A Case Report of Immune Checkpoint-Related Hemophagocytic Lymphohistiocytosis and Review of the Literature
Bibliographic record
Abstract
Introduction: Hemophagocytic lymphohistiocytosis (HLH) secondary to immune checkpoint inhibitors (irHLH) is rare, and consequently optimal management strategies remain to be defined. There are sparse reports of the successful treatment of irHLH with steroids and tocilizumab. This case adds to the body of literature supporting this management strategy. Case Description: We present a case of a patient with thoracic malignancy who received dual checkpoint inhibitors and developed weakness, fever, confusion, and cytopenias. Further testing revealed an extremely elevated ferritin level. Cytokine levels as well as HLH-2004 criteria and HScore results were consistent with irHLH. Clinical parameters and symptoms promptly improved after the administration of corticosteroids and tocilizumab. Conclusion: This case highlights an important treatment strategy for an immune checkpoint inhibitor toxicity associated with a high mortality rate.
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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) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".