Id: 4570325 Defining the Limits of Pulmonary Vein Isolation: Electroanatomic Substrate Predicts Recurrence in First-Time Paroxysmal Atrial Fibrillation Ablation

Q: What is the clinical evidence from this study?

Study design: Observational. Population: Paroxysmal atrial fibrillation. Intervention: Electroanatomic mapping (EAM) features via automated machine learning vs. Traditional comorbidities and AF classification. Primary outcome: Recurrence of atrial fibrillation.

Q: What does this research mean for the field?

Electroanatomic mapping substrate metrics predict arrhythmia recurrence following pulmonary vein isolation in patients undergoing first-time ablation for paroxysmal atrial fibrillation. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Daniel J. Gonzalez; Kushal Chatterjee; Rahul Devathu; Erick Godinez; Paul Clopton; Liat Tsoref; Yariv A. Amos; Shiran Eliyahu; Michael H. Kim; Jiaqi Li; Albert Joseph Rogers; Tina Baykaner; Muhammad Fazal

doi:10.1016/j.hroo.2026.08.016

September 1, 2026Heart Rhythm O2Open Access

Id: 4570325 Defining the Limits of Pulmonary Vein Isolation: Electroanatomic Substrate Predicts Recurrence in First-Time Paroxysmal Atrial Fibrillation Ablation

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Key result

Electroanatomic mapping features may predict recurrence after ablation for paroxysmal AF.

Why the study?

The clinical distinction between paroxysmal and persistent AF may not reflect the underlying atrial substrate, and automated electroanatomic mapping features may better predict recurrence after PVI.

Key Points

To determine whether automated electroanatomic mapping substrate metrics can identify paroxysmal atrial fibrillation patients at risk of recurrence after pulmonary vein isolation alone.
Extracted baseline electroanatomic mapping (EAM) substrate features using an automated machine learning platform within CARTONET.
Evaluated EAM-derived metrics alongside traditional clinical comorbidities and conventional atrial fibrillation classifications in patients undergoing first-time catheter ablation.
Automated extraction successfully characterized baseline atrial substrate features that standard clinical distinctions between paroxysmal and persistent atrial fibrillation overlook.
Machine learning-derived electroanatomic metrics demonstrated superior predictive capacity for arrhythmia recurrence compared with traditional clinical comorbidities and AF classification.

Study Design

Type

Observational

PICO

P

Population

Paroxysmal atrial fibrillation

E

Exposure / Comparator

Electroanatomic mapping (EAM) features via automated machine learning vs Traditional comorbidities and AF classification

O

Primary Outcome

Recurrence of atrial fibrillation

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Implication

Demonstrates that automated electroanatomic mapping metrics predict recurrence after pulmonary vein isolation in paroxysmal atrial fibrillation, indicating the need for tailored ablation strategies.

Abstract

Pulmonary vein isolation (PVI) remains the treatment of choice for paroxysmal atrial fibrillation (PAF). However, the clinical distinction between paroxysmal and persistent AF may not reflect the underlying atrial substrate. Automated extraction of electroanatomic mapping (EAM) features now enables rapid substrate characterization at baseline. We hypothesized that these EAM-derived metrics obtained via automated machine learning platform within CARTONET, can identify PAF patients in whom PVI alone is insufficient, outperforming traditional comorbidities and AF classification in predicting recurrence.

Discussion

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Cite This Study

Gonzalez et al. (2026) conducted an observational in Paroxysmal atrial fibrillation. Electroanatomic mapping (EAM) features via automated machine learning vs. Traditional comorbidities and AF classification was evaluated on Recurrence of atrial fibrillation. The abstract hypothesizes that electroanatomic mapping features can predict recurrence after ablation for paroxysmal atrial fibrillation, but provides no quantitative results.

synapsesocial.com/papers/6ad0fd4715427f6a84040674 https://doi.org/10.1016/j.hroo.2026.08.016

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Id: 4570325 Defining the Limits of Pulmonary Vein Isolation: Electroanatomic Substrate Predicts Recurrence in First-Time Paroxysmal Atrial Fibrillation Ablation

Key Points

Study Design

PICO

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

Id: 4570325 Defining the Limits of Pulmonary Vein Isolation: Electroanatomic Substrate Predicts Recurrence in First-Time Paroxysmal Atrial Fibrillation Ablation

Key Points

Study Design

PICO

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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