Statistical analysis of one-compartment pharmacokinetic models with drug adherence

药代动力学 舱室(船) 药品 药理学 统计分析 医学 计算机科学 数学 统计 地质学 海洋学
作者
Dingding Yan,Xiaotian Wu,Sanyi Tang
出处
期刊:Journal of Pharmacokinetics and Pharmacodynamics [Springer Science+Business Media]
卷期号:49 (2): 209-225 被引量:4
标识
DOI:10.1007/s10928-021-09794-5
摘要

Pharmacokinetics is a scientific branch of pharmacology that describes the time course of drug concentration within a living organism and helps the scientific decision-making of potential drug candidates. However, the classical pharmacokinetic models with the eliminations of zero-order, first-order and saturated Michaelis-Menten processes, assume that patients perfectly follow drug regimens during drug treatment, and the significant factor of patients' drug adherence is not taken into account. In this study, therefore, considering the random change of dosage at the fixed dosing time interval, we reformulate the classical deterministic one-compartment pharmacokinetic models to the framework of stochastic, and analyze their qualitative properties including the expectation and variance of the drug concentration, existence of limit drug distribution, and the stochastic properties such as transience and recurrence. In addition, we carry out sensitivity analysis of drug adherence-related parameters to the key values like expectation and variance, especially for the impact on the lowest and highest steady state drug concentrations (i.e. the therapeutic window). Our findings can provide an important theoretical guidance for the variability of drug concentration and help the optimal design of medication regimens. Moreover, The developed models in this paper can support for the potential study of the impact of drug adherence on long-term treatment for chronic diseases like HIV, by integrating disease models and the stochastic PK models.
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
量子星尘发布了新的文献求助10
1秒前
小马甲应助逃跑快人一步采纳,获得10
1秒前
hky发布了新的文献求助10
1秒前
JamesPei应助memedaaaah采纳,获得10
1秒前
1秒前
1秒前
自由绿蓉发布了新的文献求助10
1秒前
马轩发布了新的文献求助10
1秒前
1秒前
爆米花应助俞藏今采纳,获得10
2秒前
HuangXintong发布了新的文献求助10
2秒前
2秒前
2秒前
ChiariRay完成签到,获得积分10
3秒前
3秒前
乘风破浪发布了新的文献求助10
3秒前
4秒前
kelly发布了新的文献求助10
4秒前
5秒前
一鸣大人完成签到,获得积分10
5秒前
爆米花应助111采纳,获得30
5秒前
852应助幼汁汁鬼鬼采纳,获得10
6秒前
6秒前
泡泡糖发布了新的文献求助10
6秒前
桐桐应助啊哈哈哈哈采纳,获得10
7秒前
7秒前
卡列宁的微笑完成签到,获得积分10
7秒前
7秒前
博士伦666完成签到 ,获得积分10
8秒前
8秒前
8秒前
冷酷的小之完成签到,获得积分10
9秒前
CodeCraft应助毛毛采纳,获得10
9秒前
ztayx完成签到 ,获得积分10
9秒前
Wshtiiiii发布了新的文献求助10
9秒前
10秒前
TomatoPan完成签到,获得积分10
10秒前
Singularity应助yyl采纳,获得10
10秒前
tanglu完成签到,获得积分10
10秒前
gjm发布了新的文献求助10
10秒前
高分求助中
Picture Books with Same-sex Parented Families: Unintentional Censorship 700
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Effective Learning and Mental Wellbeing 300
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 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3974712
求助须知:如何正确求助?哪些是违规求助? 3519159
关于积分的说明 11197254
捐赠科研通 3255257
什么是DOI,文献DOI怎么找? 1797724
邀请新用户注册赠送积分活动 877130
科研通“疑难数据库(出版商)”最低求助积分说明 806132