Benefit of icosapent ethyl across types and sizes of myocardial infarction in REDUCE-IT
Bibliographic record
Abstract
AIMS: We studied the efficacy and safety of icosapent ethyl (IPE) 4g daily in reducing the risk of myocardial infarction (MI) across different MI subtypes and sizes, among REDUCE-IT high-risk patients with hypertriglyceridemia. METHODS: REDUCE-IT was a phase 3b, double-blind multicenter trial. Patients with established CVD or diabetes who were treated with statins and had moderate hypertriglyceridemia were randomized to receive IPE 4g daily or placebo. The current analysis focused on MI subtypes (fatal MI, nonfatal MI, ST-segment elevation MI (STEMI), non-STEMI (NSTEMI)), as well as MI size (measured by multiples of troponin upper limit of normal) and MI-related complications. Safety outcomes included treatment emergent adverse events (TEAEs), bleeding, atrial fibrillation, and flutter. RESULTS: At 5.7 years follow-up, MI incidence was lower with IPE compared with placebo (8.6% vs 12.0%), hazard ratio (HR) 0.69 (95% CI 0.58-0.81, P<0.0001). STEMI incidence was lower with IPE (2.7% vs 3.9%, HR 0.60, 95% CI 0.44-0.81, P=0.0008), as was NSTEMI incidence (5.9% vs 7.8%, HR 0.73, 95% CI 0.60-0.89, P=0.001). Fatal and nonfatal MIs were reduced with IPE (HR 0.55, 95% CI 0.30-1.01, P=0.05 and HR 0.70, 95% CI 0.59-0.82, P<0.0001, respectively). Stratification by size revealed IPE reduced most MIs, but the protective effect was higher for larger MIs (P<0.0001). Further analyses showed benefits in MI-related outcomes, including reductions in spontaneous MI and MI-related complications. Among patients who developed MI, safety outcomes showed no significant increase in serious bleeding, atrial fibrillation or flutter, or adverse events with IPE. CONCLUSION: IPE significantly reduced MI across most subtypes and sizes in statin-treated patients with elevated triglycerides at increased cardiovascular risk. TRIAL REGISTRATION: ClinicalTrials.gov Identifier NCT01492361.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".