Abstract 12542: Effectiveness of Icosapent Ethyl on First and Total Cardiovascular Events in the Metabolic Syndrome: REDUCE-IT MetSyn
Bibliographic record
Abstract
Introduction: The Metabolic Syndrome (MetSyn) is associated with persistently high risk of cardiovascular (CV) events despite statin treatment. Methods: REDUCE-IT was a multinational, double-blind trial that randomized 8179 high CV risk statin-treated patients with controlled low density lipoprotein cholesterol, and elevated triglycerides, to icosapent ethyl (IPE) 4 grams/day or placebo. In the overall trial, IPE reduced the risk of the primary composite endpoint (CV death, nonfatal myocardial infarction, nonfatal stroke, coronary revascularization or hospitalization for unstable angina) and the key secondary composite endpoint (CV death, nonfatal myocardial infarction or nonfatal stroke). Here we examine the prespecified patient subgroup with a history of MetSyn, but without diabetes at baseline. Results: Compared with placebo, IPE use in patients with MetSyn at baseline (n=2866) was associated with a 29% relative risk reduction for the primary composite endpoint (hazard ratio [HR], 0.71 [95% CI, 0.59-0.84]; P <0.0001, absolute risk reduction [ARR]=5.9%; number needed to treat [NNT]=17) and 41% reduction in total (first plus subsequent) events (rate ratio [RR], 0.59 [95% CI, 0.48-0.72]; P <0.0001) (Figure 1). The risk for the key secondary composite endpoint was reduced by 20% (P=0.05) with a 27% reduction in fatal/nonfatal MI (P=0.03), 47% reduction in urgent/emergent revascularization (P <0.0001) and 58% reduction in hospitalization for unstable angina (P <0.0001). Non-statistically significant reductions were observed in fatal/nonfatal stroke (27%), cardiac arrest (44%) and sudden cardiac death (34%). Conclusions: In statin-treated patients, the addition of IPE significantly reduced the risk of first and total CV events in REDUCE-IT patients with a history of MetSyn. The large relative and absolute risk reductions observed support IPE as a therapeutic consideration for high CV risk patients with MetSyn.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.008 | 0.001 |
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".