Abstract 453: Ceruloplasmin and Cardiovascular Disease in the Atherosclerosis Risk in Communities (ARIC) Study
Bibliographic record
Abstract
Background: Ceruloplasmin (Cp) is an enzyme that enhances low density lipoprotein oxidation and decreases nitric oxide bioavailability. Hence, a role for Cp in cardiovascular disease has been suggested. We evaluated if levels of Cp are associated with incident coronary heart disease events (CHD), incident heart failure (HF) and death in the ARIC Study. Methods: Cp was measured by immunoturbidimetric assay at ARIC Visit 4 (1996-1998). In the subgroup of individuals without CHD, stroke or HF at visit 4 (N=9553), using Cox regression modeling we analyzed the association of Cp levels with CHD, HF and death (mean follow up = 10.5 years). Results: Cp levels [mean(SD), mg/L] were higher in blacks vs whites [311(70) vs 298(78), p < 0.001] in women vs men [333(79) vs 256(44), p < 0.001] and in women on hormone replacement therapy (HRT) vs those not on it [382(89) vs 315(67), p < 0.001]. Cox regression models adjusted for age, sex, race, ARIC site, traditional cardiovascular risk factors and HRT use showed (highest vs lowest quartile) a significant association of Cp with HF (HR 1.66, 95% CI 1.31-2.12) and death (HR 1.57, 95% CI 1.30-1.89) but no association with CHD (HR 1.15, 95% CI 0.93-1.44). The association with HF and death persisted after adjusting for hs-CRP, NT-pro BNP, estimated GFR and high sensitivity cardiac troponin T. Subgroup analyses by sex and race showed similar results except for CHD where the association was significant in whites (HR 1.34, 95% CI 1.04-1.71) and for HF where there was no significant association in blacks (HR 1.26, 95% CI 0.85-1.86). Conclusions: Cp was associated with HF and death but not with CHD in the overall ARIC population. High Cp was associated with CHD only in whites.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".