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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".