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基于生理的药代动力学模型在描述衰老和肾功能损害对头孢他啶清除率影响中的应用。

Application of Physiologically Based Pharmacokinetic Model to Delineate the Impact of Aging and Renal Impairment on Ceftazidime Clearance.

作者信息

Abduljalil Khaled, Gardner Iain, Jamei Masoud

机构信息

Certara Predictive Technologies Division, Certara UK, Level 2-Acero, 1 Concourse Way, Sheffield S1 2BJ, UK.

出版信息

Antibiotics (Basel). 2024 Sep 9;13(9):862. doi: 10.3390/antibiotics13090862.

Abstract

The impact of physiological changes during aging on drug disposition has not always been thoroughly assessed in clinical studies. This has left an open question such as how and to what extent patho- and physiological changes in renal function can affect pharmacokinetics in the geriatric population. The objective of this work was to use a physiologically based pharmacokinetic (PBPK) model to quantify the impact of aging and renal impairment (RI) separately and together on ceftazidime pharmacokinetics (PK). The predicted plasma concentrations and PK parameters from the PBPK model were compared to the observed data in individuals of different ages with or without RI (16 independent studies were investigated in this analysis). Apart from clearance in one study, the predicted ceftazidime PK parameters of young adults, elderly, and in individuals with different levels of renal function were within 2-fold of the observed data, and the observed concentrations fell within the 5th-95th prediction interval from the PBPK model simulations. The PBPK model predicted a 1.2-, 1.5-, and 1.8-fold increase in the plasma exposure (AUC) ratio in individuals aged 40, 60, and 70 years old, respectively, with normal renal function for their age compared to 20-year-old individuals with normal renal function. The impact of RI on ceftazidime was predicted to be less marked in older individuals (a 1.04-, 1.43-, and 2.55-fold change in mild, moderate, or severe RI compared to a healthy age-matched control) than in younger individuals (where a 1.47-, 2.03-, and 3.50-fold increase was predicted in mild, moderate, or severe RI compared to a healthy age-matched control). Utilization of the applied population-based PBPK approach allows delineation of the effects of age from renal disease and can better inform future study design and dosing recommendations in clinical study of elderly patients depending on their age and renal function.

摘要

衰老过程中的生理变化对药物处置的影响在临床研究中并不总是得到充分评估。这就留下了一个悬而未决的问题,比如肾功能的病理和生理变化如何以及在多大程度上会影响老年人群的药代动力学。这项工作的目的是使用基于生理的药代动力学(PBPK)模型,分别和共同量化衰老和肾功能损害(RI)对头孢他啶药代动力学(PK)的影响。将PBPK模型预测的血浆浓度和PK参数与不同年龄有或无RI个体的观察数据进行比较(本分析共调查了16项独立研究)。除了一项研究中的清除率外,年轻成年人、老年人以及不同肾功能水平个体的头孢他啶PK参数预测值在观察数据的2倍以内,且观察到的浓度落在PBPK模型模拟的第5至第95百分位预测区间内。PBPK模型预测,与肾功能正常的20岁个体相比,40岁、60岁和70岁肾功能正常个体的血浆暴露(AUC)比值分别增加1.2倍、1.5倍和1.8倍。预计RI对头孢他啶的影响在老年个体中不如在年轻个体中明显(轻度、中度或重度RI与健康年龄匹配对照相比,变化倍数分别为1.04倍、1.43倍和2.55倍,而年轻个体中,轻度、中度或重度RI与健康年龄匹配对照相比,预计分别增加1.47倍、2.03倍和3.50倍)。应用基于人群的PBPK方法能够区分年龄和肾脏疾病的影响,并且可以根据老年患者的年龄和肾功能,为未来临床研究的设计和给药建议提供更好的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/544a/11429240/fb6d2913612b/antibiotics-13-00862-g001.jpg

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