OBJECTIVE: Parents rely on pediatricians to monitor their child's development. The American Academy of Pediatrics recommends routine developmental screening with both broadband and autism-specific instruments at specified ages. If broadband screeners can detect autism risk, this might minimize the burden of administering autism-specific screens to all children. The current study examines the ability of the Ages and Stages Questionnaire-Third Edition (ASQ-3) to identify children at risk for autism. We looked at ASQ-3 scores of children who screen positive on the Modified Checklist for Autism in Toddlers-Revised (M-CHAT-R), children who continue to screen positive on the M-CHAT-R Follow-up Interview, and children diagnosed with autism spectrum disorder (ASD). METHODS: A total of 2848 toddlers, aged 16 to 30 months, were screened with the ASQ-3 and M-CHAT-R across 20 pediatric sites. Children who screened positive on the M-CHAT-R and its follow-up interview were offered a diagnostic evaluation. RESULTS: Using the "monitor and/or fail" cutoff on any domain, the ASQ-3 identified 87% of the children who screened positive on the M-CHAT-R with follow-up and 95% (20/21) of those diagnosed with an ASD. Monitor and/or fail on the Communication domain alone also identified 95% of the diagnosed children. CONCLUSIONS: Scores below the "monitor" cutoff on the Communication domain of the ASQ-3 can indicate initial concern requiring autism-specific follow-up. If these results are confirmed with a sample large enough to separately examine toddlers of different ages and different cultural backgrounds, it may be feasible to implement a 2-stage screening strategy, with autism-specific screening reserved for those who are positive on a broadband screen.
OBJECTIVE: Parents rely on pediatricians to monitor their child's development. The American Academy of Pediatrics recommends routine developmental screening with both broadband and autism-specific instruments at specified ages. If broadband screeners can detect autism risk, this might minimize the burden of administering autism-specific screens to all children. The current study examines the ability of the Ages and Stages Questionnaire-Third Edition (ASQ-3) to identify children at risk for autism. We looked at ASQ-3 scores of children who screen positive on the Modified Checklist for Autism in Toddlers-Revised (M-CHAT-R), children who continue to screen positive on the M-CHAT-R Follow-up Interview, and children diagnosed with autism spectrum disorder (ASD). METHODS: A total of 2848 toddlers, aged 16 to 30 months, were screened with the ASQ-3 and M-CHAT-R across 20 pediatric sites. Children who screened positive on the M-CHAT-R and its follow-up interview were offered a diagnostic evaluation. RESULTS: Using the "monitor and/or fail" cutoff on any domain, the ASQ-3 identified 87% of the children who screened positive on the M-CHAT-R with follow-up and 95% (20/21) of those diagnosed with an ASD. Monitor and/or fail on the Communication domain alone also identified 95% of the diagnosed children. CONCLUSIONS: Scores below the "monitor" cutoff on the Communication domain of the ASQ-3 can indicate initial concern requiring autism-specific follow-up. If these results are confirmed with a sample large enough to separately examine toddlers of different ages and different cultural backgrounds, it may be feasible to implement a 2-stage screening strategy, with autism-specific screening reserved for those who are positive on a broadband screen.
Authors: P A Filipek; P J Accardo; S Ashwal; G T Baranek; E H Cook; G Dawson; B Gordon; J S Gravel; C P Johnson; R J Kallen; S E Levy; N J Minshew; S Ozonoff; B M Prizant; I Rapin; S J Rogers; W L Stone; S W Teplin; R F Tuchman; F R Volkmar Journal: Neurology Date: 2000-08-22 Impact factor: 9.910
Authors: Ricardo Canal-Bedia; Patricia García-Primo; María Victoria Martín-Cilleros; José Santos-Borbujo; Zoila Guisuraga-Fernández; Lorena Herráez-García; María del Mar Herráez-García; Leticia Boada-Muñoz; Joaquín Fuentes-Biggi; Manuel Posada-de la Paz Journal: J Autism Dev Disord Date: 2011-10
Authors: Rahil D Briggs; Erin M Stettler; Ellen Johnson Silver; Rebecca D A Schrag; Meghna Nayak; Susan Chinitz; Andrew D Racine Journal: Pediatrics Date: 2012-01-09 Impact factor: 7.124
Authors: Aishwarya P Yadama; Rachel S Kelly; Kathleen Lee-Sarwar; Hooman Mirzakhani; Su H Chu; Priyadarshini Kachroo; Augusto A Litonjua; Jessica Lasky-Su; Scott T Weiss Journal: Brain Behav Immun Date: 2019-10-10 Impact factor: 7.217
Authors: Edwina H Yeung; Rajeshwari Sundaram; Erin M Bell; Charlotte Druschel; Christopher Kus; Akhgar Ghassabian; Scott Bello; Yunlong Xie; Germaine M Buck Louis Journal: JAMA Pediatr Date: 2016-03 Impact factor: 16.193
Authors: Raymond Sturner; Barbara Howard; Paul Bergmann; Tanya Morrel; Rebecca Landa; Kejuana Walton; Danielle Marks Journal: J Autism Dev Disord Date: 2017-10
Authors: Rachel S Kelly; Adrianna Boulin; Nancy Laranjo; Kathleen Lee-Sarwar; Su H Chu; Aishwarya P Yadama; Vincent Carey; Augusto A Litonjua; Jessica Lasky-Su; Scott T Weiss Journal: Metabolites Date: 2019-03-05
Authors: Joanne E Sordillo; Susan Korrick; Nancy Laranjo; Vincent Carey; George M Weinstock; Diane R Gold; George O'Connor; Megan Sandel; Leonard B Bacharier; Avraham Beigelman; Robert Zeiger; Augusto A Litonjua; Scott T Weiss Journal: JAMA Netw Open Date: 2019-03-01