Positive clinical benefit on patient care, quality of life and symptoms after radiofrequency ablation with contact force in persistent atrial fibrillation: analyses from PRECEPT
Bibliographic record
Abstract
Abstract Background The management of persistent (PsAF) aims to prevent AF recurrence and associated disabilities while reducing side effects from treatment. Contact force (CF)-guided RF catheters have proven efficacious and safe for pulmonary vein isolation (PVI) to treat paroxysmal AF; however, there is limited evidence on clinical benefits with ablation of PsAF. Purpose To assess long-term clinical effects on patients care, symptoms and QOL after CF-guided RF ablation in PsAF. Methods PRECEPT was a multicenter study evaluating the safety and efficacy of CF RF catheters in the treatment of symptomatic PsAF (NCT02817776). PVI was performed with or without substrate modification. Patients were followed at 6, 9, 12 and 15 mos to collect the following data: Atrial Fibrillation Effect on Quality-of-Life (AFEQT) score, Canadian Cardiovascular Society Severity of Atrial Fibrillation (CCS-SAF) score, Class I/III AAD use, and incidence of cardioversion and cardiovascular hospitalization. Results A total of 333 enrolled patients (65.4±8.8 yrs, 71.2% male, CHA2DS2-VASC score 2.3±1.5) underwent PVI. Compared to baseline, 1) improvements in the AFEQT composite and subscores were seen from 6–15 mos, exceeding Clinical Important Difference (±5 points) in majority of subjects (Figure), 2) proportion of CCS-SAF Class 0 patients (asymptomatic with respect to AF) rose from 0.7% to 81.0%, 3) class I/III AAD use was reduced from 97.0% to 24.7%, and 4) incidence of cardioversion decreased from 62.0% to 10.7%. Moreover, the 1-yr Kaplan-Meier estimate of freedom from hospitalization was 84.2% [95% CI: 80.2%, 88.2%]. Conclusion CF-guided RF ablation in PsAF patients led to a clinically meaningful improvement in QOL, as well as a reduction in AAD use, cardioversion, and hospitalization. Figure 1. Mean AFEQT composite and subscore Funding Acknowledgement Type of funding source: Private company. Main funding source(s): This study was funded by Biosense Webster, Inc.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".