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dc.contributor.authorSendín Hernández, María Paz
dc.contributor.authorÁvila Zarza, Carmelo A. 
dc.contributor.authorSanz Lozano, Catalina Sofía 
dc.contributor.authorGarcía Sánchez, Asunción
dc.contributor.authorMarcos-Vadillo, Elena
dc.contributor.authorMuñoz Bellido, Francisco Javier 
dc.contributor.authorLaffond Yges, María Elena 
dc.contributor.authorDomingo, Christian
dc.contributor.authorIsidoro García, María 
dc.contributor.authorDávila González, Ignacio Jesús 
dc.date.accessioned2024-02-07T10:26:06Z
dc.date.available2024-02-07T10:26:06Z
dc.date.issued2018
dc.identifier.citationSendín-Hernández MP, Ávila-Zarza C, Sanz C, García-Sánchez A, Marcos-Vadillo E, Muñoz-Bellido FJ, Laffond E, Domingo C, Isidoro-García M, Dávila I. Cluster Analysis Identifies 3 Phenotypes within Allergic Asthma. J Allergy Clin Immunol Pract. 2018 May-Jun;6(3):955-961.e1. doi: 10.1016/j.jaip.2017.10.006. Epub 2017 Nov 10. PMID: 29133218.es_ES
dc.identifier.issn2213-2198
dc.identifier.urihttp://hdl.handle.net/10366/155482
dc.description.abstract[EN]Background: Asthma is a heterogeneous chronic disease with different clinical expressions and responses to treatment. In recent years, several unbiased approaches based on clinical, physiological, and molecular features have described several phenotypes of asthma. Some phenotypes are allergic, but little is known about whether these phenotypes can be further subdivided. Objective: We aimed to phenotype patients with allergic asthma using an unbiased approach based on multivariate classification techniques (unsupervised hierarchical cluster analysis). Methods: From a total of 54 variables of 225 patients with well-characterized allergic asthma diagnosed following American Thoracic Society (ATS) recommendation, positive skin prick test to aeroallergens, and concordant symptoms, we finally selected 19 variables by multiple correspondence analyses. Then a cluster analysis was performed. Results: Three groups were identified. Cluster 1 was constituted by patients with intermittent or mild persistent asthma, without family antecedents of atopy, asthma, or rhinitis. This group showed the lowest total IgE levels. Cluster 2 was constituted by patients with mild asthma with a family history of atopy, asthma, or rhinitis. Total IgE levels were intermediate. Cluster 3 included patients with moderate or severe persistent asthma that needed treatment with corticosteroids and long-acting β-agonists. This group showed the highest total IgE levels. Conclusions: We identified 3 phenotypes of allergic asthma in our population. Furthermore, we described 2 phenotypes of mild atopic asthma mainly differentiated by a family history of allergy.es_ES
dc.language.isoenges_ES
dc.publisherElsevier [Commercial Publisher]es_ES
dc.subjectAllergic asthmaes_ES
dc.subjectCluster analysis; Inheritancees_ES
dc.subjectPhenotypes.es_ES
dc.titleCluster Analysis Identifies 3 Phenotypes within Allergic Asthma.es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://doi.org/10.1016/j.jaip.2017.10.006es_ES
dc.identifier.doi10.1016/j.jaip.2017.10.006
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleThe Journal of Allergy and Clinical Immunology: In Practicees_ES
dc.volume.number6es_ES
dc.issue.number3es_ES
dc.page.initial955es_ES
dc.page.final961.e1es_ES
dc.type.hasVersioninfo:eu-repo/semantics/draftes_ES


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