The Prognostic Value of Early Amplitude-Integrated Electroencephalography Monitoring After Pediatric Cardiac Arrest.

OBJECTIVES: To assess the ability of amplitude-integrated electroencephalography monitoring within 24 hours of the return of spontaneous circulation to prognosticate neurologic outcomes in children following cardiac arrest DESIGN:: Retrospective review of prospectively recorded data. An amplitude-integrated electroencephalography background score was calculated according to background activity during the first 24 hours after return of spontaneous circulation, a higher score correlating with more impaired background activity. The primary endpoint was the neurologic outcome as defined by the Pediatric Cerebral Performance Category at PICU discharge (Pediatric Cerebral Performance Category 1-3: a good neurologic outcome; Pediatric Cerebral Performance Category 4-6: a poor neurologic outcome). SETTING: A referral PICU. PATIENTS: Thirty children with a median age of 10 months (2-38 mo) and a male/female sex ratio of 1.3 were included. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Eighteen patients were assigned to the favorable outcome group and 12 to the unfavorable outcome group. The median time between return of spontaneous circulation and amplitude-integrated electroencephalography initiation was 4 hours (3-9 hr). The amplitude-integrated electroencephalography score within 24 hours after return of spontaneous circulation was significantly higher in the children with poor outcomes compared with those with good outcomes (12 ± 4 vs 25 ± 8; p < 0.001). Background activity during amplitude-integrated electroencephalography monitoring was able to predict poor neurologic outcomes at PICU discharge, with an area under the receiver operating characteristic curve of 0.91 (95% CI, 0.81-1.00). CONCLUSIONS: Early amplitude-integrated electroencephalography monitoring may help predict poor neurologic outcomes in children within 24 hours following cardiac arrest.

Interrater Agreement Between Critical Care Providers for Background Classification and Seizure Detection After Implementation of Amplitude-Integrated Electroencephalography in Neonates, Infants, and Children.

PURPOSES: Amplitude-integrated EEG (aEEG) has been widely developed in neonatal intensive care unit, but few studies focused on pediatric intensive care unit. Furthermore, reliability of aEEG under real-life conditions is unknown. METHODS: Participants were nurses from a 12-bed pediatric intensive care unit in a referral university hospital in France. Amplitude EEG was implemented after standardized training, including e-learning course, individual feedback and bedside teaching concerning monitoring installation, background classification patterns recognition, artefact analysis, and seizure detection. The primary judgment criterion was the agreement (Cohen Kappa) between nurses and aEEG experts for the detection of abnormal aEEG traces (moderately or severely altered background pattern according to Hellström-Westas classification and/or seizure activity). RESULTS: During the study period, 196 consecutives traces from 79 patients were analyzed by 51 nurses. According to expert's classification, 53% of traces were abnormal, including 17.5% of severely abnormal traces (severely altered traces and/or seizure activity) and 14% exhibiting seizure activity. Moderate agreement between experts and nurses was found for detection of any abnormal trace (k = 0.53; 95% confidence interval [CI]: 0.39-0.67). Substantial agreement was found for severely altered traces (k = 0.71; 95% CI: 0.57-0.85). Finally, fair agreement was found for seizure detection (irrespective of background classification, k = 0.40; 95% CI: 0.25-0.54). CONCLUSIONS: These results suggest that aEEG monitoring may be implemented in routine nursing care in pediatric intensive care unit. Further training courses are needed to enhance nurses' skill in detecting seizures activity at the bedside.