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Quantitative Checklist for Autism in Toddlers (Q-CHAT). A population screening study with follow-up: the case for multiple time-point screening for autism.
Allison, Carrie; Matthews, Fiona E; Ruta, Liliana; Pasco, Greg; Soufer, Renee; Brayne, Carol; Charman, Tony; Baron-Cohen, Simon.
Afiliação
  • Allison C; Psychiatry Department, Autism Research Centre, University of Cambridge, Cambridge, UK.
  • Matthews FE; Population Health Sciences Institute, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, UK.
  • Ruta L; Institute for Biomedical Research and Innovation (IRIB) - National Research Council of Italy (CNR), Messina, Italy.
  • Pasco G; Dept of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Soufer R; Psychiatry Department, Autism Research Centre, University of Cambridge, Cambridge, UK.
  • Brayne C; Cambridge Public Health, University of Cambridge, Cambridge, UK.
  • Charman T; Dept of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Baron-Cohen S; Psychiatry Department, Autism Research Centre, University of Cambridge, Cambridge, UK.
BMJ Paediatr Open ; 5(1): e000700, 2021.
Article em En | MEDLINE | ID: mdl-34131593
ABSTRACT

Objective:

This is a prospective population screening study for autism in toddlers aged 18-30 months old using the Quantitative Checklist for Autism in Toddlers (Q-CHAT), with follow-up at age 4.

Design:

Observational study.

Setting:

Luton, Bedfordshire and Cambridgeshire in the UK.

Participants:

13 070 toddlers registered on the Child Health Surveillance Database between March 2008 and April 2009, with follow-up at age 4; 3770 (29%) were screened for autism at 18-30 months using the Q-CHAT and the Childhood Autism Spectrum Test (CAST) at follow-up at age 4.

Interventions:

A stratified sample across the Q-CHAT score distribution was invited for diagnostic assessment (phase 1). The 4-year follow-up included the CAST and the Checklist for Referral (CFR). All with CAST ≥15, phase 1 diagnostic assessment or with developmental concerns on the CFR were invited for diagnostic assessment (phase 2). Standardised diagnostic assessment at both time-points was conducted to establish the test accuracy of the Q-CHAT. Main outcome

measures:

Consensus diagnostic outcome at phase 1 and phase 2.

Results:

At phase 1, 3770 Q-CHATs were returned (29% response) and 121 undertook diagnostic assessment, of whom 11 met the criteria for autism. All 11 screened positive on the Q-CHAT. The positive predictive value (PPV) at a cut-point of 39 was 17% (95% CI 8% to 31%). At phase 2, 2005 of 3472 CASTs and CFRs were returned (58% response). 159 underwent diagnostic assessment, including 82 assessed in phase 1. All children meeting the criteria for autism identified via the Q-CHAT at phase 1 also met the criteria at phase 2. The PPV was 28% (95% CI 15% to 46%) after phase 1 and phase 2.

Conclusions:

The Q-CHAT can be used at 18-30 months to identify autism and enable accelerated referral for diagnostic assessment. The low PPV suggests that for every true positive there would, however, be ~4-5 false positives. At follow-up, new cases were identified, illustrating the need for continued surveillance and rescreening at multiple time-points using developmentally sensitive instruments. Not all children who later receive a diagnosis of autism are detectable during the toddler period.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtorno Autístico Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Limite: Child / Child, preschool / Humans / Infant Idioma: En Revista: BMJ Paediatr Open Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtorno Autístico Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Limite: Child / Child, preschool / Humans / Infant Idioma: En Revista: BMJ Paediatr Open Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido