NARCOguide 指数--监测异丙酚麻醉/镇静期间催眠深度的新参数

Florian Hetzer, Stefan Horack, Gert Küchler, Jens Broscheit
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Secondly, the automatic detection of burst-suppression patterns as represented by the burst suppression ratio was compared.\n \n \n \n Comparative study to assess the agreement between two medical devices.\n \n \n \n At two study centres, patient data were collected from a total of 40 adults receiving general anaesthesia or sedation with propofol.\n \n \n \n Patients underwent either general anaesthesia for oral surgery with propofol/remifentanil/rocuronium (study centre 1) or light general anaesthesia/deep sedation with propofol alone for laryngoscopic upper airway exploration (study centre 2).\n \n \n \n In a posthoc analysis, the NARCOguide index was compared with the Narcotrend index. Comparison was made after averaging over 1 min at defined clinical markers using classic linear least squares regression and Bland–Altman plots. 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引用次数: 0

摘要

NARCOguide 算法通过计算脑电图得出的指数来监测麻醉中的催眠成分。 本研究以 Narcotrend 指数为参照,评估了 NARCOguide 所计算指数的准确性。其次,还比较了猝发抑制比所代表的猝发抑制模式的自动检测。 比较研究评估两种医疗设备之间的一致性。 在两个研究中心,共收集了 40 名接受全身麻醉或异丙酚镇静的成人患者数据。 患者在进行口腔手术时使用丙泊酚/瑞芬太尼/罗库溴铵进行全身麻醉(研究中心 1),或在进行喉镜上气道探查时仅使用丙泊酚进行轻度全身麻醉/深度镇静(研究中心 2)。 在事后分析中,NARCOguide 指数与 Narcotrend 指数进行了比较。通过经典的线性最小二乘法回归和布兰-阿尔特曼图,在确定的临床标记处对 1 分钟的平均值进行比较。以人工评分作为参考,确定了检测爆发抑制的精确度和召回率。 数据分析显示,NARCOguide 和 Narcotrend 计算的麻醉深度指数之间具有良好的一致性[Bland-Altman 平均差 (MD) = -2.3;一致性范围 = -27.1 至 +22.4;n = 1209]和高度相关性 (r 2 = 0.76)。NARCOguide 和 Narcotrend 检测爆发抑制的精确度和召回率在相似范围内。在整个数据集中,NARCOguide 算法的精确度和召回率均高于 Narcotrend 算法(分别为 56% 对 36% 和 68% 对 58%)。 NARCOguide指数可用于监测使用异丙酚进行全身麻醉或镇静的患者的麻醉催眠成分,其性能与Narcotrend指数相似。 试验注册号:18020,监管机构:Ethikkommission der Bayer:Ethikkommission der bayerischen Landesärztekammer,主席:Dr med.Gerald Quitterer,申请人:Gert Küchler 博士:Gert Küchler 博士,批准日期:12:12.June 2018, completion of data collection:12 December 2018, study completion:2022 年 3 月 31 日。
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The NARCOguide index – a novel parameter for monitoring depth of hypnosis during anaesthesia/sedation with propofol
The NARCOguide algorithm calculates an EEG-derived index to monitor the hypnotic component of anaesthesia. This study evaluates the accuracy of the index calculated by NARCOguide against the Narcotrend index as a reference. Secondly, the automatic detection of burst-suppression patterns as represented by the burst suppression ratio was compared. Comparative study to assess the agreement between two medical devices. At two study centres, patient data were collected from a total of 40 adults receiving general anaesthesia or sedation with propofol. Patients underwent either general anaesthesia for oral surgery with propofol/remifentanil/rocuronium (study centre 1) or light general anaesthesia/deep sedation with propofol alone for laryngoscopic upper airway exploration (study centre 2). In a posthoc analysis, the NARCOguide index was compared with the Narcotrend index. Comparison was made after averaging over 1 min at defined clinical markers using classic linear least squares regression and Bland–Altman plots. Precision and recall for the detection of burst suppression were determined using human scoring as a reference. Data analysis showed good agreement [Bland–Altman mean difference (MD) = −2.3; limits of agreement = −27.1, to +22.4; n = 1209] and high correlation (r 2 = 0.76) between the depth of anaesthesia index calculated by NARCOguide and Narcotrend. The precision and recall of NARCOguide and Narcotrend for the detection of burst suppression were in a similar range. Over the entire dataset, the NARCOguide algorithm showed higher precision and recall than the Narcotrend algorithm (56% vs. 36% and 68% vs. 58%, respectively). The NARCOguide index can be used to monitor the hypnotic component of anaesthesia in patients undergoing general anaesthesia or sedation with propofol, with a performance similar to that of the Narcotrend index. Trial registration number: 18020, regulatory authority: Ethikkommission der bayerischen Landesärztekammer, chairman: Dr med. Gerald Quitterer, applicant: Dr Gert Küchler, date of approval: 12. Jun 2018, completion of data collection: 12 December 2018, study completion: 31 March 2022.
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