Amplitude-integrated electroencephalogram combined with cranial magnetic resonance imaging for diagnosis of brain injury and prediction on neurobehavioral development in premature infants with asphyxiation / 中华行为医学与脑科学杂志

ABSTRACT

Objective:To study the predictive value of the amplitude-integrated electroencephalography (aEEG) within 6 hours and 3 days after birth and magnetic resonance imaging(MRI) on the adverse neurobehavioral development of asphyxiated preterm infants at the correction age of 6 months.Methods:From December 2017 to June 2019, 50 asphyxiated preterm infants who were delivered at the obstetrical department transferred to the division of neonatology in the Third Affiliated Hospital of Anhui Medical University were monitored by aEEG within 6 hours after birth, then once a day for at least 4 h. MRI was administered at 40 weeks of corrected age, neuromotor developmental function of the infants was assessed by the Geisel developmental diagnostic scale at 6 months of corrected age, then the infants were divided into good prognosis group and poor prognosis group according to the assessment results. SPSS 19.0 software was used for statistical analysis.The software of SPSS 19.0 was used to analyze the data.Independent sample t-test and χ 2 test were used to analyze the difference between the two groups.The relationship between aEEG grading and MRI, and their predictive value for adverse neurobehavioral development were analyzed at 6 months of corrected age. Results:The degree of white matter damage( H=24.896) and intracranical hemorrhage( H=29.245) of premature infants with different aEEG clinical grades were different (both P<0.01) on MRI. The sensitivity of aEEG within 6 hours and 3 days after birth on predicting poor prognosis was 96.2% and 97.8%, the specificity was 56.2% and 62.5%, the negative predictive value was 98.2% and 99.0%, the positive predictive value was 37.8% and 52.3%, the correct index was 52.4% and 60.3%, respectively. The aEEG was combined with MRI, the sensitivity (90.0%, 97.0%), specificity (89.0%, 99.0%), negative predictive value (99.2%, 99.5%), positive predictive value (80.6%, 88.5%), and correct index (79%, 96%) were all improved. Conclusion:The combination of aEEG grading and MRI can improve the prognostic value on neurodevelopmental prognosis, and provide a better evaluation basis for clinical follow-up and intervention of asphyxiated premature infants with brain injury.