Population Pharmacokinetics of Antiretroviral in Children

NCT ID: NCT03194165

Last Updated: 2025-09-15

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

65 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-06-16

Study Completion Date

2022-06-16

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The purpose of this study is to develop population pharmacokinetic models for antiretroviral drugs in a pediatric population.

The interest of these models is multiple :

* describe the pharmacokinetics of these drugs in children and explain the inter-individual variability of concentrations through covariates such as weight, age, sex, smoking status, co-treatments and bilirubin;
* 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

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

HIV (Human Immunodeficiency Virus) affects 36.7 million people worldwide. Major advances have been made in the discovery of antiretroviral therapy, significantly improving the lives of patients. Although these treatments have been studied and validated in adults, ethical and technical difficulties are hampering research in the pediatric population. However, it is important to know the administration patterns in children, as during its development, multiple physiological changes affect the pharmacokinetics as well as pharmacodynamics of drugs. As a result, the child can not be considered as a small adult and it is not possible to adjust the dosage by taking into account only his weight, age or body surface area.

In France, monitoring of HIV-infected children includes quantification of viral load and may also include pharmacological therapeutic monitoring. In fact, blood samples in children are taken to verify compliance is correct and their plasma concentrations are considered to be effective. Many data are thus generated and not exploited. However, a population pharmacokinetic method would allow us to understand the variability of concentrations existing between these children.

Demographic factors (age, sex, weight, smoking status, etc.) and clinical (bilirubinemia, viral load, genetics, co-treatments, etc.) can be included as covariates to explain inter-individual variability. This method of study is interesting in pediatrics because it has the advantage of being able to include many patients with little sampling per subject. The data used are generally plasma concentrations obtained as a result of sampling performed as part of the therapeutic follow-up of patients.

In clinical practice, the pharmacokinetic model allows to simulate doses and frequencies of administration but also to predict drug interactions. Indeed, patients infected with HIV are often poly-medicated, which represents a risk of drug interactions, especially since many molecules are inducing / inhibiting cytochromes P450.

The main goal is to develop population pharmacokinetic models for antiretroviral drugs in children.

The interest of these models is multiple:

* describe the pharmacokinetics of these drugs in children and explain the inter-individual variability of concentrations through covariates such as weight, age, sex, smoking status, co-treatments and bilirubin;
* 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 antiretroviral drugs, accounting for the strength of interactions between them during multiple therapies.
* Link antiretroviral concentrations to the effects of treatment (decreased viral load) : pharmacokinetic-pharmacodynamic study with concentration / efficacy and concentration / toxicity relationships.
* The evaluation of preexisting models in the literature and the comparison of our 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 antiretroviral molecule(s) and whose blood dosage of the drug(s) as part of their therapeutic follow-up is available

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Minor Patient Treated by One or More Antiretroviral and for Which a Blood Test Has Been Performed

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

antiretroviral dosage

titration of Dolutegravir, Raltegravir, Rilpivirine, Nevirapine, Atazanavir, Darunavir, Ritonavir

Dolutegravir

Intervention Type BIOLOGICAL

Dosage

Raltegravir

Intervention Type BIOLOGICAL

Dosage

Rilpivirine

Intervention Type BIOLOGICAL

Dosage

Nevirapine

Intervention Type BIOLOGICAL

Dosage

Atazanavir

Intervention Type BIOLOGICAL

Dosage

Darunavir

Intervention Type BIOLOGICAL

Dosage

Ritonavir

Intervention Type BIOLOGICAL

Dosage

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Dolutegravir

Dosage

Intervention Type BIOLOGICAL

Raltegravir

Dosage

Intervention Type BIOLOGICAL

Rilpivirine

Dosage

Intervention Type BIOLOGICAL

Nevirapine

Dosage

Intervention Type BIOLOGICAL

Atazanavir

Dosage

Intervention Type BIOLOGICAL

Darunavir

Dosage

Intervention Type BIOLOGICAL

Ritonavir

Dosage

Intervention Type BIOLOGICAL

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Children from 0 to 18 years;
* Treatment with one antiretroviral drug (s) studied (dolutegravir, raltégravir, rilpivirine, nevirapine, atazanavir, darunavir, ritonavir));
* Blood dosage of the drug (s) as part of their therapeutic follow-up in the Pharmacology laboratory of the Cochin hospital between 2007 and 2017

Exclusion Criteria

* Concentration too low below the limit of quantification (indicating an absence of medication
* patient with doubt about compliance
Maximum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

URC-CIC Paris Descartes Necker Cochin

OTHER

Sponsor Role collaborator

Assistance Publique - Hôpitaux de Paris

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Jean-Marc TRELUYER

Role: PRINCIPAL_INVESTIGATOR

Assistance Publique - Hôpitaux de Paris

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Cochin Hospital

Paris, paris, France

Site Status

Countries

Review the countries where the study has at least one active or historical site.

France

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

NI17010HLJ

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.