利用脑电图反应性分级对脑血管病意识障碍患者预后的预测

Prognostic predictive value of EEG classification based on EEG reactivity in disorder of consciousness patients with cerebrovascular diseases

目的：探讨脑电图（EEG）反应性分级（EEGclassificationbasedon EEG reactivity，ECBER）对脑血管病意识障碍患者预后的评估。方法：使用美国尼高力（Nicolet）公司的脑电监护仪对80例符合标准的患者行EEG检查，根据Synek、王晓梅、ECBER3种不同EEG分级标准对EEG结果进行分级，以患者发病1个月内生存和死亡为观察指标，分析ECBER标准对患者的预后的预测价值。结果：Synek、王晓梅、ECBER3种EEG分级与患者预后均有明显的相关性，相关系数分别为0．592、0．622、0．611（P均〈0．001）。结论：ECBER对脑血管病意识障碍患者预后的评估有确切肯定的价值。

Objective：To investigate the prognostic predictive value of EEG classification based on EEG reactivity（ECBER） in patients with disorder of consciousness of cerebrovascular diseases. Methods： 80 patients selected received EEG examinations by Nicolet EEG instrument. EEG was classified according to Synek , Wang Xiaomei and ECBER standards. The relationships between the three different EEG grading standards and the prognosis of patients within 1 month after the onset were analyzed . Survival and mortality were outcome measures. Results：The three different grading standards were correlated significantly with the predictive prognosis. Correlation coefficient was 0. 592,0. 622,0. 611 separately （All P〈0. 001）. Conclusion： ECBER can well improve the prognostic predictive value in patients with disorder of consciousness of cerebrovascular diseases.