Masuda Koji, Ikeda Kenji, Endo Aiju, Ishikawa Takahiro, Matsumoto Tetsuya
International University of Health and Welfare Narita Hospital, Department of Infection Control and Prevention, 852, Hatakeda, Narita, Chiba, 286-8520, Japan.
Osaka University, Clinical Pharmacy Research and Education Unit, Graduate School of Pharmaceutical Sciences, 1-6, Yamadaoka, Suita, Osaka, 565-0871, Japan.
J Infect Chemother. 2025 Mar;31(3):102580. doi: 10.1016/j.jiac.2024.12.009. Epub 2024 Dec 11.
Vancomycin (VAN) is one of therapeutic agents for severe infections, and its efficacy and safety are subject to therapeutic drug monitoring. However, there is a lack of data regarding the administration of VAN to low birth weight (LBW) infants. This presents a challenge to ensure optimal dosing and maximize the benefits of VAN therapy in this specialized patients.
VAN serum samples were collected through opportunistic sampling for clinical use. Population Pharmacokinetics (PopPK) analysis was conducted with a one-compartment model in a nonlinear mixed-effects model using Phoenix NLME (Certara ver.8.4). We compared the final model with the 12 previously reported PopPK models.
A total of 106 samples from 25 patients were obtained to establish the PopPK model for LBW infants. We successfully developed one-compartment PopPK model using Phoenix NLME based on Japanese LBW infants receiving VAN with body weights of less than 2500 g. The covariates in our PopPK model are postmenstrual age, body weight, and serum creatinine for clearance and postnatal age for volume of distribution. A comparison of the goodness-of-fit metrics indicated that our PopPK model achieved better prediction accuracy for VAN blood concentrations, as indicated by the lower values of these metrics.
We successfully established a PopPK model incorporating PNA and PMA as new covariates. By addressing the issue of data scarcity in LBW infants, our study provides insights and strategies to manage VAN therapy in LBW infants, thus optimizing its effectiveness and safety.
万古霉素(VAN)是治疗严重感染的药物之一,其疗效和安全性需进行治疗药物监测。然而,关于对低出生体重(LBW)婴儿使用万古霉素的数据匮乏。这给确保在这类特殊患者中实现最佳给药剂量并最大化万古霉素治疗效益带来了挑战。
通过机会性抽样收集用于临床的万古霉素血清样本。使用Phoenix NLME(Certara ver.8.4)在非线性混合效应模型中采用单室模型进行群体药代动力学(PopPK)分析。我们将最终模型与之前报道的12个PopPK模型进行了比较。
共获取了来自25名患者的106个样本,以建立低出生体重婴儿的PopPK模型。我们基于体重小于2500g且接受万古霉素治疗的日本低出生体重婴儿,成功使用Phoenix NLME开发了单室PopPK模型。我们的PopPK模型中的协变量包括矫正胎龄、体重、用于清除率的血清肌酐以及用于分布容积的出生后年龄。拟合优度指标的比较表明,我们的PopPK模型对万古霉素血药浓度的预测准确性更高,这些指标的值更低即表明了这一点。
我们成功建立了一个将矫正胎龄和胎龄作为新协变量纳入的PopPK模型。通过解决低出生体重婴儿数据稀缺的问题,我们的研究为管理低出生体重婴儿的万古霉素治疗提供了见解和策略,从而优化其有效性和安全性。