Combined Autoimmune Cytopenias Presenting in Childhood
Bibliographic record
Abstract
BACKGROUND: Pediatric patients with chronic and/or refractory autoimmune multi-lineage cytopenias present challenges in both diagnosis and management. Increasing availability of diagnostic testing has revealed an underlying immune dysfunction in patients previously diagnosed with Evans Syndrome. However, the data are sparse and the majority of patients are adults. PROCEDURE: We performed a retrospective chart review to document the natural history of 23 pediatric patients with autoimmune multi-lineage cytopenias followed at three tertiary care pediatric hematology clinics. RESULTS: Investigations revealed seven patients (30.4%) with an autoimmune lymphoproliferative-like syndrome and six patients (26.1%) with other primary immunodeficiencies. Only one (4.3%) patient was suspected to have systemic lupus erythematosus and six patients (26.1%) had other types of autoimmunity. Treatment consisted of immunosuppressive therapy, intravenous gammaglobulin, and splenectomy. Supportive care included granulocyte-colony stimulating factor, and blood product transfusions. Two patients (8.7%) died. Complete remission was achieved in 3 patients (13.0%); of the remaining, 14 patients (60.9%) had chronic immune thrombocytopenic purpura, 10 patients (43.5%) chronic autoimmune neutropenia, and 4 patients (17.4%) chronic autoimmune hemolytic anemia with a median follow up of 5 years (2 months-12 years). CONCLUSIONS: These data suggest that pediatric patients presenting with autoimmune multi-lineage cytopenias should undergo investigation for underlying immune dysregulation, including autoimmune lymphoproliferative syndrome, other primary immunodeficiencies and autoimmune disorders. The development of an international registry for such patients is imperative to improve the understanding of their complex natural history.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".