Physiologically Based Pharmacokinetic Modelling of Glycopyrronium in Patients With Renal Impairment

被引:5
作者
Higashimori, Mitsuo [1 ]
Ishikawa, Kensuke [1 ]
Gillen, Michael [2 ]
Zhou, Diansong [3 ]
机构
[1] AstraZeneca, Sci & Data Analyt Div, Res & Dev, Kita Ku, KK 3-1,Ofuka Cho, Osaka 5300011, Japan
[2] AstraZeneca LP, Clin Pharmacol & Safety Sci, Res & Dev, 1 MedImmune Way, Gaithersburg, MD 20878 USA
[3] AstraZeneca Pharmaceut LP, Clin Pharmacol & Safety Sci, Res & Dev, 35 Gatehouse Dr, Waltham, MA 02451 USA
关键词
Physiologically based pharmacokinetic (PBPK) modeling; SimCyp PBPK modeling; Special populations; Renal clearance; Inhalation; METERED-DOSE INHALER; DELIVERY TECHNOLOGY; EFFICACY; KIDNEY; SAFETY;
D O I
10.1016/j.xphs.2020.03.014
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Glycopyrronium bromide, a synthetic anticholinergic agent used to treat patients with chronic obstructive pulmonary disease (COPD), is eliminated from the body by renal excretion and therefore systemic exposure is expected to be increased in patients with decreasing renal function. Despite enrollment of patients with decreasing renal function to evaluate the impact of renal impairment on the pharmacokinetics of glycopyrronium in clinical studies, no patients with severe renal impairment were included. A physiologically based pharmacokinetic (PBPK) model was developed in patients with COPD with normal renal function and used to predict systemic exposure of glycopyrronium in patients with severe renal impairment. The model accurately predicted plasma concentration-time profiles in patients with normal renal function, and mild and moderate renal impairment; the predicted and observed AUC and C-max in these populations were similar. Compared to patients with normal renal function, a 1.20-, 1.45-, and 1.59-fold increase AUC was predicted in patients with mild, moderate, and severe renal impairment, respectively, suggesting dose adjustment is not necessary in patients with renal impairment. In conclusion, PBPK models, verified with clinical study data from patients with normal renal function, can potentially be used to predict the pharmacokinetics and recommended dose adjustment for patients with renal impairment. (C) 2020 American Pharmacists Association (R). Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:438 / 445
页数:8
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