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 in | British journal of clinical pharmacology Vol. 69; no. 4; pp. 358 - 366 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
01.04.2010
Blackwell Blackwell Science Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0306-5251 1365-2125 1365-2125 |
DOI | 10.1111/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. |
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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 |
Author_xml | – sequence: 1 givenname: Wei surname: Zhao fullname: Zhao, Wei – sequence: 2 givenname: Valéry surname: Elie fullname: Elie, Valéry – sequence: 3 givenname: Véronique surname: Baudouin fullname: Baudouin, Véronique – sequence: 4 givenname: Albert surname: Bensman fullname: Bensman, Albert – sequence: 5 givenname: Jean Luc surname: André fullname: André, Jean Luc – sequence: 6 givenname: Karine surname: Brochard fullname: Brochard, Karine – sequence: 7 givenname: Françoise surname: Broux fullname: Broux, Françoise – sequence: 8 givenname: Mathilde surname: Cailliez fullname: Cailliez, Mathilde – sequence: 9 givenname: Chantal surname: Loirat fullname: Loirat, Chantal – sequence: 10 givenname: Evelyne surname: Jacqz‐Aigrain fullname: Jacqz‐Aigrain, Evelyne |
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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 |
Language | English |
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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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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 |
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