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Europace 2007 9(Supplement 6):vi64-vi70; doi:10.1093/europace/eum208
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© The European Society of Cardiology 2007. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org

Atrial fibrillatory cycle length: computer simulation and potential clinical importance

Michel Haissaguerre1,*, Kang-Teng Lim1, Vincent Jacquemet2, Martin Rotter1, Lam Dang2, Mélèze Hocini1, Seiichiro Matsuo1, Sébastian Knecht1, Pierre Jaïs1 and Nathalie Virag3

1 Hôpital Cardiologique du Haut-Lévêque and University of Bordeaux II, Bordeaux, France; 2 Signal Processing Institute, Swiss Federal Institute of Technology, Lausanne, Switzerland; 3 Medtronic Europe, Tolochenaz, Switzerland

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 ~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.

Key Words: Atrial fibrillation, Cycle length, Computer stimulation, Catheter ablation


* Corresponding author. Tel; +33 5 57 65 64 71; fax: +33 5 57 65 65 09. E-mail address: jacques.clementy{at}pu.u-bordeaux2.fr


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