Genetic Diagnosis and the Severity of Cardiovascular Phenotype in Patients With Elastin Arteriopathy
Bibliographic record
Abstract
Background: Elastin insufficiency causes recurrent vascular stenoses. Hemizygous deletion of the elastin gene ( ELN ) causes Williams-Beuren syndrome (WBS), while single nucleotide variants in ELN cause nonsyndromic supravalvar aortic stenosis (SVAS). Our objective was to compare cardiovascular disease outcomes in patients with WBS and nonsyndromic SVAS. Methods: Patients (81 WBS, 42 nonsyndromic SVAS) with cardiovascular disease were included in this retrospective single center study. Freedom from surgical and catheter interventions and reinterventions was compared. Vascular tissue from 8 patients and 6 controls was analyzed for arterial wall architecture. Results: Patients with nonsyndromic SVAS presented at a younger age (median 0.3 [0.4–0.7] years) compared with patients with WBS (1.3 [0.2–3.0] years) and had lower freedom from surgical/catheter interventions compared with patients with WBS, with median event-free survival 1.1 (0.3–5.9) versus 4.7 (2.4–13.3) years, respectively (hazard ratio, 1.62 [95% CI, 1.02–2.56]; P =0.04). Patients with nonsyndromic SVAS also had a lower freedom from reinterventions ( P =0.054 by log-rank test). This was related in part to a higher frequency of primary and reinterventions for concomitant valvar aortic stenosis. Histology revealed abnormal intimal and medial thickening, disorganized and fragmented elastic fibers, reduced smooth muscle calponin expression, and increased macrophage marker, CD68, expression in the arterial walls in patients with WBS and nonsyndromic SVAS compared with controls. Conclusions: Patients with nonsyndromic SVAS require early and more frequent vascular and valvular interventions and reinterventions, in particular for concomitant valvar aortic stenosis compared with patients with WBS. This provides important prognostic information to guide counseling of affected families with cardiovascular disease and may guide primary intervention strategies based on predicted risk of restenosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| 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) | 0.002 | 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".