Literature DB >> 27044544

Validation of Computational Approaches for Antiretroviral Dose Optimization.

Marco Siccardi1, Laura Dickinson2, Andrew Owen2.   

Abstract

Strategies for reducing antiretroviral doses and drug costs can support global access, and numerous options are being investigated. Efavirenz pharmacokinetic simulation data generated with a bottom-up physiologically based model were successfully compared with data obtained from the ENCORE I clinical trial (efavirenz at 400 mg once per day versus 600 mg once per day). These findings represent a pivotal paradigm for the prediction of pharmacokinetics resulting from dose reductions. Validated computational models constitute a valuable resource for optimizing therapeutic options and predicting complex clinical scenarios.
Copyright © 2016, American Society for Microbiology. All Rights Reserved.

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Year:  2016        PMID: 27044544      PMCID: PMC4879416          DOI: 10.1128/AAC.00094-16

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  12 in total

1.  Optimising the manufacture, formulation, and dose of antiretroviral drugs for more cost-efficient delivery in resource-limited settings: a consensus statement.

Authors:  Keith W Crawford; David H Brown Ripin; Andrew D Levin; Jennifer R Campbell; Charles Flexner
Journal:  Lancet Infect Dis       Date:  2012-07       Impact factor: 25.071

Review 2.  Physiologically based pharmacokinetic models for anticancer drugs.

Authors:  H S Chen; J F Gross
Journal:  Cancer Chemother Pharmacol       Date:  1979       Impact factor: 3.333

Review 3.  Applications of physiologically based pharmacokinetic modeling for the optimization of anti-infective therapies.

Authors:  Darren Michael Moss; Catia Marzolini; Rajith K R Rajoli; Marco Siccardi
Journal:  Expert Opin Drug Metab Toxicol       Date:  2015-04-15       Impact factor: 4.481

Review 4.  Dose selection based on physiologically based pharmacokinetic (PBPK) approaches.

Authors:  Hannah M Jones; Kapil Mayawala; Patrick Poulin
Journal:  AAPS J       Date:  2012-12-27       Impact factor: 4.009

Review 5.  Predicting drug-drug interactions: application of physiologically based pharmacokinetic models under a systems biology approach.

Authors:  Karen Rowland Yeo; Masoud Jamei; Amin Rostami-Hodjegan
Journal:  Expert Rev Clin Pharmacol       Date:  2013-03       Impact factor: 5.045

6.  Pharmacokinetic and pharmacodynamic analysis of efavirenz dose reduction using an in vitro-in vivo extrapolation model.

Authors:  M Siccardi; L Almond; A Schipani; C Csajka; C Marzolini; C Wyen; N H Brockmeyer; M Boffito; A Owen; D Back
Journal:  Clin Pharmacol Ther       Date:  2012-07-18       Impact factor: 6.875

7.  Antiretroviral treatment and age-related comorbidities in a cohort of older HIV-infected patients.

Authors:  G Orlando; P Meraviglia; L Cordier; L Meroni; S Landonio; R Giorgi; M Fasolo; I Faggion; A Riva; A Zambelli; R Beretta; G Gubertini; G Dedivitiis; G Jacchetti; A Cargnel
Journal:  HIV Med       Date:  2006-11       Impact factor: 3.180

8.  Efavirenz in an obese HIV-infected patient--a report and an in vitro-in vivo extrapolation model indicate risk of underdosing.

Authors:  Mirjam de Roche; Marco Siccardi; Marcel Stoeckle; Françoise Livio; David Back; Manuel Battegay; Catia Marzolini
Journal:  Antivir Ther       Date:  2012-04-24

9.  Pharmacokinetic and Pharmacodynamic Comparison of Once-Daily Efavirenz (400 mg vs. 600 mg) in Treatment-Naïve HIV-Infected Patients: Results of the ENCORE1 Study.

Authors:  L Dickinson; J Amin; L Else; M Boffito; D Egan; A Owen; S Khoo; D Back; C Orrell; A Clarke; M Losso; P Phanuphak; D Carey; D A Cooper; S Emery; R Puls
Journal:  Clin Pharmacol Ther       Date:  2015-07-14       Impact factor: 6.875

10.  Prediction of drug-drug interactions between various antidepressants and efavirenz or boosted protease inhibitors using a physiologically based pharmacokinetic modelling approach.

Authors:  Marco Siccardi; Catia Marzolini; Kay Seden; Lisa Almond; Anna Kirov; Saye Khoo; Andrew Owen; David Back
Journal:  Clin Pharmacokinet       Date:  2013-07       Impact factor: 6.447

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  1 in total

Review 1.  The Promise of Long-Acting Antiretroviral Therapies: From Need to Manufacture.

Authors:  Howard E Gendelman; JoEllyn McMillan; Aditya N Bade; Benson Edagwa; Bhavesh D Kevadiya
Journal:  Trends Microbiol       Date:  2019-04-10       Impact factor: 17.079

  1 in total

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