Abstract 17935: Serum Parathyroid Hormone is Associated with Valvular Calcification but not with Aortic Root or Coronary Artery Calcification in Aortic Valve Stenosis
Bibliographic record
Abstract
Introduction: Several studies have suggested that key regulators of bone metabolism could be involved in pathophysiological pathways of aortic valve stenosis (AS). A recent study reported an association between increased parathyroid hormone (PTH) serum level and faster hemodynamic progression of AS. Hypothesis: The objective of this study was to assess the association between serum PTH levels and: aortic valve calcification (AVC), aorta root calcification (ARC), and coronary artery calcification (CAC) in patients with AS. Methods: Serum PTH levels were drawn in 144 patients with AS, prospectively recruited in the PROGRESSA study. Patients underwent a comprehensive Doppler echocardiography and a multidetector computed tomography (MDCT) within one month. AVC, ARC, and CAC were measured by MDCT. Results: The mean age was 67±12 years (75% male). Median serum PTH was 40.7 ng/L (IQR: 30.4 - 52.5 ng/L). Average peak aortic jet velocity (Vpeak) was 2.9±0.5 m/s and median AVC was 803 AU [IQR: 414 - 1377 AU]. There was a significant correlation between serum PTH levels and AVC (r = 0.18, p=0.03) but not with ARC (r = 0.05, p=0.48) or CAC (r = -0.13, p=0.10). After multivariate analysis adjusted for age, sex, Vpeak, hypertension and creatinine level, serum PTH levels remained independently associated with AVC (p=0.03). Conclusions: In patients with AS, increased serum levels of PTH are associated with higher AVC but not with ARC or CAC. These findings suggest that pathophysiological processes leading to ectopic calcification may be different in the aortic valve versus in the aorta or coronary arteries. Hyperparathyroidism may contribute to the mineralization of the aortic valve and could represent an interesting target of therapy in AS.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".