Autologous haematopoiesis stem cell transplantation (AHSCT) for treatment-refractory autoimmune diseases in children
Bibliographic record
Abstract
OBJECTIVES: To evaluate the long-term effectiveness and safety of autologous haematopoiesis stem cell transplantation (AHSCT) for severe, refractory autoimmune diseases in paediatric patients. METHODS: A single-centre study of consecutive children and adolescents with refractory autoimmune diseases undergoing AHSCT was performed. Demographics, clinical, laboratory features, pre-AHSCT medications, disease activity and functional status were captured. The primary outcome was progression-free survival, secondary outcomes included overall survival, disease-specific treatment responses, disease activity at the last follow-up and AHSCT safety. RESULTS: The study included seven patients: two systemic sclerosis, one pansclerotic morphoea, one eosinophilic fasciitis, one juvenile dermatomyositis and two patients with systemic juvenile idiopathic arthritis; four women, three men median age at AHSCT of 10 years (7-19), median follow-up post-AHSCT of 17 years. Median progression-free survival and overall survival was 4.2 years (95% CI: 0.98 to 8.3) and 17 years (95% CI: 11.8 to 22.1), respectively. Progression-free survival rates at 1 and 2 years post-AHSCT were 100% and 77%, respectively. All children survived. All patients are in clinical remission, only four require ongoing immunotherapy. SAFETY: Three experienced infections, including HHV6, Candida and Ralstonia sepsis; one developed a systemic inflammatory response syndrome; two new onset secondary autoimmune diseases including autoimmune haemolytic anaemia, Graves' disease and one was found to have a breast fibroadenoma. Treatment toxicity: one cyclophosphamide-associated transient renal failure and pericardial effusion, one patient with amenorrhoea/infertility. CONCLUSIONS: AHSCT was an effective and safe approach for children and adolescents with treatment-refractory autoimmune diseases. The indication and timing of transplantation requires a careful consideration and a multidisciplinary approach.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".