Suppr超能文献

目标控制输注期间血浆和脑组织中预测与实际丙泊酚和瑞芬太尼浓度的比较:一项前瞻性观察研究。

Comparison of predicted and real propofol and remifentanil concentrations in plasma and brain tissue during target-controlled infusion: a prospective observational study.

机构信息

Department of Anaesthesiology, University Hospitals Leuven, KU Leuven, 3000, Leuven, Belgium.

Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry, Maastricht University, Maastricht, The Netherlands.

出版信息

Anaesthesia. 2020 Dec;75(12):1626-1634. doi: 10.1111/anae.15125. Epub 2020 Jun 7.

Abstract

Target-controlled infusion systems are increasingly used to administer intravenous anaesthetic drugs to achieve a user-specified plasma or effect-site target concentration. While several studies have investigated the ability of the underlying pharmacokinetic-dynamic models to predict plasma concentrations, there are no data on their performance in predicting drug concentrations in the human brain. We assessed the predictive performance of the Marsh propofol model and Minto remifentanil model for plasma and brain tissue concentrations. Plasma samples were obtained during neurosurgery from 38 patients, and brain tissue samples from nine patients. Propofol and remifentanil concentrations were measured using gas chromatography mass spectrometry and liquid chromatography tandem mass spectrometry. Data were analysed from the nine patients in whom both plasma and brain samples were simultaneously obtained. For the Minto model (five patients), the median performance error was 72% for plasma and -14% for brain tissue concentration predictions. The model tended to underestimate plasma remifentanil concentrations, and to overestimate brain tissue remifentanil concentrations. For the Marsh model (five patients), the median prediction errors for plasma and brain tissue concentrations were 12% and 81%, respectively. However, when the data from all blood propofol assays (36 patients) were analysed, the median prediction error was 11%, with overprediction in 15 (42%) patients and underprediction in 21 (58%). These findings confirm earlier reports demonstrating inaccuracy for commonly used pharmacokinetic-dynamic models for plasma concentrations and extend these findings to the prediction of effect-site concentrations.

摘要

靶控输注系统越来越多地被用于静脉麻醉药物的给药,以达到用户指定的血浆或效应部位目标浓度。虽然已经有几项研究调查了基础药代动力学-动力学模型预测血浆浓度的能力,但尚无关于其预测人脑内药物浓度的性能的数据。我们评估了 Marsh 异丙酚模型和 Minto 瑞芬太尼模型对血浆和脑组织浓度的预测性能。从 38 名接受神经外科手术的患者中获得血浆样本,从 9 名患者中获得脑组织样本。使用气相色谱质谱法和液相色谱串联质谱法测量了异丙酚和瑞芬太尼的浓度。对同时获得血浆和脑组织样本的 9 名患者的数据进行了分析。对于 Minto 模型(五名患者),血浆浓度预测的中位性能误差为 72%,脑组织浓度预测的中位性能误差为-14%。该模型倾向于低估血浆瑞芬太尼浓度,并高估脑组织瑞芬太尼浓度。对于 Marsh 模型(五名患者),血浆和脑组织浓度的中位预测误差分别为 12%和 81%。然而,当分析所有血液异丙酚测定值(36 名患者)的数据时,中位预测误差为 11%,15 名患者(42%)存在高估,21 名患者(58%)存在低估。这些发现证实了早期报告,表明常用的血浆浓度药代动力学-动力学模型存在准确性问题,并将这些发现扩展到预测效应部位浓度。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验