Abstract 11422: Factors Associated With Improvement of Left Ventricular Function After Catheter Ablation for Atrial Fibrillation in Patients With Heart Failure: A Multicenter Cohort
Bibliographic record
Abstract
Introduction: Catheter ablation is a well-established therapy for atrial fibrillation (AF), with a promising impact on heart failure (HF) outcomes. We aimed to assess the impact of AF ablation on echocardiographic and clinical parameters in patients with HF, and to assess factors associated with improvement of the left ventricular ejection fraction (LVEF). Methods: Patients with HF and LVEF<50% who underwent radiofrequency AF ablation in 5 high-volume Brazilian centers were prospectively enrolled. All patients underwent transthoracic echocardiography before the procedure and during follow-up, and the analysis by the examiner was considered. The primary outcome was LVEF normalization (≥50%) at follow-up. Clinical, echocardiographic, and procedural variables associated with the primary outcome were assessed by logistic regression. Results: From 2018 - 2022, 85 patients were included, being 59 (69%) males, mean age 66±12 years. Of these, 27 were in NYHA functional class 3/4 and 71 (83%) had persistent AF. Pre-procedural LVEF was 38±7%, and 25 (29%) had LVEF<35%. Complications occurred in 3 patients (2 vascular access and 1 endocarditis). In the 12±10 month follow-up, there was a substantial improvement of the LVEF to 54±14% (p<0.001), and 60 (71%) achieved LVEF normalization. 59 patients (69%) had LVEF improvement ≥10%, only 6 remained in NYHA class 3/4, and AF recurred in 13 (15%). Three patients died during follow-up, and none had LVEF normalization. Predictors of LVEF normalization were: pre-ablation LVEF (OR=1.24, 95%CI 1.12-1.37), left atrial diameter (OR=0.88, 95%CI 0.82-0.95), Chagasic etiology (OR=0.14, 95%CI 0.03-0.77) and indication of amiodarone (OR=0.26, 95%CI 0.09-0.72) and ACEi/ARB (OR=0.25, 95%CI 0.08-0.75, p=0.02). In the multivariable model, independent predictors were: baseline LVEF (OR=1.25, 95% CI 1.10-1.41, p<0.001), left atrial diameter (OR=0.88, 95%CI 0.79-0.98, p=0.02), Chagasic etiology (OR=0.07, 95%CI 0.01-0.74, p=0.03) and indication of ACEi/ARB: (OR: 0.11, 95%CI 0.02-0.63, p=0.01). Conclusion: AF ablation in patients with HF resulted in echocardiographic and functional improvement, with low complication rates. Less clinical severity and morpho-functional impairment associated with LVEF normalization.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".