Abstract 17392: Gastrointestinal Bleeding With Edoxaban versus Warfarin: Results From the ENGAGE AF-TIMI 48 Trial
Bibliographic record
Abstract
Background: There is more major gastrointestinal bleeding (M-GIB) with most NOACs than with warfarin. The clinical impact of this finding is poorly understood. Methods: The ENGAGE AF-TIMI 48 trial compared the efficacy and safety of higher-dose (HD-E: 60 mg/ 30mg) or lower-dose (LD-E: 30 mg/15 mg) edoxaban regimens with dose-adjusted warfarin for prevention of stroke and systemic embolism in non-valvular atrial fibrillation. ISTH definitions for major and life-threatening (LT) bleeding events were utilized. In this pre-specified analysis, we investigated the adjudicated M-GIB events utilizing pre-defined severity and outcome endpoints. Results: Although the risk of M-GIB was higher with HD-E than with warfarin, the risk of LT or fatal GIB was similar (figure), and surgery for GIB was required less frequently with HD-E than warfarin (HR 0.37; 95%CI, 0.16-0.88; p=0.03). The risk for M-GIB-related permanent drug discontinuation was similar with HD-E and warfarin (HR 0.96; 95% CI, 0.67-1.37, p=0.8), as were the risks of hospitalization (HR 1.14; 95%CI, 0.92-1.40, p=0.2) and Hgb decrease > 5 g/dL (HR 1.01; 95%CI, 0.74-1.38; p=0.9). The risks of M-GIB and of LT or fatal GIB were lower with LD-E than with warfarin (Figure), as were the risks of M-GIB-related permanent drug discontinuation (HR 0.51; 95% CI, 0.33-0.78, p=0.002), hospitalization (HR 0.67; 95%CI, 0.53-0.85; p=0.001), Hgb decrease > 5 g/dL (HR 0.58; 95%CI, 0.40-0.84; p=0.003), and M-GIB requiring transfusion of > 2 units of red cells (HR 0.66; 95%CI, 0.50-0.89; p=0.006). Fatal GIB occurred in 2, 3 and 7 patients treated with HD-E, LD-E and warfarin, respectively. Conclusions: M-GIB and LT-GIB with edoxaban are dose-dependent. Although the risk of M-GIB is higher with HD-E than warfarin, the risk of LT-GIB or fatal GIB is similar and the severity and outcomes are no worse than with warfarin. The risks of M-GIB, and of LT-GIB or fatal GIB, are lower with LD-E than warfarin.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".