Building vancomycin population pharmacokinetic model for Japanese low birth weight infants in comparing it with previously reported pediatric population pharmacokinetic models.

IF 1.9 4区 医学 Q3 INFECTIOUS DISEASES Journal of Infection and Chemotherapy Pub Date : 2024-12-11 DOI:10.1016/j.jiac.2024.12.009
K O J I Masuda, K E N J I Ikeda, A I J U Endo, T A K A H I R O Ishikawa, T E T S U Y A Matsumoto
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Abstract

Background and objectives: 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.

Materials and methods: 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.

Results: 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 2,500 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.

Conclusion: 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.

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背景和目的:万古霉素(VAN)是治疗严重感染的药物之一,其疗效和安全性受到治疗药物监测的制约。然而,目前缺乏有关低出生体重儿(LBW)使用万古霉素的数据。这给确保最佳剂量和最大限度地发挥 VAN 治疗对这类特殊患者的益处带来了挑战:材料与方法:通过临床使用的机会性采样收集 VAN 血清样本。使用 Phoenix NLME(Certara ver.8.4)的非线性混合效应模型中的单室模型进行了群体药代动力学(PopPK)分析。我们将最终模型与之前报告的 12 个 PopPK 模型进行了比较:结果:我们共获得了 25 名患者的 106 份样本,从而建立了枸杞体重儿的 PopPK 模型。我们成功地利用 Phoenix NLME 建立了单室 PopPK 模型,该模型以接受 VAN 且体重小于 2,500 g 的日本低体重儿为基础。拟合优度指标的比较表明,我们的 PopPK 模型对 VAN 血液浓度的预测准确度更高,这些指标值较低:我们成功建立了一个将 PNA 和 PMA 作为新协变量的 PopPK 模型。通过解决畸形婴儿数据稀缺的问题,我们的研究为管理畸形婴儿的 VAN 治疗提供了见解和策略,从而优化了治疗的有效性和安全性。
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来源期刊
Journal of Infection and Chemotherapy
Journal of Infection and Chemotherapy INFECTIOUS DISEASES-PHARMACOLOGY & PHARMACY
CiteScore
4.10
自引率
4.50%
发文量
303
审稿时长
47 days
期刊介绍: The Journal of Infection and Chemotherapy (JIC) — official journal of the Japanese Society of Chemotherapy and The Japanese Association for Infectious Diseases — welcomes original papers, laboratory or clinical, as well as case reports, notes, committee reports, surveillance and guidelines from all parts of the world on all aspects of chemotherapy, covering the pathogenesis, diagnosis, treatment, and control of infection, including treatment with anticancer drugs. Experimental studies on animal models and pharmacokinetics, and reports on epidemiology and clinical trials are particularly welcome.
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