Abstract 5769: Correlation of Bicuspid Valve Morphology and Pattern of Aortic Root Dilatation: A Substudy of the Aortic Stenosis Progression Observation Measuring Effects of Rosuvastatin (ASTRONOMER) Study
Bibliographic record
Abstract
Bicuspid aortic valve is the leading cause of aortic stenosis in patients younger than the age of 50. A classification scheme of bicuspid aortic valves (BAV) was recently proposed based upon leaflet orientation: Type A (fusion of right and left coronary cusps) and Type B (fusion of right and non-coronary cusps). The correlation between BAV leaflet orientation and aortic root pathology however remains ill defined. To describe a potential relationship between BAV leaflet morphology and aortic root measurements in the ASTRONOMER study, a multicentre study to assess the effect of Rosuvastatin on the progression of AS. Transthoracic echocardiography was performed with 2D and Doppler imaging following a standardized protocol. BAV morphology was classified as Type A or Type B orientation following review of the parasternal short-axis view. Echo measurements including left ventricular and aortic root dimensions were obtained according to the ASE recommendations. We identified 89 patients (56±11 years; 44 males). There were 63 patients with Type A and 26 with Type B BAV. Baseline demographic, hemodynamics, aortic root and left heart dimensions are listed in Table 1 . Patients with Type A BAV had larger aortic and ascending root dimensions than those patients with Type B BAV (p<0.05). Aortic valvular calcification and mitral annular calcification were similar between the two groups. All values are expressed as mean±SD. In patients with mild to moderate asymptomatic BAV, the presence of Type A valve orientation was associated with significantly greater aortic root parameters compared to Type B valve orientation. Whether the morphology of BAV may predict a subset of patients who will respond to statin therapy in preventing the progression of AS remains to be determined upon completion of the ASTRONOMER trial.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".