Suppr超能文献

创伤性脑损伤所致昏迷中占主导地位的脑电图模式及其预后价值。

Dominated EEG patterns and their prognostic value in coma caused by traumatic brain injury.

作者信息

Beridze M, Khaburzania M, Shakarishvili R, Kazaishvili D

机构信息

Department of Neuromedicine, Tbilisi State Medical University, Tbilisi, Georgia.

出版信息

Georgian Med News. 2010 Sep(186):28-33.

Abstract

Study aimed at investigation of dominated EEG patterns in traumatic coma of different severity and to elucidate their prognostic value for outcome of disease within month. A total of 53 coma patients with severe traumatic brain injury have been investigated. Exclusion criteria comprised the patients needing the neurosurgical intervention due to hemorrhage. Brain injury was visualized by conventional CT at admission. The level of consciousness was evaluated by Glasgow Coma Scale (GCS). Patients were divided in 5 groups according to GCS. Electrophysiological investigations were performed on 5th day from development of coma by application of 16 channel computer encephalography. Outcome of coma (death, vegetative state, recovery) was evaluated within month from disease onset. According to dominated EEG background activity patterns the 1st group (GCS=4) showed the delta EEG pattern in 50 % of patients, the beta EEG pattern- in 33.4% and the alpha EEG pattern - in 16.6%. The 2nd group (GCS=5) revealed the delta EEG in 40%, the beta EEG- in 6.7% and the theta EEG - in 53.3%. The 3rd group (GCS=6) showed the delta EEG pattern in 27.8% and the theta EEG pattern- in 72.2%. In 4th group (GCS=7) the theta EEG pattern found in 77.7% and the beta EEG pattern in 22.3%. The 5th group (GCS=8) revealed the theta EEG activity in 80% and beta EEG activity - in 20%. Positive correlation was found between the GCS and the frequency of theta EEG pattern (r=+0.62; p<0.05). Positive correlation was established between the frequency of delta EEG pattern, death and persistent vegetative state (r=+0.57 and r=+0.16 respectively, p<0.05) within month. Positive correlation was established between the frequency of delta EEG pattern and the size of brain injury (r=+0.3; p=0.04). Multinomial logistic regression revealed the significance of brain lesion size, GCS and EEG pattern for functional outcome of coma. In severe traumatic coma patients the delta EEG pattern is associating with deep coma state and predicts the poor functional outcome within month.

摘要

本研究旨在调查不同严重程度创伤性昏迷中占主导地位的脑电图模式,并阐明其对疾病一个月内预后的预测价值。共对53例重度创伤性脑损伤昏迷患者进行了研究。排除标准包括因出血需要神经外科干预的患者。入院时通过常规CT观察脑损伤情况。采用格拉斯哥昏迷量表(GCS)评估意识水平。根据GCS将患者分为5组。昏迷发生第5天,应用16通道计算机脑电图进行电生理检查。从疾病发作起一个月内评估昏迷结局(死亡、植物状态、恢复)。根据占主导地位的脑电图背景活动模式,第1组(GCS = 4)中50%的患者表现为δ脑电图模式,33.4%表现为β脑电图模式,16.6%表现为α脑电图模式。第2组(GCS = 5)中40%表现为δ脑电图,6.7%表现为β脑电图,53.3%表现为θ脑电图。第3组(GCS = 6)中27.8%表现为δ脑电图模式,72.2%表现为θ脑电图模式。第4组(GCS = 7)中77.7%表现为θ脑电图模式,22.3%表现为β脑电图模式。第5组(GCS = 8)中80%表现为θ脑电图活动,20%表现为β脑电图活动。发现GCS与θ脑电图模式频率之间存在正相关(r = +0.62;p < 0.05)。在一个月内,δ脑电图模式频率与死亡和持续性植物状态之间分别建立了正相关(r = +0.57和r = +0.16,p < 0.05)。δ脑电图模式频率与脑损伤大小之间建立了正相关(r = +0.3;p = 0.04)。多项逻辑回归显示脑损伤大小、GCS和脑电图模式对昏迷功能结局具有重要意义。在重度创伤性昏迷患者中,δ脑电图模式与深度昏迷状态相关,并预测一个月内功能结局较差。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验