Abstract 19342: High-Sensitivity C-Reactive Protein Effects of Icosapent Ethyl (Eicosapentaenoic Acid Ethyl Ester) With and Without Stable Statin Therapy in Hypertriglyceridemic Patients With Metabolic Syndrome
Bibliographic record
Abstract
Introduction: Elevated high-sensitivity C-reactive protein (hsCRP) is a marker for increased cardiovascular disease (CVD) risk. The metabolic syndrome (MetSyn) is a collection of CVD risk factors and includes high triglyceride (TG) levels as a diagnostic criterion. Statins reduce hsCRP. The combination of eicosapentaenoic acid (EPA) and/or docosahexaenoic acid (DHA) has not been shown to consistently lower hsCRP levels. Icosapent ethyl (IPE; formerly AMR101) is a high-purity prescription form of EPA ethyl ester approved to reduce TG levels in patients with severe (>=500 mg/dL) hypertriglyceridemia. Hypothesis: We evaluated the relative hsCRP effects of IPE in patients with and without statin therapy among hypertriglyceridemic patients with MetSyn. Methods: The MARINE study was a multicenter, placebo-controlled, double-blind, 12-week study of 229 randomized patients with TG >=500 and <=2000 mg/dL. This analysis evaluated the effect of IPE on hsCRP in a subset of patients from the MARINE study with MetSyn. Results: The MARINE study included 204 patients from the intent-to-treat population with MetSyn. Compared to placebo, IPE 4 g/day significantly reduced blood levels of TG (35%; p<0.0001), non-high-density lipoprotein cholesterol (19.9%, p<0.0001), apo B (9.1%, p=0.0015), and hsCRP (40%, p=0.0007), without a significant increase in low-density lipoprotein cholesterol. IPE 4 g/day also reduced hsCRP levels by 27.6% (p=0.0385) and 78.0% (p=0.0035) compared to placebo in non-statin-treated (n=48) and statin-treated patients (n=16), respectively. Conclusion: Compared to placebo, when administered to hypertriglyceridemic patients with MetSyn, IPE 4 g/day improved lipid levels and reduced hsCRP. Compared to placebo, IPE reduced hsCRP more in stable statin-treated patients than in those not treated with statins.
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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) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".