A rare case of discrete aortic coarctation in Williams-Beuren syndrome. Diagnostic and therapeutic considerations
Bibliographic record
Abstract
Williams-Beuren syndrome (WBS) is a genetic disorder caused by elastin gene deletions, and is characterized by cardiovascular malformations, primarily including supravalvular aortic stenosis and peripheral pulmonary stenosis. We report a case of a neonate who developed severe discrete aortic coarctation, underwent multiple surgical interventions, and was subsequently diagnosed with WBS. Severe discrete aortic coarctation is a rare event in WBS newborns. An abnormally thick aortic wall is present in these patients and is the basis of the failure of the classical approach towards coarctation repair, which consists of end-to-end anastomosis as first surgical choice. Our case, and a very few similar previously documented cases, have all demonstrated recoarctation, which only aortic patch implantation was able to successfully repair. In light of this, we would also like to underline the importance of early WBS diagnosis. Therefore, even in mild syndromic phenotype such as low birth weight or facial dysmorphism that raise the suspicion of a genetic syndrome, it is advisable to perform fluorescent in situ hybridization analysis rather than merely karyotypic one.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".