Comparison of Dabigatran Plus a P2Y12 Inhibitor With Warfarin-Based Triple Therapy Across Body Mass Index in RE-DUAL PCI
Bibliographic record
Abstract
Background Body mass index (BMI) affects drug levels of nonvitamin K antagonist oral anticoagulants. We sought to assess whether BMI affected outcomes in the RE-DUAL PCI trial. Methods RE-DUAL PCI (NCT02164864) evaluated the safety and efficacy of a dual-antithrombotic-therapy regimen using dabigatran (110 mg or 150 mg twice daily and a P2Y 12 platelet antagonist) in comparison with triple therapy of warfarin, aspirin, and a P2Y 12 platelet inhibitor in 2725 patients with atrial fibrillation who had undergone percutaneous coronary intervention (PCI). We compared the risk of first International Society on Thrombosis and Haemostasis (ISTH)-defined major or clinically relevant nonmajor bleeding events (primary endpoint) and the composite of death, myocardial infarction, stroke, systemic embolism, or unplanned revascularization (main efficacy endpoint) in relation to baseline BMI. Results Median (range) BMI was 28.1 (14-66) kg/m 2 . Dabigatran dual therapy versus warfarin triple therapy had relevantly and similarly lower rates of bleeding at both 110 mg and 150 mg twice-daily doses, irrespective of BMI. Thromboembolic event rates appeared consistent across categories of BMI, including those <25 and ≥35 kg/m 2 ( P for interaction: 0.806 and 0.279, respectively). Conclusions The reduction in bleeding with dabigatran dual therapy compared with warfarin triple therapy in patients here evaluated appears consistent across BMI categories.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".