Literature DB >> 17959695

Atrial fibrillatory cycle length: computer simulation and potential clinical importance.

Michel Haissaguerre1, Kang-Teng Lim, Vincent Jacquemet, Martin Rotter, Lam Dang, Mélèze Hocini, Seiichiro Matsuo, Sébastian Knecht, Pierre Jaïs, Nathalie Virag.   

Abstract

AIMS: Atrial fibrillatory cycle length (AFCL) is generally accepted as a surrogate marker for local refractoriness. In this study, a computer model and clinical data on human subjects undergoing catheter ablation for paroxysmal and persistent AF were used to determine the clinical potential of AFCL. METHODS AND
RESULTS: Simulations were performed in a biophysical computer model of AF, induced from eight simultaneously active focal sources. Atrial fibrillatory cycle length persistence and termination were assessed in response to successively switching off the involvement of the eight sources. Electrophysiological data were obtained from 178 subjects undergoing catheter ablation of AF. Atrial fibrillatory cycle length, measured in the atria appendages using automated monitoring software, was studied to determine its clinical correlation, the complexity of the ablation procedure, and the AF termination success rate. Computer simulations showed an inverse relationship between the number of sources participating in AF maintenance and AFCL. Clinical data demonstrated a strong relationship between duration, degree of ablation, and AFCL, with shorter AFCL associated with more extensive ablation to terminate AF. Atrial fibrillatory cycle length was prolonged exponentially at each stage, with a critical cycle length of approximately 200 ms for AF conversion.
CONCLUSION: Atrial fibrillatory cycle length is inversely associated with the number of sources participating in AF maintenance observed in the computer model. In addition, AFCL is an important predictor of baseline duration of the arrhythmia, type of AF, and ease of catheter ablation therapy to terminate AF.

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Year:  2007        PMID: 17959695     DOI: 10.1093/europace/eum208

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


  26 in total

Review 1.  Computational modeling of the human atrial anatomy and electrophysiology.

Authors:  Olaf Dössel; Martin W Krueger; Frank M Weber; Mathias Wilhelms; Gunnar Seemann
Journal:  Med Biol Eng Comput       Date:  2012-06-21       Impact factor: 2.602

Review 2.  Lessons from computer simulations of ablation of atrial fibrillation.

Authors:  Vincent Jacquemet
Journal:  J Physiol       Date:  2016-03-04       Impact factor: 5.182

3.  A two layers monodomain model of cardiac electrophysiology of the atria.

Authors:  Yves Coudière; Jacques Henry; Simon Labarthe
Journal:  J Math Biol       Date:  2015-03-15       Impact factor: 2.259

Review 4.  Thinking outside the Box: Rotor Modulation in the Treatment of Atrial Fibrillation.

Authors:  Ruchir Sehra; Sanjiv M Narayan; John Hummel
Journal:  J Atr Fibrillation       Date:  2013-06-30

Review 5.  Is extensive atrial fibrosis in the setting of heart failure associated with a reduced atrial fibrillation burden?

Authors:  Alexander Burashnikov; Charles Antzelevitch
Journal:  Pacing Clin Electrophysiol       Date:  2018-09-09       Impact factor: 1.976

6.  Non-invasive identification of stable rotors and focal sources for human atrial fibrillation: mechanistic classification of atrial fibrillation from the electrocardiogram.

Authors:  Aled R Jones; David E Krummen; Sanjiv M Narayan
Journal:  Europace       Date:  2013-02-28       Impact factor: 5.214

Review 7.  Anti-arrhythmic strategies for atrial fibrillation: The role of computational modeling in discovery, development, and optimization.

Authors:  Eleonora Grandi; Mary M Maleckar
Journal:  Pharmacol Ther       Date:  2016-09-06       Impact factor: 12.310

8.  A three-dimensional finite element model of human atrial anatomy: new methods for cubic Hermite meshes with extraordinary vertices.

Authors:  Matthew J Gonzales; Gregory Sturgeon; Adarsh Krishnamurthy; Johan Hake; René Jonas; Paul Stark; Wouter-Jan Rappel; Sanjiv M Narayan; Yongjie Zhang; W Paul Segars; Andrew D McCulloch
Journal:  Med Image Anal       Date:  2013-03-21       Impact factor: 8.545

9.  Impact of baseline atrial fibrillation cycle length on acute and long-term outcome of persistent atrial fibrillation ablation.

Authors:  S Ammar; G Hessling; M Paulik; T Reents; R Dillier; A Buiatti; V Semmler; C Kolb; B Haller; I Deisenhofer
Journal:  J Interv Card Electrophysiol       Date:  2014-07-10       Impact factor: 1.900

10.  Panoramic electrophysiological mapping but not electrogram morphology identifies stable sources for human atrial fibrillation: stable atrial fibrillation rotors and focal sources relate poorly to fractionated electrograms.

Authors:  Sanjiv M Narayan; Kalyanam Shivkumar; David E Krummen; John M Miller; Wouter-Jan Rappel
Journal:  Circ Arrhythm Electrophysiol       Date:  2013-02-07
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