Carbamazepine Toxicity Induced by Lopinavir/Ritonavir and Nelfinavir
Bibliographic record
Abstract
OBJECTIVE: To present a case of carbamazepine toxicity induced by lopinavir/ritonavir and nelfinavir. CASE SUMMARY: A 50-year-old HIV-positive male developed excessive drowsiness secondary to carbamazepine when an antiretroviral regimen containing lopinavir/ritonavir was introduced. The carbamazepine serum concentration increased 46%. Subsequently, the patient developed a possible adverse skin reaction to his antiretrovirals and was hospitalized. The protease inhibitor was changed to nelfinavir. Within 3 days, the patient again developed excessive drowsiness and became unsteady on his feet. This time, the carbamazepine serum concentration had increased by 53%. In both instances, the carbamazepine dosage was decreased by 33%, which resulted in resolution of symptoms. DISCUSSION: Carbamazepine undergoes extensive hepatic metabolism. The major metabolic pathway involves oxidation of carbamazepine via CYP3A4 to an active metabolite, carbamazepine-10,11-epoxide. Protease inhibitors are well-known CYP3A4 inhibitors. Other cases of carbamazepine toxicity secondary to protease inhibitors are reviewed. A MEDLINE search (1966-May 2006) revealed 4 cases of carbamazepine toxicity secondary to antiretrovirals. Carbamazepine serum concentrations increased two- to threefold from baseline. Vertigo, drowsiness, disorientation, ataxia, and vomiting occurred within 12 hours to 2 months, which resolved with reduction of the carbamazepine dosage. CONCLUSIONS: An objective causality assessment suggests that our patient became drowsy and unsteady on his feet secondary to a carbamazepine-protease inhibitor interaction. Lopinavir/ritonavir and nelfinavir may decrease carbamazepine metabolism, causing an elevation in carbamazepine serum concentrations. Carbamazepine toxicity may be prevented by reducing the carbamazepine dosage by 25-50% when protease inhibitors are introduced. A carbamazepine serum concentration should be repeated 3-5 days after the protease inhibitors are started.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".