择期手术全身麻醉维持阶段双频谱指数与年龄调整后最小肺泡浓度之间关系的研究

Nishant Kumar, Gunjan Bansal, Aruna Jain
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引用次数: 0

摘要

双谱指数(BIS)和最小肺泡浓度(MAC)通常用于监测麻醉深度。目的是研究麻醉维持阶段 BIS 与年龄调整后的最小肺泡浓度 (aaMAC) 之间的相关性。研究了影响 BIS 和或 aaMAC 的变量的影响,以确定 BIS 和 aaMAC 之间的等式。 这项前瞻性观察研究是在机构伦理批准后进行的,研究对象为全身麻醉下接受择期手术的 18-60 岁成年患者,性别不限,ASA I 级和 II 级。在麻醉维持阶段,气道管理后 5 分钟记录 BIS 值和 aaMAC 当量。在麻醉剂浓度在前 5 分钟内保持不变直至麻醉剂关闭期间,每分钟记录 aaMAC 和相应的 BIS 值。此外,还记录了年龄、性别、ASA 状态、氧化亚氮使用情况、吸入剂、咪达唑仑剂量和阿片类药物使用情况。 BIS/aaMAC 呈反相关。年龄增加、ASA II 状态、吗啡当量大于 5 以及使用一氧化二氮、七氟烷或异氟醚与同等 aaMAC 时 BIS 值升高有关。利用可交换相关结构,得出了一个广义估计方程作为最佳预测因子。 影响 aaMAC 和 BIS 的因素会影响二者之间的关系,虽然二者之间的差异很大,但 BIS 和 aaMAC 可以等同,如果知道其中一个因素,就可以使用广义估计方程计算出二者的值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study of the relationship between Bispectral index and age-adjusted minimum alveolar concentration during the maintenance phase of general anesthesia in elective surgery
Bispectral index (BIS) and minimum alveolar concentration (MAC) are commonly used to monitor the depth of anesthesia. The objective was to study the correlation between BIS and age-adjusted minimum alveolar concentration (aaMAC) during the maintenance phase of anesthesia. The influence of variables affecting BIS and or aaMAC was studied to determine an equation between BIS and aaMAC. This prospective observational study was carried out after institutional ethical approval in adult patients 18–60 years of either sex, ASA I and II posted for elective surgery under general anesthesia. Five minutes after airway management, BIS values and aaMAC equivalents were noted during the maintenance phase of anesthesia. aaMAC and corresponding BIS values were recorded every minute for periods, where the anesthetic agent concentration had remained the same during preceding 5 minutes till the switching off of the anesthetic agent. Age, sex, ASA status, use of nitrous oxide, inhalational agent, dose of midazolam, and opioid used were also recorded. BIS/aaMAC showed an inverse correlation. Increasing age, ASA II status, morphine equivalent >5, and use of nitrous oxide, sevoflurane, or isoflurane were associated with a higher BIS at equivalent aaMAC. Using the exchangeable correlation structure, a generalized estimation equation was obtained as the best predictor. Factors affecting both aaMAC and BIS affect the relationship between the two, and although there are wide variations, BIS and aaMAC can be equated and values of either can be calculated if one is known using a generalized estimates equation.
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