Value of amplitude-integrated electroencephalogram combined with quantitative indices of cranial magnetic resonance imaging in predicting short-term neurodevelopment in moderately and late preterm infants: a prospective study
SHEN Lu, TAO Ming-Yu, SHI Yu-Xuan, YIN Jing, YIN Qi-Gai
Department of Neonatology, Lianyungang Hospital Affiliated to Xuzhou Medical University, Lianyungang, Jiangsu 222002, China (Yin Q-G, Email: yinqigai@njmu.edu.cn)
Abstract:Objective To study the association of amplitude-integrated electroencephalogram (aEEG) and the quantitative indices biparietal width (BPW) and interhemispheric distance (IHD) of cranial magnetic resonance imaging (cMRI) with short-term neurodevelopment in moderately and late preterm infants. Methods A total of 104 moderately and late preterm infants who were admitted to the neonatal intensive care unit from September 2018 to April 2020 were selected as the subjects for this prospective study. The Naqeeb method and sleep-wake cycling (SWC) were used for aEEG assessment within 72 hours after birth. cMRI was performed at the corrected gestational age of 37 weeks. BPW and IHD were measured at the T2 coronal position. At the corrected age of 6 months, the Developmental Screening Test for Child Under Six (DST) was used to follow up neurodevelopment. According to developmental quotient (DQ), the infants were divided into a normal DST group (78 infants with DQ≥85) and an abnormal DST group (26 infants with DQ<85). Related indices were compared between the two groups. The association between aEEG and cMRI was evaluated. Results Compared with the normal DST group, the abnormal DST group had significantly lower aEEG normal rate and SWC maturation rate (P<0.05), as well as a significantly larger IHD and a significantly smaller BPW (P<0.05). Immature SWC, aEEG abnormality, and a relatively large IHD were the risk factors for abnormal DST (P<0.05), and a relatively large BPW was a protective factor against abnormal DST (P<0.05). Conclusions For moderately and late preterm infants, aEEG within 72 hours after birth and the quantitative indices BPW and IHD of cMRI at the corrected gestational age of 37 weeks may affect their neurodevelopmental outcome at the corrected age of 6 months.
SHEN Lu,TAO Ming-Yu,SHI Yu-Xuan et al. Value of amplitude-integrated electroencephalogram combined with quantitative indices of cranial magnetic resonance imaging in predicting short-term neurodevelopment in moderately and late preterm infants: a prospective study[J]. CJCP, 2021, 23(10): 987-993.
Blencowe H, Cousens S, Oestergaard MZ, et al. National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications[J]. Lancet, 2012, 379(9832): 2162-2172. PMID: 22682464. DOI: 10.1016/S0140-6736(12)60820-4.
Johnson S, Waheed G, Manktelow BN, et al. Differentiating the preterm phenotype: distinct profiles of cognitive and behavioral development following late and moderately preterm birth[J]. J Pediatr, 2018, 193: 85-92.e1. PMID: 29254758. DOI: 10.1016/j.jpeds.2017.10.002.
Natarajan G, Shankaran S. Short- and long-term outcomes of moderate and late preterm infants[J]. Am J Perinatol, 2016, 33(3): 305-317. PMID: 26788789. DOI: 10.1055/s-0035-1571150.
Fogtmann EP, Plomgaard AM, Greisen G, et al. Prognostic accuracy of electroencephalograms in preterm infants: a systematic review[J]. Pediatrics, 2017, 139(2): e20161951. PMID: 28143915. DOI: 10.1542/peds.2016-1951.
Ralser E, Neubauer V, Pupp-Peglow U, et al. Amplitude-integrated electroencephalography can predict neurodevelopmental outcome at 12 months of corrected age in very preterm infants[J]. Acta Paediatr, 2017, 106(4): 594-600. PMID: 28109027. DOI: 10.1111/apa.13748.
Burger C, Hammerl M, Neubauer V, et al. Early preterm infants with abnormal psychomotor neurodevelopmental outcome at age two show alterations in amplitude-integrated electroencephalography signals[J]. Early Hum Dev, 2020, 141: 104935. PMID: 31835163. DOI: 10.1016/j.earlhumdev.2019.104935.
Kostovi? Srzenti? M, Ragu? M, Ozreti? D. Specific cognitive deficits in preschool age correlated with qualitative and quantitative MRI parameters in prematurely born children[J]. Pediatr Neonatol, 2020, 61(2): 160-167. PMID: 31607639. DOI: 10.1016/j.pedneo.2019.09.003.
Kelly CE, Thompson DK, Spittle AJ, et al. Regional brain volumes, microstructure and neurodevelopment in moderate-late preterm children[J]. Arch Dis Child Fetal Neonatal Ed, 2020, 105(6): 593-599. PMID: 32132139. DOI: 10.1136/archdischild-2019-317941.
Kidokoro H, Anderson PJ, Doyle LW, et al. Brain injury and altered brain growth in preterm infants: predictors and prognosis[J]. Pediatrics, 2014, 134(2): e444-e453. PMID: 25070300. DOI: 10.1542/peds.2013-2336.
Hüning B, Storbeck T, Bruns N, et al. Relationship between brain function (aEEG) and brain structure (MRI) and their predictive value for neurodevelopmental outcome of preterm infants[J]. Eur J Pediatr, 2018, 177(8): 1181-1189. PMID: 29789947. PMCID: PMC6061051. DOI: 10.1007/s00431-018-3166-2.
al Naqeeb N, Edwards AD, Cowan FM, et al. Assessment of neonatal encephalopathy by amplitude-integrated electroencephalography[J]. Pediatrics, 1999, 103(6 Pt 1): 1263-1271. PMID: 10353940. DOI: 10.1542/peds.103.6.1263.
Hellstr?m-Westas L, Rosén I. Continuous brain-function monitoring: state of the art in clinical practice[J]. Semin Fetal Neonatal Med, 2006, 11(6): 503-511. PMID: 17067863. DOI: 10.1016/j.siny.2006.07.011.
Burdjalov VF, Baumgart S, Spitzer AR. Cerebral function monitoring: a new scoring system for the evaluation of brain maturation in neonates[J]. Pediatrics, 2003, 112(4): 855-861. PMID: 14523177. DOI: 10.1542/peds.112.4.855.
El-Dib M, Massaro AN, Glass P, et al. Sleep wake cycling and neurodevelopmental outcome in very low birth weight infants[J]. J Matern Fetal Neonatal Med, 2014, 27(9): 892-897. PMID: 24044408. DOI: 10.3109/14767058.2013.845160.
Tich SNT, Anderson PJ, Hunt RW, et al. Neurodevelopmental and perinatal correlates of simple brain metrics in very preterm infants[J]. Arch Pediatr Adolesc Med, 2011, 165(3): 216-222. PMID: 21383271. DOI: 10.1001/archpediatrics.2011.9.
Dewan MV, Herrmann R, Schweiger B, et al. Are simple magnetic resonance imaging biomarkers predictive of neurodevelopmental outcome at two years in very preterm infants?[J]. Neonatology, 2019, 116(4): 331-340. PMID: 31454812. DOI: 10.1159/000501799.