Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, Jiangsu, China.
Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Brain Behav. 2024 Oct;14(10):e70086. doi: 10.1002/brb3.70086.
This review explores advanced methods for assessing perioperative cerebral function in Type A aortic dissection (TAAD) patients, with a focus on quantitative electroencephalography (QEEG). It highlights the critical issue of cerebral malperfusion, which is associated with higher mortality and poor prognosis during the perioperative phase in TAAD patients.
The review centers on the utilization of QEEG as a pivotal tool for the extensive monitoring of brain function at various stages: preoperatively, intraoperatively, and postoperatively. It elaborates on the foundational principles of QEEG, including the mathematical and computational analysis of electroencephalographic signals, enriched with intuitive graphical representations of cerebral functional states.
QEEG is presented as an innovative approach for the real-time, noninvasive, and reliable assessment of cerebral function. The review details the application of QEEG in monitoring conditions such as preoperative cerebral malperfusion, intraoperative deep hypothermic circulatory arrest, and postoperative recovery of cerebral function in patients undergoing TAAD treatment.
Although QEEG is still in an exploratory phase for TAAD patients, it has shown efficacy in other domains, suggesting its potential in multimodal brain function monitoring. However, its broader application requires further research and technological advancements.
本综述探讨了评估 A 型主动脉夹层(TAAD)患者围手术期脑功能的先进方法,重点关注定量脑电图(QEEG)。它强调了脑灌注不足的关键问题,这与 TAAD 患者围手术期的高死亡率和预后不良有关。
综述集中讨论了 QEEG 的应用,将其作为在术前、术中、术后各个阶段广泛监测脑功能的关键工具。它详细阐述了 QEEG 的基本原理,包括脑电图信号的数学和计算分析,并辅以直观的脑功能状态图形表示。
QEEG 是一种用于实时、无创和可靠评估脑功能的创新方法。该综述详细介绍了 QEEG 在监测术前脑灌注不足、术中深低温停循环以及术后 TAAD 治疗患者脑功能恢复等情况下的应用。
尽管 QEEG 仍处于探索阶段,但它在其他领域已显示出有效性,表明其在多模态脑功能监测中的潜力。然而,其更广泛的应用需要进一步的研究和技术进步。