Development of Postanesthesia Care Unit Delirium Is Associated with Differences in Aperiodic and Periodic Alpha Parameters of the Electroencephalogram during Emergence from General Anesthesia: Results from a Prospective Observational Cohort Study

观察研究 医学 非周期图 脑电图 麻醉 前瞻性队列研究 阿尔法(金融) 队列研究 谵妄 发作性谵妄 重症监护医学 内科学 精神科 外科 患者满意度 结构效度 数学 组合数学
作者
Julian Ostertag,Antonia Engelhard,Rachel Nuttall,Duygu Aydın,Gerhard Schneider,Paul S. García,Dominik Hinzmann,Jamie Sleigh,Stephan Kratzer,Matthias Kreuzer
出处
期刊:Anesthesiology [Lippincott Williams & Wilkins]
卷期号:140 (1): 73-84 被引量:9
标识
DOI:10.1097/aln.0000000000004797
摘要

Background Intraoperative alpha-band power in frontal electrodes may provide helpful information about the balance of hypnosis and analgesia and has been associated with reduced occurrence of delirium in the postanesthesia care unit. Recent studies suggest that narrow-band power computations from neural power spectra can benefit from separating periodic and aperiodic components of the electroencephalogram. This study investigates whether such techniques are more useful in separating patients with and without delirium in the postanesthesia care unit at the group level as opposed to conventional power spectra. Methods Intraoperative electroencephalography recordings of 32 patients who developed perioperative neurocognitive disorders and 137 patients who did not were considered in this post hoc secondary analysis. The power spectra were calculated using conventional methods and the “fitting oscillations and one over f” algorithm was applied to separate aperiodic and periodic components to see whether the electroencephalography signature is different between groups. Results At the group level, patients who did not develop perioperative neurocognitive disorders presented with significantly higher alpha-band power and a broadband increase in power, allowing a “fair” separation based on conventional power spectra. Within the first third of emergence, the difference in median absolute alpha-band power amounted to 8.53 decibels (area under the receiver operator characteristics curve, 0.74 [0.65; 0.82]), reaching its highest value. In relative terms, the best separation was achieved in the second third of emergence, with a difference in medians of 7.71% (area under the receiver operator characteristics curve, 0.70 [0.61; 0.79]). The area under the receiver operator characteristics curve values were generally lower toward the end of emergence with increasing arousal. Conclusions Increased alpha-band power during emergence in patients who did not develop perioperative neurocognitive disorders can be traced back to an increase in oscillatory alpha activity and an overall increase in aperiodic broadband power. Although the differences between patients with and without perioperative neurocognitive disorders can be detected relying on traditional methods, the separation of the signal allows a more detailed analysis. This may enable clinicians to detect patients at risk for developing perioperative neurocognitive disorders in the postanesthesia care unit early in the emergence phase. Editor’s Perspective What We Already Know about This Topic What This Article Tells Us That Is New
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