Dataset Information

Assessment of neonatal EEG background and neurodevelopment in full-term small for their gestational age infants.

ABSTRACT:

Background

Delayed brain function development in small-gestational-age (SGA) infants has been reported. We aimed to quantify rates of immature neonatal EEG patterns and their association with neurodevelopment in SGA full-term neonates.

Methods

Using a cohort design, 50 SGA (birthweight <10th percentile) and 44 appropriate-gestational-age (AGA) term neonates underwent continuous video-EEG recordings lasting >3?h. Seventy-three of them were assessed at 2-years-old using Bayley-III-Scales. For EEG analysis, several segments of discontinuous/alternating EEG tracings were selected.

Main outcomes measured

(1) Visual analysis (patterns of EEG maturity); (2) Power spectrum in ?, ?, ? and ? frequency bands; and (3) scores in motor, cognitive and language development.

Results

(1) SGA infants, compared to AGA, showed: (a) higher percentages of discontinuous EEG, both asynchrony and interhemispheric asymmetry, and bursts with delta-brushes, longer interburst-interval duration and more transients/hour; (b) lower relative power spectrum in ? and higher in ?; and (c) lower scores on motor, language and cognitive neurodevelopment. (2) Asymmetry >5%, interburst-interval >5?s, discontinuity >11%, and bursts with delta-brushes >11% were associated with lower scores on Bayley-III.

Conclusions

In this prospective study, SGA full-term neonates showed high rates of immature EEG patterns. Low-birthweight and immaturity EEG were both correlated with low development scores.

SUBMITTER: Castro Conde JR

PROVIDER: S-EPMC7326702 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Publications

Assessment of neonatal EEG background and neurodevelopment in full-term small for their gestational age infants.

Castro Conde José R JR González Campo Candelaria C González González Nieves L NL Reyes Millán Beatriz B González Barrios Desiré D Jiménez Sosa Alejandro A Quintero Fuentes Itziar I

Pediatric research 20191210 1

<h4>Background</h4>Delayed brain function development in small-gestational-age (SGA) infants has been reported. We aimed to quantify rates of immature neonatal EEG patterns and their association with neurodevelopment in SGA full-term neonates.<h4>Methods</h4>Using a cohort design, 50 SGA (birthweight <10th percentile) and 44 appropriate-gestational-age (AGA) term neonates underwent continuous video-EEG recordings lasting >3 h. Seventy-three of them were assessed at 2-years-old using Bayley-III-S ...[more]

PMID: 31822017

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Project description:To investigate the potential risk factors for small-for-gestational-age (SGA) and appropriate-for-gestational-age (AGA) late-term infants, 100 cases of single full-term SGA infants delivered in the Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University in 2017 were enrolled as the SGA group. A total of 100 healthy AGA who were born at the same time with the same gestational age were randomly included as the control group. The perinatal and postpartum adverse conditions of the two groups were recorded, and Apgar tests were performed on all newborns at 1 min (T1), 5 min (T2) and 10 min (T3) after birth. A follow-up survey was conducted in all patients at 6 and 12 months of age. At the second follow-up, the development quotient of the children was measured using the Gesell Developmental Schedule, and the perinatal risk factors of SGA were analyzed. The incidence of intrauterine distress, respiratory distress syndrome and infectious disease in the SGA group was significantly higher compared with that in the AGA group (P<0.05). The Apgar scores at T1, T2 and T3 were significantly lower in the SGA group compared with the AGA group (P<0.05). The Apgar score at T1 was lower compared with that at T2 in the SGA group (P<0.05), and the Apgar score at T2 was lower compared with that at T3 (P<0.05). The length of hospital stay in the SGA group was significantly longer compared with that in the AGA group (P<0.05). The development quotient at the 6 and 12th month in the SGA group was significantly lower compared with that in the AGA group (P<0.05). Logistic regression analysis showed that there was no correlation between SGA and maternal age, regardless of firstborn status, neonatal sex, mode of delivery and living environment. SGA was significantly associated with umbilical cord abnormalities, maternal pregnancy-induced hypertension, gestational diabetes, pregnancy infection and intrauterine distress (P<0.05). An abnormal umbilical cord, maternal pregnancy-induced hypertension, gestational diabetes, infection during pregnancy and intrauterine distress are all perinatal risk factors for SGA. Effective interventions are needed in clinical assessment to prevent the occurrence of SGA.

Project description:BACKGROUND:The association between gestational weight gain and neonatal body composition has been inconsistent, exposing the need for further research. The aim of this study was to evaluate whether gestational weight gain influences the body composition of full-term newborns and infants up to 4 months old. METHODS:A cohort study was performed with 124 participants divided into categories of gestational weight gain according to the 2009 Institute of Medicine guidelines. The anthropometric and body composition data of newborns and infants acquired using air displacement plethysmography (PeaPod®) were collected at 96?h, 1?month, 2?months and 4?months of life. In the statistical analysis, the chi-square test was used to analyze categorical variables, and ANOVA was used to analyze numerical variables. Univariate analysis was performed, and the absolute and relative frequencies of the categorical variables, as well as mean and standard deviation of the numerical variables, were obtained. Bivariate analysis was performed for the categories of gestational weight gain and gestational and neonatal characteristics. When adjustments to gestational hypertension, gestational diabetes, and pregestational body mass index (BMI) were analyzed by linear regression, gestational weight gain remained a significant variable for newborn percent fat mass. For all analyses, a significance level of 5% was adopted. RESULTS:Gestational weight gain was adequate in 33.8% of the participants, excessive in 41.1% and insufficient in 25%. Women with excessive weight gain had higher pregestational BMIs and a higher incidence of gestational hypertension. Their newborns had a higher body mass, body fat mass in grams and percent fat mass than the infants born to mothers with adequate or insufficient gestational weight gain. No significant differences were observed in body composition at 1, 2 and 4?months of life during infant follow-up. CONCLUSION:Excessive gestational weight gain may alter the body composition of newborns at birth. Further studies are required to better evaluate infant follow-up. TRIAL REGISTRATION:Clinical Trial Registry: NCT00875251 on April 3, 2009.

Dataset Information

Assessment of neonatal EEG background and neurodevelopment in full-term small for their gestational age infants.

Background

Methods

Main outcomes measured

Results

Conclusions

Publications

Assessment of neonatal EEG background and neurodevelopment in full-term small for their gestational age infants.

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