Literature DB >> 23354078

Defibrillation success with high frequency electric fields is related to degree and location of conduction block.

Seth H Weinberg1, Kelly C Chang, Renjun Zhu, Harikrishna Tandri, Ronald D Berger, Natalia A Trayanova, Leslie Tung.   

Abstract

BACKGROUND: We recently demonstrated that high frequency alternating current (HFAC) electric fields can reversibly block propagation in the heart by inducing an oscillating, elevated transmembrane potential (Vm) that maintains myocytes in a refractory state for the field duration and can terminate arrhythmias, including ventricular fibrillation (VF).
OBJECTIVES: To quantify and characterize conduction block (CB) induced by HFAC fields and to determine whether the degree of CB can be used to predict defibrillation success.
METHODS: Optical mapping was performed in adult guinea pig hearts (n = 14), and simulations were performed in an anatomically accurate rabbit ventricular model. HFAC fields (50-500 Hz) were applied to the ventricles. A novel power spectrum metric of CB-the loss of spectral power in the 1-30 Hz range, termed loss of conduction power (LCP)-was assessed during the HFAC field and compared with defibrillation success and VF vulnerability.
RESULTS: LCP increased with field strength and decreased with frequency. Optical mapping experiments conducted on the epicardial surface showed that LCP and the size of CB regions were significantly correlated with VF initiation and termination. In simulations, subsurface myocardial LCP and CB sizes were more closely correlated with VF termination than surface values. Multilinear regression analysis of simulation results revealed that while CB on both the surface and the subsurface myocardium was predictive, subsurface myocardial CB was the better predictor of defibrillation success.
CONCLUSIONS: HFAC fields induce a field-dependent state of CB, and defibrillation success is related to the degree and location of the CB.
Copyright © 2013. Published by Elsevier Inc.

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Year:  2013        PMID: 23354078     DOI: 10.1016/j.hrthm.2013.01.016

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


  10 in total

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

Review 2.  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

3.  During Early VF in Rabbit Hearts, His Bundle Pacing is Less Effective Than Working Myocardial Pacing in Modulating Left Ventricular Activation Rates.

Authors:  Ankur R Shah; Muhammad S Khan; Matthias Lange; Annie M Hirahara; Gregory Stoddard; Ravi Ranjan; Derek J Dosdall
Journal:  Cardiovasc Eng Technol       Date:  2021-11-23       Impact factor: 2.305

Review 4.  Computational rabbit models to investigate the initiation, perpetuation, and termination of ventricular arrhythmia.

Authors:  Hermenegild J Arevalo; Patrick M Boyle; Natalia A Trayanova
Journal:  Prog Biophys Mol Biol       Date:  2016-06-19       Impact factor: 3.667

5.  Tetanizing prepulse: A novel strategy to mitigate implantable cardioverter-defibrillator shock-related pain.

Authors:  David W Hunter; Harikrishna Tandri; Henry Halperin; Leslie Tung; Ronald D Berger
Journal:  Heart Rhythm       Date:  2016-01-06       Impact factor: 6.343

Review 6.  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

7.  A real-time system for selectively sensing and pacing the His-bundle during sinus rhythm and ventricular fibrillation.

Authors:  Ankur R Shah; Muhammad S Khan; Annie M Hirahara; Matthias Lange; Ravi Ranjan; Derek J Dosdall
Journal:  Biomed Eng Online       Date:  2020-04-10       Impact factor: 2.819

8.  Patterned Illumination Techniques in Optogenetics: An Insight Into Decelerating Murine Hearts.

Authors:  Laura Diaz-Maue; Janna Steinebach; Claudia Richter
Journal:  Front Physiol       Date:  2022-01-11       Impact factor: 4.566

9.  High-frequency stimulation of excitable cells and networks.

Authors:  Seth H Weinberg
Journal:  PLoS One       Date:  2013-11-20       Impact factor: 3.240

10.  Stabilization of Weakly Unstable Fixed Points as a Common Dynamical Mechanism of High-Frequency Electrical Stimulation.

Authors:  Dan Wilson
Journal:  Sci Rep       Date:  2020-04-03       Impact factor: 4.379

  10 in total

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