Atazanavir-Associated Choledocholithiasis Leading to Acute Hepatitis in an HIV-infected Adult
Bibliographic record
Abstract
OBJECTIVE: To report a case of atazanavir-associated choledocholithiasis in an HIV-infected individual. CASE SUMMARY: A 47-year-old treatment-naïve HIV-positive African female presented to the emergency department with a 3-day history of right epigastric pain. Six weeks prior to this episode, she began antiretroviral therapy with a regimen consisting of atazanavir 400 mg and abacavir/lamivudine 600/300 mg once daily. Alanine aminotransferase (766 U/L), aspartate aminotransferase (876 U/L), gamma-glutamyltransferase (588 U/L), alkaline phosphatase (348 U/L), and total bilirubin (3.9 mg/dL) levels were elevated. Abdominal ultrasound revealed obstructive choledocholithiasis as well as intra- and extrahepatic biliary dilatation. She underwent a laparoscopic cholecystectomy, which revealed approximately 50 small calculi present in the gallbladder. Since previous ultrasounds had also shown gallstones, an analysis of the extracted calculi was performed to determine the possible association with atazanavir use; low amounts of atazanavir were detected. DISCUSSION: Atazanavir is an inhibitor of the bilirubin-conjugating enzyme UGT1A1 and has been frequently linked to the occurrence of hyperbilirubinemia without complications. This individual experienced hyperbilirubinemia that peaked at hospital presentation after she developed choledocholithiasis and secondary acute hepatitis. Analysis of the extracted gallstones revealed that smaller stones contained a higher content of atazanavir than larger stones, which suggests that atazanavir precipitation may play a role in cholelithiasis, although the mechanism remains unknown. The low yield of atazanavir may be explained by the short, 6-week duration of drug exposure as well as the lack of assay for metabolites. The Naranjo probability scale implicated choledocholithiasis as a possible atazanavir-associated adverse event. This report provides the first published evidence that even short-term use of atazanavir may lead to hyperbilirubinemia with choledocholithiasis and secondary acute hepatitis in HIV-infected adults. CONCLUSIONS: Atazanavir should be considered a possible contributor in the development of cholelithiasis or choledocholithiasis, and people with HIV should receive adequate counseling in the recognition of symptoms associated with gallstones. The exact incidence and mechanism still need to be elucidated.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".