Drug-induced liver injury secondary to anakinra in a patient with systemic juvenile idiopathic arthritis—Case report and literature overview
Bibliographic record
Abstract
Background: Anakinra, an interleukin-1 receptor antagonist, is widely used to manage systemic juvenile idiopathic arthritis (sJIA) and related inflammatory conditions. While generally well tolerated, rare cases of drug-induced liver injury (DILI) have been reported. Methods: In addition to a literature review, we present a pediatric case of severe DILI attributed to anakinra. The case is of a 14-year-old male with sJIA complicated by macrophage activation syndrome (MAS) who developed DILI following the initiation of anakrina. Results: Anakrina was started after initial corticosteroid treatment. Following dose escalation, he developed a marked elevation in liver enzymes and cholestasis. Extensive workup, including a liver biopsy, excluded other causes and supported a diagnosis of anakinra-induced DILI. Discontinuation of anakinra led to the gradual normalization of liver function. Subsequent treatment with cyclosporine and tocilizumab was well tolerated. Conclusions: Differentiating the liver enzyme elevation to MAS versus DILI is challenging but critical, as management strategies differ. Anakinra-induced liver injury appears to be an idiosyncratic, immune-mediated phenomenon that resolves on drug withdrawal. Our case highlights the importance of monitoring liver function during anakinra therapy and the role of liver biopsy in complex cases.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".