摘要
目的探讨重症脑血管病(severe cerebrovascular disease,SCVD)患者的脑电图(electroencephalogram,EEG)分级情况,并分析其与临床预后的关系,以期为SCVD的临床预后提供参考依据。方法选择2015年6月—2017年3月在浙江省中医院神经内科接受治疗的SCVD患者102例,对其进行EEG监测,包括行格拉斯哥昏迷量表评分(glasgow coma scale,GCS)和EEG监测,分析EEG分级与预后、GCS评分与预后的关系,并采用Logistic回归分析对相关因素与SCVD患者预后之间的关系进行研究。结果随访7 d,102例入组患者共有48例生存,54例死亡;EEG分级为Ⅰ级患者51例,43例生存,8例死亡,Ⅱ级患者9例,5例生存,4例死亡,Ⅲ、Ⅳ、Ⅴ、Ⅵ级患者全部死亡,病死率均为100%,EEG分级预后共48例生存,54例死亡;通过GCS评分量表评估,发现102例患者中,评分<3分者60例,GCS评分为(2.63±0.32)分;评分>3分者42例,GCS评分为(5.98±0.86)分;EEG和GCS的ROC曲线下面积(AUC)分别为0.882、0.715,两者AUC比较,差异具有统计学意义(P<0.05);SCVD预后与GCS评分、EEG分级相关。结论 EEG监测及分级结果应用于临床能够更好地反映SCVD病情的严重程度,且能够较好的对预后进行预测。
Objective To investigate the EEG grading （EEG） of severe cerebrovascular disease （SCVD） and to analyze its relationship with clinical prognosis, with a view to provide a reference for the clinical prognosis of SCVD. Methods A total of 102 SCVD patients were selected from June, 2015 to March, 2017 and treated in neurology department of Tra- ditional Chinese Medical Hospital of Zhejiang Province. EEG was monitored for these patients, including the Glasgow Co- ma Scale （GCS） and EEG Surveillance, to analyze the relationship between EEG classification and prognosis, GCS score and prognosis , the relationship between the related factors and the prognosis of patients with SCVD was studied by Logis- tic regression analysis. Results All 102 patients were followed up for 7 days and 48 patients survived and 54 patients died, EEG grade I patients in 51 cases, 43 cases of survival, 8 cases of death, grade II patients in 9 cases, 5 cases of survival, 4 cases of death, II, IV, V, VI grade patients all died, the mortality rate was 100% , EEG grading prognosis was 48 cases of survival, 54 cases died, Through the GCS score scale, found in 102 patients, the score was less than 3 points in 60 cases, GCS score was 2.63 ± 0.32, the score was greater than 3 points in 42 cases, GCS score was 5.98 ± 0.86 , The area under the ROC curve （AUC） of EEG and GCS were 0. 882 and 0.715, and the AUC values of the EEG and GCS were significantly different （P 〈 0.05 ） , SCVD prognosis was associated with GCS score and EEG grade. Conclusion EEG monitoring and grading results used in clinical can better reflect the severity of SCVD, and can better pre- dict the prognosis, and it is worthy of clinical application.
作者
徐金元
龚敏操
XU Jin-yuan;GONG Min-cao(Department of Nervous System Instrumental Examination, Zhejiang Hospital of Traditional Chinese Medicine, Hangzhou , Zhejiang 310006, China)
出处
《中华全科医学》
2018年第7期1097-1099,1157,共4页
Chinese Journal of General Practice
基金
浙江省中医药科技局基金(2017203134)
关键词
脑电图分级
重症脑血管病
预后
EEG grading
Severe cerebrovascular disease
Prognosis
Logistic regression
