Abstract P3: Andexanet Alfa for Acute Bleeding During Treatment With Edoxaban
Bibliographic record
Abstract
Introduction: We previously reported results of a prospective cohort study evaluating andexanet alfa (andexanet) for anticoagulation reversal in patients with acute bleeding on a factor Xa inhibitor. Study enrollment continued to accumulate additional data on patients on edoxaban, which are presented here. Methods: Patients with acute major bleeding within 18 hours of edoxaban intake were prospectively enrolled. Patients received a 400 or 800 mg bolus and a 480 or 960 mg 2-hour follow-on infusion of andexanet, depending on edoxaban dosage and time of last dose. The co-primary efficacy outcomes were change in anti-factor Xa activity and the rate of excellent or good hemostasis, 12 hours after andexanet treatment, as determined by an independent adjudication committee. Efficacy was analyzed in patients with confirmed major bleeding and baseline anti-factor Xa activity ≥75 ng/mL. Safety was analyzed in all patients. Results: A total of 36 patients (mean age 82 years, 61.1% male and 91.7% with atrial fibrillation) with acute major bleeding on edoxaban received andexanet. The primary site of bleeding was intracranial in 29 (80.6%) patients. In the efficacy population (n=20), median anti-factor Xa activity decreased from 160.5 (interquartile range [IQR] 106.2-222.2) ng/mL at baseline to 50.9 (IQR 19.9-119.4) ng/mL at the end of bolus (median decrease 69.2%, 95% confidence interval [CI] 25.5-80.2%). Excellent or good hemostasis at 12 hours was achieved in 75.0% (95% CI 50.9-91.3%) of patients overall and in 81.3% (95% CI 54.4-96.0%) of those with intracranial hemorrhage (ICH). Within 30 days, a total of 4 (11.1%) patients experienced at least one thrombotic event and 4 (11.1%) others died. Conclusions: In patients with acute bleeding on edoxaban, andexanet significantly decreased anti-factor Xa activity. Excellent or good hemostasis at 12 hours was observed in 75.0% of patients overall and 81.3% of those with ICH. Thrombotic events occurred at a rate expected in such patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".