Suppr超能文献

七氟醚-瑞芬太尼相互作用:不同响应面模型的比较。

Sevoflurane remifentanil interaction: comparison of different response surface models.

机构信息

Department of Anesthesia, Ghent University Hospital, Gent, Belgium.

出版信息

Anesthesiology. 2012 Feb;116(2):311-23. doi: 10.1097/ALN.0b013e318242a2ec.

Abstract

BACKGROUND

Various pharmacodynamic response surface models have been developed to quantitatively describe the relationship between two or more drug concentrations with their combined clinical effect. We examined the interaction of remifentanil and sevoflurane on the probability of tolerance to shake and shout, tetanic stimulation, laryngeal mask airway insertion, and laryngoscopy in patients to compare the performance of five different response surface models.

METHODS

Forty patients preoperatively received different combined concentrations of remifentanil (0-12 ng/ml) and sevoflurane (0.5-3.5 vol.%) according to a criss-cross design (160 concentration pairs, four per patient). After having reached pseudosteady state, the response to shake and shout, tetanic stimulation, laryngeal mask airway insertion, and laryngoscopy was recorded. For the analysis of the probability of tolerance, five different interaction models were tested: Greco, Reduced Greco, Minto, Scaled C50(O) Hierarchical, and Fixed C50(O) Hierarchical model. All calculations were performed with NONMEM VI (Icon Development Solutions, Ellicott City, MD).

RESULTS

The pharmacodynamic interaction between sevoflurane and remifentanil was strongly synergistic for both the hypnotic and the analgesic components of anesthesia. The Greco model did not result in plausible parameter estimates. The Fixed C50(O) Hierarchical model performed slightly better than the Scaled C50(O) Hierarchical and Reduced Greco models, whereas the Minto model fitted less well.

CONCLUSION

We showed the importance of exploring various surface model approaches when studying drug interactions. The Fixed C50(O) Hierarchical model fits our data on sevoflurane remifentanil interaction best and appears to be an appropriate model for use in hypnotic-opioid drug interaction.

摘要

背景

已经开发了各种药效学响应面模型,以定量描述两个或更多药物浓度与其联合临床效果之间的关系。我们检查了瑞芬太尼和七氟醚对摇头和喊叫、强直刺激、喉罩插入和喉镜检查的耐受性概率的相互作用,以比较五种不同响应面模型的性能。

方法

40 名患者根据交叉设计(每个患者 160 个浓度对,4 个)接受术前不同浓度的瑞芬太尼(0-12ng/ml)和七氟醚(0.5-3.5vol.%)组合。达到拟稳态后,记录对摇头和喊叫、强直刺激、喉罩插入和喉镜检查的反应。为了分析耐受性概率,测试了五种不同的相互作用模型:Greco、简化 Greco、Minto、比例 C50(O)分层和固定 C50(O)分层模型。所有计算均使用 NONMEM VI(Icon Development Solutions,马里兰州埃利科特市)进行。

结果

七氟醚和瑞芬太尼之间的药效学相互作用对麻醉的催眠和镇痛成分均具有强烈的协同作用。Greco 模型未产生合理的参数估计。固定 C50(O)分层模型的性能略优于比例 C50(O)分层和简化 Greco 模型,而 Minto 模型的拟合效果较差。

结论

我们表明,在研究药物相互作用时,探索各种曲面模型方法非常重要。固定 C50(O)分层模型最适合我们的七氟醚瑞芬太尼相互作用数据,似乎是用于催眠-阿片类药物相互作用的合适模型。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验