| 重症脑血管病患者脑电图分级情况及其与临床预后的关系 |
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| 引用本文： | 徐金元,龚敏操.重症脑血管病患者脑电图分级情况及其与临床预后的关系[J].中华全科医学,2018,16(7):1097. |
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| 作者姓名： | 徐金元 龚敏操 |
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| 作者单位： | 浙江省中医院神经特检科, 浙江 杭州 310006 |
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| 基金项目： | 浙江省中医药科技局基金(2017203134) |
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| 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。
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| 关 键 词： | 脑电图分级 重症脑血管病 预后 |
| 收稿时间： | 2017-11-30 |
EEG grading in patients with severe cerebrovascular disease and its relationship with clinical prognosis |
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| Affiliation: | Department of Nervous System Instrumental Examination, Zhejiang Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang 310006, China |
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| Abstract: | 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 Traditional Chinese Medical Hospital of Zhejiang Province. EEG was monitored for these patients, including the Glasgow Coma 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 Logistic 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, Ⅲ, 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 predict the prognosis, and it is worthy of clinical application. |
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