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新生儿万古霉素给药:利用群体药代动力学和模拟改善治疗效果

Vancomycin dosing in neonates: enhancing outcomes using population pharmacokinetics and simulation.

作者信息

Illamola Sílvia M, Bhongsatiern Jiraganya Jj, Birnbaum Angela K, Kumar Shaun S, Courter Joshua D, Haslam David B, Allegaert Karel, Reith David M, Desai Pankaj B, Sherwin Catherine M

机构信息

Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, United States.

Department of Pharmaceutical Sciences, University of Cincinnati, Cincinnati, OH, United States.

出版信息

Front Antibiot. 2025 May 8;4:1568931. doi: 10.3389/frabi.2025.1568931. eCollection 2025.

Abstract

INTRODUCTION

Optimizing vancomycin dosing in neonates is a critical yet complex goal. Traditional trough concentration-based dosing strategies correlate poorly with therapeutic efficacy and often fail to account for the significant renal function variability and drug clearance in neonates. The 24-hour area under the concentration-time curve to minimum inhibitory concentration (AUC/MIC) ≥ 400 mg h/L has emerged as a superior pharmacodynamic target. Population pharmacokinetics (PopPK) models allow optimized dosing by incorporating neonatal-specific factors such as postmenstrual age (PMA), gestational age (GA), serum creatinine (SCr), and weight.

OBJECTIVE

To develop optimized vancomycin dosing regimens for neonates that achieve an 80% probability of target attainment (PTA) for an AUC/MIC ≥ 400 mg h/L across diverse clinical cohorts and simulated neonatal populations.

METHODS

Real-world data from three international centers (Belgium, New Zealand, USA), including 610 individuals and 2399 vancomycin concentrations, were used to externally evaluate a previously published PopPK model (NONMEM). Missing data, including body weight, were imputed using Amelia II version 1.7.3 for R, while Zelig for R integrated multiple imputed datasets. A virtual population of 10,000 neonates was independently generated using MATLAB to simulate clinical scenarios considering covariates such as PMA, GA, SCr, body weight, and imputed body length.

RESULTS

Simulations showed that PMA and SCr were key covariates that significantly improved PTA, particularly in preterm neonates. Preterm neonates achieved PTAs of 80% with daily doses of 30 or 40 mg/kg/day, while term neonates required 15 mg/kg every 8 hours or 20 mg/kg every 12 hours. The simulations demonstrated that these optimized dosing strategies achieved an 80% PTA for AUC/MIC ≥ 400 mg h/L in the virtual neonatal population. For neonates with PMA < 29 weeks and SCr > 0.6 mg/dL, including SCr as a covariate increased the likelihood of achieving the target from 65% to 87%.

CONCLUSION

Incorporating developmental factors like PMA and SCr into vancomycin dosing strategies achieved robust and clinically relevant outcomes. The optimized regimens achieved an 80% PTA for the AUC/MIC target for preterm and term neonates. These findings offer a scalable framework for improving neonatal vancomycin pharmacotherapy across diverse populations and clinical settings.

摘要

引言

优化新生儿万古霉素给药方案是一个关键但复杂的目标。传统的基于谷浓度的给药策略与治疗效果相关性较差,且往往未能考虑到新生儿显著的肾功能变异性和药物清除率。24小时浓度-时间曲线下面积与最低抑菌浓度之比(AUC/MIC)≥400 mg·h/L已成为一个更优的药效学目标。群体药代动力学(PopPK)模型通过纳入胎龄(PMA)、孕周(GA)、血清肌酐(SCr)和体重等新生儿特异性因素来实现优化给药。

目的

为新生儿制定优化的万古霉素给药方案,使其在不同临床队列和模拟新生儿群体中达到AUC/MIC≥400 mg·h/L的目标达标概率(PTA)为80%。

方法

来自三个国际中心(比利时、新西兰、美国)的真实世界数据,包括610名个体和2399次万古霉素浓度数据,用于外部评估先前发表的PopPK模型(NONMEM)。使用适用于R的Amelia II 1.7.3版本对包括体重在内的缺失数据进行插补,而适用于R的Zelig整合了多个插补数据集。使用MATLAB独立生成了一个包含10,000名新生儿的虚拟群体,以模拟考虑PMA、GA、SCr、体重和插补身长等协变量的临床场景。

结果

模拟显示,PMA和SCr是显著提高PTA的关键协变量,尤其是在早产儿中。早产儿每日剂量为30或40 mg/kg/天时PTA达到80%,而足月儿每8小时需15 mg/kg或每12小时需20 mg/kg。模拟表明,这些优化的给药策略在虚拟新生儿群体中实现了AUC/MIC≥400 mg·h/L时80%的PTA。对于PMA<29周且SCr>0.6 mg/dL的新生儿,将SCr作为协变量纳入可使达到目标的可能性从65%提高到87%。

结论

将PMA和SCr等发育因素纳入万古霉素给药策略可实现稳健且与临床相关的结果。优化方案在早产儿和足月儿中实现了AUC/MIC目标80%的PTA。这些发现为在不同人群和临床环境中改善新生儿万古霉素药物治疗提供了一个可扩展的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c29/12095254/f6495278d9b9/frabi-04-1568931-g001.jpg

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