Successful Myeloablative Matched Unrelated Donor Hematopoietic Stem Cell Transplantation in a Young Girl With GATA2 Deficiency and Emberger Syndrome
Bibliographic record
Abstract
Patients with GATA2 (Emberger syndrome) deficiency needs early hematopoietic stem cell transplant (HSCT) before evolving in to myelodysplastic syndrome or acute myeloid leukemia and with time given compromised organ dysfunction leads to increase regimen-related toxicities. Most published cases have used nonmyeloablative conditioning regimens, show higher incidences of rejection and relapse rates and umbilical cord blood transplant has been reported to be suboptimal in patients with GATA2 deficiency because of longer period of engraftment leads to more infections and mortality. We report a 4.5-year-old girl with GATA2 deficiency who underwent matched unrelated donor HSCT utilizing a myeloablative conditioning regimen including intravenous busulfan (total dose of 12.8 mg/kg) and fludarabine (total dose of 160 mg/m) She tolerated the conditioning regimen and bone marrow infusion well. Her initial chimerism was mixed (90% donor), cyclosporine was gradually weaned and discontinued at day+85 and this resulted in conversion to full-donor chimerism. Bone marrow assessment 3 months post-HSCT revealed normal hematopoiesis and absence of monosomy 7. At 20 months of follow-up she had full-donor chimerism with complete reconstitution of the all hematopoietic stem cells. Myeloablative matched unrelated donor HSCT represents an effective option for cure in patients with GATA2 deficiency and Emberger syndrome.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".