Nutritional outcome in children with severe generalized recessive dystrophic epidermolysis bullosa: a short- and long-term evaluation of gastrostomy and enteral feeding
Bibliographic record
Abstract
BACKGROUND: Generalized recessive dystrophic epidermolysis bullosa (RDEB) is often complicated by high nutritional difficulties with risks of malnutrition. OBJECTIVES: To provide information regarding the benefits of enteral feeding by gastrostomy (GTF), energy and protein requirements, tolerance, growth and pubertal development in children with RDEB. METHODS: Twenty-four patients were referred over a 7-year period in a retrospective study. Gastrostomy placement was decided in patients unable to feed orally and/or presenting loss in weight and height of at least 1 SD compared with their best growth level, despite regular nutritional advice. Weight and height were expressed as Z-scores. Catch-up growth following GTF onset was studied. RESULTS: Gastrostomies were performed in 11 children (aged 9·0±5·8years), and one young man aged 18years. The body weight Z-score was -2·3±1·0, height Z-score 1·1±1·1, weight-for-height was 81±11% and height-for-age 95± 4%. At onset, GTF provided 74±21% and 180±81% of the recommended dietary allowance (RDA) for energy and proteins, respectively. At study update (53±20months), GTF provided 91±29% and 205±100% of RDA for energy and proteins, respectively. Weight-for-height reached 92±15% and height-for-age 98±5%. A normal puberty was obtained when GT was performed before the age of 10years. Skin was not improved. CONCLUSION: Malnutrition was observed in 50% of the children with generalized RDEB. Protein and energy needs are particularly high. GTF is well tolerated and helps with catch-up growth and puberty. It must be considered before malnutrition onset, and, if necessary, before puberty.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".