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| Página principal > Artículos > Artículos publicados > Phenotypic clustering in non-cystic fibrosis bronchiectasis patients : |
(Universitat Autònoma de Barcelona. Departament de Medicina) (Instituto de Investigación Biomédica de Málaga) (Instituto de Investigación Hospital Universitario de la Princesa) (Centro de Investigación Biomédica en Red de Enfermedades Respiratorias) (Hospital Universitario Lucus Augusti (Lugo)) (Hospital Universitario San Agustín (Avilés)) (Hospital Universitari i Politècnic La Fe (València)) (Universidad Complutense de Madrid. Departamento de Medicina) (Institut d'Investigació Biomèdica Sant Pau) (Institut Hospital del Mar d'Investigacions Mèdiques) (Universitat Pompeu Fabra. Departament de Ciències Experimentals i de la Salut) (Universitat Pompeu Fabra. Departament de Ciències Experimentals i de la Salut)
| Fecha: | 2021 |
| Resumen: | Whether high blood eosinophil counts may define a better phenotype in bronchiectasis patients, as shown in chronic obstructive pulmonary disease (COPD), remains to be investigated. Dif-ferential phenotypic characteristics according to eosinophil counts were assessed using a biostatistical approach in a large cohort study from the Spanish Online Bronchiectasis Registry (RIBRON). The 906 patients who met the inclusion criteria were clustered into two groups on the basis of their eosinophil levels. The potential differences according to the bronchiectasis severity index (BSI) score between two groups (Mann-Whitney U test and eosinophil count threshold: 100 cells/µL) showed the most balanced cluster sizes: above-threshold and below-threshold groups. Patients above the threshold exhibited significantly better clinical outcomes, lung function, and nutritional status, while showing lower systemic inflammation levels. The proportion of patients with mild disease was higher in the above-threshold group, while the below-threshold patients were more severe. Two distinct clinical phenotypes of stable patients with non-cystic fibrosis (CF) bronchiectasis of a wide range of disease severity were established on the basis of blood eosinophil counts using a biostatistical approach. Patients classified within the above-threshold cluster were those exhibiting a mild disease, significantly better clinical outcomes, lung function, and nutritional status while showing lower systemic inflammatory levels. These results will contribute to better characterizing bronchiectasis patients into phenotypic profiles with their clinical implications. |
| Ayudas: | Instituto de Salud Carlos III FIS 18/00075 Instituto de Salud Carlos III FIS 21/00215 Ministerio de Ciencia e Innovación PGC 2018-101251-B-I00 Ministerio de Ciencia e Innovación CEX2018-000792-M |
| Nota: | Altres ajuts: Fondo Europeo de Desarrollo Regional (FEDER); CIBERES; SEPAR 2020; ZAMBON-PHARMA, Spain; Generalitat de Catalunya (ICREA Academia programme). |
| Derechos: | Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.  |
| Lengua: | Anglès |
| Documento: | Article ; recerca ; Versió publicada |
| Materia: | Non-cystic fibrosis bronchiectasis ; Eosinophil counts ; Biostatistical analyses ; Multivariate analyses ; Clinical outcomes ; Phenotypic clusters ; Disease severity scores |
| Publicado en: | International journal of environmental research and public health, Vol. 18 Núm. 16 (february 2021) , p. 8431, ISSN 1660-4601 |
