Acute Liver Injury in a Patient Treated With Rosuvastatin: A Rare Adverse Effect
Bibliographic record
Abstract
Drug-induced liver injury (DILI) is among the challenging liver conditions encountered by clinicians today. It has a low incidence in the general population with an approximated annual incidence of 10 - 15 cases per 10,000 - 100,000 persons who have taken prescription medications. Nevertheless, DILI remains the most frequent cause of acute liver injury in the United States. Rosuvastatin is a commonly prescribed medication that, similar to other statins, is associated with serum aminotransferase elevations that are mild, asymptomatic and usually self-limited. Here, we report a case of a man who developed acute liver injury after taking rosuvastatin for hypercholesterolemia treatment. Moreover, DILI with autoimmune features represents a key subgroup of hepatotoxicity attributable to medication exposure. Similar to idiopathic autoimmune hepatitis, circulating autoantibodies and a hypergammaglobulinemia are often present in the serum of such individuals. However, such findings are not invariable. In the case reported here, these laboratory features were absent, but a liver biopsy demonstrated interface hepatitis with a prominent plasma cell infiltrate, histologic components consistent with an immune-mediated drug reaction. After withdrawal of the offending medication did not result in complete resolution, corticosteroid therapy was administered with a subsequent clinical response, confirming the diagnosis.
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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 | 0.002 | 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 | 0.000 | 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) | 0.001 | 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 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".