Štuikienė Kristina, Griesmaier Elke, Aldakauskienė Ilona, Garčinskienė Jurgita, Paškauskė Marija, Šmigelskas Kastytis, Rimdeikienė Inesa, Marmienė Vitalija, Tamelienė Rasa
Department of Neonatology, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Department of Pediatrics II, Medical University of Innsbruck, 6020 Innsbruck, Austria.
Children (Basel). 2024 Aug 13;11(8):979. doi: 10.3390/children11080979.
In clinical practice, it is crucial to identify diagnostic methods that can forecast the neurodevelopmental outcomes of very preterm neonates. Our study aimed to assess the predictive significance of amplitude-integrated electroencephalography (aEEG) for the neurodevelopmental outcomes of preterm infants at 12 months corrected age and to establish the cut-off score that could indicate potential neurodevelopmental impairments.
Preterm neonates born before 32 weeks of gestational age between June 2020 and July 2022 were included in a prospective manner. Amplitude-integrated electroencephalography recordings were conducted at five age intervals (days 1-3; first, second, third and fourth weeks). Recordings were analyzed using the Burdjalov scoring system. The neurodevelopment assessment with Bayley Scales of Infant Development-Second Edition was carried out at 12 months corrected age.
A total of 140 newborns were included in the study. Neurodevelopment was assessed in 108 infants at 12 months corrected age. Higher total aEEG Burdjalov scores were observed in groups with normal cognitive and motor development. The most sensitive and specific score for prediction of cognitive impairment in 12 months corrected age was an aEEG evaluation of 5.5 according to Burdjalov score within the first three days. The most sensitive and specific score for prediction of motor impairment was 8.5 within the first week.
According to our research there is currently not enough data to accurately foresee the development of newborns at 12 months corrected age according to early aEEG test results. However, conducting a research with bigger sample size and repeated evaluations at a later age might increase the prognostic value of aEEG. In this study cut-off scores of aEEG performed early in life to predict later neurodevelopment outcomes were determined.
在临床实践中，识别能够预测极早产儿神经发育结局的诊断方法至关重要。我们的研究旨在评估振幅整合脑电图（aEEG）对矫正年龄12个月的早产儿神经发育结局的预测意义，并确定能够提示潜在神经发育损害的临界分数。
前瞻性纳入2020年6月至2022年7月期间出生的孕周小于32周的早产儿。在五个年龄阶段（第1 - 3天；第一、第二、第三和第四周）进行振幅整合脑电图记录。使用Burdjalov评分系统对记录进行分析。在矫正年龄12个月时采用贝利婴幼儿发展量表第二版进行神经发育评估。
本研究共纳入140例新生儿。对108例矫正年龄12个月的婴儿进行了神经发育评估。认知和运动发育正常的组中观察到较高的aEEG总Burdjalov评分。矫正年龄12个月时预测认知损害最敏感和特异的分数是出生后前三天根据Burdjalov评分进行的aEEG评估为5.5。预测运动损害最敏感和特异的分数是第一周内为8.5。
根据我们的研究，目前尚无足够数据根据早期aEEG检测结果准确预测矫正年龄12个月时新生儿的发育情况。然而，进行更大样本量的研究以及在更晚年龄进行重复评估可能会提高aEEG的预后价值。本研究确定了生命早期进行的aEEG预测后期神经发育结局的临界分数。
