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Physiologically Based Pharmacokinetics Model in Pregnancy: A Regulatory Perspective on Model Evaluation
Paola Coppola1, Essam Kerwash1, Susan Cole1
1Medicines and Healthcare Products Regulatory Agency, London, United Kingdom.
Physiologically based pharmacokinetic (PBPK) modeling can predict how pregnancy affects drug pharmacokinetics. Well-qualified PBPK models are crucial for informing regulatory decisions and assessing fetal risk.
Area of Science:
- Pharmacology and Toxicology
- Computational Biology
- Reproductive Medicine
Background:
- Clinical pharmacokinetic data during pregnancy is limited.
- Physiological and anatomical changes during pregnancy significantly impact drug pharmacokinetics.
- Physiologically based pharmacokinetic (PBPK) modeling is a key tool in medicine development.
Purpose of the Study:
- To explore the application of PBPK modeling in understanding drug pharmacokinetics during pregnancy.
- To assess the potential of PBPK models to inform benefit-risk decisions and dose adjustments in pregnant populations.
- To evaluate the use of PBPK modeling for predicting drug transfer to the fetus and supporting risk assessment.
Main Methods:
- Utilizing PBPK modeling to simulate drug pharmacokinetics considering pregnancy-related physiological changes.
- Reviewing considerations for model evaluation in regulatory contexts.
- Identifying key physiological parameters affected by gestational age.
Main Results:
- PBPK modeling offers a predictive approach for drug behavior in pregnancy.
- Model evaluation must be tailored to the specific application to ensure confidence.
- Gestational age-specific physiological changes introduce uncertainties in pharmacokinetic predictions.
Conclusions:
- PBPK modeling can support regulatory decision-making for medications in pregnancy.
- Further refinement and qualification of PBPK models are necessary for reliable predictions.
- Accurate PBPK models are essential for informed dosing and fetal risk assessment.
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