振幅整合脑电图联合头颅磁共振定量指标对中晚期早产儿近期神经发育预测价值的前瞻性研究

申璐, 陶名玉, 史雨璇, 尹静, 殷其改

中国当代儿科杂志 ›› 2021, Vol. 23 ›› Issue (10) : 987-993.

PDF(841 KB)
HTML
PDF(841 KB)
HTML
中国当代儿科杂志 ›› 2021, Vol. 23 ›› Issue (10) : 987-993. DOI: 10.7499/j.issn.1008-8830.2106077
论著·临床研究

振幅整合脑电图联合头颅磁共振定量指标对中晚期早产儿近期神经发育预测价值的前瞻性研究

  • 申璐, 陶名玉, 史雨璇, 尹静, 殷其改
作者信息 +

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
Author information +
文章历史 +

摘要

目的 探讨振幅整合脑电图(amplitude-integrated electroencephalogram,aEEG)、头颅磁共振成像(cranial magnetic resonance imaging,cMRI)的定量指标双顶径(biparietal width,BPW)、两半球间距(interhemispheric distance,IHD)与中晚期早产儿近期神经发育的关系。 方法 前瞻性选择2018年9月至2020年4月入住新生儿重症监护病房的104例中晚期早产儿为研究对象,在生后72 h内采用Naqeeb法及睡眠-觉醒周期(sleep-wake cycling,SWC)进行aEEG评估;在矫正胎龄37周时完成cMRI检查,并在T2冠状位测量BPW和IHD;矫正月龄6月龄时采用0~6岁儿童发育筛查测验(Developmental Screening Test for Child Under Six,DST)随访神经发育,并根据发育商(development quotient,DQ)分为DST正常组(≥85分,78例)和DST异常组(DQ<85分,26例),分析比较两组间各指标差异,以及aEEG和cMRI的关系。 结果 DST异常组aEEG正常率、SWC成熟率低于DST正常组(P<0.05);与DST正常组相比,DST异常组的IHD偏大、BPW偏小(P<0.05)。不成熟的SWC、aEEG异常、较大的IHD是DST异常的危险因素(P<0.05),较大的BPW是DST异常的保护因素(P<0.05)。 结论 中晚期早产儿生后72 h内的aEEG、矫正胎龄37周时cMRI定量指标BPW和IHD可能影响其矫正月龄6月龄时的神经发育结局。

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.

关键词

振幅整合脑电图 / 磁共振成像 / 神经发育结局 / 早产儿

Key words

Amplitude-integrated electroencephalogram / Magnetic resonance imaging / Neurodevelopmental outcome / Preterm infant

引用本文

导出引用
申璐, 陶名玉, 史雨璇, 尹静, 殷其改. 振幅整合脑电图联合头颅磁共振定量指标对中晚期早产儿近期神经发育预测价值的前瞻性研究[J]. 中国当代儿科杂志. 2021, 23(10): 987-993 https://doi.org/10.7499/j.issn.1008-8830.2106077
SHEN Lu, TAO Ming-Yu, SHI Yu-Xuan, YIN Jing, YIN Qi-Gai. 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]. Chinese Journal of Contemporary Pediatrics. 2021, 23(10): 987-993 https://doi.org/10.7499/j.issn.1008-8830.2106077

参考文献

1 Han W, Song JA, Liu AQ, et al. Trends in live births in the past 20 years in Zhengzhou, China[J]. Acta Obstet Gynecol Scand, 2011, 90(4): 332-337. PMID: 21306327. DOI: 10.1111/j.1600-0412.2010.01065.x.
2 Kinney MV, Lawn JE, Howson CP, et al. 15 million preterm births annually: what has changed this year?[J]. Reprod Health, 2012, 9: 28. PMID: 23148557. PMCID: PMC3546852. DOI: 10.1186/1742-4755-9-28.
3 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.
4 魏克伦, 杨于嘉, 姚裕家, 等. 中国城市早产儿流行病学初步调查报告[J]. 中国当代儿科杂志, 2005, 7(1): 25-28. DOI: 10.3969/j.issn.1008-8830.2005.01.006.
5 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.
6 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.
7 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.
8 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.
9 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.
10 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.
11 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.
12 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.
13 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.
14 中华医学会儿科学分会新生儿学组, 《中华儿科杂志》编辑委员会. 新生儿高胆红素血症诊断和治疗专家共识[J]. 中华儿科杂志, 2014, 52(10): 745-748. PMID: 25537539. DOI: 10.3760/cma.j.issn.0578-1310.2014.10.006.
15 邵肖梅, 叶鸿瑁, 丘小汕. 实用新生儿学[M]. 4版. 北京: 人民卫生出版社, 2011.
16 徐丛剑, 华克勤. 实用妇产科学[M]. 4版. 北京: 人民卫生出版社, 2018.
17 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.
18 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.
19 邹小兵, 静进. 发育行为儿科学[M]. 北京: 人民卫生出版社, 2005.
20 苏亭娟, 于伟平, 邓文君, 等. 扬州市5635例婴幼儿智能发育水平调查[J]. 中国儿童保健杂志, 2012, 20(4): 374-376.
21 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.
22 Wikstr?m S, Pupp IH, Rosén I, et al. Early single-channel aEEG/EEG predicts outcome in very preterm infants[J]. Acta Paediatr, 2012, 101(7): 719-726. PMID: 22530996. PMCID: PMC3437495. DOI: 10.1111/j.1651-2227.2012.02677.x.
23 El Ters NM, Vesoulis ZA, Liao SM, et al. Term-equivalent functional brain maturational measures predict neurodevelopmental outcomes in premature infants[J]. Early Hum Dev, 2018, 119: 68-72. PMID: 29579560. PMCID: PMC6190680. DOI: 10.1016/j.earlhumdev.2018.02.010.
24 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.
25 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.
26 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.

PDF(841 KB)
HTML

Accesses

Citation

Detail

段落导航
相关文章

/