Abstract 13993: Impact of Prasugrel Pretreatment and Timing of Coronary Artery Bypass Grafting on Clinical Outcomes of Patients With Non-ST-Segment Elevation Myocardial Infarction: From the Accoast Study
Bibliographic record
Abstract
Objectives: We evaluated the impact of prasugrel pretreatment and timing of coronary artery bypass grafting (CABG) on clinical outcomes of patients with non-ST-segment elevation myocardial infarction (NSTEMI) undergoing CABG based on data from ACCOAST. Methods: We evaluated the impact of troponin, prasugrel pretreatment and CABG timing on clinical outcomes of NSTEMI patients undergoing CABG through 30 days from ACCOAST. Results: CABG patients versus PCI or medically managed patients were more often male, diabetic, had peripheral arterial disease and a higher GRACE score. By randomization assignment, 157 patients received a 30-mg loading-dose of prasugrel before CABG; 157 patients did not. CABG patients were grouped by tertiles of time from randomization to CABG; baseline characteristics in the Table. Patients in the lowest tertile had significantly more events (cardiovascular death, MI, stroke, urgent revascularization or glycoprotein IIb/IIIa bailout) and all TIMI major bleeds than those in the other 2 groups (p<0.045, p<0.002 respectively), but the patients in the higher 2 groups were not significantly different from each other. No difference was detected in all cause death among the 3 groups (p>0.39). A multivariate model evaluated 5 possible predictors of the composite endpoint of all cause death, MI, stroke and TIMI major bleeding. Time from randomization to CABG (HR 0.84 for each 1 hour of delay), left main disease presence (HR 1.76), and region of enrollment (Eastern Europe vs other, HR 3.83) were significant predictors but not prasugrel pretreatment or baseline troponin level ≥3xULN. Conclusions: In this group of high-risk patients presenting with NSTEMI, early surgical revascularization carried an increased risk of bleeding and ischemic complications, without impact on all-cause mortality. No impact of baseline troponin or prasugrel pretreatment (important factors influencing time of CABG) on clinical outcomes was confirmed.
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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) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".