Early diagnosis and successful long-term management of a rare, severe lysosomal acid lipase deficiency/Wolman disease patient: Infancy to age five
Bibliographic record
Abstract
BACKGROUND: This report describes a unique case of long-term survival of a young girl who was diagnosed with severe, rapidly progressive lysosomal acid lipase deficiency (LAL-D; historically “Wolman disease”) at three months of age and began receiving therapeutic interventions at four months of age. This disease involves rapidly progressive multisystemic impairments and limited survival (6–12 months) without treatment. METHODS: Case report taking into account clinical aspects and patient management including a semi-structured interview with the main family caregiver. RESULTS: Presentation at two months of age: severe malnutrition and chronic diarrhea; hypoalbuminemia; low iron, vitamin A, and vitamin D levels; high triglyceride levels; profound anemia; thrombocytopenia; adrenal calcifications; and mild hepatosplenomegaly. Enzyme replacement therapy (ERT) with sebelipase alfa, parenteral nutrition, and a low-fat diet began at age four months. The patient has received sebelipase alfa for >5 years with good tolerability and is thriving, with a body mass index of 16.35 kg/m2 (80th percentile) despite a stature delay (height <3rd percentile), and mild developmental delay. Optimal medical management requires that family caregivers and health professionals have the knowledge and skills to provide appropriate care and supports multidisciplinary teams through transfer of knowledge to all stakeholders. Effective coordination of services and activities related to child health and development, including navigation of administrative and financial barriers, is also imperative. CONCLUSIONS: Formerly fatal in untreated infants, severe LAL-D, when diagnosed early, can be promptly and effectively treated by combining sebelipase alfa ERT, modified diet, involvement of family caregivers, and multidisciplinary team collaboration.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".