Hemophagocytic Lymphohistiocytosis Associated with Adult Vaccination: A Case of Cytokine Flurries
Bibliographic record
Abstract
Hemophagocytic Lymphohistiocytosis (HLH) is an often-fatal condition characterized by an overactive but ineffective immune response. Secondary HLH in adults is often caused by infection, autoimmune disease, and malignancy. A 67-year-old woman presented to hospital with a five-day history of malaise beginning hours after receiving influenza and pneumococcal vaccinations. Her medical history was significant for rheumatoid arthritis, controlled with methotrexate and prednisone. In hospital, she was found to have a new febrile pancytopenia that persisted despite empiric antibiotics and discontinuation of methotrexate. The patient did not have any additional clinical or laboratory evidence of an infectious focus or rheumatoid arthritis flare. She had splenomegaly, but there was no definitive evidence of malignancy. Further testing revealed hepatitis, coagulopathy, and an elevated ferritin. Bone marrow biopsy demonstrated hemophagocytosis, and a diagnosis of HLH was made. She was successfully treated with a modified HLH 94 protocol, using dexamethasone and etoposide. Unfortunately, following hospital discharge after being well for 18 months with no HLH relapses, the patient was diagnosed with anaplastic T-cell lymphoma. HLH was likely secondary to a two-hit process with vaccinations in the context of immune dysregulation secondary to rheumatoid arthritis and subclinical lymphoma. To the best of our knowledge, vaccinations have not been linked to adult HLH; therefore, this case illustrates a potentially novel association in a susceptible patient. We propose that HLH should be considered in all patients with unexplained fever and cytopenias, and diagnosis should prompt evaluation for underlying causes, including vaccinations.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".