Novel Approaches to Infant Screening for ASD in Pediatric Primary Care

儿科初级保健中婴儿自闭症谱系障碍筛查的新方法

基本信息

批准号：
10227331
负责人：
Geraldine Dawson
金额：
$ 78.18万
依托单位：
DUKE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-15 至 2024-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10227331
关键词：
Address Affect Affective Age Age-Months Algorithms Attention Attention deficit hyperactivity disorder Award Behavioral Brain Caring Cellular Phone Centers of Research Excellence Characteristics Child Childhood Clinic Clinical Cognitive Data Development Developmental Delay Disorders Devices Diagnostic Early Diagnosis Early Intervention Early treatment Electronic Health Record Elements Enrollment Ethnic Origin Evaluation Event Funding General Population Goals Health system Healthcare Infant Language Language Delays Machine Learning Measures Medical History Methods Movement National Institute of Child Health and Human Development Natural Language Processing Neurodevelopmental Disorder Nursery Schools Outcome Patients Pattern Performance Pharmaceutical Preparations Phenotype Population Primary Health Care Procedures Race Research Research Project Grants Risk Risk Assessment Risk Marker Sampling Screening procedure Severities Socioeconomic Status Stimulus Symptoms Tablets Testing Toddler United States National Institutes of Health Universities Visual attention Well Child Visits Work autism spectrum disorder base behavior measurement brain behavior checkup examination clinical care cohort comorbidity data mining digital disorder risk early screening improved infancy infant monitoring motor behavior multimodality novel novel strategies pediatric patients population based postnatal prenatal primary care setting prospective recruit screening sensor sex social tool visual tracking vocalization

项目摘要

ABSTRACT – Novel Approaches to Infant Screening for ASD in Pediatric Primary Care The overall goal of this project is to develop and validate novel tools to identify risk for autism spectrum disorder (ASD) in infants 6-12 months of age in a pediatric primary care setting. Research has confirmed that ASD is associated with changes in brain and behavior that are evident during infancy, and proof-of-concept studies suggest that early intervention during the infant period can improve early brain function and developmental outcomes. Moreover, early universal autism screening has been shown to reduce existing disparities based on socioeconomic status (SES) and ethnicity/race in access to early diagnosis and treatment. This project leverages ongoing work that is currently funded as part of the Duke NIH Autism Center of Excellence (ACE) Award (NICHD P50 HD093074; Dawson, Center Director), which is evaluating a novel digital phenotyping tool for early ASD risk assessment in toddler-age children in a pediatric primary care setting. Our novel screening tool, SenseToKnow, is based on active closed-loop sensing, where children are shown brief, developmentally-appropriate, dynamic stimuli on a smart tablet or smartphone, while the sensors in the same device capture information for automatic, objective quantification of several behavioral risk markers, based on patterns of attention, orienting, affect, vocalizations, and motor behavior. The proposed research will 1) evaluate a novel infant version of the app, SenseToKnow-Infant, in a large population of infants in the context of routine pediatric care, and 2) examine the utility of a multi- modal approach to risk assessment that combines information from SenseToKnow-I with information from infant and maternal electronic health records (EHRs). Using both direct digital behavioral measurement via SenseToKnow-I and data readily available in the EHR, we aim to develop and validate a multimodal ASD risk assessment algorithm for use in infants (6-12 months of age) that can be deployed in the general population.

摘要 – 儿科初级保健中婴儿自闭症谱系障碍 (ASD) 筛查的新方法该项目的总体目标是开发和验证新工具来识别风险儿科初级保健中 6-12 个月大婴儿的自闭症谱系障碍 (ASD) 研究已证实自闭症谱系障碍与大脑和行为的变化有关。这在婴儿期很明显，概念验证研究表明早期干预婴儿期可以改善早期大脑功能和发育结果。此外，早期普遍的自闭症筛查已被证明可以减少现有的基于自闭症的差异。社会经济地位（SES）和民族/种族在获得早期诊断和治疗方面的影响。该项目利用了目前由杜克大学国立卫生研究院自闭症项目资助的正在进行的工作卓越中心 (ACE) 奖（NICHD P50 HD093074；道森，中心主任），评估一种新型数字表型工具，用于幼儿早期 ASD 风险评估我们的新型筛查工具 SenseToKnow 是基于主动的。闭环传感，向儿童展示简短的、适合发育的、动态的智能平板电脑或智能手机上的刺激，而同一设备中的传感器捕获用于自动、客观量化多种行为风险标记的信息，基于注意力、定向、情感、发声和运动行为的模式。研究将 1) 在大范围内评估该应用程序的新颖婴儿版本 SenseToKnow-Infant 常规儿科护理背景下的婴儿群体，以及 2）检查多因素的效用风险评估的模态方法，将 SenseToKnow-I 的信息与使用直接数字方式获取婴儿和孕产妇电子健康记录 (EHR) 的信息。通过 SenseToKnow-I 进行行为测量以及 EHR 中现成的数据，我们的目标是开发并验证用于婴儿的多模式 ASD 风险评估算法（6-12 月龄），可以在一般人群中部署。