P1396Incidence and significance of early AF recurrences with the second generation cryoballoon: insights from the STOP-AF post approval study
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Bibliographic record
Abstract
On behalf of: STOP AF PAS Study Investigators Funding Acknowledgements: Medtronic Background/Introduction: Early recurrence of atrial fibrillation (ERAF) is common after catheter ablation for atrial fibrillation (AF). ERAF after ablation with the second-generation cryoballoon (CB2) has not been extensively studied. Purpose: The purpose of this analysis was to evaluate the incidence and prognostic significance of ERAF in patients participating in the largest prospective multi-center trial evaluating cryoballoon ablation using CB2. Methods: The STOP-AF post approval study is a prospective, multi-center, non-randomized study designed to provide long-term safety and efficacy data for cryoballoon ablation patients with drug-refractory, recurrent symptomatic paroxysmal AF. ERAF was defined as any recurrence of AF >30 seconds or a repeat AF ablation during the first 90 days of follow-up. Late recurrence (LR) was defined as any documented AF lasting longer than 30 seconds and/or a repeat AF ablation after 90 days. Cox regression was utilized to assess the relationship between ERAF and LR. Results: 344 patients were enrolled and the mean follow-up was 27 ± 9 months. Of these patients, 16% (56/344) experienced ERAF with a mean time to ERAF of 39±30 days. Baseline characteristics of the patients with and without ERAF are reported in the table below. Repeat ablations were performed in 14% (8/56) during the blanking period. LR was significantly associated with ERAF (55% [31/56] LR in ERAF subjects vs. 23% [65/288] LR in non-ERAF subjects, p<0.01). Mean time to LR was shorter in ERAF subjects (251 ± 224 in ERAF, 479 ± 317 days in non-ERAF). Conclusion: ERAF with CB2 occurs in 16% of patients and is significantly associated with LR post ablation and an earlier time to LR. Predictors of AF Recurrence
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it