文献综述

儿科万古霉素模型引导精准用药的临床应用与挑战

  • 姚昀璐 ,
  • 许海鑫 ,
  • 刘昕竹 ,
  • 陈霁晖 ,
  • 卜书红
展开
  • 上海交通大学医学院附属新华医院临床药学部(上海 200092)
卜书红 电子信箱:sophia5237@126.com

收稿日期: 2025-09-05

  录用日期: 2025-12-06

  网络出版日期: 2026-01-05

基金资助

内蒙古自治区上海交通大学“科技兴蒙”科技合作专项(2022XYJG0001-03-06)

Clinical practice and challenges of model-informed precision dosing with vancomycin in pediatrics

  • YAO Yunlu ,
  • XU Haixin ,
  • LIU Xinzhu ,
  • CHEN Jihui ,
  • BU Shuhong
Expand
  • Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China

Received date: 2025-09-05

  Accepted date: 2025-12-06

  Online published: 2026-01-05

摘要

万古霉素是治疗革兰阳性菌感染,尤其是耐甲氧西林金黄色葡萄球菌感染的关键糖肽类抗生素。然而,儿科患者显著的药代动力学异质性导致传统给药方案较难平衡儿童患者的疗效与肾毒性风险。模型引导的精准用药(MIPD)策略通过整合定量药理学模型(如PPK、PBPK及机器学习模型)与患者个体数据,为实现基于24小时药时曲线下面积与最低抑菌浓度比值(AUC0-24h/MIC)的个体化治疗提供了新途径。MIPD策略相较于传统治疗药物监测(TDM),能显著提升药代动力学/药效学靶标的达标率,尤其在新生儿和重症患者中可缩短达标时间,同时有效降低肾毒性风险。本文综述了MIPD策略在新生儿、重症患儿及特殊疾病儿童中指导万古霉素应用的临床价值,以期为临床精准用药提供参考。

本文引用格式

姚昀璐 , 许海鑫 , 刘昕竹 , 陈霁晖 , 卜书红 . 儿科万古霉素模型引导精准用药的临床应用与挑战[J]. 临床儿科杂志, 2026 , 44(1) : 84 -90 . DOI: 10.12372/jcp.2026.25e1110

Abstract

Vancomycin is a key glycopeptide antibiotic for the treatment of Gram-positive bacterial infections, particularly those caused by methicillin-resistant Staphylococcus aureus (MRSA). However, significant pharmacokinetic (PK) heterogeneity in pediatric patients makes it difficult for traditional dosing regimens to balance efficacy and nephrotoxicity risk. Model-Informed precision dosing (MIPD) strategies provide a novel approach for individualized, AUC0-24h/MIC-guided therapy by integrating quantitative pharmacological models (such as PPK, PBPK, and machine learning models) with individual patient data. Compared to conventional TDM, MIPD strategies significantly enhance the attainment rate of pharmacokinetic/pharmacodynamic (PK/PD) target concentrations (e.g., AUC), shorten the time to target attainment, especially in neonates and critically ill patients, and effectively reduce the risk of nephrotoxicity. This review summarizes the clinical value of MIPD-guided vancomycin application in neonates, critically ill children, and children with special disease conditions, intending to provide a reference for clinical practice.

参考文献

[1] 何娜, 苏珊, 叶志康, 等. 万古霉素治疗药物监测循证指南:中国药理学会治疗药物监测研究专业委员会2020年更新版[J]. 临床感染病杂志, 2020, 71(增刊4): S363-S371.
  He N, Su S, Ye ZK, et al. Evidence-based guideline for therapeutic drug monitoring of vancomycin: 2020 update by the Division of Therapeutic Drug Monitoring, Chinese Pharmacological Society[J]. Linchuang Ganranbing Zazhi, 2020, 71(Suppl 4): S363-S371.
[2] Rybak MJ, Le J, Lodise TP, et al. Therapeutic monitoring of vancomycin for serious methicillin-resistant staphy- lococcus aureus infections: a revised consensus guideline and review by the American Society of Health-system Pharmacists, the Infectious Diseases Society of America, the Pediatric Infectious Diseases Society, and the Society of Infectious Diseases Pharmacists[J]. Clin Infect Dis, 2020, 77(11): 835-864.
[3] Darwich AS, Polasek TM, Aronson JK, et al. Model-informed precision dosing: background, requirements, validation, implementation, and forward trajectory[J]. Annu Rev Pharmacol Toxicol, 2021, 61: 225-245.
[4] 焦正, 李新刚, 尚德为, 等. 模型引导的精准用药:中国专家共识(2021版)[J]. 中国临床药理学与治疗学, 2021, 26(11): 1215-1228.
  Jiao Z, Li XG, Shang DW, et al. Model-informed precision dosing: Chinese expert consensus (2021 edition)[J]. Zhongguo Linchuang Yaolixue Yu Zhiliaoxue, 2021, 26(11): 1215-1228.
[5] Kantasiripitak W, Van R, Gijsen M, et al. Software tools for model-informed precision dosing: how well do they satisfy the needs?[J]. Front Pharmacol, 2020, 11: 620.
[6] 刘雨安, 杨小文, 李乐之. 机器学习在疾病预测的应用研究进展[J]. 护理学报, 2021, 28(7): 30-34.
  Liu YA, Yang XW, Li LZ. Research progress on the application of machine learning in disease prediction[J]. Huli Xuebao, 2021, 28(7): 30-34.
[7] Anderson BJ, Holford NHG. Tips and traps analyzing pediatric PK data[J]. Paediatr Anaesth, 2011, 21: 222-237.
[8] Gonzalez D, Rao GG, Bailey SC, et al. Precision dosing: public health need, proposed framework, and anticipated impact[J]. Clin Transl Sci, 2017, 10(6): 443-454.
[9] Hughes DM, Goswami S, Keizer RJ, et al. Bayesian clinical decision support-guided versus clinician-guided vancomycin dosing in paediatric patients[J]. J Antimicrob Chemother, 2020, 75: 434-437.
[10] Lu H, Rosenbaum S. Developmental pharmacokinetics in pediatric populations[J]. J Pediatr Pharmacol Ther, 2014, 19: 262-276.
[11] Khaled A, Xian P, Amita P, et al. Preterm physiologically based pharmacokinetic model. Part II: Applications of the model to predict drug pharmacokinetics in the preterm population[J]. Clin Pharmacokinet, 2019, 59(4): 501-518.
[12] Roggeveen LF, Guo T, Driessen RH, et al. Right dose, right now: development of autokinetics for real time model informed precision antibiotic dosing decision support at the bedside of critically ill patients[J]. Front Pharmacol, 2020, 11: 646.
[13] Chung E, Sen J, Patel P, et al. Population pharmacokinetic models of vancomycin in paediatric patients: a systematic review[J]. Clin Pharmacokinet, 2021, 60(9): 985-1001.
[14] Aljutayli A, ElHaffaf I, Marsot A, et al. An update on population pharmacokinetic analyses of vancomycin, part II: in pediatric patients[J]. Clin Pharmacokinet, 2022, 61(1): 47-70.
[15] Chen J, Huang X, Yu L, et al. Vancomycin population pharmacokinetics analysis in Chinese paediatric patients with varying degrees of renal function and ages: development of new practical dosing recommendations[J]. J Antimicrob Chemother, 2023, 78(8): 2037-2051.
[16] Albanell M, Rodríguez M, Bastida C, et al. A review of vancomycin, gentamicin, and amikacin population pharmacokinetic models in neonates and infants[J]. Clin Pharmacokinet, 2025, 64(1): 1-25.
[17] Allegaert K, Flint R, Smits A. Pharmacokinetic modelling and Bayesian estimation-assisted decision tools to optimize vancomycin dosage in neonates: only one piece of the puzzle[J]. Expert Opin Drug Metab Toxicol, 2019, 13(12): 1141-1153.
[18] Frymoyer A, Stockmann C, Hersh AL, et al. Individualized empiric vancomycin dosing in neonates using a model-based approach[J]. J Pediatr Infect Dis Soc, 2018, 8: 97-104.
[19] Kalamees R, Soeorg H, Ilmoja ML, et al. Prospective validation of a model-informed precision dosing tool for vancomycin treatment in neonates[J]. Antimicrob Agents Chemother, 2024, 68(1): e01591-23.
[20] Schwenk HT, Frymoyer A, Brockmeyer JM, et al. Impact of model-informed precision dosing on achievement of vancomycin exposure targets in pediatric patients with cystic fibrosis[J]. Pharmacotherapy, 2023, 43(10): 1007-1014.
[21] Leroux S, Jacqz E, Biran V, et al. Clinical utility and safety of a model-based patient-tailored dose of vancomycin in neonates[J]. Antimicrob Agents Chemother, 2016, 60: 2039-2042.
[22] Hughes DM, Goswami S, Keizer RJ, et al. Bayesian clinical decision support-guided versus clinician-guided vancomycin dosing in attainment of targeted pharmacokinetic parameters in a paediatric population[J]. J Antimicrob Chemother, 2020, 75: 434-437.
[23] 王俊, 刘茂昌, 李思辉, 等. 模型引导的儿童万古霉素个体化用药程序的编制及临床应用[J]. 中国药学杂志, 2024, 59(14): 1347-1352.
  Wang J, Liu MC, Li SH, et al. Development and clinical application of a model-informed individualized dosing program for vancomycin in children[J]. Zhongguo Yaoxue Zazhi, 2024, 59(14): 1347-1352.
[24] Chai MG, Tu Q, Cotta MO, et al. Achievement of therapeutic antibiotic exposures using Bayesian dosing software in critically unwell children and adults with sepsis[J]. Intensive Care Med, 2024, 50(4): 539-547.
[25] Abouelkheir M, Almohaizeie A, Almutairi A, et al. Evaluation of vancomycin individualized model-based dosing approach in neonates[J]. Pediatr Neonatol, 2023, 64(4): 327-334.
[26] Frymoyer A, Guglielmo BJ, Hersh AL, et al. Desired vancomycin trough serum concentration for treating invasive methicillin-resistant staphylococcal infections[J]. Pediatr Infect Dis J, 2013, 32: 1077-1079.
[27] Stevens PE, Levin A. Evaluation and management of chronic kidney disease: synopsis of the kidney disease: improving global outcomes 2012 clinical practice guideline[J]. Kidney Int Suppl, 2013, 3: 1-150.
[28] Zhao W, Lopez E, Biran V, et al. Vancomycin continuous infusion in neonates: Dosing optimisation and therapeutic drug monitoring[J]. Arch Dis Child, 2013, 98: 449-453.
[29] Gijsen M, Vlasselaers D, Spriet I, et al. Pharmacokinetics of antibiotics in pediatric intensive care: fostering variability to attain precision medicine[J]. Antibiotics, 2021, 10(10): 1182.
[30] Kong D, Colin PJ, Eleveld DJ, et al. A pooled pharmaco- kinetic analysis for piperacillin/tazobactam across different patient populations: from premature infants to the elderly[J]. Clin Pharmacokinetics, 2024, 63(12): 1235-1252.
[31] Ngougni P, Vanneste D, Schouwenburg S, et al. Dose optimization of β-lactam antibiotics in children: from population pharmacokinetics to individualized therapy[J]. Ther Drug Monit, 2024, 44(3): 215-232.
[32] Dibbets AC, Koldeweiij C, Osinga EP, et al. Barriers and facilitators for bringing model informed precision dosing to the patient’s bedside: a systematic review[J]. Clin Pharmacol Ther, 2025, 117(3): 633645.
文章导航

/