AIMS: The aims were to estimate the mycophenolic acid (MPA) population pharmacokinetic parameters in paediatric liver transplant recipients, to identify the factors affecting MPA pharmacokinetics and to develop a limited sampling strategy to estimate individual MPA AUC(0,12 h). METHODS: Twenty-eight children, 1.1 to 18.0 years old, received oral mycophenolate mofetil (MMF) therapy combined with either tacrolimus (n= 23) or ciclosporin (n= 5). The population parameters were estimated from a model-building set of 16 intensive pharmacokinetic datasets obtained from 16 children. The data were analyzed by nonlinear mixed effect modelling, using a one compartment model with first order absorption and first order elimination and random effects on the absorption rate (k(a)), the apparent volume of distribution (V/F) and apparent clearance (CL/F). RESULTS: Two covariates, time since transplantation (≤ and >6 months) and age affected MPA pharmacokinetics. k(a), estimated at 1.7 h(-1) at age 8.7 years, exhibited large interindividual variability (308%). V/F, estimated at 64.7 l, increased about 2.3 times in children during the immediate post transplantation period. This increase was due to the increase in the unbound MPA fraction caused by the low albumin concentration. CL/F was estimated at 12.7 l h(-1). To estimate individual AUC(0,12 h), the pharmacokinetic parameters obtained with the final model, including covariates, were coded in Adapt II(®) software, using the Bayesian approach. The AUC(0,12 h) estimated from concentrations measured 0, 1 and 4 h after administration of MMF did not differ from reference values. CONCLUSIONS: This study allowed the estimation of the population pharmacokinetic MPA parameters. A simple sampling procedure is suggested to help to optimize pediatric patient care.
AIMS: The aims were to estimate the mycophenolic acid (MPA) population pharmacokinetic parameters in paediatric liver transplant recipients, to identify the factors affecting MPA pharmacokinetics and to develop a limited sampling strategy to estimate individual MPA AUC(0,12 h). METHODS: Twenty-eight children, 1.1 to 18.0 years old, received oral mycophenolate mofetil (MMF) therapy combined with either tacrolimus (n= 23) or ciclosporin (n= 5). The population parameters were estimated from a model-building set of 16 intensive pharmacokinetic datasets obtained from 16 children. The data were analyzed by nonlinear mixed effect modelling, using a one compartment model with first order absorption and first order elimination and random effects on the absorption rate (k(a)), the apparent volume of distribution (V/F) and apparent clearance (CL/F). RESULTS: Two covariates, time since transplantation (≤ and >6 months) and age affected MPA pharmacokinetics. k(a), estimated at 1.7 h(-1) at age 8.7 years, exhibited large interindividual variability (308%). V/F, estimated at 64.7 l, increased about 2.3 times in children during the immediate post transplantation period. This increase was due to the increase in the unbound MPA fraction caused by the low albumin concentration. CL/F was estimated at 12.7 l h(-1). To estimate individual AUC(0,12 h), the pharmacokinetic parameters obtained with the final model, including covariates, were coded in Adapt II(®) software, using the Bayesian approach. The AUC(0,12 h) estimated from concentrations measured 0, 1 and 4 h after administration of MMF did not differ from reference values. CONCLUSIONS: This study allowed the estimation of the population pharmacokinetic MPA parameters. A simple sampling procedure is suggested to help to optimize pediatric patient care.
Authors: E Schütz; V W Armstrong; M Shipkova; L Weber; P D Niedmann; T Lammersdorf; M Wiesel; A Mandelbaum; L B Zimmerhackl; O Mehls; B Tönshoff; M Oellerich Journal: Transplant Proc Date: 1998-06 Impact factor: 1.066
Authors: Marion M Aw; Nigel W Brown; Toshi Itsuka; Christopher E Gonde; Jemimah E Adams; Nigel D Heaton; J Michael Tredger; Giorgina Mieli-Vergani; Anil Dhawan Journal: Liver Transpl Date: 2003-04 Impact factor: 5.799
Authors: K Takahashi; T Ochiai; K Uchida; T Yasumura; M Ishibashi; S Suzuki; O Otsubo; K Isono; H Takagi; T Oka Journal: Transplant Proc Date: 1995-02 Impact factor: 1.066
Authors: M D Hale; A J Nicholls; R E Bullingham; R Hené; A Hoitsma; J P Squifflet; W Weimar; Y Vanrenterghem; F J Van de Woude; G A Verpooten Journal: Clin Pharmacol Ther Date: 1998-12 Impact factor: 6.875
Authors: L T Weber; M Shipkova; T Lamersdorf; P D Niedmann; M Wiesel; A Mandelbaum; L B Zimmerhackl; E Schütz; O Mehls; M Oellerich; V W Armstrong; B Tönshoff Journal: J Am Soc Nephrol Date: 1998-08 Impact factor: 10.121
Authors: Reham Almardini; Esra' O Taybeh; Mervat M Alsous; Ahmed F Hawwa; Karl McKeever; Rob Horne; James C McElnay Journal: Br J Clin Pharmacol Date: 2019-05-11 Impact factor: 4.335
Authors: Bruno Reigner; Susan Grange; Darren Bentley; Ludger Banken; Markus Abt; Richard Hughes; Emmanuel Scheubel; Theodor W Guentert Journal: Int J Clin Pharmacol Ther Date: 2019-10 Impact factor: 1.366