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Published on: February 4, 2014
Population pharmacokinetics of olanzapine in children
Anil R Maharaj1, Huali Wu1, Kanecia O Zimmerman1,2
1Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Insights
This study developed a population pharmacokinetic (PopPK) model for olanzapine in children, creating a dosing scheme to achieve similar drug exposure levels as in adolescents and adults. Body weight and postmenstrual age influence olanzapine clearance in pediatric patients.
Area of Science:
- Pharmacokinetics
- Pediatric Pharmacology
- Drug Development
Background:
- Olanzapine is used in pediatric populations, but dosing requires optimization.
- Understanding population pharmacokinetics (PopPK) is crucial for safe and effective pediatric drug use.
Purpose of the Study:
- To evaluate the population pharmacokinetics (PopPK) of olanzapine in children.
- To develop a model-informed pediatric dosing strategy for olanzapine.
Main Methods:
- Utilized a nonlinear mixed-effects modeling approach (NONMEM v7.4) with plasma samples from pediatric patients.
- Developed a one-compartment model with linear elimination, incorporating body weight and postmenstrual age (PMA) as covariates.
Main Results:
- The final PopPK model identified body weight and PMA as key covariates affecting olanzapine clearance (CL/F).
- Dosing schemes were developed, differentiating between infants (<6 months or <15 kg) and older children (≥15 kg).
Conclusions:
- This study presents the first PopPK model for enterally-administered olanzapine in pediatric patients from infancy to adolescence.
- Body weight and PMA are critical factors in olanzapine's apparent clearance during pediatric development.
Aims:
The aim of this study was to evaluate the population pharmacokinetics (PopPK) of olanzapine in children and devise a model-informed paediatric dosing scheme.
Methods:
The PopPK of olanzapine was characterized using opportunistically collected plasma samples from children receiving olanzapine per standard of care for any indication. A nonlinear mixed effect modelling approach was employed for model development using the software NONMEM (v7.4). Simulations from the developed PopPK model were used to devise a paediatric dosing scheme that targeted comparable plasma exposures to adolescents and adults.
Results:
Forty-five participants contributed 83 plasma samples towards the analysis. The median (range) postnatal age and body weight of participants were 3.8 years (0.2-19.2) and 14.1 kg (4.2-111.7), respectively. The analysis was restricted to pharmacokinetic (PK) samples collected following enteral administration (oral and feeding tube). A one-compartment model with linear elimination provided an appropriate fit to the data. The final model included the covariates body weight and postmenstrual age (PMA) on apparent olanzapine clearance (CL/F). Typical CL/F and apparent volume of distribution (scaled to 70 kg) were 16.8 L/h (21% RSE) and 663 L (13% RSE), respectively. Developed dosing schemes used weight-normalized doses for children ≤6 months postnatal age or <15 kg and fixed doses for children ≥15 kg.
Conclusion:
We developed a paediatric PopPK model for enterally-administered olanzapine. To our knowledge, this analysis is the first study to characterize the PK of olanzapine in participants ranging from infants to adolescents. Body weight and PMA were identified as influential covariates for characterizing developmental changes in olanzapine apparent clearance.
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