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Abstract 4140204: Relationship of Oxidized Phospholipids and Lp(a) to Outcomes after Acute Coronary Syndrome: A Post Hoc Analysis of the ODYSSEY OUTCOMES Trial

2024· article· en· W4404363725 on OpenAlexaff
Sotirios Tsimikas, Michael Szarek, Christa M. Cobbaert, Esther Reijnders, J. Wouter Jukema, Deepak L. Bhatt, Vera Bittner, Rafael Díaz, Sergio Fazio, Geneviève Garon, Chong Yuan, Xiaomin Gong, Shaun G. Goodman, Robert A. Harrington, H. D. White, Andreas M. Zeiher, Philippe Gabríel Steg, Gregory G. Schwartz

Bibliographic record

VenueCirculation · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEicosanoids and Hypertension Pharmacology
Canadian institutionsSt. Michael's HospitalSanofi (Canada)
Fundersnot available
KeywordsMedicinePost-hoc analysisAcute coronary syndromePost hocInternal medicineCardiologyMyocardial infarction

Abstract

fetched live from OpenAlex

Background: Oxidized phospholipids (OxPL) are preferentially carried by and contribute to the pro-inflammatory properties of lipoprotein(a) [Lp(a)]. OxPL can be quantitated on all apolipoprotein B-100 containing lipoproteins (OxPL-apoB), a dominant proportion of which are present on Lp(a) particles. Objectives: To assess the effect of PCSK9 inhibition by alirocumab on plasma levels of OxPL-apoB, and the relationship to Lp(a) and major adverse cardiovascular events (MACE) in patients with a recent acute coronary syndrome (ACS) on optimized statin treatment. Methods: OxPL-apoB (Diazyme, Inc) and Lp(a) (TinaQuant, Roche Diagnostics) were measured at baseline (1-12 months after ACS) in a subset of participants in the ODYSSEY OUTCOMES trial with samples available at baseline (prior to randomization to alirocumab or placebo, n=11,630) and log 2 -transformed. Proportional hazards models adjusted for 12 baseline covariates evaluated the association of predictor variables (OxPL-apoB and Lp(a)) with MACE (coronary heart disease death, non-fatal MI, ischemic stroke, and hospitalized unstable angina) and all-cause death, with HRs for doubling of the predictor variable. Results: Baseline OxPL-apoB correlated with Lp(a) (r=0.68, p<0.001). At 4-months, ALI reduced median (IQR) PBO-corrected OxPL-apoB by 15%, P<0.001. In the placebo group, when analyzed in separate models with multivariable adjustment, pre-randomization OxPL-apoB (HR (95% CI) 1.081 (1.026-1.139), p=0.003) and Lp(a) (HR (95% CI) 1.080 (1.041-1.120), p<0.001) each predicted MACE. However, when OxPL-apoB and Lp(a) were placed in the same model only Lp(a) remained significant (HR (95% CI) 1.069 (1.023, 1.118), p=0.003). In the alirocumab group, neither baseline OxPL-apoB nor Lp(a) predicted MACE in individual or joint models. Baseline high sensitivity C-reactive protein predicted all-cause death, but OxPL-apoB and Lp(a) did not. Conclusions: In statin-treated patients with recent ACS assigned to placebo, the increased risk of MACE due to elevated OxPL-apoB appears to be mainly driven by their presence on Lp(a). In patients assigned to alirocumab, these variables were not predictive of MACE, suggesting mitigation of OxPL-apoB and Lp(a)-mediated risk by alirocumab.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.004
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.296
Teacher spread0.279 · 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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Citations2
Published2024
Admission routes1
Has abstractyes

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