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儿科患者中庆大霉素的群体药代动力学模型建立。

Population Pharmacokinetic Modeling of Gentamicin in Pediatrics.

机构信息

Center for Translational Medicine, School of Pharmacy, University of Maryland, Baltimore, MD, USA.

Boonshoft School of Medicine, Wright State University, Dayton, OH, USA.

出版信息

J Clin Pharmacol. 2019 Dec;59(12):1584-1596. doi: 10.1002/jcph.1479. Epub 2019 Jul 8.

DOI:10.1002/jcph.1479
PMID:31286535
Abstract

The primary objective of this work was to characterize the pharmacokinetics (PK) of gentamicin across the whole pediatric age spectrum from premature neonates to young adults with a single model by identifying significant clinical predictors. A nonlinear mixed-effect population PK model was developed with retrospective therapeutic drug-monitoring data. A total of 6459 drug concentration measurements from 3370 hospitalized patients were collected for model building (n = 2357) and evaluation (n = 1013). In agreement with previously reported models, a 2-compartment model with first-order elimination best described the drug PK. Patient-specific factors significantly impacting gentamicin clearance included fat-free mass, postmenstrual age, and serum creatinine (SCr). Based on our model, the deviation of the individual SCr from the age-dependent expected mean SCr value (SCrM) can result in a 40% lower clearance in a patient with renal impairment than that in a patient with normal kidney function, with SCrM:SCr ratios between 0.16 and 3.2 in this study. Consistent with the known age-dependent changes of the proportion of extracellular water in body weight, the inclusion of the impact of extracellular water maturation on the central volume of distribution was found to improve the model fitting significantly. In comparison with other published models, model evaluation suggested the developed model was the least biased and physiologically most representative. These results will be used to inform individualized initial dosing strategies and serve as a prior PK model for Bayesian updating and forecasting as individual clinical observations become available.

摘要

本研究旨在通过确定重要的临床预测因素,用单一模型来描述整个儿科年龄范围(从早产儿到年轻成人)的庆大霉素药代动力学(PK)。通过回顾性治疗药物监测数据,建立了一个非线性混合效应群体 PK 模型。共收集了 3370 名住院患者的 6459 次药物浓度测量值,用于模型构建(n=2357)和评估(n=1013)。与先前报道的模型一致,该药物 PK 最好由 2 室模型和一级消除来描述。影响庆大霉素清除率的患者特异性因素包括去脂体重、月经后年龄和血清肌酐(SCr)。根据我们的模型,个体 SCr 与年龄相关的预期平均 SCr 值(SCrM)的偏差可导致肾功能受损患者的清除率比肾功能正常患者低 40%,在本研究中,SCrM:SCr 比值在 0.16 到 3.2 之间。与已知的体重中外细胞外液比例随年龄变化一致,纳入细胞外液成熟对中央分布容积的影响可显著改善模型拟合。与其他已发表的模型相比,模型评估表明,所开发的模型是最无偏倚和最具生理代表性的。这些结果将用于为个体化初始给药策略提供信息,并作为个体临床观察可用时的贝叶斯更新和预测的先验 PK 模型。

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