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Record W2623775617 · doi:10.1161/atvb.36.suppl_1.39

Abstract 39: Platelet Reactivity to Prostaglandin E2 is a Novel Modifiable Risk Factor for St-Elevation Myocardial Infarction

2016· article· en· W2623775617 on OpenAlexaff
Eitan Friedman, Elias V. Haddad, Valentinas Joksas, Shi Huang, Meng Xu, Olivier Boutaud

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsTitan Medical (Canada)
Fundersnot available
KeywordsMedicineMyocardial infarctionPlateletInternal medicinePercutaneous coronary interventionThromboxanePhenotypeCardiologyPlatelet activationThromboxane A2Prostaglandin ELogistic regressionReceptorThromboxane B2EndocrinologyBiologyBiochemistry

Abstract

fetched live from OpenAlex

Background: Patients with lower thresholds for platelet activation are at increased risk for primary and recurrent myocardial infarction (MI) and overall cardiovascular (CV) mortality. We have demonstrated that there are two phenotypes of platelet response to Prostaglandin E 2 (PGE 2 ), such that it increases threshold for aggregation in 45% of individuals (inhibitory) and lowers threshold for aggregation in 55% (potentiating). As PGE 2 is present in atherosclerotic plaques, and its receptors are present on platelets, biologic variability in PGE 2 responses may have clinical implications. We hypothesized that patients with higher thresholds for platelet activation would have a lower risk of thrombotic CV events, specifically ST-Elevation MI (STEMI). Methods: 85 patients undergoing percutaneous coronary intervention for stable or unstable coronary disease were phenotyped for PGE 2 response. Platelet rich plasma was treated with various concentrations of U46,619 (thromboxane agonist) with or without PGE 2 100 nM, and phenotype determined by light aggregometry. Analysis of the maximum PGE 2 effect (maximum aggregation with PGE 2 minus maximum aggregation without it) was performed using linear and non-linear statistical methods. Results: Traditional cardiovascular risk factors were similar between groups. A higher percentage of patients with the potentiating phenotype had a history of STEMI than those with the inhibitory phenotype. Logistic regression using restricted cubic spline showed that the predicted probabilities of STEMI increased from 0.04 (at the strongest inhibitory phenotype) to 0.43 (at the median phenotype). The OR of phenotype at the median relative to that at the 10th quantile was 7.4 (95 % CI=1.6, 34.8). Conclusions: PGE 2 inhibitory phenotype confers a decreased lifetime risk of STEMI in individuals at high risk for CV events. We have previously shown that an EP3 receptor antagonist converts the potentiating to the inhibitory phenotype. Thus, the PGE2 phenotype may be a novel marker of cardiovascular risk that may also identify patients who would benefit from an EP3 antagonist.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.067
GPT teacher head0.331
Teacher spread0.264 · 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 designBench or experimental
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
Published2016
Admission routes1
Has abstractyes

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