The future of target-controlled infusion and new pharmacokinetic models.

IF 2.1
Current opinion in anaesthesiology Pub Date : 2025-08-01 Epub Date: 2025-05-26 DOI:10.1097/ACO.0000000000001529
Anthony R Absalom, Thomas W Schnider
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引用次数: 0

Abstract

Purpose of review: To summarize recent developments in the understanding of the pharmacology of the hypnotic and opioid drugs, with relevance to target-controlled infusions and newer pharmacokinetic models.

Recent findings: General-purpose models have been developed for propofol, remifentanil, and dexmedetomidine, suitable for use in a wide variety of patients, but still not universally applicable. A validation study of the predictive performance of the Eleveld propofol model showed reasonable performance in children, healthy adults, and obese adults but poorer performance in elderly patients. Observational studies show that complications during total intravenous anesthesia often arise from omission of basic safety checks and inadequate knowledge, rather than model misspecification. Specifically, there is a lack of understanding of the influence of the clinical situation on the pharmacodynamics of hypnotic drugs. Artificial intelligence is likely to produce useful drug infusion rate advisory systems, or even closed-loop control systems that could potentially provide better patient-individualized titration of anesthetic drugs.

Summary: Further efforts to develop new models are unlikely to be clinically beneficial. Efforts should rather be made to ensure better education and a better appreciation of variability in pharmacodynamics and the need for better ways of tailoring drug doses to individual patient needs.

靶控输注的未来和新的药代动力学模型。
综述目的:综述催眠药物和阿片类药物药理学的最新进展,包括靶标控制输注和新的药代动力学模型。最近的发现:通用模型已经发展为异丙酚,瑞芬太尼和右美托咪定,适用于各种各样的患者,但仍然不是普遍适用。一项关于Eleveld异丙酚模型预测性能的验证研究显示,该模型在儿童、健康成人和肥胖成人中表现合理,但在老年患者中的表现较差。观察性研究表明,全静脉麻醉期间的并发症通常是由于缺乏基本的安全检查和知识不足,而不是模型规格错误。具体而言,对临床情况对催眠药物药效学的影响缺乏了解。人工智能可能会产生有用的药物输注速率咨询系统,甚至可能提供更好的麻醉药物个性化滴定的闭环控制系统。总结:进一步开发新模型的努力不太可能在临床上有益。相反,应该努力确保更好的教育和更好地了解药效学的可变性,以及需要更好地根据患者的个别需要调整药物剂量。
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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