Cargando…

Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children

PURPOSE: This study aims to develop a clinical prediction rule for the diagnosis of autistic spectrum disorder (ASD) in children. DESIGN/METHODOLOGY/APPROACH: This population-based study was carried out in children aged 2 to 5 years who were suspected of having ASD. Data regarding demographics, risk...

Descripción completa

Detalles Bibliográficos
Autores principales: Lerthattasilp, Tiraya, Tanprasertkul, Chamnan, Chunsuwan, Issarapa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Emerald Publishing Limited 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370955/
https://www.ncbi.nlm.nih.gov/pubmed/32742626
http://dx.doi.org/10.1108/MIJ-01-2020-0001
_version_ 1783561063981121536
author Lerthattasilp, Tiraya
Tanprasertkul, Chamnan
Chunsuwan, Issarapa
author_facet Lerthattasilp, Tiraya
Tanprasertkul, Chamnan
Chunsuwan, Issarapa
author_sort Lerthattasilp, Tiraya
collection PubMed
description PURPOSE: This study aims to develop a clinical prediction rule for the diagnosis of autistic spectrum disorder (ASD) in children. DESIGN/METHODOLOGY/APPROACH: This population-based study was carried out in children aged 2 to 5 years who were suspected of having ASD. Data regarding demographics, risk factors, histories taken from caregivers and clinical observation of ASD symptoms were recorded before specialists assessed patients using standardized diagnostic tools. The predictors were analyzed by multivariate logistic regression analysis and developed into a predictive model. FINDINGS: An ASD diagnosis was rendered in 74.8 per cent of 139 participants. The clinical prediction rule consisted of five predictors, namely, delayed speech for their age, history of rarely making eye contact or looking at faces, history of not showing off toys or favorite things, not following clinician’s eye direction and low frequency of social interaction with the clinician or the caregiver. At four or more predictors, sensitivity was 100 per cent for predicting a diagnosis of ASD, with a positive likelihood ratio of 16.62. ORIGINALITY/VALUE: This practical clinical prediction rule would help general practitioners to initially diagnose ASD in routine clinical practice.
format Online
Article
Text
id pubmed-7370955
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Emerald Publishing Limited
record_format MEDLINE/PubMed
spelling pubmed-73709552020-07-31 Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children Lerthattasilp, Tiraya Tanprasertkul, Chamnan Chunsuwan, Issarapa Ment Illn Research Paper PURPOSE: This study aims to develop a clinical prediction rule for the diagnosis of autistic spectrum disorder (ASD) in children. DESIGN/METHODOLOGY/APPROACH: This population-based study was carried out in children aged 2 to 5 years who were suspected of having ASD. Data regarding demographics, risk factors, histories taken from caregivers and clinical observation of ASD symptoms were recorded before specialists assessed patients using standardized diagnostic tools. The predictors were analyzed by multivariate logistic regression analysis and developed into a predictive model. FINDINGS: An ASD diagnosis was rendered in 74.8 per cent of 139 participants. The clinical prediction rule consisted of five predictors, namely, delayed speech for their age, history of rarely making eye contact or looking at faces, history of not showing off toys or favorite things, not following clinician’s eye direction and low frequency of social interaction with the clinician or the caregiver. At four or more predictors, sensitivity was 100 per cent for predicting a diagnosis of ASD, with a positive likelihood ratio of 16.62. ORIGINALITY/VALUE: This practical clinical prediction rule would help general practitioners to initially diagnose ASD in routine clinical practice. Emerald Publishing Limited 2020-03-20 /pmc/articles/PMC7370955/ /pubmed/32742626 http://dx.doi.org/10.1108/MIJ-01-2020-0001 Text en © Tiraya Lerthattasilp, Chamnan Tanprasertkul and Issarapa Chunsuwan. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at: http://creativecommons.org/licences/by/4.0/legalcode
spellingShingle Research Paper
Lerthattasilp, Tiraya
Tanprasertkul, Chamnan
Chunsuwan, Issarapa
Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children
title Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children
title_full Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children
title_fullStr Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children
title_full_unstemmed Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children
title_short Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children
title_sort development of clinical prediction rule for diagnosis of autistic spectrum disorder in children
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370955/
https://www.ncbi.nlm.nih.gov/pubmed/32742626
http://dx.doi.org/10.1108/MIJ-01-2020-0001
work_keys_str_mv AT lerthattasilptiraya developmentofclinicalpredictionrulefordiagnosisofautisticspectrumdisorderinchildren
AT tanprasertkulchamnan developmentofclinicalpredictionrulefordiagnosisofautisticspectrumdisorderinchildren
AT chunsuwanissarapa developmentofclinicalpredictionrulefordiagnosisofautisticspectrumdisorderinchildren