预测婴儿神经行为障碍发展的早期因素-一项初步研究

Gurevitz M
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引用次数: 2

摘要

背景:神经行为障碍(nbd),如自闭症谱系障碍(ASD)、注意缺陷多动障碍(ADHD)和发育协调障碍(DCD)的发病率不断上升,是公共卫生领域关注的主要问题。尽管早期发现发展中的NBD对于在大脑可塑性突出的情况下进行干预至关重要,但目前尚无针对婴儿期NBD发展的筛查工具。这项研究的目的是评估是否可以在婴儿早期识别出预测未来nbd的风险因素。方法:以色列卫生组织在特殊的婴儿保健诊所(“Tipat Chalav”)提供自出生以来的发展随访系统。这些记录在案的数据被用于检查161名婴儿的图表,这些婴儿在生命后期(2-10岁)被诊断为nbd(47名ASD, 56名DCD, 58名ADHD)。将他们0-18月龄的病史与58名发育正常的婴儿(对照组)进行比较。收集10个协变量28个参数进行比较和统计分析。结果:本分析表明,七个参数(胎龄、出生体重、头围百分位数、体重百分位数、大肌肉运动发育、语言和交流困难)偏离轨迹可以共同预测ASD的发展,概率为85%。偏离上述前五个参数的轨迹可以以72%的概率共同预测DCD的发展。早期危险因素预测ADHD发展的概率为58% (Gurevitz et al . 2014)。结论:本队列回顾性研究阐明了婴儿期可能预测nbd发展的危险因素。最突出的是体重的偏离,随后是头围轨迹的偏离,以及由于肌肉力量和音调不规则而导致的运动发育延迟。确定婴儿期的危险因素对于早期干预计划至关重要,例如预防体重的快速变化和加强运动发育和相应神经回路的操作。风险因素越早被发现,早期量身定制的生物心理社会治疗可能就越有效。试验注册:回顾性注册。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early factors at infancy that predict a developing neurobehavioral disorder - A pilot study
Background: The increasing incidence of Neurobehavioral Disorders (NBDs), such as Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD) and Developmental Coordination Disorder (DCD), is of major concern in public health. Although early detection of a developing NBD is critical to enable intervention while brain plasticity is prominent, no screening tool for NBD development at infancy is available. The aim here was to assess whether risk factors that predict forthcoming NBDs can be identified at early infancy. Methods: The Israeli Health Organization provides a developmental follow-up system since birth at special well-baby-care clinics (‘Tipat Chalav’). The documented data was used to examine the charts of 161 babies, who later in life (2-10 years of age) were diagnosed for NBDs (47 ASD, 56 DCD, 58 ADHD). Their medical history at 0-18 months of age was compared to that of 58 babies with typical development (control group). Ten covariates including 28 parameters were collected, compared and statistically analysed. Results: This analysis indicated that deviation from trajectories of seven parameters (gestational age, birth weight, head circumference percentile, weight percentile, gross motor development, difficulties in speech and communication) may collectively predict the development of ASD with 85% probability. Deviation from trajectories of the above first five parameters may collectively predict the development of DCD with 72% probability. Early risk factors that may predict ADHD development with 58% probability were previously described (Gurevitz et al 2014). Conclusion: This cohort retrospective study illuminates risk factors at infancy that may predict the development of NBDs. Most prominent are deviations from weight followed by deviations in head circumference trajectories, and delay in motor development due to muscle strength and tone irregularities. Identification of risk factors at infancy is crucial for early intervention programs, such as prevention of rapid changes in weight and manipulations to strengthen motor development and the corresponding neural circuits. The sooner risk factors are recognized, more efficient an early tailored bio-psycho-social treatment might be. Trial registration: Retrospectively registered.
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