Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA.
Pediatr Res. 2023 Aug;94(2):762-770. doi: 10.1038/s41390-023-02540-2. Epub 2023 Feb 25.
Single-cohort studies have identified distinct neurobehavioral profiles that are associated with prenatal and neonatal factors based on the NICU Network Neurobehavioral Scale (NNNS). We examined socioeconomic, medical, and substance use variables as predictors of NNNS profiles in a multi-cohort study of preterm and term-born infants with different perinatal exposures.
We studied 1112 infants with a neonatal NNNS exam from the Environmental influences on Child Health Outcomes (ECHO) consortium. We used latent profile analysis to characterize infant neurobehavioral profiles and generalized estimating equations to determine predictors of NNNS profiles.
Six distinct neonatal neurobehavioral profiles were identified, including two dysregulated profiles: a hypo-aroused profile (16%) characterized by lethargy, hypotonicity, and nonoptimal reflexes; and a hyper-aroused profile (6%) characterized by high arousal, excitability, and stress, with low regulation and poor movement quality. Infants in the hypo-aroused profile were more likely to be male, have younger mothers, and have mothers who were depressed prenatally. Infants in the hyper-aroused profile were more likely to be Hispanic/Latino and have mothers who were depressed or used tobacco prenatally.
We identified two dysregulated neurobehavioral profiles with distinct perinatal antecedents. Further understanding of their etiology could inform targeted interventions to promote positive developmental outcomes.
Prior research on predictors of neonatal neurobehavior have included single-cohort studies, which limits generalizability of findings. In a multi-cohort study of preterm and term-born infants, we found six distinct neonatal neurobehavioral profiles, with two profiles being identified as dysregulated. Hypo- and hyper-aroused neurobehavioral profiles had distinct perinatal antecedents. Understanding perinatal factors associated with dysregulated neurobehavior could help promote positive developmental outcomes.
基于新生儿重症监护病房网络神经行为量表(NNNS),单队列研究已经确定了与产前和新生儿因素相关的独特神经行为特征。我们研究了社会经济、医疗和物质使用变量,作为预测具有不同围产期暴露的早产儿和足月出生婴儿 NNNS 特征的指标。
我们研究了来自环境对儿童健康结果影响(ECHO)联盟的 1112 名接受新生儿 NNNS 检查的婴儿。我们使用潜在剖面分析来描述婴儿的神经行为特征,并使用广义估计方程来确定 NNNS 特征的预测因素。
确定了六个不同的新生儿神经行为特征,包括两个失调特征:一个是低唤醒特征(16%),表现为昏睡、低张力和非最佳反射;另一个是高唤醒特征(6%),表现为高唤醒、兴奋和应激,调节能力低,运动质量差。低唤醒特征的婴儿更可能是男性,母亲更年轻,母亲在产前抑郁。高唤醒特征的婴儿更可能是西班牙裔/拉丁裔,母亲在产前抑郁或吸烟。
我们确定了两个具有不同围产期前因的失调神经行为特征。进一步了解其病因可能为促进积极的发育结果提供有针对性的干预措施。
关于新生儿神经行为预测因素的先前研究包括单队列研究,这限制了研究结果的普遍性。在一项对早产儿和足月出生婴儿的多队列研究中,我们发现了六个不同的新生儿神经行为特征,其中两个特征被确定为失调。低唤醒和高唤醒的神经行为特征有不同的围产期前因。了解与失调神经行为相关的围产期因素可能有助于促进积极的发育结果。