1.The correlation analysis of amplitude-integrated electroencephalogram and magnetic resonance imaging in infants with hypoxic-ischemic encephalopathy
Chinese Journal of Postgraduates of Medicine 2015;38(8):580-583
Objective To investigate the correlation analysis of amplitude-integrated electroencephalogram (aEEG) and magnetic resonance imaging (MRI) in infants with hypoxic-ischemic encephalopathy (HIE) to early evaluate the severity of HIE.Methods Ninety term infants with HIE were selected.They were detected by aEEG within 12 hours after birth,and accepted cranial MRI 3 to 7 days after birth.The infants were divided into 3 groups (aEEG normal,mild abnormality and severe abnormality) according to the result of aEEG.The Spearman correlation analysis was completed in infants with HIE between aEEG clinical grading and cranial MRI grading.Results In 90 infants with HIE,the clinical grading:mild HIE 44 cases (48.9%),midrange HiE 29 cases (32.2%) and severe HIE 17 cases (18.9%).Cranial MRI grading:mild 49 cases (54.4%),midrange 23 cases (25.6%) and severe 18 cases (20.0%).The result of aEEG:aEEG normal 43 cases (47.8%),aEEG mild abnormality 25 cases (27.8%) and aEEG sever abnormality 22 cases (24.4%).The result of correlation analysis showed that aEEG grading was positive correlation with the HIE clinical grading (r =0.970 7,P < 0.01) and MRI grading (r=0.933 5,P < 0.01).Conclusion The aEEG can early evaluate the severity of HIE.
2.The early diagnostic and prognostic value of amplitude integrated electroencephalography in neonates with hy-poxic-ischemic encephalopathy
Xiqun JIA ; Cuiqing LIU ; Yaofang XIA ; Li MA
Chinese Journal of Applied Clinical Pediatrics 2015;(14):1102-1105
Objective To investigate the early diagnostic and the prognostic value of amplitude integrated e-lectroencephalography(aEEG)in neonates with hypoxic - ischemic encephalopathy( HIE). Methods The medical data subjects were admitted to the Department of Neonatology,Children's Hospital of Hebei Province from January 2012 to December 2013. Ninety term infants with HIE were divided into 3 groups(mild,moderate and severe),and they were investigated respectively by aEEG monitoring within 12 hours after birth,and all of the infants accepted cranial magnetic resonance imaging(MRI)on 3 to 7 days after birth. The outcomes by MRI were divided into 3 groups(mildly abnor-mal,moderately abnormal and severely abnormal). The findings of aEEG monitoring were divided into 3 groups(nor-mal,mildly abnormal and severely abnormal),the correlation between the findings of aEEG and the severity of HIE was analyzed. The correlation between the results of aEEG and severity of MRI were analyzed. Behavior evaluation of infants with HIE were applied by Neonatal Behavioral Neurological Assessment(NBNA)score on 7 d,14 d,28 d after birth and prognostic evaluation of children with HIE was conducted based on Children's Development Center of China infants intelligence development test at 12 months of age. Results (1)Among 90 term infants with HIE,44 cases(48. 9% ) had mild HIE,29 cases(32. 2% )moderate and 17 cases(18. 9% )severe HIE;49 cases(54. 4% )had mildly ab-normal MRI,23 cases(25. 6% )moderately abnormal MRI and 18 cases(20. 0% )severely abnormal MRI;43 cases (47. 8% )had normal aEEG,25 cases(27. 8% )mildly abnormal and 22 cases(24. 4% )severely abnormal aEEG. (2)The findings of aEEG classification were correlated with the severity of HIE(r = 0. 970 7,P ﹤ 0. 001). The findings of aEEG classification were correlated with the severity of MRI(r = 0. 933 5,P ﹤ 0. 001).(3)NBNA score with severe-ly abnormal aEEG was obviously lower than that with the mildly abnormal aEEG. NBNA score on 7 d after birth:(14. 1 ± 4. 2)scores vs(32. 2 ± 2. 3)scores,on 14 d after birth:(17. 8 ± 5. 6)scores vs(33. 4 ± 2. 1)scores,on 28 d after birth:(18. 9 ± 8. 4)scores vs(34. 6 ± 2. 6)scores,and the difference was statistically significant(all P ﹤0. 05).(4)The infants with HIE were followed at 12 months of age. The development quotient mental development in-dex(MDI)and psychomotor development index(PDI)with severely abnormal aEEG were obviously lower than that with the mildly abnormal aEEG[MDI(65. 1 ± 4. 1)scores vs(89. 1 ± 6. 7)scores,PDI(67. 5 ± 10. 1)scores vs(90. 7 ± 8. 3)scores],the difference was statistically significant(all P ﹤ 0. 05). Conclusion It is indicated that aEEG can early evaluate the severity of HIE and help predict its neurological outcome.