Reduced-intensity conditioning for hematopoietic cell transplant for HLH and primary immune deficiencies
Bibliographic record
Abstract
Allogeneic hematopoietic cell transplantation (HCT) with myeloablative conditioning for disorders associated with excessive inflammation such as hemophagocytic lymphohistiocytosis (HLH) is associated with early mortality. A multicenter prospective phase 2 trial of reduced-intensity conditioning with melphalan, fludarabine, and intermediate-timing alemtuzumab was conducted for HLA matched or single HLA locus mismatched related or unrelated donor HCT in a largely pediatric cohort. Graft-versus-host disease (GVHD) prophylaxis was cyclosporine with methylprednisolone. The primary end point was 1-year overall survival (OS). Thirty-four patients with HLH and 12 with other primary immune deficiencies were transplanted. With a median follow-up of 20 months, the 1-year OS for transplanted patients was 80.4% (90% confidence interval [CI], 68.6%-88.2%). Five additional deaths by 16 months yielded an 18-month OS probability of 66.7% (90% CI, 52.9%-77.3%). Two patients experienced primary graft failure, and 18 patients either experienced a secondary graft failure or required a second intervention (mostly donor lymphocyte infusion [DLI]). At 1 year, the proportion of patients alive with sustained engraftment without DLI or second HCT was 39.1% (95% CI, 25.2%-54.6%), and that of being alive and engrafted (with or without DLI) was 60.9% (95% CI, 45.4 %-74.9%). The day 100 incidence of grade II to IV acute GVHD was 17.4% (95% CI, 8.1%-29.7%), and 1-year incidence of chronic GVHD was 26.7% (95% CI, 14.6%-40.4%). Although the trial demonstrated low early mortality, the majority of surviving patients required DLI or second HCT. These results demonstrate a need for future approaches that maintain low early mortality with improved sustained engraftment. The trial was registered at Clinical Trials.gov (NCT 01998633).
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".