发表的罗库的药理动力学/药理动力学模型的神经肌肉终点预测能力:一个观察性试验
Hugo Carvalho1, Michaël Verdonck2, Douglas J Eleveld3
1Department of Anesthesia and Perioperative Medicine, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Belgium; Department of Anesthesiology and Reanimation, AZ Sint Jan Brugge-Oostende, Belgium.
已发表的罗库的药理动力学/药理动力学模型无法准确预测手术内神经肌肉功能. 这些模型高估了四次训练 (TOF) 比率,表明需要在神经肌肉管理中提高预测准确度.
科学领域:
- 麻醉学 麻醉学
- 药理学 药理学是指药理学的学科.
- 临床监测 临床监测
背景情况:
- 神经肌肉监测对于外科手术期间的管理至关重要.
- 药理动力学 (PK) 和药理动力学 (PD) 建模可能会增强神经肌肉管理.
- 这项研究评估了用于预测神经肌肉阻塞的罗库PK/PD模型.
研究的目的:
- 评估已发表的罗库PK/PD模型的预测性能.
- 为了将模型预测与电肌图学四列列车 (TOF) 测量进行比较.
- 评估这些模型在实时的手术内设置中的准确性.
主要方法:
- 观察性试验包括74名接受全身麻醉的患者.
- 使用了持续的电动肌图 (EMG) 神经肌肉监测.
- 用PK/PD模拟的TOF比率与使用Varvel标准测量的EMG TOF比率进行了比较.
主要成果:
- 发表的罗库PK/PD模型通常高估了手术内TOF比率.
- 五个模型 (Wierda,Szenohradszky,Cooper,Alvarez-Gomez,McCoy) 的绝对误差中位数为38-41%.这些模型中的平均误差为38-41%.
- 克莱恩模型表现出更好的性能 (16%的误差),但所有模型都有广泛的置信区间,表明了可变的准确性.
结论:
- 目前公布的罗库PK/PD模型无法准确预测手术内TOF比率的动态.
- 这些模型的高估凸显了它们在精确神经肌肉管理中的临床适用性方面的局限性.
- 需要对PK/PD模型进行进一步的改进,以改善神经肌肉阻断逆转的预测.
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