Impact of age on aortic valve calcium progression and risk for aortic stenosis: multi-ethnic study of atherosclerosis
Bibliographic record
Abstract
AIMS: Aortic valve calcium (AVC) is strongly associated with the risk for severe aortic stenosis (AS). The prevalence of AVC increases with age, but the impact of age on the progression of AVC and its association with moderate-severe AS is unknown. METHODS AND RESULTS: Our study included 6810 participants (52.9% women) without overt cardiovascular disease between ages 45 and 84 from the Multi-Ethnic Study of Atherosclerosis. AVC was measured using non-contrast cardiac CT at Visit 1. Progression was calculated as the change in AVC divided by years between CT scans (2-10 years). Incident moderate-severe AS was adjudicated using medical chart review and echocardiogram data from Visit 6 (median follow-up of 16 years). The association between AVC and moderate-severe AS was assessed using multivariable adjusted Cox proportional hazards ratios. There were 5899 participants with AVC = 0 and 911 with AVC >0. There were 3834 participants age <65 years and 2979 age ≥65 years. The median AVC was 34.1 AU (IQR 13-1113) for participants <65 vs. 69.0 AU (IQR 23-2453) for participants ≥65. Participants <65 and ≥65 years had no significant difference in median annualized AVC progression within the baseline AVC categories of 1-99 (10 vs. 12 AU/year, P = 0.303) and AVC ≥100 (50 vs. 47 AU/year, P = 0.846). AVC >0 was associated with a similar significantly higher risk of incident moderate-severe AS for both younger (HR 13.37; 95% CI 5.67-31.52) and older participants (HR 10.59, 95% CI 6.77-16.56). CONCLUSION: AVC progression was significantly associated with baseline AVC burden and was similar for younger vs. older persons after accounting for baseline AVC. The presence of AVC was significantly associated with a higher long-term risk for moderate-severe AS among both younger and older participants.
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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) | 0.001 | 0.005 |
| 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".