Zhao Kai, Zhao Fang, Ju KangLu, Chen Hui, Zhai Xin, Chang Ying, Liu ZhenGuo
Department of Pharmacy, Northwest Women's and Children's Hospital, Xi'an, Shaanxi, China.
Microbiol Spectr. 2025 Jun 3;13(6):e0227424. doi: 10.1128/spectrum.02274-24. Epub 2025 May 14.
This study aimed to develop a population pharmacokinetics (PPK) model for vancomycin in non-extremely preterm neonates hospitalized in the neonatal intensive care unit (NICU), identify key factors affecting vancomycin pharmacokinetics in this patient population, and formulate an initial dosing protocol. A cohort of 126 neonates admitted to the NICU and treated with vancomycin at Northwest Women's and Children's Hospital from January 2019 to December 2023 were included in the study, resulting in the collection of 276 vancomycin concentration values. A PPK model for vancomycin was constructed using a nonlinear mixed-effects approach. The predictive power and stability of the final model were assessed through visual predictive checks, normalized prediction distribution errors, and bootstrapping. Serum creatinine (Scr) level, body weight, daily fluid input, and diuretic usage were identified as significant covariates affecting vancomycin clearance. Utilizing Monte Carlo simulations with the established model, initial recommended dosing regimens for neonates with varying Scr levels, daily fluid input, and diuretic use were estimated. The pharmacokinetic-pharmacodynamic model developed for vancomycin in non-extremely preterm neonates in the neonatal intensive care unit in this study may provide a theoretical reference for research on individualized medication.
A population pharmacokinetic model for vancomycin in neonatal intensive care unit neonates was developed. Daily fluid input and the use of diuretic agents were identified as new significant covariates influencing drug clearance. Based on these covariates, a dosing regimen was developed that provides clinicians with individualized dosing recommendations.
本研究旨在为新生儿重症监护病房(NICU)住院的非极早产儿建立万古霉素群体药代动力学(PPK)模型,确定影响该患者群体万古霉素药代动力学的关键因素,并制定初始给药方案。纳入了2019年1月至2023年12月在西北妇女儿童医院NICU住院并接受万古霉素治疗的126例新生儿队列,共收集到276个万古霉素浓度值。采用非线性混合效应方法构建万古霉素PPK模型。通过可视化预测检查、标准化预测分布误差和自抽样法评估最终模型的预测能力和稳定性。血清肌酐(Scr)水平、体重、每日液体摄入量和利尿剂使用情况被确定为影响万古霉素清除率的显著协变量。利用所建立的模型进行蒙特卡洛模拟,估计了不同Scr水平、每日液体摄入量和利尿剂使用情况的新生儿的初始推荐给药方案。本研究为新生儿重症监护病房非极早产儿开发的万古霉素药代动力学-药效学模型可能为个体化用药研究提供理论参考。
建立了新生儿重症监护病房新生儿万古霉素群体药代动力学模型。确定每日液体摄入量和利尿剂的使用为影响药物清除率的新的显著协变量。基于这些协变量制定了给药方案,为临床医生提供个体化给药建议。