Effect of Apabetalone on Cardiovascular Events in Diabetes, CKD, and Recent Acute Coronary Syndrome
Bibliographic record
Abstract
Background and objectives CKD and type 2 diabetes mellitus interact to increase the risk of major adverse cardiovascular events ( i.e. , cardiovascular death, nonfatal myocardial infarction, or stroke) and congestive heart failure. A maladaptive epigenetic response may be a cardiovascular risk driver and amenable to modification with apabetalone, a selective modulator of the bromodomain and extraterminal domain transcription system. We examined this question in a prespecified analysis of BETonMACE, a phase 3 trial. Design, setting, participants, & measurements BETonMACE was an event-driven, randomized, double-blind, placebo-controlled trial comparing effects of apabetalone versus placebo on major adverse cardiovascular events and heart failure hospitalizations in 2425 participants with type 2 diabetes and a recent acute coronary syndrome, including 288 participants with CKD with eGFR <60 ml/min per 1.73 m 2 at baseline. The primary end point in BETonMACE was the time to the first major adverse cardiovascular event, with a secondary end point of time to hospitalization for heart failure. Results Median follow-up was 27 months (interquartile range, 20–32 months). In participants with CKD, apabetalone compared with placebo was associated with fewer major adverse cardiovascular events (13 events in 124 patients [11%] versus 35 events in 164 patients [21%]; hazard ratio, 0.50; 95% confidence interval, 0.26 to 0.96) and fewer heart failure–related hospitalizations (three hospitalizations in 124 patients [3%] versus 14 hospitalizations in 164 patients [9%]; hazard ratio, 0.48; 95% confidence interval, 0.26 to 0.86). In the non-CKD group, the corresponding hazard ratio values were 0.96 (95% confidence interval, 0.74 to 1.24) for major adverse cardiovascular events, and 0.76 (95% confidence interval, 0.46 to 1.27) for heart failure–related hospitalization. Interaction of CKD on treatment effect was P =0.03 for major adverse cardiovascular events, and P =0.12 for heart failure–related hospitalization. Participants with CKD showed similar numbers of adverse events, regardless of randomization to apabetalone or placebo (119 [73%] versus 88 [71%] patients), and there were fewer serious adverse events (29% versus 43%; P =0.02) in the apabetalone group. Conclusions Apabetalone may reduce the incidence of major adverse cardiovascular events in patients with CKD and type 2 diabetes who have a high burden of cardiovascular disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".