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先前发表的药物相互作用模型能够很好地预测经食管超声心动图镇静时的反应丧失,但不能预测食管器械检查时的反应。

Previously published drug interaction models predict loss of response for transoesophageal echocardiography sedation well but not response to oesophageal instrumentation.

机构信息

Department of Anesthesiology, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Road, Beitou District, Taipei City, 11217, Taiwan, Republic of China.

National Yang-Ming University and School of Medicine, No. 155, Sec. 2, Linong Street, Taipei City, 112, Taiwan, Republic of China.

出版信息

Sci Rep. 2019 Mar 7;9(1):3806. doi: 10.1038/s41598-019-40366-3.

Abstract

Response surface models (RSMs) were used to predict effects of multiple drugs interactions. Our study was aimed to validate accuracy of the previous published volunteer models during transoesophageal echocardiography (TEE). This is a cross-sectional study with 20 patients scheduled for transesophageal echocardiography in Taipei Veterans General Hospital, Taiwan. Effect-site concentration pairs of alfentanil and propofol were recorded and converted to equivalent remifentanil and propofol effect-site concentrations. Observer's Assessment of Alertness/Sedation (OAA/S) scores were assessed every 2 minutes. Using these data, previous published models of loss of response (LOR), intolerable ventilatory depression (IVD), and loss of response to esophageal instrumentation (LREI) were then estimated. Accuracy of prediction is assessed by calculating the difference between the true response and the model-predicted probability. Clinical events such as interruption of TEE were recorded. The average procedure time was 11 minutes. Accuracy for prediction of LOR and LREI is 63.6% and 38.5%, respectively. There were four patients experienced desaturation for less than 1 minute, which were not predicted by IVD model, and one interruption of TEE due to involuntary movement. The previous published drug-interaction RSMs predict LOR well but not LREI for TEE sedation. Further studies using response surface methodology are needed to improve quality for TEE sedation and clinical implementation.

摘要

响应面模型(RSM)用于预测多种药物相互作用的影响。我们的研究旨在验证先前发表的志愿者模型在经食管超声心动图(TEE)中的准确性。这是一项横断面研究,共有 20 名计划在台湾台北荣民总医院接受经食管超声心动图的患者。记录了阿芬太尼和丙泊酚的效应部位浓度对,并将其转换为等效的雷米芬太尼和丙泊酚效应部位浓度。每 2 分钟评估一次观察者警觉/镇静评分(OAA/S)。使用这些数据,然后估计先前发表的关于反应丧失(LOR)、无法耐受的通气抑制(IVD)和对食管仪器操作反应丧失(LREI)的模型。通过计算真实反应与模型预测概率之间的差异来评估预测的准确性。记录 TEE 中断等临床事件。平均手术时间为 11 分钟。预测 LOR 和 LREI 的准确性分别为 63.6%和 38.5%。有 4 名患者出现持续时间少于 1 分钟的缺氧,但 IVD 模型未预测到,1 名患者因不自主运动而中断 TEE。先前发表的药物相互作用 RSM 可很好地预测 TEE 镇静时的 LOR,但不能预测 LREI。需要使用响应面方法学进行进一步研究,以提高 TEE 镇静的质量并将其临床实施。

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