Zou Yuanxi, Nedelman Jerry, Karlsson Mats O, Svensson Elin M
Department of Pharmacy, Uppsala University, Uppsala, Sweden.
TB Alliance, New York, NY, USA.
Clin Pharmacokinet. 2025 Jun 30. doi: 10.1007/s40262-025-01542-z.
In pediatric trial design, it is particularly essential to maximize data utilization and ensure robust designs while minimizing sample collection. A common criterion to justify pediatric pharmacokinetic study designs is based on parameter precision (PP) evaluation, recommended by the US Food and Drug Administration. Here, we propose an alternative approach to design evaluation based on accuracy for dose selection (ADS).
This work was conducted using a simulation-and-reestimation framework, based on a real-case scenario of designing the single-dose pharmacokinetic study of the anti-tuberculosis (TB) drug pretomanid, with the aim of selecting doses for the next multidose long-term study. The study powers were computed using the ADS approach under scenarios with (1) real-case conditions, (2) high variabilities, (3) available options of tablet doses for selections. The study power using a PP approach was computed to compare with the ADS approach.
The ADS approach suggested that the design selected accurate doses with study power >80% in almost all dosing weight groups, whereas the PP approach found the design underpowered for clearance. The ADS-based power was decreased to ~65% in the smallest weight groups given high variability. Varying the options of dose levels affected the ADS-based power non-monotonically, although fewer levels generally yielded higher power.
The ADS approach practically evaluates the precision in dose selection, providing a directly relevant decision criterion for designing pediatric pharmacokinetic studies and could be an alternative for power evaluation when the study is focused on determining doses using discrete tablet sizes.
在儿科试验设计中,最大化数据利用并确保稳健设计同时最小化样本采集尤为重要。美国食品药品监督管理局推荐的用于证明儿科药代动力学研究设计合理性的一个常见标准是基于参数精度(PP)评估。在此,我们提出一种基于剂量选择准确性(ADS)的设计评估替代方法。
本研究基于抗结核药物pretomanid单剂量药代动力学研究设计的实际案例,采用模拟和重新估计框架,旨在为下一次多剂量长期研究选择剂量。在以下几种情况下使用ADS方法计算研究效能:(1)实际情况;(2)高变异性;(3)可供选择的片剂剂量选项。计算使用PP方法的研究效能以与ADS方法进行比较。
ADS方法表明,在几乎所有给药体重组中,所选设计能准确选择剂量,研究效能>80%,而PP方法发现该设计对于清除率而言效能不足。在最小体重组中,鉴于高变异性,基于ADS的效能降至约65%。改变剂量水平选项对基于ADS的效能有非单调影响,尽管较少的水平通常产生更高的效能。
ADS方法切实评估了剂量选择的精度,为儿科药代动力学研究设计提供了直接相关的决策标准,并且当研究专注于使用离散片剂尺寸确定剂量时,可作为效能评估的替代方法。