Pharmacokinetics, Safety, and Tolerability of Faldaprevir in Patients with Renal Impairment
Bibliographic record
Abstract
Faldaprevir is a potent hepatitis C virus (HCV) NS3/4A protease inhibitor with negligible urinary excretion. We assessed the pharmacokinetics and safety of a single oral dose of faldaprevir (480 mg) in 32 HCV-negative subjects with renal impairment or normal renal function. Compared with subjects with normal renal function, the adjusted geometric mean ratios (90% confidence intervals in parentheses) for overall exposure area under the concentration-time curve from zero to infinity (AUC0-∞) were 113.6% (41.6 to 310.2%), 178.3% (85.2 to 373.0%), and 169.2% (73.2 to 391.2%) for subjects with mild, moderate, and severe renal impairment, respectively. Overall, 5/8 (63%) subjects with normal renal function and 20/24 (83%) subjects with renal impairment reported adverse events, with gastrointestinal events being the most common. No severe or serious adverse events or deaths were reported. These results suggest that moderate or severe renal impairment can result in a modest increase in faldaprevir exposure. The increase in exposure may be related to decrease in the activity of the liver uptake transporter OATP1B1 as a result of renal impairment. Given this relatively slight increase in exposure, a dose adjustment in HCV patients with renal impairment is not warranted. (This study has been registered at ClinicalTrials.gov under registration number NCT01957657.).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 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".