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Model-Informed Drug Development in Pediatric Dose Selection
- Source :
- Journal of clinical pharmacologyReferences. 61
- Publication Year :
- 2020
-
Abstract
- Model-informed drug development (MIDD) has been a powerful and efficient tool applied widely in pediatric drug development due to its ability to integrate and leverage existing knowledge from different sources to narrow knowledge gaps. The dose selection is the most common MIDD application in regulatory submission related to pediatric drug development. This article aims to give an overview of the 3 broad categories of use of MIDD in pediatric dose selection: leveraging from adults to pediatric patients, leveraging from animals to pediatric patients, and integrating mechanism in infants and neonates. Population pharmacokinetic analyses with allometric scaling can reasonably predict the clearance in pediatric patients aged >5 years. A mechanistic-based approach, such as physiologically based pharmacokinetic accounting for ontogeny, or an allometric model with age-dependent exponent, can be applied to select the dose in pediatric patients aged ≤2 years. The exposure-response relationship from adults or from other drugs in the same class may be useful in aiding the pediatric dose selection and benefit-risk assessment. Increasing application and understanding of use of MIDD have contributed greatly to several policy developments in the pediatric field. With the increasing efforts of MIDD under the Prescription Drug User Fee Act VI, bigger impacts of MIDD approaches in pediatric dose selection can be expected. Due to the complexity of model-based analyses, early engagement between drug developers and regulatory agencies to discuss MIDD issues is highly encouraged, as it is expected to increase the efficiency and reduce the uncertainty.
- Subjects :
- medicine.medical_specialty
Population
Allometric model
030226 pharmacology & pharmacy
Models, Biological
Pediatrics
03 medical and health sciences
0302 clinical medicine
Cytochrome P-450 Enzyme System
Drug Development
medicine
Humans
Pharmacology (medical)
Pharmacokinetics
Intensive care medicine
education
Prescription Drug User Fee Act
Child
Pharmacology
education.field_of_study
Dose-Response Relationship, Drug
business.industry
Regulatory Submission
Pediatric drug
Drug development
030220 oncology & carcinogenesis
Data Interpretation, Statistical
business
Dose selection
Subjects
Details
- ISSN :
- 15524604
- Volume :
- 61
- Database :
- OpenAIRE
- Journal :
- Journal of clinical pharmacologyReferences
- Accession number :
- edsair.doi.dedup.....78c003c2cc904dac61e3e6edc375d0e7