Universiteit Leiden

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Research project

From Descriptive to Predictive Pharmacology in Children using Semi-Physiological population modelling

An integrated approach of physiological concepts, advanced statistical approaches and large clinical datasets.

Catherijne Knibbe
NWO Vidi 2012 NWO Vidi 2012

As 40-80% of medicines in children is still used unlicensed or off-label, children are at risk of receiving inappropriate doses leading to toxicity or lack of efficacy. For ethical and practical reasons paediatric clinical studies are difficult to perform, therefore, we propose to develop semi-physiological computer models that can be used to predict drug doses for each individual child. For these systems models, we integrate physiological concepts, advanced data analysis approaches, and large datasets from routine clinical practice.


The following projects are related to this research:

Cytochrome P450 3A-mediated first-pass and systemic drug metabolism in children

Pharmacodynamics of analgesics and sedatives in neonates and infants

From descriptive to predictive pharmacology in children using semi-physiological population modelling: application to hepatic metabolism

Predictive value of semi-physiological models for clearance of renally excreted drugs across the paediatric age range

Systems pharmacology-based optimization of post-operative morhpine treatment 

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