Cao Ailing, Li Qiaoxi, Han Minzhen, Liu Qian, Liang Heng, Tan Lu, Guan Yanping
Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, China.
Department of Pharmacy, The First People's Hospital of Foshan, Foshan, China.
J Clin Pharmacol. 2024 Sep 3. doi: 10.1002/jcph.6126.
Vancomycin has a narrow therapeutic window and a high inter-individual pharmacokinetic variability, especially in neonates with fast maturational and pathophysiological changes, that needs individualized dosing. Physiologically based pharmacokinetic (PBPK) model and population pharmacokinetic (PopPK) model are both useful tools in model-informed precision dosing, while the former is under research in application of vancomycin in neonates. This study aimed to develop a PBPK model of vancomycin in adult and pediatric population, and compared it with published PopPK model (priori or Bayesian method) in predicting vancomycin concentration in 230 neonatal patients (postmenstrual age, PMA, 25-45 weeks). The developed PBPK model showed a good fit between predictions and observations. PBPK model and PopPK model are complementary in different clinical scenarios of vancomycin application. The physiological-change description of PBPK model showed a superior advantage in initial dosing optimization. As for subsequent dose optimization, PopPK Bayesian forecasting performed better than the PBPK estimation in neonates. However, initial precision dosing tools for early neonates (with PMA < 36 weeks) still need further exploitation.
万古霉素的治疗窗较窄,个体间药代动力学变异性高,尤其是在具有快速成熟和病理生理变化的新生儿中,这需要个体化给药。基于生理的药代动力学(PBPK)模型和群体药代动力学(PopPK)模型都是模型指导下精准给药的有用工具,而前者在万古霉素在新生儿中的应用研究中仍处于探索阶段。本研究旨在建立成人和儿童群体万古霉素的PBPK模型,并将其与已发表的PopPK模型(先验法或贝叶斯法)在预测230例新生儿患者(孕龄,PMA,25 - 45周)万古霉素浓度方面进行比较。所建立的PBPK模型在预测值与观测值之间显示出良好的拟合度。PBPK模型和PopPK模型在万古霉素应用的不同临床场景中具有互补性。PBPK模型对生理变化的描述在初始给药优化方面显示出显著优势。至于后续剂量优化,PopPK贝叶斯预测在新生儿中比PBPK估计表现更好。然而,早期新生儿(PMA < 36周)的初始精准给药工具仍需进一步开发。