Prevention of Cardiovascular Events and Mortality With Icosapent Ethyl in Patients With Prior Myocardial Infarction
Bibliographic record
Abstract
BACKGROUND: REDUCE-IT was a double-blind trial that randomized 8,179 statin-treated patients with controlled low-density lipoprotein cholesterol and moderately elevated triglycerides to icosapent ethyl (IPE) or placebo. There was a significant reduction in the primary endpoint, including death from cardiovascular (CV) causes. The specific impact of IPE among patients with prior myocardial infarction (MI) was unknown. OBJECTIVES: Our goal was to examine the benefit of IPE on ischemic events among patients with prior MI in REDUCE-IT. METHODS: We performed post hoc analyses of patients with prior MI. The primary endpoint was CV death, MI, stroke, coronary revascularization, or hospitalization for unstable angina. The key secondary endpoint was CV death, MI, or stroke. RESULTS: A total of 3,693 patients had a history of prior MI. The primary endpoint was reduced from 26.1% to 20.2% with IPE vs placebo; HR: 0.74 (95% CI: 0.65-0.85; P = 0.00001). The key secondary endpoint was reduced from 18.0% to 13.3%; HR: 0.71 (95% CI: 0.61-0.84; P = 0.00006). There was also a significant 35% relative risk reduction in total ischemic events (P = 0.0000001), a 34% reduction in MI (P = 0.00009), a 30% reduction in CV death (P = 0.01), and a 20% lower rate of all-cause mortality (P = 0.054), although there was a slight increase in atrial fibrillation. Sudden cardiac death and cardiac arrest were also significantly reduced by 40% and 56%, respectively. CONCLUSIONS: Patients with a history of prior MI in REDUCE-IT treated with IPE demonstrated large and significant relative and absolute risk reductions in ischemic events, including CV death. (A Study of AMR101 to Evaluate Its Ability to Reduce Cardiovascular Events in High Risk Patients With Hypertriglyceridemia and on Statin. The Primary Objective is to Evaluate the Effect of 4 g/Day AMR101 for Preventing the Occurrence of a First Major Cardiovascular Event. [REDUCE-IT]; NCT01492361).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 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".