Severe congenital autoimmune neutropenia in preterm monozygotic twins: case series and literature review
Bibliographic record
Abstract
Abstract The presence of high levels of neutrophil associated immunoglobulins (NAIG) in the serum of newborns with neutropenia and their mothers is usually associated with the diagnosis of allo-immune neonatal neutropenia (AINN). We describe a set of otherwise healthy late preterm monozygotic twins who presented with an isolated severe neonatal neutropenia on the first day of life. Flow cytometry for neutrophil antibody screen for both twins detected elevated levels of NAIG with normal serum levels of allo anti-neutrophil antibody (allo-NAB). Maternal serum did not contain either NAIG or allo-NAB. Also, the NAIG immunoglobulin M (IgM) levels were markedly increased in both twins if compared to the increase in the NAIG immunoglobulin G (IgG). Both twins showed very good response to a short course treatment with granulocyte colony stimulating factor (G-CSF), they remained clinically well until 12 months of age. We suggest that this case may be an early presentation of autoimmune neutropenia of infancy. This case study is the earliest report of autoimmune neutropenia of infancy in preterm monozygotic twins.
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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 | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".