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

Details

Serval ID
serval:BIB_A212696EF074
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Prediction of Infant Drug Exposure Through Breastfeeding: Population PK Modeling and Simulation of Fluoxetine Exposure.
Journal
Clinical Pharmacology and Therapeutics
Author(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
Publication state
Published
Issued date
2011
Peer-reviewed
Oui
Volume
89
Number
6
Pages
830-836
Language
english
Notes
Publication types: Journal ArticlePublication Status: ppublish
Abstract
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
Create date
30/05/2011 14:02
Last modification date
20/08/2019 15:08
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