Vicente Zarzoso1, Decebal G Latcu2, Antonio R Hidalgo-Muñoz3, Marianna Meo4, Olivier Meste3, Irina Popescu2, Nadir Saoudi2. 1. I3S Laboratory, University of Nice Sophia Antipolis, CNRS, Sophia-Antipolis, France. Electronic address: zarzoso@i3s.unice.fr. 2. Cardiology Department, Princess Grace Hospital, Monaco. 3. I3S Laboratory, University of Nice Sophia Antipolis, CNRS, Sophia-Antipolis, France. 4. Electrophysiology and Heart Modelling Institute (IHU LIRYC), Bordeaux, France.
Abstract
BACKGROUND: Catheter ablation (CA) of persistent atrial fibrillation (AF) is challenging, and reported results are capable of improvement. A better patient selection for the procedure could enhance its success rate while avoiding the risks associated with ablation, especially for patients with low odds of favorable outcome. CA outcome can be predicted non-invasively by atrial fibrillatory wave (f-wave) amplitude, but previous works focused mostly on manual measures in single electrocardiogram (ECG) leads only. AIM: To assess the long-term prediction ability of f-wave amplitude when computed in multiple ECG leads. METHODS: Sixty-two patients with persistent AF (52 men; mean age 61.5±10.4years) referred for CA were enrolled. A standard 1-minute 12-lead ECG was acquired before the ablation procedure for each patient. F-wave amplitudes in different ECG leads were computed by a non-invasive signal processing algorithm, and combined into a mutivariate prediction model based on logistic regression. RESULTS: During an average follow-up of 13.9±8.3months, 47 patients had no AF recurrence after ablation. A lead selection approach relying on the Wald index pointed to I, V1, V2 and V5 as the most relevant ECG leads to predict jointly CA outcome using f-wave amplitudes, reaching an area under the curve of 0.854, and improving on single-lead amplitude-based predictors. CONCLUSION: Analysing the f-wave amplitude in several ECG leads simultaneously can significantly improve CA long-term outcome prediction in persistent AF compared with predictors based on single-lead measures.
BACKGROUND: Catheter ablation (CA) of persistent atrial fibrillation (AF) is challenging, and reported results are capable of improvement. A better patient selection for the procedure could enhance its success rate while avoiding the risks associated with ablation, especially for patients with low odds of favorable outcome. CA outcome can be predicted non-invasively by atrial fibrillatory wave (f-wave) amplitude, but previous works focused mostly on manual measures in single electrocardiogram (ECG) leads only. AIM: To assess the long-term prediction ability of f-wave amplitude when computed in multiple ECG leads. METHODS: Sixty-two patients with persistent AF (52 men; mean age 61.5±10.4years) referred for CA were enrolled. A standard 1-minute 12-lead ECG was acquired before the ablation procedure for each patient. F-wave amplitudes in different ECG leads were computed by a non-invasive signal processing algorithm, and combined into a mutivariate prediction model based on logistic regression. RESULTS: During an average follow-up of 13.9±8.3months, 47 patients had no AF recurrence after ablation. A lead selection approach relying on the Wald index pointed to I, V1, V2 and V5 as the most relevant ECG leads to predict jointly CA outcome using f-wave amplitudes, reaching an area under the curve of 0.854, and improving on single-lead amplitude-based predictors. CONCLUSION: Analysing the f-wave amplitude in several ECG leads simultaneously can significantly improve CA long-term outcome prediction in persistent AF compared with predictors based on single-lead measures.
Authors: Tian X Zhao; Claire A Martin; John P Cooper; Parag R Gajendragadkar Journal: Ann Noninvasive Electrocardiol Date: 2017-12-22 Impact factor: 1.468