Pharmacokinetics of mycophenolate mofetil in children with lupus and clinical findings in favour of therapeutic drug monitoring

Aims The use of mycophenolate mofetil (MMF) in children with systemic lupus erythematosus (SLE) is increasing. However, the clinical benefit of its monitoring has been scarcely studied, and little is known about its pharmacokinetics in this context. The objectives of the present study were: (i) to d...

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Bibliographic Details
Published in:British journal of clinical pharmacology 2014-10, Vol.78 (4), p.867-876
Main Authors: Woillard, Jean‐Baptiste, Bader‐Meunier, Brigitte, Salomon, Rémi, Ranchin, Bruno, Decramer, Stéphane, Fischbach, Michel, Berard, Etienne, Guigonis, Vincent, Harambat, Jérôme, Dunand, Olivier, Tenenbaum, Julie, Marquet, Pierre, Saint‐Marcoux, Franck
Format: Article
Language:English
Subjects:
Adolescent
Area Under Curve
Bayes Theorem
Child
Child, Preschool
Drug Monitoring
Female
Humans
Immunosuppressive Agents - pharmacokinetics
Life Sciences
Logistic Models
Lupus Erythematosus, Systemic - drug therapy
Lupus Erythematosus, Systemic - metabolism
Male
mycophenolic acid
Mycophenolic Acid - analogs & derivatives
Mycophenolic Acid - pharmacokinetics
Pharmaceutical sciences
Pharmacokinetic Dynamic Relationships
pharmacokinetics
PK/PD
Retrospective Studies
systemic lupus erythematosus
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Summary:Aims The use of mycophenolate mofetil (MMF) in children with systemic lupus erythematosus (SLE) is increasing. However, the clinical benefit of its monitoring has been scarcely studied, and little is known about its pharmacokinetics in this context. The objectives of the present study were: (i) to describe mycophenolic acid (MPA, the active moiety of MMF) pharmacokinetics, (ii) to develop a Bayesian estimator (BE) allowing the determination AUC (area under the curve) from a limited number of blood samples and (iii) to explore the relationships between exposure indices to MPA and the clinical status in children with SLE. Methods This was a retrospective study including 36 children with SLE, extracted from the expert system ISBA, for whom full‐ pharmacokinetic profiles of MPA were collected together with clinical data. A pharmacokinetic model and a BE were developed using an iterative two stage Bayesian approach. ROC curve analyses and logistic regressions were used to investigate the association of exposure and active disease. Results A pharmacokinetic model and a BE were developed that allowed good AUC estimation performance (bias ± SD = −0.02 ± 0.15). ROC curve analyses showed that AUC/dose
ISSN:0306-5251
1365-2125
DOI:10.1111/bcp.12392