Nonlinear analysis of fibrillatory electrogram similarity to optimize the detection of complex fractionated electrograms during persistent atrial fibrillation

Yenn Jiang Lin, Men Tzung Lo, Chen Lin, Shih Lin Chang, Li Wei Lo, Yu Feng Hu, Tze Fan Chao, Cheng Hung Li, Yi Chung Chang, Wan Hsin Hsieh, Fa Po Chung, Hsuan Ming Tsao, Hung Yu Chang, Norden E. Huang, Shih Ann Chen

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Introduction: Currently, the identification of complex fractionated atrial electrograms (CFEs) in the substrate modification is mostly based on cycle length-derived algorithms. The characteristics of the fibrillation electrogram morphology and their consistency over time are not clear. The aim of this study was to optimize the detection algorithm of crucial CFEs by using nonlinear measure electrogram similarity. Methods and Results: One hundred persistent atrial fibrillation patients that underwent catheter ablation were included. In patients who required CFE ablation (79%), the time-domain fibrillation signals (6 seconds) were acquired for a linear analysis (mean fractionation interval and dominant frequency [DF]) and nonlinear-based waveform similarity analysis of the local electrograms, termed the similarity index (SI). Continuous CFEs were targeted with an endpoint of termination. Predictors of the various signal characteristics on the termination and clinical outcome were investigated. Procedural termination was observed in 39% and long-term sinus rhythm maintenance in 67% of the patients. The targeted CFEs didn't differ based on the linear analysis modalities between the patients who responded and did not respond to CFE ablation. In contrast, the average SI of the targeted CFEs was higher in termination patients, and they had a better outcome. Multivariate regression analysis showed that a higher SI independently predicted sites of termination (≥0.57; OR = 4.9; 95% CI = 1.33-18.0; P = 0.017). Conclusions: In persistent AF patients, a cycle length-based linear analysis could not differentiate culprit CFEs from bystanders. This study suggested that sites with a high level of fibrillation electrogram similarity at the CFE sites were important for AF maintenance. (J Cardiovasc Electrophysiol, Vol. 24, pp. 280-289, March 2013)

Original languageEnglish
Pages (from-to)280-289
Number of pages10
JournalJournal of Cardiovascular Electrophysiology
Volume24
Issue number3
DOIs
StatePublished - Mar 2013

Keywords

  • ablation
  • atrial fibrillation
  • complex fractionated atrial electrograms
  • dominant frequency
  • electrogram

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