脑电图谱熵对昏迷患者预后判别的价值

Prognostic value of the EEG spectral entropy in comatose patients

目的：评估脑电图（EEG）谱熵对脑卒中昏迷患者存活的预测价值。方法：回顾性分析脑卒中昏迷并完善定量EEG监测患者,根据出院结局分为死亡组及存活组。采用Logistic回归对影响昏迷患者存活的因素进行单因素和多因素分析。应用ROC曲线下面积对影响因素进行比较。结果：共74例患者入组,存活45例（60.8%）。α谱熵和GCS评分是脑卒中昏迷患者存活的独立影响因素。α谱熵对存活预测的ROC曲线下面积为0.823±0.048（P〈0.01,95%CI：0.729~0.916）。GCS评分对存活预测的ROC曲线下面积为0.734±0.059（P〈0.01,95%CI：0.618~0.851）。结论：α谱熵对脑卒中昏迷患者存活判定具有重要价值。

Objective： To evaluate the prognostic value of the electroencephalogram （EEG） spectrum entropy in comatose patients. Methods： The general information and data of continuous EEG of patients in coma were reviewed and further work was performed to make them flawless. According to the outcomes at discharge, the patients were divided into dead group and survival group. The factors which would influence the outcomes of comatose patients were analyzed by univariate and multivariate Logistic regression. Receiver operating characteristic curves were used to compare the influencing factors. Results： A total of 74 patients in coma were enrolled,45 of which were survived at discharge （60.8%）. GCS and alpha spectrum entropy were found to be independent survival factors of comatose patients. The area under the receiver operator characteristic curve for predicting survival of alpha spectrum entropy was 0. 823±0. 048 （P〈0.01,95% CI.0. 716-0. 902）,and that of GCS score was 0. 734±0. 059（P〈0.01,95% CI：0. 619- 0. 830）. Conclusion. The alpha spectrum entropy is valuable in the survival predicting of comatose patients.