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NICU 网络神经行为量表特征可预测低风险样本的发育结局。

NICU Network Neurobehavioral Scale profiles predict developmental outcomes in a low-risk sample.

机构信息

Division of Biostatistics and Epidemiology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229-3039, USA.

出版信息

Paediatr Perinat Epidemiol. 2012 Jul;26(4):344-52. doi: 10.1111/j.1365-3016.2012.01288.x. Epub 2012 May 17.

Abstract

BACKGROUND

Latent profile analysis (LPA) has been used previously to classify neurobehavioral responses of infants prenatally exposed to cocaine and other drugs of abuse. The objective of this study was to define NICU Network Neurobehavioral Scale (NNNS) profile response patterns in a cohort of infants with no known cocaine exposure or other risks for neurobehavior deficits, and determine whether these profiles predict neurobehavioral outcomes in these low-risk infants.

METHODS

NNNS exams were performed on 355 low-risk infants at approximately 5 weeks after birth. LPA was used to define discrete profiles based on the standard NNNS summary scales. Associations between the infant profiles and neurobehavioral outcomes at one to three years of age were examined.

RESULTS

Twelve of the 13 summary scales were used and three discrete NNNS profiles identified: social/easy going infants (44%), hypotonic infants (24%), and high arousal/difficult infants (32%). Statistically significant associations between NNNS profiles and later neurobehavioral outcomes were found for psychomotor development and externalizing behaviors. Hypotonic infants had both lower psychomotor development and lower externalizing scores compared to the other two profiles.

CONCLUSIONS

Three distinct profiles of the NNNS summary scores were identifiable using LPA among infants with no known cocaine exposure. These profile patterns were associated with early childhood neurobehavioral outcome, similar to findings reported in a study of infants with substantial cocaine exposure, demonstrating the utility of this profiling technique in both exposed and unexposed populations.

摘要

背景

潜伏剖面分析(LPA)先前已被用于对产前暴露于可卡因和其他滥用药物的婴儿的神经行为反应进行分类。本研究的目的是确定无已知可卡因暴露或神经行为缺陷其他风险的婴儿队列中的新生儿重症监护病房网络神经行为量表(NNNS)的概况反应模式,并确定这些模式是否预测这些低风险婴儿的神经行为结局。

方法

在出生后约 5 周时,对 355 名低风险婴儿进行 NNNS 检查。使用 LPA 根据标准 NNNS 汇总量表定义离散的概况。检查了婴儿概况与 1 至 3 岁时神经行为结果之间的关联。

结果

使用了 13 个汇总量表中的 12 个,确定了三个离散的 NNNS 概况:社会/随和婴儿(44%)、低张力婴儿(24%)和高唤醒/困难婴儿(32%)。在 NNNS 概况和后来的神经行为结果之间发现了有统计学意义的关联,包括精神运动发育和外向行为。与其他两个概况相比,低张力婴儿的精神运动发育和外向评分都较低。

结论

在无已知可卡因暴露的婴儿中,使用 LPA 可以识别 NNNS 汇总评分的三个不同概况。这些概况模式与幼儿神经行为结局相关,与大量可卡因暴露婴儿的研究报告结果相似,表明这种分析技术在暴露和未暴露人群中的应用价值。

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