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

Frontiers in antibiotics Pub Date : 2025-05-08 eCollection Date: 2025-01-01 DOI:10.3389/frabi.2025.1568931
Sílvia M Illamola, Jiraganya Jj Bhongsatiern, Angela K Birnbaum, Shaun S Kumar, Joshua D Courter, David B Haslam, Karel Allegaert, David M Reith, Pankaj B Desai, Catherine M Sherwin
{"title":"Vancomycin dosing in neonates: enhancing outcomes using population pharmacokinetics and simulation.","authors":"Sílvia M Illamola, Jiraganya Jj Bhongsatiern, Angela K Birnbaum, Shaun S Kumar, Joshua D Courter, David B Haslam, Karel Allegaert, David M Reith, Pankaj B Desai, Catherine M Sherwin","doi":"10.3389/frabi.2025.1568931","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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<sub>24</sub>/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.</p><p><strong>Objective: </strong>To develop optimized vancomycin dosing regimens for neonates that achieve an 80% probability of target attainment (PTA) for an AUC<sub>24</sub>/MIC ≥ 400 mg h/L across diverse clinical cohorts and simulated neonatal populations.</p><p><strong>Methods: </strong>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<sup>®</sup>). 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.</p><p><strong>Results: </strong>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<sub>24</sub>/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%.</p><p><strong>Conclusion: </strong>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<sub>24</sub>/MIC target for preterm and term neonates. These findings offer a scalable framework for improving neonatal vancomycin pharmacotherapy across diverse populations and clinical settings.</p>","PeriodicalId":73065,"journal":{"name":"Frontiers in antibiotics","volume":"4 ","pages":"1568931"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12095254/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in antibiotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/frabi.2025.1568931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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 (AUC24/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 AUC24/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 AUC24/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 AUC24/MIC target for preterm and term neonates. These findings offer a scalable framework for improving neonatal vancomycin pharmacotherapy across diverse populations and clinical settings.

万古霉素在新生儿中的剂量:使用群体药代动力学和模拟增强结果。
前言:优化万古霉素在新生儿的剂量是一个关键而复杂的目标。传统的以药槽浓度为基础的给药策略与治疗效果相关性较差,而且往往不能解释新生儿显著的肾功能变异性和药物清除率。最低抑制浓度(AUC24/MIC)≥400 mg h/L的24小时浓度-时间曲线下面积已成为较好的药效学靶点。群体药代动力学(PopPK)模型通过纳入新生儿特异性因素如经后年龄(PMA)、胎龄(GA)、血清肌酐(SCr)和体重来优化给药。目的:在不同临床队列和模拟新生儿人群中,为AUC24/MIC≥400 mg h/L达到80%目标实现概率(PTA)的新生儿制定优化的万古霉素给药方案。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个人和2399万古霉素浓度,用于外部评估先前发表的PopPK模型(NONMEM®)。缺失的数据,包括体重,使用Amelia II 1.7.3版本的R进行输入,而Zelig用于R集成了多个输入数据集。考虑协变量PMA、GA、SCr、体重、估算体长等,利用MATLAB独立生成1万名新生儿的虚拟种群,模拟临床场景。结果:模拟显示PMA和SCr是显著改善PTA的关键协变量,特别是在早产儿中。在每日剂量为30或40毫克/公斤/天的情况下,早产儿的pta达到80%,而足月新生儿每8小时需要15毫克/公斤或每12小时需要20毫克/公斤。模拟表明,这些优化的给药策略在虚拟新生儿群体中对AUC24/MIC≥400 mg h/L达到80%的PTA。对于PMA < 29周且SCr为0.6 mg/dL的新生儿,将SCr作为协变量将实现目标的可能性从65%增加到87%。结论:将PMA和SCr等发育因素纳入万古霉素给药策略可获得可靠且与临床相关的结果。优化方案实现了80%的PTA为早产儿和足月新生儿的AUC24/MIC目标。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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信