Edoxaban in atrial fibrillation patients with percutaneous coronary intervention by acute or chronic coronary syndrome presentation: a pre-specified analysis of the ENTRUST-AF PCI trial
Bibliographic record
Abstract
AIMS: To compare the safety and efficacy of edoxaban combined with P2Y12 inhibition following percutaneous coronary intervention (PCI) in patients with atrial fibrillation (AF) presenting with an acute coronary syndrome (ACS) or chronic coronary syndrome (CCS). METHODS AND RESULTS: In this pre-specified sub-analysis of the ENTRUST-AF PCI trial, participants were randomly assigned 1:1 to edoxaban- or vitamin K antagonist (VKA)-based strategy and randomization was stratified by ACS (edoxaban n = 388, VKA n = 389) vs. CCS (edoxaban n = 363, VKA = 366). Participants received edoxaban 60 mg once-daily plus a P2Y12 inhibitor for 12 months, or VKA combined with a P2Y12 inhibitor and aspirin 100 mg (for 1-12 months). The primary bleeding endpoint at 12 months occurred in 59 (15.2%) vs. 79 (20.3%) ACS patients [hazard ratio (HR): 0.73, 95% confidence interval (CI): 0.59-1.02, P = 0.063], and in 69 (19.0%) vs. 73 (19.9%) CCS patients (HR: 0.94, 95%CI: 0.68-1.31, P = 0.708) with edoxaban- and VKA-based therapy, respectively [P for interaction (P-int) = 0.2741]. The main secondary endpoint (composite of CV death, myocardial infarction, stroke, systemic embolic events, or definite stent thrombosis) in ACS patients was 33 (8.5%) vs. 28 (7.2%) (HR: 1.16, 95%CI: 0.70-1.92), compared with 16 (4.4%) vs. 18 (4.9%) (HR: 0.91, 95%CI: 0.47-1.78) CCS patients with edoxaban and VKA-based therapy, respectively (P-int = 0.5573). CONCLUSIONS: In patients with AF who underwent PCI, the edoxaban-based regimen, as compared with VKA-based regimen, provides consistent safety and similar efficacy for ischaemic events in patients with AF regardless of their clinical presentation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".