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小胎龄儿的胎儿生长轨迹与儿童神经发育。

Fetal Growth Trajectories Among Small for Gestational Age Babies and Child Neurodevelopment.

机构信息

From the Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina.

Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.

出版信息

Epidemiology. 2021 Sep 1;32(5):664-671. doi: 10.1097/EDE.0000000000001387.

Abstract

BACKGROUND

Being born small for gestational age (SGA, <10th percentile) is a risk factor for worse neurodevelopmental outcomes. However, this group is a heterogeneous mix of healthy and growth-restricted babies, and not all will experience poor outcomes. We sought to determine whether fetal growth trajectories can distinguish who will have the worst neurodevelopmental outcomes in childhood among babies born SGA.

METHODS

The present analysis was conducted in Generation R, a population-based cohort in Rotterdam, the Netherlands (N = 5,487). Using group-based trajectory modeling, we identified fetal growth trajectories for weight among babies born SGA. These were based on standard deviation scores of ultrasound measures from mid-pregnancy and late pregnancy in combination with birth weight. We compared child nonverbal intelligence quotient (IQ) and attention deficit hyperactivity disorder (ADHD) symptoms at age 6 between SGA babies within each growth trajectory to babies born non-SGA.

RESULTS

Among SGA individuals (n = 656), we identified three distinct fetal growth trajectories for weight. Children who were consistently small from mid-pregnancy (n = 64) had the lowest IQ (7 points lower compared to non-SGA babies, 95% confidence interval [CI] = -11.0, -3.5) and slightly more ADHD symptoms. Children from the trajectory that started larger but were smaller at birth showed no differences in outcomes compared to children born non-SGA.

CONCLUSIONS

Among SGA children, those who were smaller beginning in mid-pregnancy exhibited the worst neurodevelopmental outcomes at age 6. Fetal growth trajectories may help identify SGA babies who go on to have poor neurodevelopmental outcomes.

摘要

背景

出生体重小于胎龄儿(SGA,<第 10 百分位数)是神经发育结局较差的危险因素。然而,这一群体是健康和生长受限婴儿的混合体,并非所有婴儿都会出现不良结局。我们旨在确定胎儿生长轨迹是否可以区分 SGA 出生婴儿中谁会有最糟糕的神经发育结局。

方法

本分析在荷兰鹿特丹的基于人群的 Generation R 队列中进行(N=5487)。我们使用基于群组的轨迹建模,确定 SGA 出生婴儿的体重生长轨迹。这些轨迹基于从中孕期和晚孕期超声测量的标准差评分与出生体重相结合。我们比较了每个生长轨迹中 SGA 婴儿与非 SGA 婴儿的 6 岁儿童非言语智商(IQ)和注意缺陷多动障碍(ADHD)症状。

结果

在 SGA 个体(n=656)中,我们确定了三种不同的体重生长轨迹。从中孕期开始一直较小的儿童(n=64)的 IQ 最低(与非 SGA 婴儿相比低 7 分,95%置信区间[CI]为-11.0,-3.5),且 ADHD 症状略多。从较大但出生时较小的轨迹开始的儿童与非 SGA 出生的儿童相比,结果没有差异。

结论

在 SGA 儿童中,从中孕期开始就较小的儿童在 6 岁时表现出最严重的神经发育结局。胎儿生长轨迹可能有助于识别有不良神经发育结局风险的 SGA 婴儿。

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