儿科初级保健中婴儿自闭症谱系障碍筛查的新方法-猫眼课题宝

儿科初级保健中婴儿自闭症谱系障碍筛查的新方法

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

项目状态：

已结题

起止时间：

2019-09-15 至 2024-06-30

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

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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.

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