首页> 外文期刊>Journal of the Formosan Medical Association =: Taiwan yi zhi >Plasma concentration based response surface model predict better than effect-site concentration based model for wake-up time during gastrointestinal endoscopy sedation
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Plasma concentration based response surface model predict better than effect-site concentration based model for wake-up time during gastrointestinal endoscopy sedation

机译:基于血浆浓度的响应表面模型在胃肠道内窥镜镇静期间的唤醒时间预测优于基于效果部位浓度的模型

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BackgroundSedation for esophagogastroduodenoscopy (EGD) and colonoscopy is characterized by rapid patient induction and emergence. The drugs midazolam and alfentanil have long been used for procedural sedation; however, the relationship between plasma or effect-site concentrations (Cp or Ce, respectively) and emergence remains unclear. The aim of this study is to develop patient wake-up prediction models for both Cp and Ce using response surface modeling, a pharmacodynamics tool for assessing patients' responses.MethodsThe Observer's Alertness/Sedation (OAA/S) score was used to monitor sedation depth during the examinations. Concentration pairs of midazolam and alfentanil were calculated for each of Cp and Ce using pharmacokinetic simulation software. Response surface models were developed using the Greco construct. Temporal analysis was done by comparing model-predicted wake-up time with true patient wake-up time.ResultsThirty-three patients with an average body mass index of 21.85?±?2.3?kg/m2were pooled for analysis. The average duration of examination were 2.9?±?1.4?min for EGD and 6.6?±?2.7?min for colonoscopy. Seventy-five concentration pairs of midazolam and alfentanil were obtained for each Cp and Ce. The Cp-based Greco response surface model showed significant synergy between midazolam and alfentanil and was a better predictor of patient wake-up time, with an average deviation of 1.0?±?3.9?min, while the Ce model show time deviation greater than 20?min.ConclusionThe early phases of drug distribution are unique and complicated by nonsteady-state concentrations, and our study revealed that Ce-based wake-up time prediction is more difficult under these circumstances.
机译:背景食管胃十二指肠镜检查(EGD)和结肠镜检查的镇静剂以患者快速引诱和出现为特征。长期使用咪达唑仑和阿芬太尼的药物进行镇静。然而,血浆或效应部位浓度(分别为Cp或Ce)与出现之间的关系仍不清楚。这项研究的目的是使用反应表面模型开发一种Cp和Ce的患者唤醒预测模型,这是一种评估患者反应的药效学工具。在考试期间。使用药代动力学模拟软件分别计算Cp和Ce的咪达唑仑和阿芬太尼浓度对。使用Greco构造开发了响应面模型。通过将模型预测的起床时间与真实的患者起床时间进行比较来进行时间分析。结果收集了33名平均体重指数为21.85?±?2.3?kg / m2的患者进行分析。 EGD的平均检查时间为2.9?±?1.4?min,结肠镜检查的平均检查时间为6.6?±?2.7?min。对于每个Cp和Ce,获得了75个浓度对的咪达唑仑和阿芬太尼。基于Cp的Greco响应表面模型显示了咪达唑仑和阿芬太尼之间的显着协同作用,并且可以更好地预测患者的起床时间,平均偏差为1.0?±?3.9?min,而Ce模型的时间偏差大于20最小结论结论药物分布的早期阶段是独特的,并且由于非稳态浓度的影响而变得复杂,我们的研究表明,在这些情况下,基于Ce的唤醒时间预测更加困难。

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