Artigo Acesso aberto Revisado por pares

A simple mechanism underlying the behavior of reentrant atrial tachycardia during ablation

2018; Elsevier BV; Volume: 16; Issue: 4 Linguagem: Inglês

10.1016/j.hrthm.2018.10.031

ISSN

1556-3871

Autores

Masateru Takigawa, Nicolas Derval, Claire Martin, Konstantinos Vlachos, Arnaud Denis, Τakeshi Kitamura, Ghassen Cheniti, Félix Bourier, Anna Lam, Ruairidh Martin, Antonio Frontera, Nathaniel Thompson, Grégoire Massoullié, Michael Wolf, Josselin Duchâteau, Nicolas Klotz, Thomas Pambrun, Frédéric Sacher, Hubert Cochet, Mélèze Hocini, Michel Haı̈ssaguerre, Pierre Jaı̈s,

Tópico(s)

Cardiac electrophysiology and arrhythmias

Resumo

Background Ablation of complex atrial tachycardias (ATs) is difficult. Objective The purpose of this study was to elucidate a mechanism underlying the behavior of ATs during ablation and to create an algorithm to predict it. Methods An algorithm predicting termination/conversion of AT and the second AT circuit associated with the ablation site was developed from 52 index reentrant AT high-resolution activation maps in 45 patients (retrospective phase). First, the wavefront collision site was identified. Then, the N or N-1 beat was defined for each collision associated with the ablation site. When the AT involved wavefront collision solely between N-1/N-1 (N/N) beats, the AT would terminate during ablation. Conversely, when the AT included wavefront collision between N/N-1 beats, the index AT would convert to a second AT. The algorithm was then prospectively tested in 172 patients with 194 ATs (127 anatomic macroreentrant ATs [AMATs], 44 non-AMATs, 23 multiple-loop ATs). Results Accuracy in predicting AT termination/conversion and the second AT circuit was 95.9% overall, 96.1% in AMATs, 95.5% in non-AMATs, and 95.7% in multiple-loop ATs. Median (25th–75th percentile) absolute variation between predicted and actually observed cycle length of the second AT was 6 (4–9) ms. Prediction failure occurred in 8 ATs; either the second AT used an unmapped chamber or structure in the index map (n = 7) or a line of block was misinterpreted as very slow conduction in the index map (n = 1). Conclusion A simple mechanism underlies the behavior of ATs during ablation, even in complex ATs. With a simple algorithm using high-resolution mapping, AT termination/conversion and the second AT circuit and cycle length may be predicted from the index activation map. Ablation of complex atrial tachycardias (ATs) is difficult. The purpose of this study was to elucidate a mechanism underlying the behavior of ATs during ablation and to create an algorithm to predict it. An algorithm predicting termination/conversion of AT and the second AT circuit associated with the ablation site was developed from 52 index reentrant AT high-resolution activation maps in 45 patients (retrospective phase). First, the wavefront collision site was identified. Then, the N or N-1 beat was defined for each collision associated with the ablation site. When the AT involved wavefront collision solely between N-1/N-1 (N/N) beats, the AT would terminate during ablation. Conversely, when the AT included wavefront collision between N/N-1 beats, the index AT would convert to a second AT. The algorithm was then prospectively tested in 172 patients with 194 ATs (127 anatomic macroreentrant ATs [AMATs], 44 non-AMATs, 23 multiple-loop ATs). Accuracy in predicting AT termination/conversion and the second AT circuit was 95.9% overall, 96.1% in AMATs, 95.5% in non-AMATs, and 95.7% in multiple-loop ATs. Median (25th–75th percentile) absolute variation between predicted and actually observed cycle length of the second AT was 6 (4–9) ms. Prediction failure occurred in 8 ATs; either the second AT used an unmapped chamber or structure in the index map (n = 7) or a line of block was misinterpreted as very slow conduction in the index map (n = 1). A simple mechanism underlies the behavior of ATs during ablation, even in complex ATs. With a simple algorithm using high-resolution mapping, AT termination/conversion and the second AT circuit and cycle length may be predicted from the index activation map.

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