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FASE-CPHG Study: identification of asthma phenotypes in the French Severe Asthma Study using cluster analysis
BACKGROUND: In France, data regarding epidemiology and management of severe asthma are scarce. The objective of this study was to describe asthma phenotypes using a cluster analysis in severe asthmatics recruited in a real world setting. METHODS: The study design was prospective, observational and m...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097842/ https://www.ncbi.nlm.nih.gov/pubmed/33947403 http://dx.doi.org/10.1186/s12931-021-01723-x |
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author | Raherison-Semjen, Chantal Parrat, Eric Nocent-Eijnani, Cécilia Mangiapan, Gilles Prudhomme, Anne Oster, Jean-Philippe Aperre de Vecchi, Corinne Maurer, Cyril Debieuvre, Didier Portel, Laurent |
author_facet | Raherison-Semjen, Chantal Parrat, Eric Nocent-Eijnani, Cécilia Mangiapan, Gilles Prudhomme, Anne Oster, Jean-Philippe Aperre de Vecchi, Corinne Maurer, Cyril Debieuvre, Didier Portel, Laurent |
author_sort | Raherison-Semjen, Chantal |
collection | PubMed |
description | BACKGROUND: In France, data regarding epidemiology and management of severe asthma are scarce. The objective of this study was to describe asthma phenotypes using a cluster analysis in severe asthmatics recruited in a real world setting. METHODS: The study design was prospective, observational and multicentric. The patients included were adults with severe asthma (GINA 4–5) followed-up in French Non Academic Hospital between May 2016 and June 2017. One hundred and seven physicians included 1502 patients. Both sociodemographic and clinical variables were collected. Hierarchical cluster analysis was performed by the Ward method followed by k-means cluster analysis on a population of 1424 patients. RESULTS: Five clusters were identified: cluster 1 (n = 690, 47%) called early onset allergic asthma (47.5% with asthma before 12 years), cluster 2 (n = 153, 10.5%): obese asthma (63.5% with BMI > 30 kg/m(2)), cluster 3 (n = 299, 20.4%): late-onset asthma with severe obstructive syndrome (89% without atopy), cluster 4 (n = 143, 9.8%): eosinophilic asthma (51.7% had more than 500 eosinophils/mm(3)), and cluster 5 (n = 139, 9.5%): aspirin sensitivity asthma (63% had severe asthma attacks). CONCLUSIONS: In our population of adults with severe asthma followed by pulmonologists, five distinct phenotypes were identified and are quite different from those mentioned in previous studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-021-01723-x. |
format | Online Article Text |
id | pubmed-8097842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80978422021-05-05 FASE-CPHG Study: identification of asthma phenotypes in the French Severe Asthma Study using cluster analysis Raherison-Semjen, Chantal Parrat, Eric Nocent-Eijnani, Cécilia Mangiapan, Gilles Prudhomme, Anne Oster, Jean-Philippe Aperre de Vecchi, Corinne Maurer, Cyril Debieuvre, Didier Portel, Laurent Respir Res Research BACKGROUND: In France, data regarding epidemiology and management of severe asthma are scarce. The objective of this study was to describe asthma phenotypes using a cluster analysis in severe asthmatics recruited in a real world setting. METHODS: The study design was prospective, observational and multicentric. The patients included were adults with severe asthma (GINA 4–5) followed-up in French Non Academic Hospital between May 2016 and June 2017. One hundred and seven physicians included 1502 patients. Both sociodemographic and clinical variables were collected. Hierarchical cluster analysis was performed by the Ward method followed by k-means cluster analysis on a population of 1424 patients. RESULTS: Five clusters were identified: cluster 1 (n = 690, 47%) called early onset allergic asthma (47.5% with asthma before 12 years), cluster 2 (n = 153, 10.5%): obese asthma (63.5% with BMI > 30 kg/m(2)), cluster 3 (n = 299, 20.4%): late-onset asthma with severe obstructive syndrome (89% without atopy), cluster 4 (n = 143, 9.8%): eosinophilic asthma (51.7% had more than 500 eosinophils/mm(3)), and cluster 5 (n = 139, 9.5%): aspirin sensitivity asthma (63% had severe asthma attacks). CONCLUSIONS: In our population of adults with severe asthma followed by pulmonologists, five distinct phenotypes were identified and are quite different from those mentioned in previous studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-021-01723-x. BioMed Central 2021-05-04 2021 /pmc/articles/PMC8097842/ /pubmed/33947403 http://dx.doi.org/10.1186/s12931-021-01723-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Raherison-Semjen, Chantal Parrat, Eric Nocent-Eijnani, Cécilia Mangiapan, Gilles Prudhomme, Anne Oster, Jean-Philippe Aperre de Vecchi, Corinne Maurer, Cyril Debieuvre, Didier Portel, Laurent FASE-CPHG Study: identification of asthma phenotypes in the French Severe Asthma Study using cluster analysis |
title | FASE-CPHG Study: identification of asthma phenotypes in the French Severe Asthma Study using cluster analysis |
title_full | FASE-CPHG Study: identification of asthma phenotypes in the French Severe Asthma Study using cluster analysis |
title_fullStr | FASE-CPHG Study: identification of asthma phenotypes in the French Severe Asthma Study using cluster analysis |
title_full_unstemmed | FASE-CPHG Study: identification of asthma phenotypes in the French Severe Asthma Study using cluster analysis |
title_short | FASE-CPHG Study: identification of asthma phenotypes in the French Severe Asthma Study using cluster analysis |
title_sort | fase-cphg study: identification of asthma phenotypes in the french severe asthma study using cluster analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097842/ https://www.ncbi.nlm.nih.gov/pubmed/33947403 http://dx.doi.org/10.1186/s12931-021-01723-x |
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