A Physiologically Based Pharmacokinetic Model of Ertapenem in Pediatric Patients With Renal Impairment

厄他培南 基于生理学的药代动力学模型 药代动力学 医学 加药 人口 药理学 泌尿科 美罗培南 内科学 抗生素 化学 生物化学 抗生素耐药性 环境卫生
作者
Lingling Ye,Meng Ke,Xiang You,Pinfang Huang,Cuihong Lin
出处
期刊:Journal of Pharmaceutical Sciences [Elsevier]
卷期号:109 (9): 2909-2918 被引量:18
标识
DOI:10.1016/j.xphs.2020.06.010
摘要

Ertapenem is a widely used antibiotic; however, its pharmacokinetics has not been fully evaluated in children with renal impairment. A physiologically based pharmacokinetic (PBPK) model of ertapenem was established and validated to simulate its disposition in the healthy population and adults with renal impairment, as well as to predict the exposure in pediatric patients with renal impairment. The simulated PBPK modeling results and the observed data of ertapenem after intravenous administration of various regimens were consistent according to the fold error values of less than 2. Furthermore, %T > MIC of ertapenem was evaluated using the PBPK model. The Cmax was not significantly changed in pediatric patients with renal impairment compared to healthy children. However, the AUC was 1.42-fold, 1.84-fold, 2.37-fold, and 3.52-fold higher in mild, moderate, severe renal impairment, and end-stage renal disease, respectively, than that in healthy children and the doses of ertapenem were reduced to 13 mg/kg b.i.d, 9 mg/kg b.i.d, 6 mg/kg b.i.d, and 5 mg/kg b.i.d, respectively. The probability of achieving 40%T > MIC (MIC ≤ 4 μg/mL) was nearly 100% throughout the recommended dosing interval. In conclusion, our model can be used as a tool to generate better predictions for the most effective ertapenem dosing in pediatric patients.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
斯文败类应助小补给卡采纳,获得10
刚刚
orixero应助完美清炎采纳,获得30
1秒前
情怀应助ln采纳,获得10
1秒前
Hou完成签到,获得积分10
2秒前
3秒前
王灰灰1发布了新的文献求助10
4秒前
情怀应助cccc采纳,获得10
4秒前
5秒前
longh完成签到,获得积分10
5秒前
zzsr发布了新的文献求助10
6秒前
Dr.CTH完成签到,获得积分10
8秒前
阿托品发布了新的文献求助10
8秒前
9秒前
10秒前
10秒前
洁净大树完成签到,获得积分10
12秒前
13秒前
欢呼彩虹完成签到,获得积分20
13秒前
Crystal发布了新的文献求助10
13秒前
13秒前
14秒前
ever完成签到,获得积分10
15秒前
orixero应助sunny采纳,获得10
15秒前
16秒前
自觉鸵鸟发布了新的文献求助10
16秒前
16秒前
16秒前
JamesPei应助太阳当空照采纳,获得10
16秒前
大模型应助阿宋采纳,获得10
16秒前
小蘑菇应助哈哈哈采纳,获得10
16秒前
欢呼彩虹发布了新的文献求助10
18秒前
张千鸿完成签到,获得积分10
18秒前
cccc发布了新的文献求助10
19秒前
6666发布了新的文献求助10
19秒前
Crystal完成签到,获得积分10
19秒前
19秒前
Zhangll发布了新的文献求助10
20秒前
log完成签到,获得积分10
20秒前
王灰灰1完成签到,获得积分10
20秒前
妤懿完成签到 ,获得积分10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1001
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Washback Research in Language Assessment:Fundamentals and Contexts 400
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5469432
求助须知:如何正确求助?哪些是违规求助? 4572532
关于积分的说明 14336014
捐赠科研通 4499397
什么是DOI,文献DOI怎么找? 2465032
邀请新用户注册赠送积分活动 1453564
关于科研通互助平台的介绍 1428091