Biatrial ablation vs. Pulmonary vein isolation in atrial fibrillation patients undergoing cardiac surgery: a retrospective study
Bibliographic record
Abstract
Objectives Surgical ablation is an established treatment for patients with atrial fibrillation undergoing cardiac surgery. This study aimed to compare postoperative rhythm outcomes and pacemaker implantation rates after biatrial ablation or pulmonary vein isolation (PVI) concomitantly with other cardiac surgery. Design: In a retrospective study, we included patients who underwent biatrial ablation or PVI. Postoperative rhythm status was assessed by Holter monitoring. All data on outcomes and patient characteristics were collected retrospectively. Results: In total 109 patients had a biatrial procedure whereas 337 had PVI performed. In patients with persistent/long-standing persistent atrial fibrillation, freedom from atrial fibrillation was more common after biatrial ablation than after PVI (63% and 45%, respectively; p = .039). Postoperative permanent pacemaker implantation was more common after biatrial ablation (12% and 6%, respectively; p = .039), compared to PVI. Age < 65 years (OR:2.0, 95% CI:1.1–3.6) was a predictor of freedom from atrial fibrillation in the biatrial group, whereas absence of left atrial dilatation (OR:1.8, 95% CI:1.1–3.2) and HAS-BLED score < 2 (OR:1.9, 95% CI:1.0–3.8) were significant predictors of freedom from atrial fibrillation in the PVI group. Conclusions: In patients with persistent/long-standing persistent atrial fibrillation, biatrial ablation is more effective than PVI in terms of obtaining freedom from postoperative atrial fibrillation. Although our groups were heterogenic in terms of concomitant surgery, our study also indicates that the risk of needing a permanent pacemaker is higher after biatrial ablation, compared to PVI. Therefore, our study highlights that the decision between biatrial ablation or PVI should be performed on an individual basis.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".