Key result
The combination of fibrillatory wave amplitude in lead V1 and dominant frequency in lead I strongly predicted procedural termination failure during catheter ablation (OR 8.542; 95% CI 2.938-28.834; P<0.001).
Why the study?
Catheter ablation outcomes for persistent AF remain unsatisfactory due to high recurrence rates, creating a need to select good responders.
Do surface ECG-based complexity parameters predict procedural termination failure and late recurrence of atrial arrhythmias in patients with nonparoxysmal atrial fibrillation undergoing first-time catheter ablation?
Observational (n=130)
Do surface ECG-based complexity parameters predict procedural termination failure and late recurrence of atrial arrhythmias in patients with nonparoxysmal atrial fibrillation undergoing first-time catheter ablation?
Odds Ratio: 8.542 (95% CI 2.938–28.834)
p-value: p=<0.001
Surface ECG parameters, specifically fibrillatory wave amplitude in lead V1 and dominant frequency in lead I, can help predict procedural success and late recurrence in patients undergoing catheter ablation for nonparoxysmal atrial fibrillation.
May aid pre-ablation risk stratification in nonparoxysmal AF; leaves open prospective validation before guiding patient selection.
Catheter ablation (CA) is a well-established therapy for rhythm control in atrial fibrillation (AF). However, CA outcomes for persistent AF remain unsatisfactory because of the high recurrence rate despite time-consuming efforts and the latest ablation technology. Therefore, the selection of good responders to CA is necessary. Surface electrocardiography (sECG)-based complexity parameters were tested for the predictive ability of procedural termination failure during CA and late recurrence of atrial arrhythmias (AA) after CA. A total of 130 patients with nonparoxysmal AF who underwent CA for the first time were investigated. A 10-second sECG of 4 leads (leads I, II, V1, and V6) was analyzed to compute the fibrillatory wave amplitude (FWA), dominant frequency (DF), spectral entropy (SE), organization index (OI), and sample entropy (SampEn). The study endpoints were procedural termination failure during CA and late (≥1 year) AA recurrence after CA. In the multivariate analysis, FWA in lead V1 and DF in lead I were independent predictors of successful AF termination during CA (P <.05). The optimal cut-off values for FWA in lead V1 and DF in lead I were 60.38 μV (area under the curve [AUC], 0.672; P = .001) and 5.7 Hz (AUC, 0.630; P = .016), respectively. The combination of FWA of lead V1 and DF of lead I had a more powerful odds ratio for predicting procedural termination failure (OR, 8.542; 95% CI, 2.938-28.834; P < .001). FWA in lead V1 was the only independent predictor of late recurrence after CA. The cut-off value is 65.73 μV which was 0.634 of the AUC (P = .009). These sECG parameters, FWA in lead V1 and DF in lead I, predicted AF termination by CA in patients with nonparoxysmal AF. In particular, FWA in lead V1 was an independent predictor of late recurrence of AA after CA.
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Park et al. (2022) conducted an observational in nonparoxysmal atrial fibrillation (n=130). Surface ECG-based complexity parameters (FWA in lead V1 and DF in lead I) was evaluated on Procedural termination failure during catheter ablation (OR 8.542, 95% CI 2.938-28.834, p=<0.001). The combination of fibrillatory wave amplitude in lead V1 and dominant frequency in lead I strongly predicted procedural termination failure during catheter ablation (OR 8.542; 95% CI 2.938-28.834; P<0.001).
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