Liu Qian, Wang Yong-Qin, Zhang Yong-Feng, Zhao Yue-Hua, Zhu Hai-Ling, Sun Rui-Rui, Liu Pei-Li, Liu Xiao-Xiao, Li Jin-Jie
Teaching and Research Section of Pediatrics, Weifang Medical University, Weifang, Shangdong 261042, China.
Zhongguo Dang Dai Er Ke Za Zhi. 2015 May;17(5):435-9.
To study the diagnostic value and influencing factors for amplitude-integrated EEG (aEEG) in brain injury in preterm infants.
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.
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).
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.
探讨振幅整合脑电图（aEEG）对早产儿脑损伤的诊断价值及影响因素。
选取116例胎龄在27周与36⁺⁶周之间的早产儿作为研究对象。所有早产儿均在出生后6小时内进行aEEG评分。根据诊断结果，将116例早产儿分为两组：脑损伤组（n = 63）和非脑损伤组（n = 53）。采用logistic回归分析评估脑损伤的危险因素。根据aEEG结果，将116例早产儿分为两组：aEEG正常组（n = 58）和aEEG异常组（n = 58）。采用单因素分析确定早产儿aEEG结果的影响因素。
脑损伤组aEEG异常率显著高于非脑损伤组（83% 对11%；P < 0.05）。脑损伤组中两个不同胎龄亚组（27 - 33⁺⁶周和34 - 36⁺⁶周）的婴儿aEEG评分显著低于相应胎龄亚组的非脑损伤组（P < 0.01）。logistic回归分析显示，低胎龄（< 32周）、低出生体重（< 1500 g）、胎盘、胎膜和脐带异常以及孕期高血压是脑损伤的高危因素（P < 0.05）。aEEG正常组和异常组在胎龄、出生体重、胎盘、胎膜和脐带异常以及孕期高血压方面存在显著差异（P < 0.05）。
早产儿脑损伤的危险因素与aEEG结果的影响因素一致，提示aEEG有助于脑损伤的早期诊断。
