评估由Eleveld药理动力学模型捕获的个体间变异性
Sara Hosseinirad1, Klaske van Heusden2, Guy A Dumont3
1Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada. sarahrad@ece.ubc.ca.
与较旧的模型相比,Eleveld的药理动力学模型没有提高麻醉控制的准确性. 这项研究发现,开环或闭环麻醉控制系统的预测性能没有显著差异.
科学领域:
- 麻醉学 麻醉学
- 药理动力学 药理动力学
- 药理动力学是什么 药理动力学
- 控制系统工程 控制系统工程
背景情况:
- 药理动力学 (PK) 和药理动力学 (PD) 模型的个体间变异性会影响麻醉控制的准确性.
- 准确的PK/PD模型对于目标控制输液和闭环麻醉系统至关重要.
研究的目的:
- 为了评估Eleveld PK模型是否比Schuttler和Schnider PK模型更好地捕捉麻醉控制的个体间变异性.
- 评估不同PK模型对PD模型可变性的影响,用于麻醉控制设计.
主要方法:
- 分析了来自老年人,肥胖者和成年人群的普罗波福尔输液率和催眠深度数据.
- 药理动力学 (PD) 模型是使用来自三种PK模型的血度预测来开发的:Eleveld,Schuttler和Schnider.
- 模型性能得到验证,并比较了步骤响应 (开放循环) 和PD模型集 (闭环) 的变化.
主要成果:
- 使用舒特勒和施奈德的PK模型验证的PK/PD模型与Eleveld的PK模型相比,在预测反应或不确定性上没有显著差异.
- 步骤反应的变化系数和PD模型集的不确定性在所有三个PK模型中都是可比的.
- 埃莱维尔德PK模型没有证明设计开环或闭环麻醉控制系统的优势.
结论:
- 在麻醉控制方面,Eleveld PK 模型与 Schuttler 或 Schnider PK 模型相比没有显著的优势.
- 目前的PK模型表现出类似的变化,表明与Eleveld模型对麻醉控制系统的预测准确度没有改善.
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