用分数和增强模型在肥胖患者中将药物保留作为记忆效应建模
Amani R Ynineb1, Erhan Yumuk2, Dana Copot3
1Department of Electromechanics, Systems and Metal Engineering, Research Group on Dynamical Systems and Control, Ghent University, Gent, 9052, Belgium. amani.ynineb@ugent.be.
Scientific reports
|July 19, 2025
概括
新的药理动力学模型通过考虑脂肪组织积累和记忆效应来改善肥胖患者的麻醉药物预测. 这些先进的模型在唤醒阶段提高了准确性,帮助个性化数字双胞胎系统.
科学领域:
- 药理动力学和药理动力学
- 麻醉和重症监护服务
- 医学中的数学建模.
背景情况:
- 脂性麻醉药在脂肪组织中积累,导致释放延迟和长时间的效果,特别是在肥胖的人群中.
- 经典的药物动力学模型可能无法完全捕捉脂肪组织中复杂的药物动态.
- 肥胖症在麻醉管理中存在独特的挑战,原因是药物分发和消除的改变.
研究的目的:
- 开发和评估脂友麻醉药物的新生理学动机的药理动力学 (PK) 模型.
- 将脂肪组织保留和记忆效应纳入PK建模.
- 改善对肥胖患者药物效应的预测,例如双光谱指数 (BIS).
主要方法:
- 提出了两个新的PK模型:一个带有陷区的增强模型和使用部分卡普托衍生物的分数顺序模型.
- 应用离散时间欧勒法来模拟药物释放和保留动态.
- 将PK模型集成到PK/PD框架中,并使用模拟和真实临床数据 (双谱指数) 进行评估.
主要成果:
- 增强模型和小数模型都表明,与经典模型相比,在肥胖患者的觉醒阶段,BIS预测误差减少.
- 增强模型降低了RMSE的22.5%,分数模型降低了21.4%.
- 灵敏度分析证实了分数顺序参数对BIS长期动态的影响.
结论:
- 记忆意识的药理动力学模型,包括增强和分数顺序的方法,可以显著改善肥胖患者麻醉药物效果的预测.
- 这些模型在开发先进的,针对患者的数字双胞胎系统,以改善医疗保健方面发挥着潜在的作用.
- 了解脂肪组织中药物保留和记忆效应对于优化麻醉管理至关重要.
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