Vascular leukoencephalopathy observed in a patient with fetal alcohol spectrum disorder: An association not yet understood
Bibliographic record
Abstract
• Rare potential association between vascular leukoencephalopathy and fetal alcohol spectrum disorder • Pathophysiological mechanisms of prenatal alcohol exposure impairing brain vascularization • Vascular leukoencephalopathy in pediatric population increases the risk of stroke • MRI in fetal alcohol spectrum disorder patient management would enable the early identification of neurological pathologies • Development of more appropriate treatment plans for fetal alcohol spectrum disorder patients Fetal alcohol spectrum disorder (FASD) encompasses a broad range of physical and neurological impairments resulting from prenatal alcohol exposure (PAE). While the neurological consequences of FASD are well documented, its potential association with vascular leukoencephalopathy (VL) remains poorly documented and incompletely understood. This case report presents a unique case of VL documented in a 20-year-old female diagnosed with FASD at 11 years of age, offering new insights into this underrecognized and potentially emerging association. The patient had several neurological and neurodevelopmental concerns starting in infancy, which prompted a number of brain Magnetic Resonance Imaging (MRI) scans throughout life. More recently, atypical neurological examination and comorbidities led to a referral to the neurology department to investigate a possible diagnosis of multiple sclerosis. Neurological evaluation, which included ordering a new MRI and reviewing previous scans, confirmed the presence of progressive white matter lesions suggestive of VL. Despite an extensive diagnostic workup, including genetic, metabolic, and autoimmune testing, no alternative etiology was identified. The patient’s clinical history, neurodevelopmental profile, and confirmed PAE raised the possibility of VL being associated with FASD as the most plausible explanation. This case highlights the potential vascular consequences of PAE, including disrupted angiogenesis, cerebral hypoperfusion, and increased blood-brain barrier permeability, mechanisms that mirror those seen in VL. As such, it emphasizes the importance of recognizing this possible association in a clinical setting. Early neuroimaging in FASD patients may facilitate timely detection of subclinical vascular pathology, guide treatment strategies, and help mitigate long-term neurological risks. Documenting such cases is crucial to expanding clinical awareness and supporting future research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".