Add like
Add dislike
Add to saved papers

Population Pharmacokinetic Modeling of Armodafinil and Its Major Metabolites.

Population pharmacokinetic models for armodafinil and its major metabolites, R-modafinil acid and modafinil sulfone, were developed, and selected covariates were investigated. Data from 583 healthy subjects and patients with bipolar I disorder in 11 phase 1-3 studies (8027 concentrations) of armodafinil, given as single or multiple once-daily doses (50- to 400-mg tablet or capsule), were pooled. A previously developed 1-compartment model with first-order absorption without covariate effects was initially applied to pooled phase 1 and 2 data. After covariate analysis, the phase 3 data were pooled with the phase 1 and 2 data set and the model was refined again using a second backward elimination step. Population modeling was performed with NONMEM version 7 with the first-order conditional estimation method. Estimated armodafinil apparent oral clearance (CL/F), volume of distribution (Vc/F), and absorption t½ were 2.01 L/h, 45 L, and 0.226 hours, respectively. Armodafinil CL/F and Vc/F increased with weight; predicted steady-state area under the curve was 16.4% higher and 29.1% lower in a patient weighing 50 or 150 kg, respectively, relative to a 70-kg patient. Female participants had 10.2% lower armodafinil Vc/F compared with male participants. Age, race (white vs nonwhite), health status (healthy vs bipolar I disorder), liver function, and renal function were not statistically significant predictors of armodafinil pharmacokinetics. CL/F and Vc/F for R-modafinil acid and modafinil sulfone were 16.7 L/h and 8.95 L and 6.82 L/h and 12.4 L, respectively. Weight did not affect exposure of either metabolite. These population pharmacokinetic models were from the largest population of adults reported to date and provide a robust characterization of the pharmacokinetics of armodafinil, R-modafinil acid, and modafinil sulfone in adults.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app