Cerebral Small Vessel Disease in Pseudoxanthoma Elasticum: Three Cases
Bibliographic record
Abstract
BACKGROUND: Cerebral small vessel disease is rarely described in association with pseudoxanthoma elasticum (PXE), a hereditary connective tissue disorder with skin, eye and vascular manifestations. This autosomally inherited elastic tissue disease has been attributed to mutations in the ABCC6 gene located on chromosome 16p13.1. Different stroke mechanisms are suggested in PXE patients, arterial hypertension and accelerated atherosclerosis being the leading ones. CASE DESCRIPTIONS: Case 1: A 49-year-old man with history of mild hypertension presented with recurrent transient ischemic attacks. At the age of 42, evaluation for progressive visual loss and skin changes led to diagnosis of PXE. Brain magnetic resonance imaging (MRI) disclosed multiple lacunar infarctions and confluent periventricular white matter lesions (WML). Case 2: A 71-year-old woman with history of mild hypertension suffered right-sided stroke. Diagnosis of PXE was made at the age of 48 due to severe visual loss and skin changes. Brain MRI revealed multiple lacunar infarctions and subcortical ischemic leukoencephalopathy. Case 3: A 47-year-old woman with prominent skin changes and bilateral amblyopia developed right-sided weakness. Skin biopsy confirmed PXE. Several lacunar infarcts in deep white matter and pons were revealed on MRI. DISCUSSION: We present three patients with clinical and histopathological features of PXE who presented with multiple lacunar strokes, two with extensive confluent WML. These cases illustrate that PXE is a rare but significant risk factor for small vessel disease and stroke in patients of all age groups. Occlusive small vessel disease and subsequent lacunar infarcts and WML represent important PXE manifestations.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 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".