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Published on: September 6, 2017
[Diagnostic value and influencing factors for amplitude-integrated EEG in brain injury in preterm infants]
Qian Liu1, Yong-Qin Wang, Yong-Feng Zhang
1Teaching and Research Section of Pediatrics, Weifang Medical University, Weifang, Shangdong 261042, China. weifangwyq@aliyun.com.
Insights
Amplitude-integrated electroencephalography (aEEG) effectively aids in the early diagnosis of brain injury in preterm infants. Abnormal aEEG patterns correlate with brain injury and are influenced by factors like low gestational age and birth weight.
Area of Science:
- Neonatal Neurology
- Neurophysiology
Objective:
To study the diagnostic value and influencing factors for amplitude-integrated EEG (aEEG) in brain injury in preterm infants.
Methods:
One hundred and sixteen preterm infants with a gestational age (GA) between 27 weeks and 36(+6) weeks were enrolled as subjects. The aEEG scores of all preterm infants were obtained within 6 hours after birth. According to the diagnostic results, the 116 preterm infants were divided into two groups: brain injury (n=63) and non-brain injury (n=53). The risk factors for brain injury were evaluated using logistic regression analysis. According to the aEEG results, the 116 preterm infants were divided into two groups: normal aEEG (n=58) and abnormal aEEG (n=58). The influencing factors for aEEG results in preterm infants were determined using univariate analysis.
Results:
The brain injury group had a significantly higher rate of abnormal aEEG than the non-brain injury group (83% vs 11%; P<0.05). The infants in the brain injury group from two different GA subgroups (27-33(+6) weeks and 34-36(+6) weeks) had significantly lower aEEG scores than the non-brain injury group from corresponding GA subgroups (P<0.01). Logistic regression analysis showed that low GA (<32 weeks), low birth weight (<1 500 g), abnormal placenta, fetal membranes, and umbilical cord, and hypertension during pregnancy were high-risk factors for brain injury (P<0.05). There were significant differences in GA, birth weight, abnormal placenta, fetal membranes, and umbilical cord, and hypertension during pregnancy between the normal and abnormal aEEG groups (P<0.05).
Conclusions:
The risk factors for brain injury are consistent with the influencing factors for aEEG results in preterm infants, suggesting that aEEG contributes to the early diagnosis of brain injury.
