Heart rate variability as a predictor of intraoperative autonomic nervous system homeostasis.

IF 2 3区 医学 Q2 ANESTHESIOLOGY
Ole C Keim, Lennart Bolwin, Robert E Feldmann, Manfred Thiel, Justus Benrath
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引用次数: 0

Abstract

The aim of the proof-of-concept study is to investigate the level of concordance between the heart rate variability (HRV), the EEG-based Narcotrend Index as a surrogate marker for the depth of hypnosis, and the minimal alveolar concentration (MAC) of the inhalation anesthetic sevoflurane across the entire course of a surgical procedure. This non-blinded cross-sectional study recorded intraoperative HRV, Narcotrend Index, and MAC in 31 male patients during radical prostatectomy using the Da-Vinci robotic-assisted surgical system at Mannheim University Medical Center. The degree of concordance was calculated using repeated measures correlation with the R package (rmcorr) and presented using the rmcorr coefficient (rrm). The Narcotrend Index correlates significantly across all measures with the time-dependent parameter of HRV, the standard deviation of the means of RR intervals (SDNN) (rrm = 0.2; p < 0.001), the frequency-dependent parameters low frequency (LF) (rrm = 0.09; p = 0.04) and the low frequency/high frequency ratio (LF/HF ratio) (rrm = 0.11; p = 0.002). MAC correlated significantly negatively with the time-dependent parameter of heart rate variability, SDNN (rrm = -0.28; p < 0.001), the frequency-dependent parameter LF (rrm = -0.06; p < 0.001) and the LF/HF ratio (rrm = -0.18; p < 0.001) and the Narcotrend Index (rrm = -0.49; p < 0.001) across all measures. HRV mirrors the trend of the Narcotrend Index used to monitor depth of hypnosis and the inhibitory influence of the anesthetic sevoflurane on the autonomic nervous system. Therefore, HRV can provide essential information about the homeostasis of the autonomic nervous system during general anesthesia. DRKS00024696, March 9th, 2021.

Abstract Image

预测术中自主神经系统平衡的心率变异性。
概念验证研究的目的是调查心率变异性(HRV)、作为催眠深度替代标记的脑电图 Narcotrend 指数和吸入麻醉剂七氟醚的最小肺泡浓度(MAC)在整个手术过程中的一致性水平。这项非盲法横断面研究记录了曼海姆大学医学中心使用达芬奇机器人辅助手术系统对31名男性患者进行根治性前列腺切除术时的术中心率变异、Narcotrend指数和MAC。使用 R 软件包(rmcorr)计算重复测量相关性,并用 rmcorr 系数(rrm)表示一致性程度。在所有测量中,Narcotrend指数与心率变异的时间相关参数--RR间期平均值的标准偏差(SDNN)有显著相关性(rrm = 0.2; p
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来源期刊
CiteScore
4.30
自引率
13.60%
发文量
144
审稿时长
6-12 weeks
期刊介绍: The Journal of Clinical Monitoring and Computing is a clinical journal publishing papers related to technology in the fields of anaesthesia, intensive care medicine, emergency medicine, and peri-operative medicine. The journal has links with numerous specialist societies, including editorial board representatives from the European Society for Computing and Technology in Anaesthesia and Intensive Care (ESCTAIC), the Society for Technology in Anesthesia (STA), the Society for Complex Acute Illness (SCAI) and the NAVAt (NAVigating towards your Anaestheisa Targets) group. The journal publishes original papers, narrative and systematic reviews, technological notes, letters to the editor, editorial or commentary papers, and policy statements or guidelines from national or international societies. The journal encourages debate on published papers and technology, including letters commenting on previous publications or technological concerns. The journal occasionally publishes special issues with technological or clinical themes, or reports and abstracts from scientificmeetings. Special issues proposals should be sent to the Editor-in-Chief. Specific details of types of papers, and the clinical and technological content of papers considered within scope can be found in instructions for authors.
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