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Population Pharmacokinetics of Antiepileptic in Pediatrics

Population Pharmacokinetics of Antiepileptic in Pediatrics

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03196466
Acronym
EPIPOP
Enrollment
753
Registered
2017-06-22
Start date
2017-06-19
Completion date
2023-06-15
Last updated
2025-11-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Epilepsy

Keywords

antiepileptics, pharmacokinetics, children, genetic polymorphisms

Brief summary

The purpose of this study is to develop population pharmacokinetic models for antiepileptic drugs in a pediatric population. The interest of these models is multiple: * describe the pharmacokinetics of these molecules in children and explain the inter-individual variability of concentrations through covariates such as weight, age, co-treatments, genetic polymorphisms and renal function; * estimate maximum, minimum and exposure concentrations from the individual pharmacokinetic parameters for each patient; * propose adaptations of doses for certain classes of children (according to age, weight etc.) and individualize the doses.

Detailed description

Epilepsy affects about 1% of the population, with a peak incidence in childhood, and persistent seizures on antiepileptic therapy in approximately 30% of patients. Over the past two decades, many antiepileptic molecules have emerged, raising the question of their optimal use, especially in pediatrics, where pharmacokinetics and pharmacodynamics are different from adults and largely influenced by age and development. The pharmacokinetics of antiepileptics have been little studied in pediatric populations. In children, it is important to know if a maturational effect (of age) has to be taken into account in addition to the physiological effect (of the weight) to adapt the doses. Moreover, these molecules are often used in combination and lot of enzyme interactions make their use delicate. All of these factors explain the existence of significant inter-individual variability in the pediatric population. The implication of the demographic and medicinal factors mentioned above, as well as the balance of efficacy / undesirable effects, justify the interest of a pharmacological monitoring of these drugs in a pediatric population. The use of population pharmacokinetics is particularly interesting in children because it requires only a small number of samples per patient and can be used to describe the predominant inter-individual variability in this population. The main goal is to develop population pharmacokinetic models for the following antiepileptic drugs in children: valproic acid, carbamazepine, phenobarbital, phenytoin, levetiracetam, lamotrigine, topiramate, oxcarbazepine, stiripentol, clobazam, brivaracétam, felbamate, lacosamide, rufinamide, gabapentine, pregabaline, sultiame, tiagabine, vigabatrine, mesuximide, primidone, perampanel, ethosuximide, zonisamide and cannabidiol. The interest of these models is multiple: * describe the pharmacokinetics of these molecules in children and explain the interindividual variability of concentrations through covariates such as weight, age, co-treatments, genetic polymorphisms and renal function; * estimate maximum, minimum and exposure concentrations from the individual pharmacokinetic parameters for each patient; * propose adaptations of doses for certain classes of children (according to age, weight etc.) and individualize the doses. The secondary objectives of this work are: * Build models jointly with several antiepileptic drugs, accounting for the strength of interactions between them during multiple therapies. * Link antiepileptic concentrations to the effects of treatment (reduction or cessation of seizures): pharmacokinetic-pharmacodynamic study with concentration / efficacy and concentration / toxicity relationships. * The evaluation of preexisting models in the literature and the comparison of the data with the results of these models (external validation). Pharmaco-statistical analysis will be carried out on the retrospective data of patients treated with one or more antiepileptic molecule (s) and whose blood dosage of the drug(s) as part of their therapeutic follow-up is available. The study of genetic polymorphisms will be carried out from available blood samples, collected and stored as part of therapeutic follow-up of patients.

Interventions

BIOLOGICALValproic acid

titration

BIOLOGICALcarbamazepine

titration

BIOLOGICALphenobarbital

titration

BIOLOGICALphenytoin

titration

BIOLOGICALlevetiracetam

titration

BIOLOGICALlamotrigine

titration

BIOLOGICALtopiramate

titration

BIOLOGICALoxcarbazepine

titration

BIOLOGICALstiripentol

titration

BIOLOGICALclobazam

titration

BIOLOGICALbrivaracétam

titration

BIOLOGICALfelbamate

titration

BIOLOGICALlacosamide

titration

BIOLOGICALrufinamide

titration

BIOLOGICALgabapentine

titration

BIOLOGICALpregabaline

titration

BIOLOGICALsultiame

titration

BIOLOGICALtiagabine

titration

BIOLOGICALvigabatrine

titration

BIOLOGICALmesuximide

titration

BIOLOGICALprimidone

titration

BIOLOGICALperampanel

titration

BIOLOGICALethosuximide

titration

BIOLOGICALzonisamide

titration

BIOLOGICALcannabidiol

titration

genetic polymorphisms

Sponsors

URC-CIC Paris Descartes Necker Cochin
CollaboratorOTHER
Assistance Publique - Hôpitaux de Paris
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
No minimum to 18 Years
Healthy volunteers
No

Inclusion criteria

* Children from 0 to 18 years of age with epilepsy; * Treatment with one or more antiepileptic drug (s) studied (valproic acid, carbamazepine, phenobarbital, phenytoin, levetiracetam, lamotrigine, topiramate, oxcarbazepine, stiripentol, clobazam, brivaracétam, felbamate, lacosamide, rufinamide, gabapentine, pregabaline, sultiame, tiagabine, vigabatrine, mesuximide, primidone, perampanel, ethosuximide, zonisamide and cannabidiol); * Blood dosage of the drug (s) as part of their therapeutic follow-up in the Pharmacology laboratory of the Cochin hospital between 2007 and 2019

Exclusion criteria

* patient with missing data on time of last drug taking, time of collection, co-treatments and / or dose administered; * patient with doubt about compliance

Design outcomes

Primary

MeasureTime frame
Volume of distributionthrough study completion, an average of 5 years
Absorption constantthrough study completion, an average of 5 years
Clearancethrough study completion, an average of 5 years

Secondary

MeasureTime frameDescription
Composite measure of the inter-individual variabilitythrough study completion, an average of 5 yearsCovariates of inter-individual variability : age, weight, co-treatments, genetic polymorphisms and renal function

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026