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Determination of psychosis-related clinical profiles in children with autism spectrum disorders using latent class analysis

In children with autism spectrum disorders (ASD), high rates of idiosyncratic fears and anxiety reactions and thought disorder are thought to increase the risk of psychosis. The critical next step is to identify whether combinations of these symptoms can be used to categorise individual patients int...

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Autores principales: Kyriakopoulos, Marinos, Stringaris, Argyris, Manolesou, Sofia, Radobuljac, Maja Drobnič, Jacobs, Brian, Reichenberg, Avi, Stahl, Daniel, Simonoff, Emily, Frangou, Sophia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4224587/
https://www.ncbi.nlm.nih.gov/pubmed/24965798
http://dx.doi.org/10.1007/s00787-014-0576-1
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author Kyriakopoulos, Marinos
Stringaris, Argyris
Manolesou, Sofia
Radobuljac, Maja Drobnič
Jacobs, Brian
Reichenberg, Avi
Stahl, Daniel
Simonoff, Emily
Frangou, Sophia
author_facet Kyriakopoulos, Marinos
Stringaris, Argyris
Manolesou, Sofia
Radobuljac, Maja Drobnič
Jacobs, Brian
Reichenberg, Avi
Stahl, Daniel
Simonoff, Emily
Frangou, Sophia
author_sort Kyriakopoulos, Marinos
collection PubMed
description In children with autism spectrum disorders (ASD), high rates of idiosyncratic fears and anxiety reactions and thought disorder are thought to increase the risk of psychosis. The critical next step is to identify whether combinations of these symptoms can be used to categorise individual patients into ASD subclasses, and to test their relevance to psychosis. All patients with ASD (n = 84) admitted to a specialist national inpatient unit from 2003 to 2012 were rated for the presence or absence of impairment in affective regulation and anxiety (peculiar phobias, panic episodes, explosive reactions to anxiety), social deficits (social disinterest, avoidance or withdrawal and abnormal attachment) and thought disorder (disorganised or illogical thinking, bizarre fantasies, overvalued or delusional ideas). Latent class analysis of individual symptoms was conducted to identify ASD classes. External validation of these classes was performed using as a criterion the presence of hallucinations. Latent class analysis identified two distinct classes. Bizarre fears and anxiety reactions and thought disorder symptoms differentiated ASD patients into those with psychotic features (ASD-P: 51 %) and those without (ASD-NonP: 49 %). Hallucinations were present in 26 % of the ASD-P class but only 2.4 % of the ASD-NonP. Both the ASD-P and the ASD-NonP class benefited from inpatient treatment although inpatient stay was prolonged in the ASD-P class. This study provides the first empirically derived classification of ASD in relation to psychosis based on three underlying symptom dimensions, anxiety, social deficits and thought disorder. These results can be further developed by testing the reproducibility and prognostic value of the identified classes.
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spelling pubmed-42245872015-03-10 Determination of psychosis-related clinical profiles in children with autism spectrum disorders using latent class analysis Kyriakopoulos, Marinos Stringaris, Argyris Manolesou, Sofia Radobuljac, Maja Drobnič Jacobs, Brian Reichenberg, Avi Stahl, Daniel Simonoff, Emily Frangou, Sophia Eur Child Adolesc Psychiatry Original Contribution In children with autism spectrum disorders (ASD), high rates of idiosyncratic fears and anxiety reactions and thought disorder are thought to increase the risk of psychosis. The critical next step is to identify whether combinations of these symptoms can be used to categorise individual patients into ASD subclasses, and to test their relevance to psychosis. All patients with ASD (n = 84) admitted to a specialist national inpatient unit from 2003 to 2012 were rated for the presence or absence of impairment in affective regulation and anxiety (peculiar phobias, panic episodes, explosive reactions to anxiety), social deficits (social disinterest, avoidance or withdrawal and abnormal attachment) and thought disorder (disorganised or illogical thinking, bizarre fantasies, overvalued or delusional ideas). Latent class analysis of individual symptoms was conducted to identify ASD classes. External validation of these classes was performed using as a criterion the presence of hallucinations. Latent class analysis identified two distinct classes. Bizarre fears and anxiety reactions and thought disorder symptoms differentiated ASD patients into those with psychotic features (ASD-P: 51 %) and those without (ASD-NonP: 49 %). Hallucinations were present in 26 % of the ASD-P class but only 2.4 % of the ASD-NonP. Both the ASD-P and the ASD-NonP class benefited from inpatient treatment although inpatient stay was prolonged in the ASD-P class. This study provides the first empirically derived classification of ASD in relation to psychosis based on three underlying symptom dimensions, anxiety, social deficits and thought disorder. These results can be further developed by testing the reproducibility and prognostic value of the identified classes. Springer Berlin Heidelberg 2014-06-26 2015 /pmc/articles/PMC4224587/ /pubmed/24965798 http://dx.doi.org/10.1007/s00787-014-0576-1 Text en © Springer-Verlag Berlin Heidelberg 2014
spellingShingle Original Contribution
Kyriakopoulos, Marinos
Stringaris, Argyris
Manolesou, Sofia
Radobuljac, Maja Drobnič
Jacobs, Brian
Reichenberg, Avi
Stahl, Daniel
Simonoff, Emily
Frangou, Sophia
Determination of psychosis-related clinical profiles in children with autism spectrum disorders using latent class analysis
title Determination of psychosis-related clinical profiles in children with autism spectrum disorders using latent class analysis
title_full Determination of psychosis-related clinical profiles in children with autism spectrum disorders using latent class analysis
title_fullStr Determination of psychosis-related clinical profiles in children with autism spectrum disorders using latent class analysis
title_full_unstemmed Determination of psychosis-related clinical profiles in children with autism spectrum disorders using latent class analysis
title_short Determination of psychosis-related clinical profiles in children with autism spectrum disorders using latent class analysis
title_sort determination of psychosis-related clinical profiles in children with autism spectrum disorders using latent class analysis
topic Original Contribution
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4224587/
https://www.ncbi.nlm.nih.gov/pubmed/24965798
http://dx.doi.org/10.1007/s00787-014-0576-1
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