Moyamoya Syndrome in an Infant with Aicardi–Goutières and Williams Syndromes: A Case Report
Bibliographic record
Abstract
Stroke in infancy is a rare phenomenon but can lead to significant long-term disability. We present the story of a 6-month-old Old Order Amish infant with underlying Williams syndrome, a rare neurodevelopmental disorder caused by a microdeletion, encompassing the elastin gene that produces abnormalities in elastic fibers of the lungs and vessels. This infant presented with lethargy, irritability, and a new-onset generalized tonic-clonic seizure. Brain magnetic resonance imaging (MRI) was consistent with ischemic stroke in the supratentorial regions. MR angiogram demonstrated bilateral narrowing of the internal carotid arteries with "ivy sign," suggestive of Moyamoya. Moyamoya disease/syndrome is a cerebrovascular condition that is associated with progressive stenosis of the intracranial vessels and can cause ischemic stroke in young children. Targeted mutation analysis revealed a homozygous c.1411-2A > G splice site variant in the SAMHD1 gene, consistent with a diagnosis of Aicardi-Goutières syndrome type 5 (AGS5), an autosomal recessive condition with multisystem involvement. In our unique case of infantile stroke with Moyamoya syndrome and dual diagnosis of Williams syndrome and AGS5, both diagnoses likely contributed to the cerebrovascular pathology. This case report highlights the importance of suspecting and testing for multiple genetic abnormalities in children presenting with Moyamoya-related stroke.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| 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".