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Abstract 4119560: Oxidized Phospholipids and Calcific Aortic Valvular Disease

2024· article· en· W4404245967 on OpenAlexaff
Harpreet Bhatia, Marc R. Dweck, Neil Craig, Romain Capoulade, Philippe Pîbarot, Patrick J. Trainor, Seamus P. Whelton, Rishi Rikhi, Kárita Cláudia Freitas Lidani, Wendy S. Post, Michael Y. Tsai, Michael H Criqui, Michael D. Shapiro, Matthew J. Budoff, Andrew P. DeFilippis, George Thanassoulis, Sotirios Tsimikas

Bibliographic record

VenueCirculation · 2024
Typearticle
Languageen
FieldMedicine
TopicAortic Thrombus and Embolism
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsMedicinevalvular heart diseaseCardiologyAortic valveInternal medicineDisease

Abstract

fetched live from OpenAlex

Introduction: Oxidized phospholipids (OxPL) are carried by apolipoprotein B-100-containing lipoproteins (OxPL-apoB) including lipoprotein(a) [Lp(a)]. Both OxPL-apoB and Lp(a) have been associated with calcific aortic valve disease (CAVD). Aims: We aimed to evaluate the independent associations between OxPL-apoB, Lp(a) and the prevalence, incidence, and progression of CAVD. Methods: OxPL-apoB and Lp(a) were evaluated in the Multi-Ethnic Study of Atherosclerosis (MESA) and a participant-level meta-analysis of four randomized trials of participants with established aortic stenosis (AS). In MESA, the association of OxPL-apoB and Lp(a) with aortic valve calcium (AVC) at baseline and 9.5 years was evaluated using multivariable ordinal regression models. In the meta-analysis, the association between OxPL-apoB and Lp(a) with AS progression (annualized change in peak aortic valve jet velocity (V max )) was evaluated using multivariable linear regression models. Results: In MESA, both OxPL-apoB and Lp(a) were independently associated with prevalent AVC (OR (95% CI) per SD: 1.19 (1.07-1.32) and 1.13 (1.01-1.27), respectively) with a significant interaction between the two (p<0.01). Both OxPL-apoB and Lp(a) were associated with incident AVC at 9.5 years when evaluated independently (interaction p<0.01). The OxPL-apoB*Lp(a) interaction demonstrated higher odds of prevalent and incident AVC for OxPL-apoB with increasing Lp(a) levels. Mediation analyses demonstrated that Lp(a) partially mediated the association between OxPL-apoB and AVC. In a 2x2 analysis, the greatest risk for both prevalent and incident AVC was observed when Lp(a) and OxPL-apoB were both above the 80 th percentile ( Figure ). In the meta-analysis, when analyzed separately, both OxPL-apoB and Lp(a) were independently associated with faster increase in V max , but when evaluated together, only OxPL-apoB remained significant (ß 0.07, 95% CI 0.01-0.12, Figure ). Conclusions: OxPL-apoB is an independent predictor of the presence, incidence and progression of AVC and established AS, particularly in the setting of elevated Lp(a) levels and may represent a novel therapeutic target for CAVD.

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)0.005
metaresearch head score (Gemma)0.007
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: none
Teacher disagreement score0.019
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0190.001

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.

Opus teacher head0.019
GPT teacher head0.287
Teacher spread0.267 · 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
Published2024
Admission routes1
Has abstractyes

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