P‐wave alternans rebound following pulmonary vein isolation predicts atrial arrhythmia recurrence

Introduction Numerous P‐wave indices have been explored as biomarkers to assess atrial fibrillation (AF) risk and the impact of therapy with variable success. Objective We investigated the utility of P‐wave alternans (PWA) to track the effects of pulmonary vein isolation (PVI) and to predict atrial...

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Published inJournal of cardiovascular electrophysiology Vol. 35; no. 7; pp. 1360 - 1367
Main Authors Nearing, Bruce D., Fialho, Guilherme L., Waks, Jonathan W., Maher, Timothy R., Clarke, John‑Ross, Shepherd, Alyssa J., D'Avila, Andre, Verrier, Richard L.
Format Journal Article
LanguageEnglish
Published United States Wiley Subscription Services, Inc 01.07.2024
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ISSN1045-3873
1540-8167
1540-8167
DOI10.1111/jce.16291

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Abstract Introduction Numerous P‐wave indices have been explored as biomarkers to assess atrial fibrillation (AF) risk and the impact of therapy with variable success. Objective We investigated the utility of P‐wave alternans (PWA) to track the effects of pulmonary vein isolation (PVI) and to predict atrial arrhythmia recurrence. Methods This medical records study included patients who underwent PVI for AF ablation at our institution, along with 20 control subjects without AF or overt cardiovascular disease. PWA was assessed using novel artificial intelligence‐enabled modified moving average (AI‐MMA) algorithms. PWA was monitored from the 12‐lead ECG at ~1 h before and ~16 h after PVI (n = 45) and at the 4‐ to 17‐week clinically indicated follow‐up visit (n = 30). The arrhythmia follow‐up period was 955 ± 112 days. Results PVI acutely reduced PWA by 48%–63% (p < .05) to control ranges in leads II, III, aVF, the leads with the greatest sensitivity in monitoring PWA. Pre‐ablation PWA was ~6 µV and decreased to ~3 µV following ablation. Patients who exhibited a rebound in PWA to pre‐ablation levels at 4‐ to 17‐week follow‐up (p < .01) experienced recurrent atrial arrhythmias, whereas patients whose PWA remained reduced (p = .85) did not, resulting in a significant difference (p < .001) at follow‐up. The AUC for PWA's prediction of first recurrence of atrial arrhythmia was 0.81 (p < .01) with 88% sensitivity and 82% specificity. Kaplan–Meier analysis estimated atrial arrhythmia‐free survival (p < .01) with an adjusted hazard ratio of 3.4 (95% CI: 1.47–5.24, p < .02). Conclusion A rebound in PWA to pre‐ablation levels detected by AI‐MMA in the 12‐lead ECG at standard clinical follow‐up predicts atrial arrhythmia recurrence.
AbstractList Numerous P-wave indices have been explored as biomarkers to assess atrial fibrillation (AF) risk and the impact of therapy with variable success. We investigated the utility of P-wave alternans (PWA) to track the effects of pulmonary vein isolation (PVI) and to predict atrial arrhythmia recurrence. This medical records study included patients who underwent PVI for AF ablation at our institution, along with 20 control subjects without AF or overt cardiovascular disease. PWA was assessed using novel artificial intelligence-enabled modified moving average (AI-MMA) algorithms. PWA was monitored from the 12-lead ECG at ~1 h before and ~16 h after PVI (n = 45) and at the 4- to 17-week clinically indicated follow-up visit (n = 30). The arrhythmia follow-up period was 955 ± 112 days. PVI acutely reduced PWA by 48%-63% (p < .05) to control ranges in leads II, III, aVF, the leads with the greatest sensitivity in monitoring PWA. Pre-ablation PWA was ~6 µV and decreased to ~3 µV following ablation. Patients who exhibited a rebound in PWA to pre-ablation levels at 4- to 17-week follow-up (p < .01) experienced recurrent atrial arrhythmias, whereas patients whose PWA remained reduced (p = .85) did not, resulting in a significant difference (p < .001) at follow-up. The AUC for PWA's prediction of first recurrence of atrial arrhythmia was 0.81 (p < .01) with 88% sensitivity and 82% specificity. Kaplan-Meier analysis estimated atrial arrhythmia-free survival (p < .01) with an adjusted hazard ratio of 3.4 (95% CI: 1.47-5.24, p < .02). A rebound in PWA to pre-ablation levels detected by AI-MMA in the 12-lead ECG at standard clinical follow-up predicts atrial arrhythmia recurrence.
Introduction Numerous P‐wave indices have been explored as biomarkers to assess atrial fibrillation (AF) risk and the impact of therapy with variable success. Objective We investigated the utility of P‐wave alternans (PWA) to track the effects of pulmonary vein isolation (PVI) and to predict atrial arrhythmia recurrence. Methods This medical records study included patients who underwent PVI for AF ablation at our institution, along with 20 control subjects without AF or overt cardiovascular disease. PWA was assessed using novel artificial intelligence‐enabled modified moving average (AI‐MMA) algorithms. PWA was monitored from the 12‐lead ECG at ~1 h before and ~16 h after PVI (n = 45) and at the 4‐ to 17‐week clinically indicated follow‐up visit (n = 30). The arrhythmia follow‐up period was 955 ± 112 days. Results PVI acutely reduced PWA by 48%–63% (p < .05) to control ranges in leads II, III, aVF, the leads with the greatest sensitivity in monitoring PWA. Pre‐ablation PWA was ~6 µV and decreased to ~3 µV following ablation. Patients who exhibited a rebound in PWA to pre‐ablation levels at 4‐ to 17‐week follow‐up (p < .01) experienced recurrent atrial arrhythmias, whereas patients whose PWA remained reduced (p = .85) did not, resulting in a significant difference (p < .001) at follow‐up. The AUC for PWA's prediction of first recurrence of atrial arrhythmia was 0.81 (p < .01) with 88% sensitivity and 82% specificity. Kaplan–Meier analysis estimated atrial arrhythmia‐free survival (p < .01) with an adjusted hazard ratio of 3.4 (95% CI: 1.47–5.24, p < .02). Conclusion A rebound in PWA to pre‐ablation levels detected by AI‐MMA in the 12‐lead ECG at standard clinical follow‐up predicts atrial arrhythmia recurrence.
IntroductionNumerous P‐wave indices have been explored as biomarkers to assess atrial fibrillation (AF) risk and the impact of therapy with variable success.ObjectiveWe investigated the utility of P‐wave alternans (PWA) to track the effects of pulmonary vein isolation (PVI) and to predict atrial arrhythmia recurrence.MethodsThis medical records study included patients who underwent PVI for AF ablation at our institution, along with 20 control subjects without AF or overt cardiovascular disease. PWA was assessed using novel artificial intelligence‐enabled modified moving average (AI‐MMA) algorithms. PWA was monitored from the 12‐lead ECG at ~1 h before and ~16 h after PVI (n = 45) and at the 4‐ to 17‐week clinically indicated follow‐up visit (n = 30). The arrhythmia follow‐up period was 955 ± 112 days.ResultsPVI acutely reduced PWA by 48%–63% (p < .05) to control ranges in leads II, III, aVF, the leads with the greatest sensitivity in monitoring PWA. Pre‐ablation PWA was ~6 µV and decreased to ~3 µV following ablation. Patients who exhibited a rebound in PWA to pre‐ablation levels at 4‐ to 17‐week follow‐up (p < .01) experienced recurrent atrial arrhythmias, whereas patients whose PWA remained reduced (p = .85) did not, resulting in a significant difference (p < .001) at follow‐up. The AUC for PWA's prediction of first recurrence of atrial arrhythmia was 0.81 (p < .01) with 88% sensitivity and 82% specificity. Kaplan–Meier analysis estimated atrial arrhythmia‐free survival (p < .01) with an adjusted hazard ratio of 3.4 (95% CI: 1.47–5.24, p < .02).ConclusionA rebound in PWA to pre‐ablation levels detected by AI‐MMA in the 12‐lead ECG at standard clinical follow‐up predicts atrial arrhythmia recurrence.
Numerous P-wave indices have been explored as biomarkers to assess atrial fibrillation (AF) risk and the impact of therapy with variable success.INTRODUCTIONNumerous P-wave indices have been explored as biomarkers to assess atrial fibrillation (AF) risk and the impact of therapy with variable success.We investigated the utility of P-wave alternans (PWA) to track the effects of pulmonary vein isolation (PVI) and to predict atrial arrhythmia recurrence.OBJECTIVEWe investigated the utility of P-wave alternans (PWA) to track the effects of pulmonary vein isolation (PVI) and to predict atrial arrhythmia recurrence.This medical records study included patients who underwent PVI for AF ablation at our institution, along with 20 control subjects without AF or overt cardiovascular disease. PWA was assessed using novel artificial intelligence-enabled modified moving average (AI-MMA) algorithms. PWA was monitored from the 12-lead ECG at ~1 h before and ~16 h after PVI (n = 45) and at the 4- to 17-week clinically indicated follow-up visit (n = 30). The arrhythmia follow-up period was 955 ± 112 days.METHODSThis medical records study included patients who underwent PVI for AF ablation at our institution, along with 20 control subjects without AF or overt cardiovascular disease. PWA was assessed using novel artificial intelligence-enabled modified moving average (AI-MMA) algorithms. PWA was monitored from the 12-lead ECG at ~1 h before and ~16 h after PVI (n = 45) and at the 4- to 17-week clinically indicated follow-up visit (n = 30). The arrhythmia follow-up period was 955 ± 112 days.PVI acutely reduced PWA by 48%-63% (p < .05) to control ranges in leads II, III, aVF, the leads with the greatest sensitivity in monitoring PWA. Pre-ablation PWA was ~6 µV and decreased to ~3 µV following ablation. Patients who exhibited a rebound in PWA to pre-ablation levels at 4- to 17-week follow-up (p < .01) experienced recurrent atrial arrhythmias, whereas patients whose PWA remained reduced (p = .85) did not, resulting in a significant difference (p < .001) at follow-up. The AUC for PWA's prediction of first recurrence of atrial arrhythmia was 0.81 (p < .01) with 88% sensitivity and 82% specificity. Kaplan-Meier analysis estimated atrial arrhythmia-free survival (p < .01) with an adjusted hazard ratio of 3.4 (95% CI: 1.47-5.24, p < .02).RESULTSPVI acutely reduced PWA by 48%-63% (p < .05) to control ranges in leads II, III, aVF, the leads with the greatest sensitivity in monitoring PWA. Pre-ablation PWA was ~6 µV and decreased to ~3 µV following ablation. Patients who exhibited a rebound in PWA to pre-ablation levels at 4- to 17-week follow-up (p < .01) experienced recurrent atrial arrhythmias, whereas patients whose PWA remained reduced (p = .85) did not, resulting in a significant difference (p < .001) at follow-up. The AUC for PWA's prediction of first recurrence of atrial arrhythmia was 0.81 (p < .01) with 88% sensitivity and 82% specificity. Kaplan-Meier analysis estimated atrial arrhythmia-free survival (p < .01) with an adjusted hazard ratio of 3.4 (95% CI: 1.47-5.24, p < .02).A rebound in PWA to pre-ablation levels detected by AI-MMA in the 12-lead ECG at standard clinical follow-up predicts atrial arrhythmia recurrence.CONCLUSIONA rebound in PWA to pre-ablation levels detected by AI-MMA in the 12-lead ECG at standard clinical follow-up predicts atrial arrhythmia recurrence.
Author Clarke, John‑Ross
Nearing, Bruce D.
Fialho, Guilherme L.
Waks, Jonathan W.
D'Avila, Andre
Maher, Timothy R.
Shepherd, Alyssa J.
Verrier, Richard L.
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Issue 7
Keywords R‐wave alternans
atrial fibrillation
T‐wave alternans
P‐wave alternans
modified moving average
pulmonary vein isolation
artificial intelligence
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Snippet Introduction Numerous P‐wave indices have been explored as biomarkers to assess atrial fibrillation (AF) risk and the impact of therapy with variable success....
Numerous P-wave indices have been explored as biomarkers to assess atrial fibrillation (AF) risk and the impact of therapy with variable success. We...
IntroductionNumerous P‐wave indices have been explored as biomarkers to assess atrial fibrillation (AF) risk and the impact of therapy with variable...
Numerous P-wave indices have been explored as biomarkers to assess atrial fibrillation (AF) risk and the impact of therapy with variable...
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SubjectTerms Ablation
Arrhythmia
Artificial intelligence
atrial fibrillation
Cardiac arrhythmia
Cardiovascular diseases
Cardiovascular system
EKG
Medical records
modified moving average
Patients
pulmonary vein isolation
P‐wave alternans
R‐wave alternans
T‐wave alternans
Title P‐wave alternans rebound following pulmonary vein isolation predicts atrial arrhythmia recurrence
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fjce.16291
https://www.ncbi.nlm.nih.gov/pubmed/38715310
https://www.proquest.com/docview/3078502691
https://www.proquest.com/docview/3052596013
Volume 35
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