Ostertag Julian, Migal Aleksandra, Obert David P, Schneider Gerhard, Sepúlveda Pablo, Kreuzer Matthias
Department of Anesthesiology and Intensive Care, School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, Munich 81675, Germany.
Department of Anesthesiology, Hospital Base San José, Universidad Austral, Av. Guillermo Bühler 1765, Osorno, Chile.
Clin Neurophysiol Pract. 2025 Jun 19;10:209-217. doi: 10.1016/j.cnp.2025.06.002. eCollection 2025.
Evaluating age-related dependencies in the electroencephalogram (EEG) during induction of general anesthesia and their impact on composite scores used to assess frailty.
A composite score was derived from spectral edge frequency, total power, alpha power, and the effect-site concentration (Ce) of propofol. All these parameters are influenced by age, brain health, and dosage and speed of drug administration. Correlation coefficients and variance inflation factors were used to determine multicollinearity. Differences in the spectral EEG features of patients with "high" and "low" composite scores were assessed by the area under the receiver operator characteristic curve (AUC) as the statistical test.
The EEG features, total power and alpha power, were strongly correlated ( = 0.82). But alpha power ( = 0.17) and total power ( = 0.2) were only weakly correlated with propofol, indicating a weak model. Additionally, the composite score showed a moderate negative correlation with age ( = -0.44). We also observed significant and strong (AUC 0.3) differences in total power and the power of all EEG bands except gamma between patients with a "high" and a "low" score before loss of responsiveness (LOR).
Patient age significantly influences EEG-based parameters within the score. Importantly, significant differences in spectral EEG features between the groups were already observable before LOR. These differences could allow for early assessment of a patient's brain state and to titrate anesthetic dose before LOR. The study also shows that age should be considered as it can drive models for "frailty".
Age moderately influenced all subcomponents and should consequently be factored into score interpretation.
评估全身麻醉诱导期间脑电图(EEG)中与年龄相关的依赖性及其对用于评估虚弱的综合评分的影响。
综合评分由频谱边缘频率、总功率、α功率和丙泊酚的效应室浓度(Ce)得出。所有这些参数都受年龄、脑健康状况以及药物给药剂量和速度的影响。使用相关系数和方差膨胀因子来确定多重共线性。通过接受者操作特征曲线(AUC)下的面积作为统计检验,评估“高”和“低”综合评分患者的脑电图频谱特征差异。
脑电图特征、总功率和α功率高度相关(= 0.82)。但α功率(= 0.17)和总功率(= 0.2)与丙泊酚仅呈弱相关,表明模型较弱。此外,综合评分与年龄呈中度负相关(= -0.44)。我们还观察到在失去反应性(LOR)之前,“高”分和“低”分患者在总功率以及除γ频段外所有脑电图频段的功率方面存在显著且强烈(AUC 0.3)差异。
患者年龄显著影响评分中基于脑电图的参数。重要的是,在LOR之前两组之间脑电图频谱特征的显著差异就已可观察到。这些差异可用于早期评估患者的脑状态并在LOR之前调整麻醉剂量。该研究还表明应考虑年龄,因为它会影响“虚弱”模型。
年龄对所有子成分有中度影响,因此应在评分解释中予以考虑。