首页> 外文期刊>Anesthesia and Analgesia: Journal of the International Anesthesia Research Society >The accuracy and clinical feasibility of a new bayesian-based closed-loop control system for propofol administration using the bispectral index as a controlled variable.
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The accuracy and clinical feasibility of a new bayesian-based closed-loop control system for propofol administration using the bispectral index as a controlled variable.

机译:一种新的基于贝叶斯的基于双光谱指数作为控制变量的丙泊酚给药闭环控制系统的准确性和临床可行性。

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BACKGROUND: Closed-loop control of the hypnotic component of anesthesia has been proposed in an attempt to optimize drug delivery. Here, we introduce a newly developed Bayesian-based, patient-individualized, model-based, adaptive control method for bispectral index (BIS) guided propofol infusion into clinical practice and compare its accuracy and clinical feasibility under direct observation of an anesthesiologist versus BIS guided, effect compartment controlled propofol administration titrated by the anesthesiologist during ambulatory gynecological procedures. METHODS: Forty ASA patients were randomly allocated to the closed-loop or manual control group. All patients received midazolam 1 mg IV and alfentanil 0.5 mg IV before induction. In the closed-loop control group, propofol was administered using the previously described closed-loop control system to reach and maintain a target BIS of 50. In the manual control group, the propofol effect-site concentration was adapted at the discretion of the anesthesiologist to reach and maintain a BIS as close as possible to 50. Induction characteristics, performance, and robustness during maintenance and recovery times were compared. Hemodynamic and respiratory stability were calculated as clinical feasibility parameters. RESULTS: The closed-loop control system titrated propofol administration accurately resulting in BIS values close to the set point. The closed-loop control system was able to induce the patients within clinically accepted time limits and with less overshoot than the manual control group. Automated control resulted in beneficial recovery times. Our closed-loop control group showed similar acceptable clinical performance specified by similar hemodynamic, respiratory stability, comparable movement rates, and quality scores than the manual control group. CONCLUSIONS: The Bayesian-based closed-loop control system for propofol administration using the BIS as a controlled variable performed accurate during anesthesia for ambulatory gynecological procedures. This control system is clinical feasibility and can be further validated in clinical practice.
机译:背景:已经提出了对麻醉的催眠成分进行闭环控制的尝试,以优化药物的输送。在这里,我们将一种新开发的基于贝叶斯,基于患者的个体化,基于模型的双光谱指数(BIS)指导的异丙酚输注的自适应控制方法引入临床实践,并在麻醉医师与BIS指导的直接观察下比较其准确性和临床可行性,由麻醉师在非卧床妇科手术过程中进行滴定,控制异丙酚的作用。方法:将40例ASA患者随机分为闭环组或手动对照组。所有患者在诱导前接受咪达唑仑1 mg IV和阿芬太尼0.5 mg IV。在闭环对照组中,使用前述闭环控制系统给予丙泊酚以达到并维持目标BIS为50。在手动对照组中,由麻醉医师酌情调整丙泊酚作用部位的浓度。达到并保持BIS尽可能接近50。比较了维护和恢复期间的感应特性,性能和耐用性。血流动力学和呼吸稳定性被计算为临床可行性参数。结果:闭环控制系统准确地确定了异丙酚的滴定,导致BIS值接近设定值。闭环控制系统能够在临床可接受的时限内诱使患者,并且与手动对照组相比,其超调量较小。自动化控制可缩短恢复时间。与手动对照组相比,我们的闭环对照组显示出相似的可接受的临床表现,这些血液动力学,呼吸稳定性,可比的运动速率和质量得分均相似。结论:基于贝叶斯的闭环控制系统使用BIS作为控制变量进行丙泊酚给药,在麻醉妇科手术过程中执行准确。该控制系统具有临床可行性,可以在临床实践中进一步验证。

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