Correlations between video eletroencephalography monitoring and neuro-prognosis of preterm infants
ZHENG Xia, FANG Fang, HEI Mingyan, LI Hua, DONG Shixiao, and JIN Fei.Neonatal Center, Beijing Children’s Hospital, Capital Medical University, Beijing 100045, China
ZHENG Xia, FANG Fang, HEI Mingyan, LI Hua, DONG Shixiao, and JIN Fei.Neonatal Center, Beijing Children’s Hospital, Capital Medical University, Beijing 100045, China
Abstract:Objective To explore the value of video electroencephalogram (VEEG) monitoring of premature infants of different gestational age in early diagnosis of the preterm neonatal nervous system.Methods In this prospective study, data on infants who were hospitalized in the NICU Department of Beijing Children’s Hospital between December 2016 and October 2017 was collected. These patients were followed up in the Department of Neonatology and Neuro-rehabilitation Center after being discharged from the hospital. General information of the patients was collected. VEEG examination was conducted at such time points as 1 week after birth, CA 40 w, CA 44 w, and CA 52 w. During their hospital stay, cranial ultrasound was conducted weekly. Gesell Developmental Scale was used for developmental evaluation of each patient at CA 52 w. DQ value was used. The relevance between VEEG and DQ values, respectively, was analyzed using χ2 test. The relevance between birth gestational age, body weight at birth, disease category, length of hospital stay, application status of touching in the family, and DQ values was analyzed using linear regression.Results VEEG examination results at 1 week after birth, CA 40 w, and CA 52 w were highly relevant to Gesell Developmental Scale, especially at CA 40 w, with p values of 0.004, 0.000 and 0.017 respectively. The p value of each factor was greater than 0.05.Conclusions This study suggests that early VEEG examination can help predict premature situation and development of the nervous system for children. Early intervention with high-risk infants will reduce brain injury of premature infants.
郑侠, 方方, 黑明燕, 李华, 董世霄, 靳绯. 视频脑电图在早产儿神经系统发育中的评估应用[J]. 武警医学, 2020, 31(1): 51-54.
ZHENG Xia, FANG Fang, HEI Mingyan, LI Hua, DONG Shixiao, and JIN Fei.Neonatal Center, Beijing Children’s Hospital, Capital Medical University, Beijing 100045, China. Correlations between video eletroencephalography monitoring and neuro-prognosis of preterm infants. Med. J. Chin. Peop. Armed Poli. Forc., 2020, 31(1): 51-54.
Groenendaal F, Termote J U, Heide J M, et al. Complications affecting preterm neonates from 191 to 2006: what have we gained?[J]. Acta paediatr,2010,99(3):354-358.
[2]
Rubens C E, Sadovsky Y, Muglia L, et al. Prevention of preterm birth: harnessing science to address the global epidemic [J]. Sci Transl Med, 2014,6(262): 262-265.
HellstrmW L,Rosén I.Electroencephalography and brain damage in preterm infants[J].Early Hum Dev,2005,81(3):255-261.
[8]
Perivier M,Roze J C,Gascoin G,et al.Neonatal EEG and neurodevelopmental outcome in preterm infants born before 32 weeks[J].Arch Dis Child Fetal Neonatal Ed,2016,101(3): 253-259.
[9]
Lloyd R O,O’toole J M,Livingstone V,et al.Predicting 2-y outcome in preterm infants using early multimodal physiological monitoring[J].Pediatr Res,2016,80(3):382-388.
[10]
Lefebvre F,Mazurier E,Tessier R.Cognitive and educational outcomes in early adulthood for infants weighing 1 000 grams or less at birth[J].Acta Paediatr,2005,94(6):733-740.