Abstract 15928: D-dimer as a New Biomarker of Aortic Stenosis Progression and Outcomes: Results From the PROGRESSA Study
Bibliographic record
Abstract
Background: Aortic stenosis (AS) induces left ventricular (LV) remodeling and hypertrophy, which are key markers of the transition to heart failure. The present study aimed to evaluate the association between D-dimer plasma levels, LV hypertrophy and mortality with AS. Method: One-hundred and forty-six asymptomatic patients (mean age 65±13, men 76%) with mild or moderate AS prospectively recruited in the PROGRESSA study (NCT01679431) were included in this sub-analysis. All patients underwent Doppler-echocardiography annually to measure AS severity, LV mass indexed to body surface area (LVMi) and myocardial contraction fraction (MCF). The annualized changes in LVMi and MCF were calculated between baseline and last follow up. Results: Higher plasma levels of D-dimers at baseline were significantly associated with faster progression rate of LVMi and MCF (r 2 =0.18 and -0.22, respectively; all p<0.01). On multivariable analysis adjusted for age, sex, comorbidities, creatinine level, peak aortic jet velocity at baseline, D-dimers remained significantly associated with faster change in LVMi and MCF (all, p<0.01). Moreover, in multivariate analysis adjusted for age, sex, AS severity at baseline, higher levels of D-dimer were significantly associated with the progression to a higher grade of AS severity (HR [95% CI] 1.67 [1.14-2.46], p=0.009). During a median follow-up of 8.1 (5.6-9.9) years, 38 (26%) patients died. On multivariable Cox regression analysis, higher levels of D-dimer were associated with an increased risk of all-cause mortality (HR [95% CI]: 1.97 [0.98-1.97], p=0.05). Conclusion: Higher levels of D-dimer are associated with faster progression of AS severity, LV hypertrophy and dysfunction, and increased risk of mortality in patients with AS. This new blood biomarker may improve risk stratification and management of asymptomatic patients with AS. Further studies are needed to determine the mechanisms underlying this association between D-dimer and outcomes 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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".