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潜类分析对新生儿神经发育差异风险的特征描述。

Latent class analysis to characterize neonatal risk for neurodevelopmental differences.

机构信息

Stead Family Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.

Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, TN, USA.

出版信息

J Child Psychol Psychiatry. 2023 Jan;64(1):100-109. doi: 10.1111/jcpp.13671. Epub 2022 Jul 15.

Abstract

BACKGROUND

Neonatal risk factors, such as preterm birth and low birth weight, have been robustly linked to neurodevelopmental deficits, yet it is still unclear why some infants born preterm and/or low birth weight experience neurodevelopmental difficulties while others do not. The current study investigated this heterogeneity in neurodevelopmental abilities by examining additional neonatal morbidities as risk factors, utilizing latent class analysis to classify neonates into groups based on similar neonatal risk factors, and including neonates from the full spectrum of gestational age.

METHODS

Neonates who received neonatal care at an academic public hospital during an almost 10-year period (n = 19,951) were included in the latent class analysis, and 21 neonatal indicators of health were used. Neonatal class, sex, and the interaction between neonatal class and sex were used to examine differences in neurodevelopment at 18 months of age in a typically developing population.

RESULTS

The best fitting model included five infant classes: healthy, hypoxic, critically ill, minorly ill, and complicated delivery. Scores on the parent-rated neurodevelopmental measure differed by class such that infants in the critically ill, minorly ill, and complicated delivery classes had lower scores. There was no main effect of sex on the neurodevelopmental measure scores, but the interaction between sex and neonatal class was significant for three out of five neurodevelopmental domains.

CONCLUSIONS

The current study extends the understanding of risk factors in neurodevelopment by including several neonatal medical conditions that are often overlooked and by using a person-centered, as opposed to variable-centered, approach. Future work should continue to examine risk factors, such as maternal health during pregnancy and medical interventions for newborns, in relation to neonatal risks and neurodevelopment by using a person-centered approach.

摘要

背景

早产和低出生体重等新生儿风险因素与神经发育缺陷密切相关,但仍不清楚为什么有些早产儿和/或低出生体重儿会出现神经发育困难,而有些则不会。本研究通过检查其他新生儿疾病作为风险因素,利用潜在类别分析根据相似的新生儿风险因素将新生儿分类为不同的组别,并纳入了从整个妊娠期范围的新生儿,来研究神经发育能力的这种异质性。

方法

将近 10 年期间在一家学术性公立医院接受新生儿护理的新生儿(n=19951)被纳入潜在类别分析,使用了 21 个新生儿健康指标。利用新生儿类别、性别以及新生儿类别和性别的相互作用来检查在典型发育人群中 18 个月时的神经发育差异。

结果

最佳拟合模型包括五个婴儿类别:健康、缺氧、危重病、轻症和复杂分娩。家长评定的神经发育测量得分因类别而异,危重病、轻症和复杂分娩类别的婴儿得分较低。性别对神经发育测量得分没有主要影响,但性别与新生儿类别的相互作用对五个神经发育领域中的三个领域有显著影响。

结论

本研究通过纳入经常被忽视的几种新生儿疾病,并采用以个体为中心的方法,而不是以变量为中心的方法,扩展了对神经发育风险因素的理解。未来的研究应继续通过采用以个体为中心的方法,研究与新生儿风险和神经发育相关的风险因素,如妊娠期间的产妇健康和新生儿的医疗干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b4c4/10084300/43efa4c32514/JCPP-64-100-g001.jpg

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