Neutropenia and monocytopenia in recurrent anaphylactoid reactions after red blood cell transfusions in a woman with immunoglobulin A (IgA) deficiency and anti‐IgA
Bibliographic record
Abstract
BACKGROUND: Transfusion-associated anaphylaxis has been associated with anti-immunoglobulin A (anti-IgA) of IgG class in patients with IgA deficiency. In recent years, however, the frequency and clinical impact of this syndrome has been questioned. We present a case of recurrent red blood cell (RBC) transfusion-associated anaphylactoid reactions (rigors, hypertension, transient monocytopenia, and neutropenia) associated with anti-IgA. CASE REPORT: An 88-year-old woman developed anemia after a traumatic right humerus fracture. After receiving approximately 100 mL of RBCs she developed rigors and hypertension; her absolute neutrophil and monocyte counts decreased by 73 and 100%, respectively. All symptoms and signs resolved, and her blood counts normalized. A second RBC transfusion was given, with recurrence of rigors, hypertension, neutropenia, and monocytopenia (69 and 100% declines, respectively), along with fever. All tests for hemolysis were negative. She then received two transfusions of washed RBCs, without incident. The patient was found to be deficient in IgA (<0.05 mg/dL). Further, anti-IgA of IgG class antibodies were detected in high levels by enzyme-linked immunosorbent assay (>1000 U/mL). We reviewed case reports, case series, and reviews of IgA deficiency-associated reactions, examining whether hypertensive reactions and acute neutropenia and/or monocytopenia have been associated with anti-IgA reactions. RESULTS: Reports of reactions associated with anti-IgA emphasize hypotension and are generally classified as "anaphylactic or anaphylaxis." No previous reports described neutropenia or monocytopenia. CONCLUSION: Our case suggests that adverse transfusion reactions associated with anti-IgA of IgG class may sometimes be characterized by anaphylactoid features such as rigors and hypertension, with transient monocytopenia and neutropenia.
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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) | 0.000 | 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 | 0.000 |
| 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".