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Eye-Tracking–Based Measurement of Social Visual Engagement Compared With Expert Clinical Diagnosis of Autism

医学 专业 医学诊断 自闭症 自闭症谱系障碍 考试(生物学) 眼动 临床心理学 精神科 病理 古生物学 物理 光学 生物
作者
Warren Jones,Cheryl Klaiman,Shana Richardson,Christa Aoki,Christopher J. Smith,Mendy Minjarez,Raphael Bernier,Ernest V. Pedapati,Somer Bishop,Whitney Ence,Allison Wainer,Jennifer M. Moriuchi,Sew-Wah Tay,Ami Klin
出处
期刊:JAMA [American Medical Association]
卷期号:330 (9): 854-854 被引量:38
标识
DOI:10.1001/jama.2023.13295
摘要

Importance In the US, children with signs of autism often experience more than 1 year of delay before diagnosis and often experience longer delays if they are from racially, ethnically, or economically disadvantaged backgrounds. Most diagnoses are also received without use of standardized diagnostic instruments. To aid in early autism diagnosis, eye-tracking measurement of social visual engagement has shown potential as a performance-based biomarker. Objective To evaluate the performance of eye-tracking measurement of social visual engagement (index test) relative to expert clinical diagnosis in young children referred to specialty autism clinics. Design, Setting, and Participants In this study of 16- to 30-month-old children enrolled at 6 US specialty centers from April 2018 through May 2019, staff blind to clinical diagnoses used automated devices to measure eye-tracking–based social visual engagement. Expert clinical diagnoses were made using best practice standardized protocols by specialists blind to index test results. This study was completed in a 1-day protocol for each participant. Main Outcomes and Measures Primary outcome measures were test sensitivity and specificity relative to expert clinical diagnosis. Secondary outcome measures were test correlations with expert clinical assessments of social disability, verbal ability, and nonverbal cognitive ability. Results Eye-tracking measurement of social visual engagement was successful in 475 (95.2%) of the 499 enrolled children (mean [SD] age, 24.1 [4.4] months; 38 [8.0%] were Asian; 37 [7.8%], Black; 352 [74.1%], White; 44 [9.3%], other; and 68 [14.3%], Hispanic). By expert clinical diagnosis, 221 children (46.5%) had autism and 254 (53.5%) did not. In all children, measurement of social visual engagement had sensitivity of 71.0% (95% CI, 64.7% to 76.6%) and specificity of 80.7% (95% CI, 75.4% to 85.1%). In the subgroup of 335 children whose autism diagnosis was certain, sensitivity was 78.0% (95% CI, 70.7% to 83.9%) and specificity was 85.4% (95% CI, 79.5% to 89.8%). Eye-tracking test results correlated with expert clinical assessments of individual levels of social disability ( r = −0.75 [95% CI, −0.79 to −0.71]), verbal ability ( r = 0.65 [95% CI, 0.59 to 0.70]), and nonverbal cognitive ability ( r = 0.65 [95% CI, 0.59 to 0.70]). Conclusions and Relevance In 16- to 30-month-old children referred to specialty clinics, eye-tracking–based measurement of social visual engagement was predictive of autism diagnoses by clinical experts. Further evaluation of this test’s role in early diagnosis and assessment of autism in routine specialty clinic practice is warranted. Trial Registration ClinicalTrials.gov Identifier: NCT03469986
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