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Characterizing variability in warfarin dose requirements in children using modelling and simulation
Anna-Karin Hamberg1, Mia Wadelius, Lena E Friberg
1Department of Medical Sciences, Clinical Pharmacology, Uppsala University, Uppsala, Sweden.
Insights
Genetic and clinical factors significantly influence warfarin dosing in children, similar to adults. This study quantifies these factors to enable more personalized and safer warfarin therapy for pediatric patients.
Area of Science:
- Pharmacogenomics
- Pediatric pharmacology
- Drug dosing optimization
Background:
- Inter-individual variability in warfarin dose is substantial in adults, influenced by genetic, clinical, and demographic factors.
- Causes of warfarin dose variability in children remain less understood compared to adults.
Purpose of the Study:
- To identify and quantify major genetic, clinical, and demographic factors affecting warfarin dose variability in children.
- To update and optimize an adult pharmacometric warfarin model for pediatric use.
Main Methods:
- Utilized clinical, demographic, and genetic data from 163 children.
- Applied pharmacometric modeling and simulation to an updated adult warfarin model.
- Analyzed over 183 years of warfarin therapy and 6445 INR observations.
Main Results:
- CYP2C9 genotype explained up to a four-fold dose difference; VKORC1 genotype explained up to a two-fold dose difference.
- Non-linear relationship observed between bodyweight and warfarin dose.
- Age, baseline/target INR, and time since therapy initiation significantly impacted pediatric warfarin dose, unlike CYP4F2 genotype.
Conclusions:
- The updated model quantifies key factors influencing pediatric warfarin dose variability.
- This knowledge can facilitate the development of individualized dosing regimens.
- Improved efficacy and safety of warfarin therapy in children can be pursued through prospective evaluation of optimized regimens.
Aims:
Although genetic, clinical and demographic factors have been shown to explain approximately half of the inter-individual variability in warfarin dose requirement in adults, less is known about causes of dose variability in children. This study aimed to identify and quantify major genetic, clinical and demographic sources of warfarin dose variability in children using modelling and simulation.
Methods:
Clinical, demographic and genetic data from 163 children with a median age of 6.3 years (range 0.06-18.9 years), covering over 183 years of warfarin therapy and 6445 INR observations were used to update and optimize a published adult pharmacometric warfarin model for use in children.
Results:
Genotype effects in children were found to be comparable with what has been reported for adults, with CYP2C9 explaining up to a four-fold difference in dose (CYP2C9 *1/*1 vs. *3/*3) and VKORC1 explaining up to a two-fold difference in dose (VKORC1 G/G vs. A/A), respectively. The relationship between bodyweight and warfarin dose was non-linear, with a three-fold difference in dose for a four-fold difference in bodyweight. In addition, age, baseline and target INR, and time since initiation of therapy, but not CYP4F2 genotype, had a significant impact on typical warfarin dose requirements in children.
Conclusions:
The updated model provides quantitative estimates of major clinical, demographic and genetic factors impacting on warfarin dose variability in children. With this new knowledge more individualized dosing regimens can be developed and prospectively evaluated in the pursuit of improving both efficacy and safety of warfarin therapy in children.
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