Daratumumab in the Management of Red Cell Aplasia Following Allogeneic Hematopoietic Stem Cell Transplantation
Bibliographic record
Abstract
Pure red cell aplasia (PRCA) is a rare but significant complication following major ABO-incompatible allogeneic hematopoietic stem cell transplantation (HSCT). The persistence of recipient B lymphocytes producing anti-donor isohemagglutinins leads to reticulocytopenia and anemia, often resulting in transfusion dependence. Current treatment options for post-HSCT PRCA are limited and frequently yield suboptimal responses, complicating patient management. Herein, we report three cases of post-HSCT PRCA successfully managed with daratumumab, a monoclonal antibody targeting CD38-expressing plasma cells. All patients demonstrated rapid reticulocyte recovery and transfusion independence after daratumumab treatment, despite prior treatment failures. These findings suggest that daratumumab may provide a more effective therapeutic approach, with a favorable safety profile compared to traditional therapies. Given its demonstrated efficacy and safety, daratumumab warrants consideration as a first-line treatment for post-HSCT PRCA, potentially improving patient quality of life and reducing transfusion-related complications. Further studies should explore optimal dosing and long-term outcomes.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".