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 in | Journal of cardiovascular electrophysiology Vol. 35; no. 7; pp. 1360 - 1367 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Wiley Subscription Services, Inc
01.07.2024
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Subjects | |
Online Access | Get full text |
ISSN | 1045-3873 1540-8167 1540-8167 |
DOI | 10.1111/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. |
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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. |
Author_xml | – sequence: 1 givenname: Bruce D. orcidid: 0000-0003-3517-0600 surname: Nearing fullname: Nearing, Bruce D. organization: Beth Israel Deaconess Medical Center – sequence: 2 givenname: Guilherme L. orcidid: 0000-0001-6954-2834 surname: Fialho fullname: Fialho, Guilherme L. organization: Federal University of Santa Catarina – sequence: 3 givenname: Jonathan W. orcidid: 0000-0001-5560-5638 surname: Waks fullname: Waks, Jonathan W. organization: Beth Israel Deaconess Medical Center, Harvard Medical School – sequence: 4 givenname: Timothy R. orcidid: 0000-0003-0019-3415 surname: Maher fullname: Maher, Timothy R. organization: Beth Israel Deaconess Medical Center, Harvard Medical School – sequence: 5 givenname: John‑Ross orcidid: 0000-0002-1904-3874 surname: Clarke fullname: Clarke, John‑Ross organization: Beth Israel Deaconess Medical Center, Harvard Medical School – sequence: 6 givenname: Alyssa J. orcidid: 0000-0002-6824-5739 surname: Shepherd fullname: Shepherd, Alyssa J. organization: Beth Israel Deaconess Medical Center, Harvard Medical School – sequence: 7 givenname: Andre orcidid: 0000-0001-8769-1411 surname: D'Avila fullname: D'Avila, Andre organization: Beth Israel Deaconess Medical Center, Harvard Medical School – sequence: 8 givenname: Richard L. orcidid: 0000-0001-5602-6793 surname: Verrier fullname: Verrier, Richard L. email: rverrier@bidmc.harvard.edu organization: Beth Israel Deaconess Medical Center, Harvard Medical School |
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Keywords | R‐wave alternans atrial fibrillation T‐wave alternans P‐wave alternans modified moving average pulmonary vein isolation artificial intelligence |
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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 |
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