Effect of Anti-Thymocyte Globulin and Post-Transplant Cyclophosphamide on Graft-Versus-Host Disease Outcomes in Female Donor-to-Male Recipient Matched Unrelated Donor Allogeneic Stem Cell Transplantation for Acute Leukemia
Bibliographic record
Abstract
Female-to-male (F→M) sex-mismatched allogeneic hematopoietic stem cell transplantation (HSCT) is known to increase the risk of graft-versus-host disease (GVHD). We evaluated the impact of donor-recipient sex mismatch on GVHD incidence and assessed the efficacy of combined low-dose antithymocyte globulin (ATG) (2mg/kg) and post-transplant cyclophosphamide (PTCy) as GVHD prophylaxis compared to calcineurin inhibitor-methotrexate/mycophenolate mofetil (CNI-MTX/MMF). We retrospectively analyzed 861 HSCT recipients, with acute myeloid leukemia as the predominant indication (82%). Among the cohort, 39% of transplants were sex-mismatched (M→F: 26%, F→M: 13%), while 61% were sex-matched (M→M: 42%, F→F: 19%). The primary outcomes were cumulative incidences of acute and chronic GVHD, relapse, and nonrelapse mortality (NRM). F→M HSCT were associated with higher rates of grades II-IV acute GVHD at day +100 (42.2% versus 27.0%, hazard ratio [HR]: 1.54; P < .01) and chronic GVHD at 2 years (54.2% versus 43.4%, HR: 1.33; P = .05). In the overall cohort, ATG-PTCy was associated with a reduced risk of grades III-IV acute GVHD (HR: .42; P < .01) and chronic GVHD (HR: .22; P < .001) compared to CNI-MTX/MMF, without an increased risk of relapse (HR: .86; P = .39) or NRM (HR: .59; P = .35). A subgroup multivariable analysis of F→M recipients (n = 114) confirmed a reduced risk of grade II-IV (HR: .48; P = .05), grades III-IV acute GVHD (HR: .25; P = .04), and chronic GVHD (HR: .33; P < .01) with ATG-PTCy. F→M sex mismatch is associated with increased GVHD risk after HSCT. The combination of low-dose ATG and PTCy may help reduce GVHD in this high-risk group without an increase in disease relapse or NRM.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".