One-compartment stochastic pharmacokinetic model

Q2 Multidisciplinary
J. A. Jiménez-Moscoso
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引用次数: 0

Abstract

In this work, we consider a pharmacokinetic (PK) model with first-order drug absorption and first-order elimination that represent the concentration of drugs in the body, including both the absorption and elimination parts, and we also add a random factor to describe the variability between patients and the environment. Using Itô’s lemma and the Laplace transform, we obtain the solutions in integral form for a single and constant dosage regimen in time. Moreover, formulas for the expected value and the variance for each case of study are presented, which allows the statistical assessment of the proposed models, as well as predicting the ideal path of drug concentration and its uncertainty. These results are important in the long-term analysis of drug concentration and the persistence of therapeutic level. Further, a numerical method for the solution of the stochastic differential equation (SDE) is introducedand developed.
单室随机药代动力学模型
在这项工作中,我们考虑了一个具有一阶药物吸收和一阶消除的药代动力学(PK)模型,该模型代表了体内药物的浓度,包括吸收和消除部分,我们还添加了一个随机因素来描述患者和环境之间的可变性。利用Itô引理和拉普拉斯变换,我们在时间上获得了单一和恒定剂量方案的积分形式的解。此外,还提出了每个研究案例的期望值和方差公式,这使得能够对所提出的模型进行统计评估,并预测药物浓度的理想路径及其不确定性。这些结果对药物浓度的长期分析和治疗水平的持续性具有重要意义。此外,引入并发展了一种求解随机微分方程(SDE)的数值方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Universitas Scientiarum
Universitas Scientiarum Multidisciplinary-Multidisciplinary
CiteScore
1.20
自引率
0.00%
发文量
9
审稿时长
15 weeks
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