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在线监测正常体重和肥胖手术患者呼出的丙泊酚。

Online exhaled propofol monitoring in normal-weight and obese surgical patients.

机构信息

Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.

Department of Anaesthesiology, Division of Critical Care, Oslo University Hospital, Oslo, Norway.

出版信息

Acta Anaesthesiol Scand. 2022 May;66(5):598-605. doi: 10.1111/aas.14043. Epub 2022 Feb 19.

Abstract

BACKGROUND

Ion mobility spectrometry (IMS) allows for online quantification of exhaled propofol concentrations. We aimed to validate a bedside online IMS device, the Edmon , for predicting plasma concentrations of propofol in normal-weight and obese patients.

METHODS

Patients with body mass index (BMI) >20 kg/m scheduled for laparoscopic cholecystectomy or bariatric surgery were recruited. Exhaled propofol concentrations (C ), arterial plasma propofol concentrations (C ) and bispectral index (BIS) values were collected during target-controlled infusion (TCI) anaesthesia. Generalised estimation equation (GEE) was applied to all samples and stable-phase samples at different delays for best fit between C and C . BMI was evaluated as covariate. BIS and exhaled propofol correlations were also assessed with GEE.

RESULTS

A total of 29 patients (BMI 20.3-53.7) were included. A maximal R of 0.58 was found during stable concentrations with 5 min delay of C to C ; the intercept a = -0.69 (95% CI -1.7, 0.3) and slope b = 0.87 (95% CI 0.7, 1.1). BMI was found to be a non-significant covariate. The median absolute performance error predicting plasma propofol concentrations was 13.4%. At a C of 5 ppb, the model predicts a C of 3.6 μg/ml (95% CI ±1.4). There was a maximal negative correlation of R  = 0.44 at 2-min delay from C to BIS.

CONCLUSIONS

Online monitoring of exhaled propofol concentrations is clinically feasible in normal-weight and obese patients. With a 5-min delay, our model outperforms the Marsh plasma TCI model in a post hoc analysis. Modest correlation with plasma concentrations makes the clinical usefulness questionable.

摘要

背景

离子迁移谱(IMS)可实现呼出丙泊酚浓度的在线定量。我们旨在验证一种床边在线 IMS 设备 Edmon ,以预测正常体重和肥胖患者的血浆丙泊酚浓度。

方法

招募 BMI>20kg/m2 的接受腹腔镜胆囊切除术或减肥手术的患者。在靶控输注(TCI)麻醉期间收集呼出丙泊酚浓度(C)、动脉血浆丙泊酚浓度(C)和脑电双频指数(BIS)值。使用广义估计方程(GEE)对所有样本和不同延迟的稳定相样本进行拟合,以确定 C 和 C 之间的最佳拟合。评估 BMI 作为协变量。还使用 GEE 评估 BIS 和呼出丙泊酚之间的相关性。

结果

共纳入 29 例患者(BMI 20.3-53.7)。在稳定浓度时,C 与 C 之间延迟 5 分钟时发现最大 R 为 0.58;截距 a=-0.69(95%CI -1.7, 0.3),斜率 b=0.87(95%CI 0.7, 1.1)。BMI 被发现是非显著的协变量。预测血浆丙泊酚浓度的中位数绝对性能误差为 13.4%。在 C 为 5ppb 时,该模型预测 C 为 3.6μg/ml(95%CI ±1.4)。在 C 与 BIS 之间延迟 2 分钟时,相关性最大,R 为 0.44。

结论

在正常体重和肥胖患者中,呼出丙泊酚浓度的在线监测在临床上是可行的。在 5 分钟的延迟后,我们的模型在事后分析中优于 Marsh 血浆 TCI 模型。与血浆浓度的适度相关性使得其临床应用值得怀疑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4760/9305953/0e490b411bf5/AAS-66-598-g002.jpg

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