Abstract 1320: Reduced Fetuin-A Plasma Level is Associated with Faster Stenosis Progression and Increased Valvular Calcification in the Elderly Patients with Aortic Stenosis
Bibliographic record
Abstract
Background: Fetuin A is a circulating calcium-regulatory glycoprotein that inhibits ectopic and vascular calcification. Aortic stenosis (AS) is a disease process involving an active calcification of the aortic valve (AV). Its prevalence increases markedly with aging. We examined the association between plasma level of Fetuin A and disease progression in AS Methods and Results: 114 patients operated for AS, were divided into 2 groups according to their age: the young and middle-age group included the first (25–65 y-o) and second (66–74 y-o) tertiles and the elderly group included the last tertile (range 75–88 y-o). Plasma Fetuin-A level was determined by Elisa method and calcium content of the AV by a chelator quantitative method respectively. The annualized progression rate of the disease was calculated for the subset of patients in whom at least 2 transthoracic echocardiography separated by at least 6 months were available pre-operatively. In the elderly group, the preoperative progression rate of the maximum transvalvular gradient was 2-fold faster in patients with decreased plasma Fetuin-A level <0.36 ng/ml (median value) when compared to those with higher level of Fetuin-A (10±4 vs. 5±3 mmHg, p=0.01). Moreover, there was a significant correlation between calcium content of the AV explanted at the time of surgery and Fetuin-A plasma level (R=0.37, p<0.01). After adjusting for age, gender, bicuspid AV, creatinine, Fetuin-A remained significantly associated with AV calcification (R 2 =0.26, p=0.02). There was no correlation between Fetuin-A level and AV calcium content or AS progression in the younger patients group (R=0.06, p=0.62 and R=0.05, p=0.76, respectively) Conclusion: In the elderly patients, decreased level of Fetuin-A may contribute to enhanced valvular calcification and accelerated stenosis progression
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".