:  2003-07

4.  Three-dimensional potential gradient fields generated by intracardiac catheter and cutaneous patch electrodes.

Authors:  A S Tang; P D Wolf; Y Afework; W M Smith; R E Ideker
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5.  Relationship of left ventricular mass to defibrillation threshold for the implantable defibrillator: a combined clinical and animal study.

Authors:  P D Chapman; K B Sagar; J N Wetherbee; P J Troup
Journal:  Am Heart J       Date:  1987-08       Impact factor: 4.749

6.  Mechanism of ventricular defibrillation for near-defibrillation threshold shocks: a whole-heart optical mapping study in swine.

Authors:  N Chattipakorn; I Banville; R A Gray; R E Ideker
Journal:  Circulation       Date:  2001-09-11       Impact factor: 29.690

7.  Termination of spiral waves with biphasic shocks: role of virtual electrode polarization.

Authors:  C Anderson; N Trayanova; K Skouibine
Journal:  J Cardiovasc Electrophysiol       Date:  2000-12

8.  Myocardial dysfunction after electrical defibrillation.

Authors:  Hitoshi Yamaguchi; Max Weil; Wanchun Tang; Takashi Kamohara; Xiaohua Jin; Joe Bisera
Journal:  Resuscitation       Date:  2002-09       Impact factor: 5.262

9.  Activation during ventricular defibrillation in open-chest dogs. Evidence of complete cessation and regeneration of ventricular fibrillation after unsuccessful shocks.

Authors:  P S Chen; N Shibata; E G Dixon; P D Wolf; N D Danieley; M B Sweeney; W M Smith; R E Ideker
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10.  Mechanistic inquiry into decrease in probability of defibrillation success with increase in complexity of preshock reentrant activity.

Authors:  Matthew G Hillebrenner; James C Eason; Natalia A Trayanova
Journal:  Am J Physiol Heart Circ Physiol       Date:  2003-11-06       Impact factor: 4.733

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  19 in total

Review 1.  Mechanisms of defibrillation.

Authors:  Derek J Dosdall; Vladimir G Fast; Raymond E Ideker
Journal:  Annu Rev Biomed Eng       Date:  2010-08-15       Impact factor: 9.590

2.  Reversible cardiac conduction block and defibrillation with high-frequency electric field.

Authors:  Harikrishna Tandri; Seth H Weinberg; Kelly C Chang; Renjun Zhu; Natalia A Trayanova; Leslie Tung; Ronald D Berger
Journal:  Sci Transl Med       Date:  2011-09-28       Impact factor: 17.956

Review 3.  Modeling defibrillation of the heart: approaches and insights.

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Journal:  IEEE Rev Biomed Eng       Date:  2011

4.  Atrial defibrillation voltage: falling to a new low.

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Review 5.  How computer simulations of the human heart can improve anti-arrhythmia therapy.

Authors:  Natalia A Trayanova; Kelly C Chang
Journal:  J Physiol       Date:  2016-01-18       Impact factor: 5.182

Review 6.  New insights into defibrillation of the heart from realistic simulation studies.

Authors:  Natalia A Trayanova; Lukas J Rantner
Journal:  Europace       Date:  2014-05       Impact factor: 5.214

7.  Placement of implantable cardioverter-defibrillators in paediatric and congenital heart defect patients: a pipeline for model generation and simulation prediction of optimal configurations.

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Journal:  J Physiol       Date:  2013-06-24       Impact factor: 5.182

8.  The effect of pinacidil on postshock activation and ventricular defibrillation threshold in canine hearts.

Authors:  Qi Jin; Ning Zhang; Jian Zhou; Chang-jian Lin; Yang Pang; Gang Gu; Wei-feng Shen; Li-Qun Wu
Journal:  Acta Pharmacol Sin       Date:  2012-10-15       Impact factor: 6.150

9.  Opsin spectral sensitivity determines the effectiveness of optogenetic termination of ventricular fibrillation in the human heart: a simulation study.

Authors:  Thomas V Karathanos; Jason D Bayer; Dafang Wang; Patrick M Boyle; Natalia A Trayanova
Journal:  J Physiol       Date:  2016-04-24       Impact factor: 5.182

Review 10.  Computational cardiology: how computer simulations could be used to develop new therapies and advance existing ones.

Authors:  Natalia A Trayanova; Thomas O'Hara; Jason D Bayer; Patrick M Boyle; Kathleen S McDowell; Jason Constantino; Hermenegild J Arevalo; Yuxuan Hu; Fijoy Vadakkumpadan
Journal:  Europace       Date:  2012-11       Impact factor: 5.214

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