The best indices of anesthesia depth monitored by electroencephalogram in different age groups.

Abstract

IntroductionCurrent electroencephalogram (EEG) indices for monitoring the depth of anesthesia have not been adjusted for age. This study aims to identify the most suitable EEG indices for monitoring anesthesia depth across different age groups.MethodIn here, we conducted a prospective observational trial to observe whether different EEG features in different age groups can detect anesthesia depth and compare their performance.ResultsIn Group 1, absolute θ had the highest prediction probability (Pk) value (0.78 ± 0.07), while relative γ had the lowest relative coefficient of variation (CV) value in states 1 (0.160), 2 (0.153), 3 (0.214), and 4 (0.144). In Group 2, absolute θ had the highest Pk value (0.81 ± 0.09), and relative γ had the lowest CV value in states 1 (0.159), 2 (0.178), 3 (0.140), and 4 (0.095). In Group 3, absolute δ had the highest Pk value (0.79 ± 0.08), with absolute slow wave having the lowest CV value in states 1 (0.196), 2 (0.258), 3 (0.295), and 4 (0.181). In Group 4, absolute δ had the highest Pk value (0.75 ± 0.10), and absolute slow wave had the lowest CV value in states 1 (0.176), 2 (0.192), 3 (0.185), and 4 (0.144).ConclusionsIn this study, we found that absolute θ and relative γ are the most suitable choices for young and middle-aged patients, while absolute δ and absolute slow wave are the most suitable choices for young elderly and elderly patients.