Asymptomatic EBV Infection may Uncover Ezetimibe Liver Alterations in a Hypercholesterolemic Child
Bibliographic record
Abstract
The Epstein Barr viral (EBV) infection may be associated with liver side-effects from ezetimibe treatment in children. An 11-year-old child with familial hypercholesterolemia (FH) presented with a normal biochemical liver profile before ezetimibe treatment, with no significant alterations of liver enzymes. Three months after beginning treatment with ezetimibe 10 mg/day, he complained of constant weakness, and blood testing revealed marked transaminase elevations. Administration of ezetimibe was stopped. However 15 days later alanine transferase (ALT) levels showed a further increase, followed, 10 days later, by an improvement in all pathological levels. After a further 2 months, all values had returned to normal. Tests for antibodies to the EBV were positive, suggesting a recent but not acute EBV infection. It was thus decided to test ezetimibe 10 mg/day again, and after 1 month aspartate aminotransferase (AST) and ALT levels were in a normal range, together with a very satisfactory LDL-cholesterol (LDL-C) response. This is the first report of a child with significant liver side-effects from ezetimibe treatment. Ezetimibe treatment may not have been the direct cause of liver damage in this child, because a concomitant EBV infection. Association of the two should be a warning for possible liver complications. doi: http://dx.doi.org/10.4021/jmc903w
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".