Abstract 11928: Galectin-3 is Associated With Adverse Cardiovascular Outcomes in Asymptomatic Individuals in the Atherosclerosis Risk In Communities (ARIC) Study
Bibliographic record
Abstract
Introduction: Although galectin-3, an indicator of myocardial fibrosis, provides prognostic value in patients with established heart failure, its prognostic significance in a diverse, asymptomatic population is largely uncharacterized. Objectives: We measured plasma galectin-3 in 9255 individuals free of cardiovascular disease at baseline (visit 4, 1996-1998) and evaluated prospective associations with incident coronary heart disease (CHD), heart failure (HF) hospitalization, ischemic stroke, or total mortality in the biracial Atherosclerosis Risk in Communities (ARIC) study. Methods: Outcome incident rates were expressed as number of events per 1,000 patient years. Cox proportional hazard regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals for the association of quartiles of galectin-3 with each outcome. The models were adjusted for age, gender, race, total cholesterol, HDL cholesterol, SBP, anti-hypertensive medication, current smoking, diabetes status, estimated GFR, and log NT-proBNP. Interactions for race and sex were ascertained by adding a cross-product of race or sex and galectin-3 in the model. Results: In the adjusted model, increasing quartiles of galectin-3 were independently associated with incident CHD, HF, and mortality ( Table ), with the highest HR for HF. The relationship was not significantly modified by gender or race, except for CHD where galectin-3 was associated with increased risk in whites but not blacks (interaction p=0.04). Galectin-3 quartiles were not associated with incident stroke in adjusted analysis. Conclusion: In a large, bi-racial cohort of individuals free of CVD at baseline, galectin-3 is associated with increased risk of incident CHD, HF, and death. These data implicate myocardial fibrosis in the development of CVD in a community-based population of black and white adults.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".