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临床试验/NCT06586788
NCT06586788已完成不适用

Validation of Indiana's Early Neurodevelopmental Evaluation Hub Program

Indiana University14 个研究点 分布在 1 个国家目标入组 154 人开始时间: 2019年6月7日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
154
试验地点
14
主要终点
Agreement Between Composite Eye-tracking Biomarker and Expert Autism-specialist

研究概览

简要总结

The investigators' objective is to test an innovative method of autism diagnosis that integrates clinical evaluation and assessment of biobehavioral markers in a large high-risk community-referral sample of children in the primary care setting.

详细描述

Determine whether eye-tracking biomarkers can reliably differentiate young children with and without autism in a community referred sample. The study will use a non-invasive remote eye-tracking system (Eyelink Portable Duo) to acquire a short series (less than 15 mins) of eye-tracking measures (e.g., looking time, pupil diameter, oculomotor dynamics), which may be associated with autism in young children. Differences in metrics between children with and without autism will be compared to validate potential eye-tracking biomarkers.

Determine whether a combination of clinical (i.e., EE Hub PCP measures) and eye-tracking biomarkers can be used to accurately predict autism diagnostic outcome in a sample of young children evaluated for autism in the primary care setting.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Diagnostic
盲法
None

入排标准

年龄范围
14 Months 至 48 Months(Child)
性别
All
接受健康志愿者

入选标准

  • Young children ages 14-48 months seen at an EE hub and referred for a comprehensive autism evaluation.
  • Children must have English-speaking caregivers. Children must have a legal guardian that is able to provide consent.

排除标准

  • Child is younger than 14 months or older than 48 months. Child's caregiver(s) is/are not English-speaking.

结局指标

主要结局

Agreement Between Composite Eye-tracking Biomarker and Expert Autism-specialist

时间窗: Day 1

Sensitivity and specificity of a composite eye-tracking (i.e., index) test, which was a consolidated measure based on significant eye-tracking indices, compared to reference standard expert clinical autism diagnosis.

Agreement Between Integrated PCP, Eye-tracking Biomarker Score and Expert Autism-specialist

时间窗: Day 1

Classification and Regression Tree (CART) analysis, based on recursive partitioning, is used to determine which combination of variables (EE Hub PCP diagnosis, diagnostic certainty, composite biomarker, and biomarker frequency \[sum of all individual biomarkers (0-6) that exceeded the 95% specificity threshold for each child\]) best predicted reference standard autism diagnosis.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Rebecca McNally Keehn

Assistant Professor of Pediatrics

Indiana University

研究点 (14)

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