Remote Ischemic Preconditioning for Electrical Cardioversion of Atrial Fibrillation—the Prospective Randomized PRECON-AF Study
Bibliographic record
Abstract
Background: Electrical cardioversion (ECV) is highly effective in restoring sinus rhythm in patients with atrial fibrillation (AF), but it does not influence long-term rhythm control. Remote ischemic preconditioning (RIPC) has demonstrated various cardioprotective effects. Combining ECV with RIPC could provide a promising approach to minimizing AF recurrences after successful ECV. Methods: This prospective, randomized, single-blinded, single-centre study investigated the impact of RIPC on early AF recurrence following successful ECV (defined as sinus rhythm ≥ 30 seconds). Patients were randomized in a 1:1 ratio to receive either RIPC or sham preconditioning before ECV. RIPC was performed in a standardized manner, with 3 cycles of 5-minute forearm ischemia followed by 5 minutes of reperfusion. The primary efficacy endpoint was AF recurrence after 30 days. Safety endpoints included death, stroke, and procedure-related complications. Secondary endpoints were acute ECV success, mean energy, and number of shocks required to restore sinus rhythm. Results: = 0.63), and no effect of RIPC on cardioversion parameters was seen. One stroke occurred in the RIPC group. The study was terminated before the number of prespecified follow-up visits was reached, due to determination of futility. Conclusions: RIPC did not impact the short-term rhythm-control or cardioversion procedure in patients with AF undergoing ECV. Clinical Trial Registration: NCT05342220.
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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) | 0.005 | 0.001 |
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".