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.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".