Darunavir population pharmacokinetic model based on HIV outpatient data

Autor: Johannes H. Proost, Cristina Gervasoni, Dario Cattaneo, Jan-Willem C. Alffenaar, Chiara Resnati, Quynh T D Tran, Tjip S. van der Werf, Wouter F W Bierman, Alper Daskapan, Jos G. W. Kosterink, Daniel J. Touw, Ymkje Stienstra
Přispěvatelé: Microbes in Health and Disease (MHD), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Biopharmaceuticals, Discovery, Design and Delivery (BDDD), Targeted Gynaecologic Oncology (TARGON), PharmacoTherapy, -Epidemiology and -Economics, Critical care, Anesthesiology, Peri-operative and Emergency medicine (CAPE), Nanomedicine & Drug Targeting, Groningen Research Institute for Asthma and COPD (GRIAC), Medicinal Chemistry and Bioanalysis (MCB)
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Therapeutic Drug Monitoring, 41(1), 59-65. LIPPINCOTT WILLIAMS & WILKINS
Therapeutic Drug Monitoring
ISSN: 0163-4356
Popis: Supplemental Digital Content is Available in the Text.
Background: Darunavir is a second-generation protease inhibitor and is registered for the treatment of HIV-1 infection. The aim of this study was to develop and validate a darunavir population pharmacokinetic model based on data from daily practice. Methods: Data sets were obtained from 2 hospitals: ASST Fatebenefratelli Sacco University Hospital, Italy (hospital A), and University Medical Center Groningen, the Netherlands (hospital B). A pharmacokinetic model was developed using data from the largest data set using the iterative two-stage Bayesian procedure within the MWPharm software package. External validation was conducted using data from the smaller data set with Passing–Bablok regression and Bland–Altman analyses. Results: In total, data from 198 patients from hospital A and 170 patients from hospital B were eligible for inclusion. A 1-compartment model with first-order absorption and elimination resulted in the best model. The Passing–Bablok analysis demonstrated a linear correlation between measured concentration and predicted concentration with r2 = 0.97 (P < 0.05). The predicted values correlated well with the measured values as determined by a Bland–Altman analysis and were overestimated by a mean value of 0.12 mg/L (range 0.23–0.94 mg/L). A total of 98.2% of the predicted values were within the limits of agreement. Conclusions: A robust population pharmacokinetic model was developed, which can support therapeutic drug monitoring of darunavir in daily outpatient settings.
Databáze: OpenAIRE