RESUMO
Objective To explore the value of amplitude integrated electroencephalography ( aEEG) in diagnosis and prognosis in neonates with acute hypoglycemic brain injury. Methods A total of 47 cases of neonatal hypoglycemic brain injury were prospectively enrolled in the study from January 2011 to July 2015. The aEEG traces were classified according to background activity ( normal,moderate,or severely abnormal) , presence of seizures and sleep-wake cycling ( SWC) . The neuromotor development of survivors with neonatal hypoglycemic brain injury was assessed by using the 0-6 years old children′s neurological and psychological development scale of China Capital Institute of Pediatrics. Clinical data were collected and compared with the result of aEEG. Results The characteristic of aEEG tracings in 47 infants showed continuous normal voltage (CNV)(n=9),discontinuous voltage(DC)(n=29),continuous low voltage(CLV)(n=3),burst-suppres-sion(BS)(n=6);mature sleep-wake cycling(SWC)(n=9),immature SWC(n=17),no SWC (n=21);39 infants(83. 0%) had electrical seizures:single seizure(n=11),repetitive seizures(n=20),and status ep-ilepticus (SE)(n=8). aEEG of 23 infants who had poor outcome showed CLV(n=3),BS/SE(n=4),BS/repetitive seizures( n =2 ) , DC/SE ( n =4 ) , DC/repetitive seizures ( n =10 ) . By chi-square analysis and Spearman rank correlation analysis,the results of aEEG classification,background pattern and SWC were cor-related with outcome of these infants with hypoglycemic brain injury. Conclusion Amplitude integrated electroencephalography can provide important information of the status of cerebral function in neonates with acute hypoglycemic brain injury and help to predict their outcome.
RESUMO
Objective To explore the value of amplitude integrated electroencephalography ( aEEG) in diagnosis and prognosis in neonates with acute hypoglycemic brain injury. Methods A total of 47 cases of neonatal hypoglycemic brain injury were prospectively enrolled in the study from January 2011 to July 2015. The aEEG traces were classified according to background activity ( normal,moderate,or severely abnormal) , presence of seizures and sleep-wake cycling ( SWC) . The neuromotor development of survivors with neonatal hypoglycemic brain injury was assessed by using the 0-6 years old children′s neurological and psychological development scale of China Capital Institute of Pediatrics. Clinical data were collected and compared with the result of aEEG. Results The characteristic of aEEG tracings in 47 infants showed continuous normal voltage (CNV)(n=9),discontinuous voltage(DC)(n=29),continuous low voltage(CLV)(n=3),burst-suppres-sion(BS)(n=6);mature sleep-wake cycling(SWC)(n=9),immature SWC(n=17),no SWC (n=21);39 infants(83. 0%) had electrical seizures:single seizure(n=11),repetitive seizures(n=20),and status ep-ilepticus (SE)(n=8). aEEG of 23 infants who had poor outcome showed CLV(n=3),BS/SE(n=4),BS/repetitive seizures( n =2 ) , DC/SE ( n =4 ) , DC/repetitive seizures ( n =10 ) . By chi-square analysis and Spearman rank correlation analysis,the results of aEEG classification,background pattern and SWC were cor-related with outcome of these infants with hypoglycemic brain injury. Conclusion Amplitude integrated electroencephalography can provide important information of the status of cerebral function in neonates with acute hypoglycemic brain injury and help to predict their outcome.