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Record W4387218592 · doi:10.1161/jaha.123.030288

Relationship Between Time‐Varying Achieved High‐Density Lipoprotein Cholesterol and Risk of Coronary Events Depends on Haptoglobin Phenotype Within the ACCORD Lipid Study

2023· article· en· W4387218592 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of the American Heart Association · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHemoglobin structure and function
Canadian institutionsNova Scotia Health AuthorityDalhousie University
FundersNational Institutes of Health
KeywordsMedicineHaptoglobinInternal medicinePhenotypeHazard ratioCholesterolLipoproteinDiabetes mellitusProportional hazards modelCoronary artery diseaseHigh-density lipoproteinEndocrinologyConfidence intervalGeneticsBiologyGene

Abstract

fetched live from OpenAlex

Background The Hp (haptoglobin)2‐2 phenotype (~40% of people) is associated with dysfunctional high‐density lipoprotein (HDL) that is heavily oxidized in hyperglycemia, which may explain why raising HDL‐cholesterol (HDL‐C) does not reliably prevent coronary artery disease (CAD) in diabetes. Methods and Results In this observational study using longitudinal data from the ACCORD (Action to Control Cardiovascular Risk in Diabetes) lipid trial, time‐varying (achieved) HDL‐C updated at 4, 8, and 12 months, and annually thereafter over a mean of 4.7 years, was analyzed in relation to risk of CAD and secondary outcomes using Cox proportional hazards regression with time‐varying covariables among participants with (n=1781) and without (n=3191) the Hp2‐2 phenotype. HDL‐C did not differ between the phenotypes throughout the study. Having low HDL‐C (<40 mg/dL for male participants and <50 mg/dL for female participants) was associated with a greater risk of CAD compared with non‐low HDL‐C among participants with the non‐Hp2‐2 phenotype (hazard ratio [HR], 1.48 [95% CI, 1.18–1.87]) but not among the Hp2‐2 phenotype (HR, 0.97 [95% CI, 0.70–1.35]; P interaction=0.03). Similarly, an inverse relationship was observed between HDL‐C quintiles and CAD risk among participants without the Hp2‐2 phenotype, whereas no significant inverse relationship was observed among participants with the Hp2‐2 phenotype ( P interaction=0.38). Among the Hp2‐2 phenotype group, having low HDL‐C was associated with higher risk of CVD mortality (HR, 2.09 [95% CI, 1.05–4.13]), and compared with the lowest HDL‐C quintile, higher quintiles were associated with lower risk of CVD mortality and congestive heart failure. Conclusions Hp phenotype modified the association between HDL‐C and risk of CAD in the ACCORD lipid study, suggesting that HDL dysfunction in the Hp2‐2 phenotype may hinder CAD‐protective properties of HDL‐C.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.259
Teacher spread0.246 · 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