Abstract 14307: Reduction in the Risk of Major Adverse Cardiovascular Events With Apabetalone, a Bet Protein Inhibitor, in Patients With Recent Acute Coronary Syndrome and Type 2 Diabetes According to Insulin Treatment: Analysis of the Betonmace Trial
Bibliographic record
Abstract
Introduction: Use of insulin has been associated with worse CV outcomes in patients (pts) with type 2 diabetes T2D. Apabetalone (APB) is a novel selective inhibitor of bromodomain and extra-terminal (BET) proteins, epigenetic regulators of gene expression. In the Phase 3 BETonMACE trial treatment with APB, compared with placebo, resulted in non-significantly fewer major adverse CV events (MACE: CV death, non-fatal MI or stroke) in 2425 pts with T2D and recent acute coronary syndrome (ACS). Objective: In this analysis of BETonMACE we examined the relationship of insulin use to MACE risk and its modification by APB. Methods: Baseline characteristics were compared in insulin-treated (INS) or not insulin-treated (no-INS) pts. The incidence of MACE and treatment hazard ratio (HR) were compared between these two subgroups. Results: 829 (34.2%) pts received insulin at baseline, with or without other diabetes drugs. INS vs no-INS pts were more likely to be female (29 vs 24%), had longer duration of T2D (12.6 vs 6.4 yrs), higher HbA1c (8.4 vs 6.9%) and baseline glucose (156 vs 126 mg/dL), lower use of metformin (73 vs 87%) and sulfonylureas (21 vs 33 %), and higher use of SGLT2 inhibitors (16 vs 6%) and GLP1 receptor agonists (10 vs 2%). MACE in the placebo group was higher in INS than no-INS (17.4% vs 9.7%; HR 1.94; 95% CI 1.39-2.73; p=0.0001). Overall, APB was associated with fewer MACE (HR 0.82, 95% CI 0.65-1.04, p=0.11). The relative reduction in MACE with ABP was similar in INS (HR 0.78, 95% CI. 0.55-1.10, p=0.16) and no-INS (HR 0.87, 95% CI 0.63-1.21, p = 0.42, p interaction =0.64). The absolute reduction in MACE with APB was numerically greater among INS than non-INS (3.69 vs 1.30%). Conclusions: Pts with T2D and recent ACS treated with insulin are at high risk for MACE. High risk of MACE with insulin use is likely through association with other clinical characteristics prognostic for MACE. Insulin treatment may be a marker to identify pts with potential for large absolute reduction in MACE with APB.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".