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Outcomes of Atrioventricular Node Ablation Following Recurrent Atrial Fibrillation After Prior Ablation

2025· preprint· en· W4411228347 on OpenAlexafffundabout
Vadivelu Ramalingam, Atul Verma, Tomy Hadjis, Martin Bernier, Vidal Essebag, Jacqueline Joza

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicCardiac Arrhythmias and Treatments
Canadian institutionsMcGill University Health Centre
FundersBiosense WebsterFonds de Recherche du Québec - SantéBoston Scientific Corporation
KeywordsAblationAtrial fibrillationAtrioventricular nodeCardiologyInternal medicineMedicineTachycardia

Abstract

fetched live from OpenAlex

Background : Although ablation techniques for atrial fibrillation (AF) continue to evolve, many patients experience recurrent arrhythmia. Those who remain symptomatic despite medical therapy and are deemed ineligible for redo AF ablation are referred for pacemaker implantation and atrioventricular node ablation (AVNA), so-called pace-and-ablate therapy. Objectives: To characterize patients undergoing AVNA following recurrent AF after prior catheter ablation, and to evaluate the impact of pace and ablate therapy on unplanned hospitalizations for AF or heart failure (HF). Secondary objectives include the incidence of pacing-induced cardiomyopathy (PICM) and resumption of spontaneous AV node conduction. Methods: This is a retrospective cohort analysis of all patients undergoing pace-and-ablate therapy for recurrent AF following prior ablation at the McGill University Health Centre between June 2018 and January 2025. Results: Out of a total of 346 AVNA procedures, 32 patients underwent pace-and-ablate therapy for recurrent AF post catheter ablation, median age 77.7 years (IQR: 72.2, 81), 62.5% female, 96.9% hypertension, and 40.6% heart failure with preserved ejection fraction (HFpEF). The baseline left ventricular ejection fraction (LVEF) was 49.9±13% and left atrial volume index 41.4±15 ml/m2. The majority had persistent AF (78.1%) and underwent an average of 1.4 ± 0.6 previous AF ablations. The median time from AF ablation to AVNA was 2.5 years (IQR 0.8, 6.1). Approximately 40.6% of the patients underwent RV pacing, 37.5% biventricular pacing, and 21.9% left bundle branch area pacing (LBBaP). The average number of hospital admissions pre-AF ablation, post-AF ablation, and post-AVNA was 1.7±1.1, 2.1±1.3, and 0.8±0.4, respectively, after a median follow-up of 1.7 years post-AVNA. This was consistent with an 81.3% reduction in hospitalization (Odds ratio: 0.0095, 95% CI: 0.0023–0.0395, P<0.001); number needed to treat (NNT) = 2 (for every 2 patients undergoing pace-and-ablate therapy, one hospitalization was prevented) . PICM was seen only in those who underwent RV pacing, and the risk of PICM from standard RV pacing was 7.7% Conclusion : Pace and ablate therapy is a safe and effective procedure in patients with recurrent AF after prior AF ablation. Earlier consideration of AVNA in patients with a higher number of comorbidities should be considered. Our findings suggest a potential trend toward improved outcomes with biventricular or conduction system pacing in the setting of AVNA, though the limited sample size precludes definitive conclusions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.303
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes3
Has abstractyes

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