1. Applying the Noninferiority Paradigm to Assess Exposure‐Response Similarity and Dose Between Pediatric and Adult Patients
- Author
-
Victor Crentsil, Jian Wang, Tara Altepeter, Rebecca Rothwell, Qunshu Zhang, Yifei Zhang, Rashid Jahidur, Christopher E. Jay, Charles J. Ganley, Gilbert J. Burckart, Jessica J. Lee, and James Travis
- Subjects
Adult ,Treatment response ,medicine.medical_specialty ,Pediatrics ,030226 pharmacology & pharmacy ,03 medical and health sciences ,0302 clinical medicine ,Drug Development ,Similarity (psychology) ,medicine ,Humans ,Drug Dosage Calculations ,Pharmacology (medical) ,Regulatory science ,Child ,Intensive care medicine ,Drug Approval ,Exposure response ,Probability ,Pharmacology ,Dose-Response Relationship, Drug ,Adult patients ,United States Food and Drug Administration ,business.industry ,Disease progression ,United States ,Pediatric drug ,Drug development ,Data Interpretation, Statistical ,030220 oncology & carcinogenesis ,business - Abstract
The use of extrapolation of efficacy in pediatric drug development programs is possible when disease progression and treatment response are similar in adult and pediatric populations. Historically, the exposure-response (E-R) similarity was assessed by visual inspection of 2 E-R curves to support pediatric extrapolation. The aim of this study was to develop a quantitative framework to describe the E-R relationship and the difference in E-R between pediatric and adult patients based on accumulated experience in pediatric drug development programs. Using clinical data for 8 drugs with either a linear or nonlinear E-R relationship, we adapted the methodology used in noninferiority testing to assess the E-R similarity between adult and pediatric patients at the targeted drug exposure. We implemented bootstrap-based and Bayesian-based methodologies to estimate the probability of concluding noninferiority of the E-R relationship. This approach provides objective criteria that can be applied to an assessment of E-R noninferiority in 2 populations to support extrapolation of efficacy in drug development programs from adults to pediatric populations.
- Published
- 2021