Shenoy Prathvi, Rao Mahadev, Chokkadi Shreesha, Bhatnagar Sushma, Salins Naveen
Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Indian J Anaesth. 2024 Jan;68(1):111-117. doi: 10.4103/ija.ija_1036_23. Epub 2024 Jan 18.
The two-compartment model is generally used in pharmacokinetics to illustrate the distribution and excretion of drugs. In this study, we evaluated the distribution patterns of morphine and fentanyl by using a two-compartment model.
Using numeric analysis techniques, non-linear ordinary differential equations were used to mathematically analyse drug distribution, transition, and concentration in the body compartments. Math Works, Inc., MATLAB, version 2023a, a programming tool, was used to characterise the impact of initial concentration and rate constants on the kinetics of the drug. For a definite therapeutic concentration of morphine and fentanyl in blood, pharmacokinetic characteristics were plotted.
The study results showed the time taken by morphine and fentanyl to reach a target concentration in the blood that is sufficient to generate the preferred therapeutic effects. The mathematical models comparing morphine and fentanyl pharmacokinetics showed that fentanyl reached the target therapeutic concentration 125 minutes earlier than morphine and was metabolised and removed from the body more rapidly (44 minutes earlier than morphine).
These comparative mathematical models on morphine and fentanyl enable the determination of drug dosages and understanding of drug efficacy that facilitates optimising dosing regimens. The right choice between them can be made based on the time to reach the target therapeutic concentration in the blood, elimination time, severity of pain, and patient characteristics.
药代动力学中通常使用二室模型来说明药物的分布和排泄情况。在本研究中,我们使用二室模型评估了吗啡和芬太尼的分布模式。
采用数值分析技术,运用非线性常微分方程对药物在体内各房室的分布、转运和浓度进行数学分析。使用Math Works公司的MATLAB 2023a编程工具来描述初始浓度和速率常数对药物动力学的影响。针对血液中吗啡和芬太尼的特定治疗浓度,绘制了药代动力学特征曲线。
研究结果显示了吗啡和芬太尼达到足以产生预期治疗效果的血液目标浓度所需的时间。比较吗啡和芬太尼药代动力学的数学模型表明,芬太尼比吗啡提前125分钟达到目标治疗浓度,并且代谢和从体内清除的速度更快(比吗啡提前44分钟)。
这些关于吗啡和芬太尼的比较数学模型能够确定药物剂量并理解药物疗效,有助于优化给药方案。可以根据达到血液目标治疗浓度的时间、消除时间、疼痛严重程度和患者特征在它们之间做出正确选择。