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Unified approach for extrapolation and bridging of adult information in early-phase dose-finding paediatric studies

Caroline Petit1, Adeline Samson2, Satoshi Morita3

  • 11 INSERM, UMRS 1138, CRC, Team 22, University of Paris 5, University of Paris 6, Paris, France.

Statistical Methods in Medical Research
|October 6, 2016
PubMed

Insights

This study introduces a method for pediatric clinical trials, using adult data to improve drug dose selection. This approach helps overcome challenges in pediatric studies by leveraging existing information effectively.

Area of Science:

  • Pharmacometrics
  • Pediatric Clinical Pharmacology
  • Biostatistics

Background:

  • Pediatric clinical studies often have small sample sizes due to ethical and logistical challenges.
  • Incorporating adult data into pediatric trial design is valuable but requires careful methodology.

Purpose of the Study:

  • To propose a unified method for designing and analyzing pediatric dose-finding trials.
  • To bridge pharmacokinetic and pharmacodynamic information from adult studies to pediatric applications.
  • To improve the precision and efficiency of dose selection in pediatric drug development.

Main Methods:

  • Utilized adult pharmacokinetic data for dose-range calculation under linear, allometry, and maturation adjustment extrapolation options.
  • Derived dose-toxicity and dose-efficacy relationship parameters from early-phase adult data.
  • Integrated prior information using Bayesian model selection and adaptive priors to calibrate models.

Main Results:

  • The proposed method enables the use of adult data to inform pediatric dose-finding.
  • Bayesian approaches help adjust for potential discrepancies between adult and pediatric data.
  • Simulation studies demonstrated improved dose selection in pediatric populations.

Conclusions:

  • The unified method offers a robust framework for pediatric dose-finding trials.
  • Leveraging adult data through carefully selected extrapolation and Bayesian methods enhances pediatric drug development.
  • This approach can lead to more accurate and efficient dose selection for pediatric patients.

Keywords:
Bayesian inferenceDose-findingadults observationsbridgingextrapolationpaediatrics trials

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