Xiao Yuan1, Wenqing Kang2, Juan Song1, Jing Guo2, Lanlan Guo1, Ruili Zhang1, Shasha Liu1, Yaodong Zhang2, Dapeng Liu2, Yong Wang1, Xue Ding1, Huimin Dong1, Xi Chen1, Yanchao Cheng1, Xiaoli Zhang1, Falin Xu1, Changlian Zhu1,3,4. 1. Henan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China. 2. Neonatal Intensive Care Unit, Zhengzhou Key Laboratory of Newborn Disease Research, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China. 3. Center for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg University, Gothenburg, 40530, Sweden. 4. Department of Women's and Children's Health, Karolinska Institutet, Stockholm, 2995, Sweden.
Abstract
OBJECTIVE: To determine the efficacy and the prognostic value of amplitude-integrated electroencephalography (aEEG) in term and near-term neonates with high risk of neurological sequelae. METHODS: Infants of ≥35 weeks of gestation diagnosed with neonatal encephalopathy or with high risk of brain injury were included. All eligible infants underwent aEEG within 6 h after clinical assessment. The infants were followed up 12 months to evaluate neurological development. RESULTS: A total of 250 infants were eligible, of which 85 had normal aEEG, 81 had mildly abnormal aEEG, and 84 had severely abnormal aEEG. Of these infants, 168 were diagnosed with different neonatal encephalopathies, 27 with congenital or metabolic diseases, and 55 with high risk of brain injury. In all, 22 infants died, 19 were lost to follow-up, and 209 completed the follow-up at 12 months, of which 62 were diagnosed with a neurological disability. Statistical analysis showed that severely abnormal aEEG predicted adverse neurological outcome with a sensitivity of 70.2%, a specificity of 87.1%, a positive predictive value of 75.6%, and a negative predictive value of 83.7%. INTERPRETATION: aEEG can predict adverse outcomes in high-risk neonates and is a useful method for monitoring neonates with high risk of adverse neurological outcomes.
OBJECTIVE: To determine the efficacy and the prognostic value of amplitude-integrated electroencephalography (aEEG) in term and near-term neonates with high risk of neurological sequelae. METHODS:Infants of ≥35 weeks of gestation diagnosed with neonatal encephalopathy or with high risk of brain injury were included. All eligible infants underwent aEEG within 6 h after clinical assessment. The infants were followed up 12 months to evaluate neurological development. RESULTS: A total of 250 infants were eligible, of which 85 had normal aEEG, 81 had mildly abnormal aEEG, and 84 had severely abnormal aEEG. Of these infants, 168 were diagnosed with different neonatal encephalopathies, 27 with congenital or metabolic diseases, and 55 with high risk of brain injury. In all, 22 infants died, 19 were lost to follow-up, and 209 completed the follow-up at 12 months, of which 62 were diagnosed with a neurological disability. Statistical analysis showed that severely abnormal aEEG predicted adverse neurological outcome with a sensitivity of 70.2%, a specificity of 87.1%, a positive predictive value of 75.6%, and a negative predictive value of 83.7%. INTERPRETATION:aEEG can predict adverse outcomes in high-risk neonates and is a useful method for monitoring neonates with high risk of adverse neurological outcomes.
Authors: Nathalie H P Claessens; Lotte Noorlag; Lauren C Weeke; Mona C Toet; Johannes M P J Breur; Selma O Algra; Antonius N J Schouten; Felix Haas; Floris Groenendaal; Manon J N L Benders; Nicolaas J G Jansen; Linda S de Vries Journal: J Pediatr Date: 2018-08-22 Impact factor: 4.406
Authors: Susan E Jacobs; Marie Berg; Rod Hunt; William O Tarnow-Mordi; Terrie E Inder; Peter G Davis Journal: Cochrane Database Syst Rev Date: 2013-01-31
Authors: Paulina A Toso; Alvaro J González; María E Pérez; Javier Kattan; Jorge G Fabres; José L Tapia; Hernán S González Journal: J Pediatr (Rio J) Date: 2013-10-30 Impact factor: 2.197