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Icosapent ethyl reduces cardiovascular risk across apolipoprotein b and fasting triglyceride rich lipoprotein levels

2025· article· en· W7128038288 on OpenAlexaff
W A Malick, D L Bhatt, P G Steg, M Miller, E A Brinton, S B Ketchum, A Lira Pineda, R L Dunbar, J C Tardif, F M A C Martens, C M Ballantyne

Bibliographic record

VenueEuropean Heart Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsApolipoprotein BQuartileTriglycerideResidual riskDiabetes mellitusLipoproteinMaceCholesterol

Abstract

fetched live from OpenAlex

Abstract Background/Introduction Increased apolipoprotein B (ApoB) levels due to triglyceride rich lipoproteins (TRLs) are associated with increased cardiovascular risk, even when low-density lipoprotein cholesterol (LDL-C) levels are well controlled. In the REDUCE-IT cardiovascular outcomes trial, icosapent ethyl (IPE) showed cardiovascular risk reduction in patients with residual elevated triglycerides (TGs) persisting on statin therapy, but the impact of IPE on cardiovascular risk reduction across ApoB and TRL-cholesterol (TRL-C) strata is unclear. Purpose To study the impact of IPE on major adverse cardiovascular events (MACE) stratified by ApoB and fasting TRL-C. Methods REDUCE-IT was an international, double-blind, placebo-controlled study of 8,179 participants receiving statin therapy with established cardiovascular disease or age ≥ 50 years with diabetes and ≥ 1 additional risk factor, fasting TG level of 1.52 to 5.63 mmol/L (135 to 499 mg/dL) and LDL-C level of 1.06 to 2.59 mmol/L (41 to 100 mg/dL). Patients were randomized to receive 2 grams twice daily of IPE or matching placebo. Relationships between quartiles of baseline ApoB concentration, baseline fasting TRL-C and risk for first and total MACE were analyzed. Results Baseline ApoB and fasting TRL-C concentrations were available in 8,107 (99.1%) and 8,157 (99.7%) participants, respectively. Median baseline ApoB concentration was 0.82 g/L (IQR: 0.72 – 0.93 g/L) [82.0 mg/dL (IQR: 72.0 – 93.0 mg/dL)] and median baseline fasting TRL-C concentration was 0.80 mmol/L (IQR: 0.69 – 0.95 mmol/L) [31.0 mg/dL (IQR: 26.6 – 36.8 mg/dL)]. From the first through fourth baseline quartiles of ApoB, IPE resulted in significant reductions in MACE, HR 0.72 (95% CI 0.58, 0.88), HR 0.73 (95% CI 0.59, 0.89), HR 0.76 (95% CI 0.63, 0.91), and HR 0.80 (95% CI 0.66, 0.97), respectively (all P ≤ 0.02) (Figure 1). The first quartile of fasting TRL-C had a borderline reduction in MACE (HR 0.82, 95% CI 0.67, 1.00) (P = 0.05) (Figure 2), in contrast to significant reductions above the 25th percentile, HR 0.74 (95% CI 0.60, 0.90), HR 0.79 (95% CI 0.65, 0.96), and HR 0.68 (95% CI 0.56, 0.82), from the second through fourth quartiles, respectively (all P ≤ 0.02). Conclusion IPE significantly reduced MACE across all quartiles of baseline ApoB and TRL-C concentrations above the 25th percentile.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.037
GPT teacher head0.317
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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