Autism Detection in Children by Combined Use of Gaze Preference and the M-CHAT-R in a Resource-Scarce Setting
作者
On behalf of the Autism Working Group in Peru,Kelly Jensen,Sassan Noazin,Leandra Bitterfeld,Andrea C. Carcelen,Natalia I. Vargas-Cuentas,Daniela Hidalgo,Alejandra A. Valenzuela,Avid Roman–Gonzalez,Casey Krebs,V. Clément,Cody Nolan,Franklin Barrientos,Ardi Knobel Mendoza,Paola Noriega-Donis,Claudia Palacios,Andrea Ramírez Varela,Macarena Vittet,Emil Hafeez,Mariana Torres‐Viso
Most children with autism spectrum disorder (ASD), in resource-limited settings (RLS), are diagnosed after the age of four. Our work confirmed and extended results of Pierce that eye tracking could discriminate between typically developing (TD) children and those with ASD. We demonstrated the initial 15 s was at least as discriminating as the entire video. We evaluated the GP-MCHAT-R, which combines the first 15 s of manually-coded gaze preference (GP) video with M-CHAT-R results on 73 TD children and 28 children with ASD, 36-99 months of age. The GP-MCHAT-R (AUC = 0.89 (95%CI: 0.82-0.95)), performed significantly better than the MCHAT-R (AUC = 0.78 (95%CI: 0.71-0.85)) and gaze preference (AUC = 0.76 (95%CI: 0.64-0.88)) alone. This tool may enable early screening for ASD in RLS.