Population pharmacokinetics and Bayesian estimator of mycophenolic acid in children with idiopathic nephrotic syndrome

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT • MMF has been proposed as a treatment of steroid‐dependent nephrotic syndrome and in the recent years, several studies have suggested its positive effect in preventing relapses. WHAT THIS PAPER ADDS • The population pharmacokinetics of MPA was first evaluate...

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Published inBritish journal of clinical pharmacology Vol. 69; no. 4; pp. 358 - 366
Main Authors Zhao, Wei, Elie, Valéry, Baudouin, Véronique, Bensman, Albert, André, Jean Luc, Brochard, Karine, Broux, Françoise, Cailliez, Mathilde, Loirat, Chantal, Jacqz‐Aigrain, Evelyne
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Publishing Ltd 01.04.2010
Blackwell
Blackwell Science Inc
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Online AccessGet full text
ISSN0306-5251
1365-2125
1365-2125
DOI10.1111/j.1365-2125.2010.03615.x

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Abstract WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT • MMF has been proposed as a treatment of steroid‐dependent nephrotic syndrome and in the recent years, several studies have suggested its positive effect in preventing relapses. WHAT THIS PAPER ADDS • The population pharmacokinetics of MPA was first evaluated in children with idiopathic nephrotic syndrome and data fitted well with a two‐compartment model with first‐order absorption and lag time. • Body weight and serum albumin had a significant impact on oral clearance. • A three‐point (T0, T1 and T4h) Bayesian estimator of AUC0–12 was developed. AIMS To develop a population pharmacokinetic model for mycophenolic acid (MPA) in children with idiopathic nephrotic syndrome (INS) treated with mycophenolate mofetil (MMF), identify covariates that explain variability and determine the Bayesian estimator of the area under the concentration–time curve over 12 h (AUC0–12). METHODS The pharmacokinetic model of MMF was described from 23 patients aged 7.4 ± 3.9 years (range 2.9–14.9) using nonlinear mixed‐effects modelling (NONMEM) software. A two‐compartment model with lag–time and first‐order absorption and elimination was developed. The final model was validated using visual predictive check. Bayesian estimator was validated using circular permutation method. RESULTS The population pharmacokinetic parameters were apparent oral clearance 9.7 l h−1, apparent central volume of distribution 22.3 l, apparent peripheral volume of distribution 250 l, inter‐compartment clearance 18.8 l h−1, absorption rate constant 5.16 h−1, lag time 0.215 h. The covariate analysis identified body weight and serum albumin as individual factors influencing the apparent oral clearance. Accurate Bayesian estimation of AUC0–12 was obtained using the combination of three MPA concentrations measured just before (T0), 1 and 4 h (T1 and T4) after drug intake with a small error of 0.298 µg h−1 ml−1 between estimated and reference AUC0–12. CONCLUSIONS The population pharmacokinetic model of MPA was developed in children with INS. A three‐point (T0, T1 and T4h) Bayesian estimator of AUC0–12 was developed and might be used to investigate the relation between MPA pharmacokinetic and pharmacodynamics in children with INS and determine if there is any indication to monitor MPA exposure in order to improve patient outcome based on individual AUC‐controlled MMF dosing.
AbstractList To develop a population pharmacokinetic model for mycophenolic acid (MPA) in children with idiopathic nephrotic syndrome (INS) treated with mycophenolate mofetil (MMF), identify covariates that explain variability and determine the Bayesian estimator of the area under the concentration-time curve over 12 h (AUC(0-12)). The pharmacokinetic model of MMF was described from 23 patients aged 7.4 +/- 3.9 years (range 2.9-14.9) using nonlinear mixed-effects modelling (NONMEM) software. A two-compartment model with lag-time and first-order absorption and elimination was developed. The final model was validated using visual predictive check. Bayesian estimator was validated using circular permutation method. The population pharmacokinetic parameters were apparent oral clearance 9.7 l h(-1), apparent central volume of distribution 22.3 l, apparent peripheral volume of distribution 250 l, inter-compartment clearance 18.8 l h(-1), absorption rate constant 5.16 h(-1), lag time 0.215 h. The covariate analysis identified body weight and serum albumin as individual factors influencing the apparent oral clearance. Accurate Bayesian estimation of AUC(0-12) was obtained using the combination of three MPA concentrations measured just before (T(0)), 1 and 4 h (T(1) and T(4)) after drug intake with a small error of 0.298 microg h(-1) ml(-1) between estimated and reference AUC(0-12). The population pharmacokinetic model of MPA was developed in children with INS. A three-point (T(0), T(1) and T(4)h) Bayesian estimator of AUC(0-12) was developed and might be used to investigate the relation between MPA pharmacokinetic and pharmacodynamics in children with INS and determine if there is any indication to monitor MPA exposure in order to improve patient outcome based on individual AUC-controlled MMF dosing.
WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT • MMF has been proposed as a treatment of steroid‐dependent nephrotic syndrome and in the recent years, several studies have suggested its positive effect in preventing relapses. WHAT THIS PAPER ADDS • The population pharmacokinetics of MPA was first evaluated in children with idiopathic nephrotic syndrome and data fitted well with a two‐compartment model with first‐order absorption and lag time. • Body weight and serum albumin had a significant impact on oral clearance. • A three‐point (T0, T1 and T4h) Bayesian estimator of AUC0–12 was developed. AIMS To develop a population pharmacokinetic model for mycophenolic acid (MPA) in children with idiopathic nephrotic syndrome (INS) treated with mycophenolate mofetil (MMF), identify covariates that explain variability and determine the Bayesian estimator of the area under the concentration–time curve over 12 h (AUC0–12). METHODS The pharmacokinetic model of MMF was described from 23 patients aged 7.4 ± 3.9 years (range 2.9–14.9) using nonlinear mixed‐effects modelling (NONMEM) software. A two‐compartment model with lag–time and first‐order absorption and elimination was developed. The final model was validated using visual predictive check. Bayesian estimator was validated using circular permutation method. RESULTS The population pharmacokinetic parameters were apparent oral clearance 9.7 l h−1, apparent central volume of distribution 22.3 l, apparent peripheral volume of distribution 250 l, inter‐compartment clearance 18.8 l h−1, absorption rate constant 5.16 h−1, lag time 0.215 h. The covariate analysis identified body weight and serum albumin as individual factors influencing the apparent oral clearance. Accurate Bayesian estimation of AUC0–12 was obtained using the combination of three MPA concentrations measured just before (T0), 1 and 4 h (T1 and T4) after drug intake with a small error of 0.298 µg h−1 ml−1 between estimated and reference AUC0–12. CONCLUSIONS The population pharmacokinetic model of MPA was developed in children with INS. A three‐point (T0, T1 and T4h) Bayesian estimator of AUC0–12 was developed and might be used to investigate the relation between MPA pharmacokinetic and pharmacodynamics in children with INS and determine if there is any indication to monitor MPA exposure in order to improve patient outcome based on individual AUC‐controlled MMF dosing.
WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT • MMF has been proposed as a treatment of steroid‐dependent nephrotic syndrome and in the recent years, several studies have suggested its positive effect in preventing relapses. WHAT THIS PAPER ADDS • The population pharmacokinetics of MPA was first evaluated in children with idiopathic nephrotic syndrome and data fitted well with a two‐compartment model with first‐order absorption and lag time. • Body weight and serum albumin had a significant impact on oral clearance. • A three‐point (T 0 , T 1 and T 4h ) Bayesian estimator of AUC 0–12 was developed. AIMS To develop a population pharmacokinetic model for mycophenolic acid (MPA) in children with idiopathic nephrotic syndrome (INS) treated with mycophenolate mofetil (MMF), identify covariates that explain variability and determine the Bayesian estimator of the area under the concentration–time curve over 12 h (AUC 0–12 ). METHODS The pharmacokinetic model of MMF was described from 23 patients aged 7.4 ± 3.9 years (range 2.9–14.9) using nonlinear mixed‐effects modelling (NONMEM) software. A two‐compartment model with lag–time and first‐order absorption and elimination was developed. The final model was validated using visual predictive check. Bayesian estimator was validated using circular permutation method. RESULTS The population pharmacokinetic parameters were apparent oral clearance 9.7 l h −1 , apparent central volume of distribution 22.3 l, apparent peripheral volume of distribution 250 l, inter‐compartment clearance 18.8 l h −1 , absorption rate constant 5.16 h −1 , lag time 0.215 h. The covariate analysis identified body weight and serum albumin as individual factors influencing the apparent oral clearance. Accurate Bayesian estimation of AUC 0–12 was obtained using the combination of three MPA concentrations measured just before (T 0 ), 1 and 4 h (T 1 and T 4 ) after drug intake with a small error of 0.298 µg h −1  ml −1 between estimated and reference AUC 0–12 . CONCLUSIONS The population pharmacokinetic model of MPA was developed in children with INS. A three‐point (T 0 , T 1 and T 4 h) Bayesian estimator of AUC 0–12 was developed and might be used to investigate the relation between MPA pharmacokinetic and pharmacodynamics in children with INS and determine if there is any indication to monitor MPA exposure in order to improve patient outcome based on individual AUC‐controlled MMF dosing.
To develop a population pharmacokinetic model for mycophenolic acid (MPA) in children with idiopathic nephrotic syndrome (INS) treated with mycophenolate mofetil (MMF), identify covariates that explain variability and determine the Bayesian estimator of the area under the concentration-time curve over 12 h (AUC(0-12)).AIMSTo develop a population pharmacokinetic model for mycophenolic acid (MPA) in children with idiopathic nephrotic syndrome (INS) treated with mycophenolate mofetil (MMF), identify covariates that explain variability and determine the Bayesian estimator of the area under the concentration-time curve over 12 h (AUC(0-12)).The pharmacokinetic model of MMF was described from 23 patients aged 7.4 +/- 3.9 years (range 2.9-14.9) using nonlinear mixed-effects modelling (NONMEM) software. A two-compartment model with lag-time and first-order absorption and elimination was developed. The final model was validated using visual predictive check. Bayesian estimator was validated using circular permutation method.METHODSThe pharmacokinetic model of MMF was described from 23 patients aged 7.4 +/- 3.9 years (range 2.9-14.9) using nonlinear mixed-effects modelling (NONMEM) software. A two-compartment model with lag-time and first-order absorption and elimination was developed. The final model was validated using visual predictive check. Bayesian estimator was validated using circular permutation method.The population pharmacokinetic parameters were apparent oral clearance 9.7 l h(-1), apparent central volume of distribution 22.3 l, apparent peripheral volume of distribution 250 l, inter-compartment clearance 18.8 l h(-1), absorption rate constant 5.16 h(-1), lag time 0.215 h. The covariate analysis identified body weight and serum albumin as individual factors influencing the apparent oral clearance. Accurate Bayesian estimation of AUC(0-12) was obtained using the combination of three MPA concentrations measured just before (T(0)), 1 and 4 h (T(1) and T(4)) after drug intake with a small error of 0.298 microg h(-1) ml(-1) between estimated and reference AUC(0-12).RESULTSThe population pharmacokinetic parameters were apparent oral clearance 9.7 l h(-1), apparent central volume of distribution 22.3 l, apparent peripheral volume of distribution 250 l, inter-compartment clearance 18.8 l h(-1), absorption rate constant 5.16 h(-1), lag time 0.215 h. The covariate analysis identified body weight and serum albumin as individual factors influencing the apparent oral clearance. Accurate Bayesian estimation of AUC(0-12) was obtained using the combination of three MPA concentrations measured just before (T(0)), 1 and 4 h (T(1) and T(4)) after drug intake with a small error of 0.298 microg h(-1) ml(-1) between estimated and reference AUC(0-12).The population pharmacokinetic model of MPA was developed in children with INS. A three-point (T(0), T(1) and T(4)h) Bayesian estimator of AUC(0-12) was developed and might be used to investigate the relation between MPA pharmacokinetic and pharmacodynamics in children with INS and determine if there is any indication to monitor MPA exposure in order to improve patient outcome based on individual AUC-controlled MMF dosing.CONCLUSIONSThe population pharmacokinetic model of MPA was developed in children with INS. A three-point (T(0), T(1) and T(4)h) Bayesian estimator of AUC(0-12) was developed and might be used to investigate the relation between MPA pharmacokinetic and pharmacodynamics in children with INS and determine if there is any indication to monitor MPA exposure in order to improve patient outcome based on individual AUC-controlled MMF dosing.
Author Zhao, Wei
Cailliez, Mathilde
Jacqz‐Aigrain, Evelyne
Elie, Valéry
André, Jean Luc
Baudouin, Véronique
Loirat, Chantal
Bensman, Albert
Brochard, Karine
Broux, Françoise
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Issue 4
Keywords Human
Glomerulonephritis
Kidney disease
Population pharmacokinetics
Bayesian estimation
Urinary system disease
Mycophenolic acid
Statistical analysis
Idiopathic
MMF
Nephrotic syndrome
Immunomodulator
paediatrics
pharmacokinetics
Immunosuppressive agent
Inosine monophosphate dehydrogenase inhibitor
Child
MPA
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Snippet WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT • MMF has been proposed as a treatment of steroid‐dependent nephrotic syndrome and in the recent years, several...
To develop a population pharmacokinetic model for mycophenolic acid (MPA) in children with idiopathic nephrotic syndrome (INS) treated with mycophenolate...
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SourceType Open Access Repository
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StartPage 358
SubjectTerms Administration, Oral
Adolescent
Area Under Curve
Bayes Theorem
Bayesian estimation
Biological and medical sciences
Child
Child, Preschool
Chromatography, High Pressure Liquid
Enzyme Inhibitors - blood
Enzyme Inhibitors - pharmacokinetics
Female
Glomerulonephritis
Humans
Immunosuppressive Agents - pharmacokinetics
Immunosuppressive Agents - therapeutic use
Male
Medical sciences
MMF
Models, Biological
MPA
Mycophenolic Acid - analogs & derivatives
Mycophenolic Acid - blood
Mycophenolic Acid - pharmacokinetics
Mycophenolic Acid - therapeutic use
Nephrology. Urinary tract diseases
Nephropathies. Renovascular diseases. Renal failure
nephrotic syndrome
Nephrotic Syndrome - drug therapy
Paediatric Clinical Pharmacology
paediatrics
pharmacokinetics
Pharmacology. Drug treatments
Prospective Studies
Title Population pharmacokinetics and Bayesian estimator of mycophenolic acid in children with idiopathic nephrotic syndrome
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fj.1365-2125.2010.03615.x
https://www.ncbi.nlm.nih.gov/pubmed/20406220
https://www.proquest.com/docview/733901108
https://pubmed.ncbi.nlm.nih.gov/PMC2848409
Volume 69
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