Prediction of Infant Drug Exposure Through Breastfeeding: Population PK Modeling and Simulation of Fluoxetine Exposure.

Détails

ID Serval
serval:BIB_A212696EF074
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Prediction of Infant Drug Exposure Through Breastfeeding: Population PK Modeling and Simulation of Fluoxetine Exposure.
Périodique
Clinical Pharmacology and Therapeutics
Auteur(s)
Panchaud A., Garcia-Bournissen F., Csajka C., Kristensen J.H., Taddio A., Ilett K.F., Begg E.J., Ito S.
ISSN
1532-6535 (Electronic)
ISSN-L
0009-9236
Statut éditorial
Publié
Date de publication
2011
Peer-reviewed
Oui
Volume
89
Numéro
6
Pages
830-836
Langue
anglais
Notes
Publication types: Journal ArticlePublication Status: ppublish
Résumé
The likelihood of significant exposure to drugs in infants through breast milk is poorly defined, given the difficulties of conducting pharmacokinetics (PK) studies. Using fluoxetine (FX) as an example, we conducted a proof-of-principle study applying population PK (popPK) modeling and simulation to estimate drug exposure in infants through breast milk. We simulated data for 1,000 mother-infant pairs, assuming conservatively that the FX clearance in an infant is 20% of the allometrically adjusted value in adults. The model-generated estimate of the milk-to-plasma ratio for FX (mean: 0.59) was consistent with those reported in other studies. The median infant-to-mother ratio of FX steady-state plasma concentrations predicted by the simulation was 8.5%. Although the disposition of the active metabolite, norfluoxetine, could not be modeled, popPK-informed simulation may be valid for other drugs, particularly those without active metabolites, thereby providing a practical alternative to conventional PK studies for exposure risk assessment in this population.
Pubmed
Web of science
Création de la notice
30/05/2011 14:02
Dernière modification de la notice
20/08/2019 15:08
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