Cargando…

Autism and classification systems: a study of 84 children

BACKGROUND: A number of studies have shown that current classification systems (ICD 10, DSM IV TR) have limitation when applied to autistic children and the category PDD NOS (DSM IV TR) has in particular been criticized. To check the possible usefulness of other classification systems to better desc...

Descripción completa

Detalles Bibliográficos
Autores principales: Chiappedi, Matteo, Rossi, Giorgio, Rossi, Maura, Bejor, Maurizio, Balottin, Umberto
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2824795/
https://www.ncbi.nlm.nih.gov/pubmed/20205822
http://dx.doi.org/10.1186/1824-7288-36-10
_version_ 1782177737751920640
author Chiappedi, Matteo
Rossi, Giorgio
Rossi, Maura
Bejor, Maurizio
Balottin, Umberto
author_facet Chiappedi, Matteo
Rossi, Giorgio
Rossi, Maura
Bejor, Maurizio
Balottin, Umberto
author_sort Chiappedi, Matteo
collection PubMed
description BACKGROUND: A number of studies have shown that current classification systems (ICD 10, DSM IV TR) have limitation when applied to autistic children and the category PDD NOS (DSM IV TR) has in particular been criticized. To check the possible usefulness of other classification systems to better describe patient's functioning, we retrospectively studied 84 patients, seen consecutively in our Child Neurology and Psychiatry Department (excluding only those presenting for another disease even if with clinical signs of a PDD). METHODS: We tried to classify them according to ICD 10, DSM IV TR, CFTMEA-R, "operational classification" (Manzano and Palacio) and de Ajuriaguerra's classification. RESULTS: We found a good correspondence between DSM IV TR and ICD 10 and the use of psychodynamic classification systems (in particular CFTMEA-R) was useful to differentiate clinical subtypes collected under the PDD NOS etiquette according to DSM IV TR. CONCLUSIONS: To rationalize research efforts and find better tailored therapies, we need to improve PDD classification systems, using contributions coming from every field of child psychiatry and neurology: it's possible that 0-3 Classification could help this.
format Text
id pubmed-2824795
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-28247952010-02-20 Autism and classification systems: a study of 84 children Chiappedi, Matteo Rossi, Giorgio Rossi, Maura Bejor, Maurizio Balottin, Umberto Ital J Pediatr Research BACKGROUND: A number of studies have shown that current classification systems (ICD 10, DSM IV TR) have limitation when applied to autistic children and the category PDD NOS (DSM IV TR) has in particular been criticized. To check the possible usefulness of other classification systems to better describe patient's functioning, we retrospectively studied 84 patients, seen consecutively in our Child Neurology and Psychiatry Department (excluding only those presenting for another disease even if with clinical signs of a PDD). METHODS: We tried to classify them according to ICD 10, DSM IV TR, CFTMEA-R, "operational classification" (Manzano and Palacio) and de Ajuriaguerra's classification. RESULTS: We found a good correspondence between DSM IV TR and ICD 10 and the use of psychodynamic classification systems (in particular CFTMEA-R) was useful to differentiate clinical subtypes collected under the PDD NOS etiquette according to DSM IV TR. CONCLUSIONS: To rationalize research efforts and find better tailored therapies, we need to improve PDD classification systems, using contributions coming from every field of child psychiatry and neurology: it's possible that 0-3 Classification could help this. BioMed Central 2010-01-29 /pmc/articles/PMC2824795/ /pubmed/20205822 http://dx.doi.org/10.1186/1824-7288-36-10 Text en Copyright ©2010 Chiappedi et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Chiappedi, Matteo
Rossi, Giorgio
Rossi, Maura
Bejor, Maurizio
Balottin, Umberto
Autism and classification systems: a study of 84 children
title Autism and classification systems: a study of 84 children
title_full Autism and classification systems: a study of 84 children
title_fullStr Autism and classification systems: a study of 84 children
title_full_unstemmed Autism and classification systems: a study of 84 children
title_short Autism and classification systems: a study of 84 children
title_sort autism and classification systems: a study of 84 children
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2824795/
https://www.ncbi.nlm.nih.gov/pubmed/20205822
http://dx.doi.org/10.1186/1824-7288-36-10
work_keys_str_mv AT chiappedimatteo autismandclassificationsystemsastudyof84children
AT rossigiorgio autismandclassificationsystemsastudyof84children
AT rossimaura autismandclassificationsystemsastudyof84children
AT bejormaurizio autismandclassificationsystemsastudyof84children
AT balottinumberto autismandclassificationsystemsastudyof84children