Effect of itraconazole on the pharmacokinetics of faldaprevir in healthy subjects
Bibliographic record
Abstract
Faldaprevir (FDV), a substrate of CYP3A/P-glycoprotein (P-gp), is a selective inhibitor of the hepatitis C virus (HCV) NS3/4 protease. FDV is currently under clinical development for application in interferon-free treatment regimens for patients with chronic HCV infection. Understanding the drug-drug interaction potential of FDV is critical, as certain drug combinations may facilitate the more rapid achievement of steady-state—that is, the ideal drug concentration and balanced metabolic cycle of absorption and elimination that optimize drug efficacy. We thus conducted this study to investigate the effect of itraconazole (ICZ), a strong inhibitor of CYP3A and a moderate inhibitor of P-gp, on the pharmacokinetics (PK) of FDV. Eighteen healthy male and female volunteers participated in this open-label, fixed-sequence study. FDV 120 mg twice daily (BID) was administered on Day 1, followed by 120 mg once daily (QD) from Day 2 until the end of the 10-day study; after 6 days of FDV alone, ICZ 200 mg was added to FDV for an additional 4 days (BID on Day 7 and QD from Day 8 to Day 10). Intensive PK sampling was performed after 6 days of FDV treatment and again after 4 days of combined FDV/ICZ treatment. The adjusted geometric mean (gMean) ratios (%) of area under the concentration curve over dosing interval at steady-state (AUCτ, ss) and maximal concentration at steady-state (Cmax, ss) for combined FDV/ICZ treatment vs. FDV treatment alone were 198.6% and 180.6%, respectively, with 90% confidence intervals (CIs) of 182.4–216.1 and 165.7–196.9. Administration of FDV alone or in combination with ICZ was observed to be safe and well-tolerated. Co-administration with ICZ, however, resulted in an approximately two-fold increase in FDV steady-state exposure. Furthermore, FDV required no dosage adjustment when co-administered with ICZ.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".