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Population pharmacokinetics of valproate in Mexican children with epilepsy
Tania Correa1, Ildefonso Rodríguez, Silvia Romano
1Pharmacy Department, Facultad de Ciencias Químicas, Universidad Autónoma de San Luis Potosí, Av. Manuel Nava No 6, San Luis Potosí, México.
Insights
Valproate clearance in Mexican pediatric epilepsy patients is influenced by total body weight, daily dose, and phenobarbital use. These factors are crucial for optimizing valproate dosage regimens.
Area of Science:
- Pharmacokinetics
- Pediatric Epilepsy
Background:
- Valproic acid (VPA) is a common antiepileptic drug.
- Understanding VPA clearance (CL) is vital for effective treatment in children.
- Sparse VPA serum concentrations were analyzed from routine clinical care.
Purpose of the Study:
- To identify factors affecting VPA CL in Mexican pediatric epilepsy patients.
- To develop a population pharmacokinetic model for VPA.
Main Methods:
- A mixed-effect model was employed using NONMEM software.
- 110 pediatric patients with epilepsy were included.
- Covariates tested included body weight, dose, age, sex, and comedications (phenobarbital, carbamazepine).
Main Results:
- The final model: CL/F=(0.0466+0.00363 TBW+0.000282 DD)*(1+0.236 PB).
- Total body weight (TBW), daily dose (DD), and phenobarbital (PB) significantly impacted VPA CL.
- The model reduced interindividual variability by 50% and residual variability by 31%.
Conclusions:
- TBW, DD, and PB are key determinants of VPA kinetic disposition in pediatric epilepsy.
- These factors should guide VPA dosage regimen programming.
- The model's validation supports its clinical applicability.
Background:
The aim of this study was to determine the factors that influence valproate clearance (CL) in Mexican epileptic pediatric patients using a mixed-effect model and sparse data of serum concentrations of valproic acid (VPA) collected during routine clinical care of patients.
Methods:
The number of patients included in the study was 110. The population CL was calculated by using the NONMEM program. The following covariates were tested by their influence on CL: total body weight (TBW), height, age, body surface area, daily dose (DD), sex of the patient and comedication with phenobarbital (PB) or carbamazepine.
Results:
The final regression model for valproic CL found best to describe the data was: CL/F=(0.0466+0.00363 TBW+0.000282 DD)*(1+0.236 PB). This model allows a reduction of 50% of the interindividual variability and of 31% of the residual variability described by the basic model that does not include covariables.
Conclusions:
Total body weight, daily dose of valproate and concomitant therapy with PB are factors that significantly influence VPA kinetic disposition and they should be considered in programming dosage regimens for this antiepileptic drug in the pediatric population. The validation of the model supports its acceptability for clinical purposes.
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