Withdrawal of heart failure therapy after atrial fibrillation rhythm control with ejection fraction normalization: the WITHDRAW-AF trial
Bibliographic record
Abstract
BACKGROUND AND AIMS: Atrial fibrillation-mediated cardiomyopathy (AFCM) represents an important reversible cause of left ventricular systolic dysfunction. Current clinical practice is indefinite heart failure (HF) pharmacotherapy despite left ventricular ejection fraction (LVEF) normalization. However, whether this is necessary to maintain normal LVEF, in addition to rhythm control, is uncertain. METHODS: This multi-centre, randomized trial conducted between 2021 and 2024 examined the impact of staged withdrawal of HF therapy following AF rhythm control and LVEF normalization in AFCM. Participants were randomized (1:1) to early withdrawal (Group A) or continued therapy for 6 months followed by delayed withdrawal (Group B), in a crossover design. The primary endpoint was the randomized comparison of cardiac magnetic resonance (CMR) LVEF maintenance ≥50% at 6 months, during which time Group A had withdrawn therapy and Group B remained on treatment. Secondary outcomes included cardiac remodelling, functional status, biomarkers, quality of life, and arrhythmia recurrence on vs off HF therapy. The total follow-up duration was 12 months. RESULTS: Between July 2021 and May 2024, 60 patients were enrolled (age 60 [55-65] years, previous persistent AF <1 year and maintaining sinus rhythm for minimum 6 months following AF rhythm control [catheter ablation in 97%]). All participants completed treatment withdrawal and 12-month follow-up. In the initial randomized comparison, LVEF was maintained ≥50% at 6 months in 90% of participants undergoing HF therapy withdrawal (Group A), compared with 100% who continued medical therapy (Group B) (odds ratio [OR] 1.18, 95% confidence interval [CI] 0.27-2.82, P = .47). CMR LVEF was similar between randomization groups at the end of the randomization phase (Group A: LVEF 58% [95% CI 54-60] vs Group B: LVEF 59% [95% CI 55-64], P = .236) and across study time points (mixed effects P = .37). Transthoracic echocardiography characteristics, N-terminal pro-B-type natriuretic peptide, functional status, quality of life and AF burden were similar on vs off HF therapy in the overall population. CONCLUSIONS: Withdrawal of HF therapy following AF rhythm control for prior AFCM and recovered LVEF was not associated with a decline in LVEF for most patients in the following 6 months.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".