Anti‐AnWj causing acute hemolytic transfusion reactions in a patient with aplastic anemia
Bibliographic record
Abstract
BACKGROUND: AnWj is a high-prevalence red blood cell (RBC) antigen in the ISBT 901 series. Only nine reports of anti-AnWj have been published since it was first documented in 1972; two of these cases involved transfusion reactions. We present a case of a patient with aplastic anemia who developed anti-AnWj with clinically significant hemolysis after transfusion of AnWj-positive RBCs. STUDY DESIGN AND METHODS: A 56-year-old woman with aplastic anemia developed a pan-reactive antibody with clinically significant hemolysis after transfusion of RBCs. Investigations included antibody identification by serologic methods at the national immunohematology reference laboratory and the in vitro monocyte-monolayer assay (MMA) to predict clinical significance. RESULTS: The antibody was identified as having specificity for the AnWj antigen. The posttransfusion MMA indicated that the antibody had complement-fixing capability highly likely to cause clinically significant acute hemolytic transfusion reactions. The patient required long-term transfusion support with AnWj-negative RBCs and Lu(a-b-) RBCs of the In(Lu) type which have reduced AnWj expression. Cross-Canada and international collaboration was required to obtain rare units for transfusion. CONCLUSION: A case of acute hemolytic transfusion reaction caused by anti-AnWj is reported in a patient with aplastic anemia requiring allogeneic stem cell transplantation. This is the second documented case of anti-AnWj to cause a hemolytic transfusion reaction. The case demonstrates the complexity of managing patients with rare antibodies and the importance of international collaboration in the management of these difficult cases.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".