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Using developmental regression to reorganize the clinical importance of autistic atypicalities
Early regression (ER) is often reported in autistic children with a prototypical phenotype and has been proposed as a possible pathognomonic sign present in most autistic children. Despite the uncertainties attached to its definition and report, using ER to anchor the autism phenotype could help ide...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715666/ https://www.ncbi.nlm.nih.gov/pubmed/36456542 http://dx.doi.org/10.1038/s41398-022-02263-8 |
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author | Gagnon, David Zeribi, Abderrahim Douard, Élise Courchesne, Valérie Huguet, Guillaume Jacquemont, Sébastien Loum, Mor Absa Mottron, Laurent |
author_facet | Gagnon, David Zeribi, Abderrahim Douard, Élise Courchesne, Valérie Huguet, Guillaume Jacquemont, Sébastien Loum, Mor Absa Mottron, Laurent |
author_sort | Gagnon, David |
collection | PubMed |
description | Early regression (ER) is often reported in autistic children with a prototypical phenotype and has been proposed as a possible pathognomonic sign present in most autistic children. Despite the uncertainties attached to its definition and report, using ER to anchor the autism phenotype could help identify the signs that best contribute to an autism diagnosis. We extracted retrospective data from 1547 autistic children between the ages of 6 and 18 years from the Simons Simplex collection. Logistic regression identified the atypicalities associated with a history of ER. Stepwise variable selection using logistic regression analysis followed by a bootstrap procedure of 1000 iterations identified the cluster of atypicalities best associated with ER. Linear and logistic regressions measured the association between combinations of atypicalities within the identified cluster and adaptative behaviors, diagnostic areas of severity, and other categories. Seven atypicalities significantly increased the likelihood of having experienced ER (OR = 1.73–2.13). Four (“hand leading—ever”, “pronominal reversal—ever”, “never shakes head at age 4–5” and “stereotypic use of objects or interest in parts of objects—ever”), when grouped together, best characterized the phenotype of verbal autistic children with ER. This clustering of signs was associated with certain persistent language difficulties, higher summary scores on a diagnostic scale for autism, and greater odds of receiving an “autistic disorder” diagnosis instead of another pervasive developmental disorder (PDD) diagnosis. These results raise questions about using language as a clinical specifier, defining cross-sectional signs independent of their relationship with an early developmental trajectory, and relying on polythetic criteria or equivalent weighted autistic atypicalities. |
format | Online Article Text |
id | pubmed-9715666 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97156662022-12-03 Using developmental regression to reorganize the clinical importance of autistic atypicalities Gagnon, David Zeribi, Abderrahim Douard, Élise Courchesne, Valérie Huguet, Guillaume Jacquemont, Sébastien Loum, Mor Absa Mottron, Laurent Transl Psychiatry Article Early regression (ER) is often reported in autistic children with a prototypical phenotype and has been proposed as a possible pathognomonic sign present in most autistic children. Despite the uncertainties attached to its definition and report, using ER to anchor the autism phenotype could help identify the signs that best contribute to an autism diagnosis. We extracted retrospective data from 1547 autistic children between the ages of 6 and 18 years from the Simons Simplex collection. Logistic regression identified the atypicalities associated with a history of ER. Stepwise variable selection using logistic regression analysis followed by a bootstrap procedure of 1000 iterations identified the cluster of atypicalities best associated with ER. Linear and logistic regressions measured the association between combinations of atypicalities within the identified cluster and adaptative behaviors, diagnostic areas of severity, and other categories. Seven atypicalities significantly increased the likelihood of having experienced ER (OR = 1.73–2.13). Four (“hand leading—ever”, “pronominal reversal—ever”, “never shakes head at age 4–5” and “stereotypic use of objects or interest in parts of objects—ever”), when grouped together, best characterized the phenotype of verbal autistic children with ER. This clustering of signs was associated with certain persistent language difficulties, higher summary scores on a diagnostic scale for autism, and greater odds of receiving an “autistic disorder” diagnosis instead of another pervasive developmental disorder (PDD) diagnosis. These results raise questions about using language as a clinical specifier, defining cross-sectional signs independent of their relationship with an early developmental trajectory, and relying on polythetic criteria or equivalent weighted autistic atypicalities. Nature Publishing Group UK 2022-12-01 /pmc/articles/PMC9715666/ /pubmed/36456542 http://dx.doi.org/10.1038/s41398-022-02263-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Gagnon, David Zeribi, Abderrahim Douard, Élise Courchesne, Valérie Huguet, Guillaume Jacquemont, Sébastien Loum, Mor Absa Mottron, Laurent Using developmental regression to reorganize the clinical importance of autistic atypicalities |
title | Using developmental regression to reorganize the clinical importance of autistic atypicalities |
title_full | Using developmental regression to reorganize the clinical importance of autistic atypicalities |
title_fullStr | Using developmental regression to reorganize the clinical importance of autistic atypicalities |
title_full_unstemmed | Using developmental regression to reorganize the clinical importance of autistic atypicalities |
title_short | Using developmental regression to reorganize the clinical importance of autistic atypicalities |
title_sort | using developmental regression to reorganize the clinical importance of autistic atypicalities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715666/ https://www.ncbi.nlm.nih.gov/pubmed/36456542 http://dx.doi.org/10.1038/s41398-022-02263-8 |
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