RÉSUMÉ
Objective To evaluate the role of combining relative alpha variability and electroencephalogram (EEG) reactivity to predict the prognosis of hypoxic?ischemic encephalopathy(HIE) in adult patients. Methods A total of 28 adult patients with HIE admitted to general intensive care unit at Xiangya Hospital in Central South University were enrolled in this observational study from January2016 to April 2017. These patients with body temperature over 35℃after 72?hour admission could be continuously monitored at least 12 hours byEEG.At the same time,each patient was assessed for EEG reactivity.Then we analyzed the correlation between EEG reactivity, relative alpha variability and clinical prognosis. Results EEG reactivity was elicited in 15/28 patients, among whom 12 patients had a good outcome. While in the other 13 patients, EEG reactivity was not elicited, among whom only 3 patients had a good outcome. As to the results ofrelative alpha variability,11/13 patients with degree 3?4were of good prognosis; while only 3/15 patients with degree 1?2 were of good prognosis. Glasgow coma scale(GCS), EEG reactivity, and relative alpha variability were correlated with clinical outcome(χ2=5.073,9.073,-3.626, respectively,all P<0.05). The sensitivity of GCS, EEG reactivity,and relative alpha variability to predict the poor prognosis were 69.2%, 76.9%, 84.6%, respectively. The specificity were 73.3%, 80.0%, 73.3%, respectively. The consistency rates were 71.4%, 78.6%, 78.6%, respectively. The positive predictive values were 69.2%, 76.9%, 73.3%, respectively. The negative predictive values were 73.3%, 80.0%, 84.6%, respectively. More importantly, the accuracy of the relative alpha variability combined with EEG reactivity for the prediction of poor prognosis was much higher with the positive predictive value of 90.0%,the specificity of 93.3%,the sensitivity of 69.2%, the consistency rate of 82.1%,and the negative predictive values of 77.8%. Conclusions The combination of relative alpha variability and EEG reactivityis reliable to predict clinical outcome of patients with HIE.
RÉSUMÉ
Objective To observe and evaluate the predictive value of electroencephalogram (EEG) abnormalities of the EEG monitoring of patients with brain dysfunction in the intensive care unit (ICU).Methods Total of 58 cases with brain dysfunction under EEG were collected from the ICU of the XiangYa Hospital,Central South University from January 2014 to December 2015.EEG was performed to monitor those patients and data was collected,analyzed and classified according to both Synek and Young EEG scales to evaluate its predictive value.The statistical analysis was performed with SPSS 23.0 software (MAC,USA) and statistical significant was considered as P ＜0.05.Numerical values were given as means ± SD and t-test was performed to compare data of different groups.Kaplan-Meier survival estimator was used to draw the survival curve,and the survival analysis was postulated by COX regression analysis.Results Data from 58 patients were collected and classified according to both Synek and Young EEG scales,positive waveforms as periodic discharge or delta-predominant background were found among 50 patients,electrographic seizures were found in 7 patients,patients with EEG abnormality possessed a high level of SI00β and showed statistical differences.The 28-day mortahty was independently associated with Acute Physiology and Chronic Health Evaluation (APACHE]] score) (OR:1.08;95％ CI [1.03 to 1.14])、Synek Grade ＞2 (OR:0.17;95％ CI [0.03 to 0.80])、electrographic seizures (OR:23.70;95％ CI [2.02 to 277.73]) and slow rhythm (OR:8.54;95％ CI [1.72 to 42.32]).Conclusions The 28-day mortality of patients under EEG with brain dysfunction was independently associated with Synek Grade ＞ 2,electrographic seizures and slow EEG rhythm.