Clinical Pharmacometrics, Research & Development, Pharmaceuticals Bayer AG, Wuppertal, Germany.
Clinical Pharmacometrics, Research & Development, Pharmaceuticals Bayer AG, Berlin, Germany.
CPT Pharmacometrics Syst Pharmacol. 2019 Sep;8(9):654-663. doi: 10.1002/psp4.12446. Epub 2019 Aug 7.
Moxifloxacin is a widely used fluoroquinolone for the treatment of complicated intra-abdominal infections. We applied physiologically-based pharmacokinetic (PBPK) and population pharmacokinetic (popPK) modeling to support dose selection in pediatric patients. We scaled an existing adult PBPK model to children based on prior physiological knowledge. The resulting model proposed an age-dependent dosing regimen that was tested in a phase I study. Refined doses were then tested in a phase III study. A popPK analysis of all clinical pediatric data confirmed the PBPK predictions, including the proposed dosing schedule in children, and supported pharmacokinetics-related safety/efficacy questions. The pediatric PBPK model adequately predicted the doses necessary to achieve antimicrobial efficacy while maintaining safety in the phase I and III pediatric studies. Altogether, this study retroactively demonstrated the robustness and utility of modeling to support dose finding and confirmation in pediatric drug development for moxifloxacin.
莫西沙星是一种广泛用于治疗复杂腹腔内感染的氟喹诺酮类药物。我们应用基于生理学的药代动力学(PBPK)和群体药代动力学(popPK)模型来支持儿科患者的剂量选择。我们根据先前的生理学知识,将现有的成人 PBPK 模型扩展到儿童。该模型提出了一种基于年龄的给药方案,并在 I 期研究中进行了测试。经过优化的剂量随后在 III 期研究中进行了测试。对所有儿科临床数据的 popPK 分析证实了 PBPK 的预测结果,包括在儿童中提出的给药方案,并支持与药代动力学相关的安全性/疗效问题。儿科 PBPK 模型充分预测了在 I 期和 III 期儿科研究中实现抗菌疗效并保持安全性所需的剂量。总之,这项研究回顾性地证明了建模在支持儿童药物开发中寻找和验证莫西沙星剂量方面的稳健性和实用性。