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一种采用I-TC和Q-CHAT的两阶段筛查方法,以在意大利公共卫生系统内识别自闭症谱系障碍风险幼儿。

A Two-Stage Screening Approach with I-TC and Q-CHAT to Identify Toddlers at Risk for Autism Spectrum Disorder within the Italian Public Health System.

作者信息

Devescovi Raffaella, Monasta Lorenzo, Bin Maura, Bresciani Giulia, Mancini Alice, Carrozzi Marco, Colombi Costanza

机构信息

Division of Child Neurology and Psychiatry, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", 34137 Trieste, Italy.

Clinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", 34137 Trieste, Italy.

出版信息

Brain Sci. 2020 Mar 23;10(3):184. doi: 10.3390/brainsci10030184.

Abstract

Standardized screening programs ensure that children are monitored for early signs of autism spectrum disorder (ASD) in order to promote earlier diagnosis and intervention. The aim of this study is to identify early signs of atypical development consistent with ASD or other developmental disorders in a population of 224 low-risk toddlers through a two-stage screening approach applied at 12 and 18 months of age. We adopted two screening tools combined: 1. the Communication and Symbolic Behavior Scales Developmental Profile (CSBS DP) Infant-Toddler Checklist (I-TC) and 2. The Quantitative Checklist for Autism in Toddlers (Q-CHAT). We assessed their sensitivity and specificity related to the diagnostic outcome at 36 months. The results showed that autistic signs can be detected as early as the first year even through a few questions extrapolated from both screeners and that our model could be used as a screening procedure in the Italian public health system.

摘要

标准化筛查项目可确保对儿童进行监测,以发现自闭症谱系障碍(ASD)的早期迹象,从而促进早期诊断和干预。本研究的目的是通过在12个月和18个月时采用两阶段筛查方法,在224名低风险幼儿群体中识别与ASD或其他发育障碍一致的非典型发育早期迹象。我们采用了两种联合筛查工具:1. 沟通与象征性行为量表发育概况(CSBS DP)婴幼儿检查表(I-TC);2. 幼儿自闭症定量检查表(Q-CHAT)。我们评估了它们与36个月时诊断结果相关的敏感性和特异性。结果表明,即使通过从两种筛查工具中推断出的几个问题,自闭症迹象早在第一年就可以被检测到,并且我们的模型可以用作意大利公共卫生系统的筛查程序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c5b/7139459/64333553da1c/brainsci-10-00184-g001.jpg

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