Combination Treatment for Severe Forms of Mucopolysaccharidosis, Type I (Hurler Syndrome): Case Report
Bibliographic record
Abstract
Background. Hurler syndrome (mucopolysaccharidosis, type I) is a rare hereditary disease with chronic course. The main methods for Hurler syndrome management are hematopoietic stem cell transplantation (HSCT) and enzyme replacement therapy (ERT). In recent years, combination treatment (ERT administration both before and after HSCT) has shown its efficacy in case of disease progression. Clinical case description. The presented clinical cases demonstrate the efficacy of ERT administration in patients with Hurler syndrome after HSCT: in the first clinical case due to the decrease in alpha-iduronidase activity 2 years after HSCT, in the second clinical case due to the aggravation of the patient's condition (cardiovascular and respiratory systems, hepatomegaly, although the level of enzyme and glycosaminoglycans in the patient's urine remained within normal values). Conclusion. Combination treatment including ERT not only before HSCT, but also in case of clinical state worsening after HSCT, plays significant role in stabilizing the patient's condition, preventing rapid progression of symptoms and development of life-threatening complications (especially cardiovascular ones).
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".