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Phenotypes of asthma in low-income children and adolescents: cluster analysis

OBJECTIVE: Studies characterizing asthma phenotypes have predominantly included adults or have involved children and adolescents in developed countries. Therefore, their applicability in other populations, such as those of developing countries, remains indeterminate. Our objective was to determine h...

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Autores principales: Cabral, Anna Lucia Barros, Sousa, Andrey Wirgues, Mendes, Felipe Augusto Rodrigues, de Carvalho, Celso Ricardo Fernandes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Pneumologia e Tisiologia 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5790664/
https://www.ncbi.nlm.nih.gov/pubmed/28125150
http://dx.doi.org/10.1590/S1806-37562016000000039
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author Cabral, Anna Lucia Barros
Sousa, Andrey Wirgues
Mendes, Felipe Augusto Rodrigues
de Carvalho, Celso Ricardo Fernandes
author_facet Cabral, Anna Lucia Barros
Sousa, Andrey Wirgues
Mendes, Felipe Augusto Rodrigues
de Carvalho, Celso Ricardo Fernandes
author_sort Cabral, Anna Lucia Barros
collection PubMed
description OBJECTIVE: Studies characterizing asthma phenotypes have predominantly included adults or have involved children and adolescents in developed countries. Therefore, their applicability in other populations, such as those of developing countries, remains indeterminate. Our objective was to determine how low-income children and adolescents with asthma in Brazil are distributed across a cluster analysis. METHODS: We included 306 children and adolescents (6-18 years of age) with a clinical diagnosis of asthma and under medical treatment for at least one year of follow-up. At enrollment, all the patients were clinically stable. For the cluster analysis, we selected 20 variables commonly measured in clinical practice and considered important in defining asthma phenotypes. Variables with high multicollinearity were excluded. A cluster analysis was applied using a twostep agglomerative test and log-likelihood distance measure. RESULTS: Three clusters were defined for our population. Cluster 1 (n = 94) included subjects with normal pulmonary function, mild eosinophil inflammation, few exacerbations, later age at asthma onset, and mild atopy. Cluster 2 (n = 87) included those with normal pulmonary function, a moderate number of exacerbations, early age at asthma onset, more severe eosinophil inflammation, and moderate atopy. Cluster 3 (n = 108) included those with poor pulmonary function, frequent exacerbations, severe eosinophil inflammation, and severe atopy. CONCLUSIONS: Asthma was characterized by the presence of atopy, number of exacerbations, and lung function in low-income children and adolescents in Brazil. The many similarities with previous cluster analyses of phenotypes indicate that this approach shows good generalizability.
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spelling pubmed-57906642018-02-02 Phenotypes of asthma in low-income children and adolescents: cluster analysis Cabral, Anna Lucia Barros Sousa, Andrey Wirgues Mendes, Felipe Augusto Rodrigues de Carvalho, Celso Ricardo Fernandes J Bras Pneumol Original Article OBJECTIVE: Studies characterizing asthma phenotypes have predominantly included adults or have involved children and adolescents in developed countries. Therefore, their applicability in other populations, such as those of developing countries, remains indeterminate. Our objective was to determine how low-income children and adolescents with asthma in Brazil are distributed across a cluster analysis. METHODS: We included 306 children and adolescents (6-18 years of age) with a clinical diagnosis of asthma and under medical treatment for at least one year of follow-up. At enrollment, all the patients were clinically stable. For the cluster analysis, we selected 20 variables commonly measured in clinical practice and considered important in defining asthma phenotypes. Variables with high multicollinearity were excluded. A cluster analysis was applied using a twostep agglomerative test and log-likelihood distance measure. RESULTS: Three clusters were defined for our population. Cluster 1 (n = 94) included subjects with normal pulmonary function, mild eosinophil inflammation, few exacerbations, later age at asthma onset, and mild atopy. Cluster 2 (n = 87) included those with normal pulmonary function, a moderate number of exacerbations, early age at asthma onset, more severe eosinophil inflammation, and moderate atopy. Cluster 3 (n = 108) included those with poor pulmonary function, frequent exacerbations, severe eosinophil inflammation, and severe atopy. CONCLUSIONS: Asthma was characterized by the presence of atopy, number of exacerbations, and lung function in low-income children and adolescents in Brazil. The many similarities with previous cluster analyses of phenotypes indicate that this approach shows good generalizability. Sociedade Brasileira de Pneumologia e Tisiologia 2017 /pmc/articles/PMC5790664/ /pubmed/28125150 http://dx.doi.org/10.1590/S1806-37562016000000039 Text en http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License
spellingShingle Original Article
Cabral, Anna Lucia Barros
Sousa, Andrey Wirgues
Mendes, Felipe Augusto Rodrigues
de Carvalho, Celso Ricardo Fernandes
Phenotypes of asthma in low-income children and adolescents: cluster analysis
title Phenotypes of asthma in low-income children and adolescents: cluster analysis
title_full Phenotypes of asthma in low-income children and adolescents: cluster analysis
title_fullStr Phenotypes of asthma in low-income children and adolescents: cluster analysis
title_full_unstemmed Phenotypes of asthma in low-income children and adolescents: cluster analysis
title_short Phenotypes of asthma in low-income children and adolescents: cluster analysis
title_sort phenotypes of asthma in low-income children and adolescents: cluster analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5790664/
https://www.ncbi.nlm.nih.gov/pubmed/28125150
http://dx.doi.org/10.1590/S1806-37562016000000039
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