EMBARGOED FOR RELEASE: 11 A.M. (ET), THURSDAY, FEBRUARY 2, 2023
Media advisory: The full study is linked to this news release.
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About The Study: In this diagnostic study of an autism screening test including 45,000 children, electronic health record (EHR)-based autism detection achieved clinically meaningful accuracy by age 30 days, improving by age 1. This automated approach could be integrated with caregiver surveys to improve the accuracy of early autism screening.
Authors: Matthew M. Engelhard, M.D., Ph.D., of the Duke University School of Medicine in Durham, North Carolina, is the corresponding author.
(doi:10.1001/jamanetworkopen.2022.54303)
Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.
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SOURCES: https://media.jamanetwork.com/news-item/predictive-value-of-autism-detection-models-based-on-ehr-data-collected-before-age-1/; https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2800898; http://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2022.54303?utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_term=020223
