Blood neutrophil counts define specific clusters of bronchiectasis patients: A hint to differential clinical phenotypes

We sought to investigate differential phenotypic characteristics according to neutrophil counts, using a biostatistics approach in a large-cohort study from the Spanish Online Bronchiectasis Registry (RIBRON). The 1034 patients who met the inclusion criteria were clustered into two groups on the bas...

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Autores: Wang, Xuejie, Olveira, Casilda, Girón, Rosa, García-Clemente, Marta, Máiz, Luis, Sibila, Oriol, Golpe, Rafael, Menéndez, Rosario, Rodríguez-López, Juan, Prados, Concepción, Martínez-González, Miguel Ángel, 1957-, Rodriguez, Juan Luis, Rosa, David de la, Qin, Liyun, Duran Jordà, Xavier, 1974-, García Ojalvo, Jordi, Barreiro Portela, Esther
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/53511
Acceso en línea:http://hdl.handle.net/10230/53511
http://dx.doi.org/10.3390/biomedicines10051044
Access Level:acceso abierto
Palabra clave:Biostatistics analyses
Bronchiectasis
Bronchiectasis severity scores
Clinical outcomes
Multivariate analyses
Neutrophilic inflammation
Phenotypic clusters
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spelling Blood neutrophil counts define specific clusters of bronchiectasis patients: A hint to differential clinical phenotypesWang, XuejieOlveira, CasildaGirón, RosaGarcía-Clemente, MartaMáiz, LuisSibila, OriolGolpe, RafaelMenéndez, RosarioRodríguez-López, JuanPrados, ConcepciónMartínez-González, Miguel Ángel, 1957-Rodriguez, Juan LuisRosa, David de laQin, LiyunDuran Jordà, Xavier, 1974-García Ojalvo, JordiBarreiro Portela, EstherBiostatistics analysesBronchiectasisBronchiectasis severity scoresClinical outcomesMultivariate analysesNeutrophilic inflammationPhenotypic clustersWe sought to investigate differential phenotypic characteristics according to neutrophil counts, using a biostatistics approach in a large-cohort study from the Spanish Online Bronchiectasis Registry (RIBRON). The 1034 patients who met the inclusion criteria were clustered into two groups on the basis of their blood neutrophil levels. Using the Mann-Whitney U test to explore potential differences according to FACED and EFACED scores between the two groups, a neutrophil count of 4990 cells/µL yielded the most balanced cluster sizes: (1) above-threshold (n = 337) and (2) below-threshold (n = 697) groups. Patients above the threshold showed significantly worse lung function parameters and nutritional status, while systemic inflammation levels were higher than in the below-threshold patients. In the latter group, the proportions of patients with mild disease were greater, while a more severe disease was present in the above-threshold patients. According to the blood neutrophil counts using biostatistics analyses, two distinct clinical phenotypes of stable patients with non-CF bronchiectasis were defined. Patients falling into the above-threshold cluster were more severe. Severity was characterized by a significantly impaired lung function parameters and nutritional status, and greater systemic inflammation. Phenotypic profiles of bronchiectasis patients are well defined as a result of the cluster analysis of combined systemic and respiratory variables.This study has been supported by Project FIS 18/00075 funded by Instituto de Salud Carlos III (ISCIII) and co-funded by the European Union; Project FIS 21/00215 funded by Instituto de Salud Carlos III and co-funded by the European Union; CIBERES 2021 funded by Instituto de Salud Carlos III (ISCIII); Sociedad Española de Neumología y Cirugía Torácica: SEPAR2020; Zambon (Spain): 2020; Ministerio de Ciencia y Tecnología: PGC 2018-101251-B-I00; Ministerio de Ciencia y Tecnología: CEX2018-000792-M.MDPI202220222022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/53511http://dx.doi.org/10.3390/biomedicines10051044reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésBiomedicines. 2022 Apr 30;10(5):1044info:eu-repo/grantAgreement/ES/2PE/PGC2018-101251-B-I00© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/535112026-06-12T07:21:37Z
dc.title.none.fl_str_mv Blood neutrophil counts define specific clusters of bronchiectasis patients: A hint to differential clinical phenotypes
title Blood neutrophil counts define specific clusters of bronchiectasis patients: A hint to differential clinical phenotypes
spellingShingle Blood neutrophil counts define specific clusters of bronchiectasis patients: A hint to differential clinical phenotypes
Wang, Xuejie
Biostatistics analyses
Bronchiectasis
Bronchiectasis severity scores
Clinical outcomes
Multivariate analyses
Neutrophilic inflammation
Phenotypic clusters
title_short Blood neutrophil counts define specific clusters of bronchiectasis patients: A hint to differential clinical phenotypes
title_full Blood neutrophil counts define specific clusters of bronchiectasis patients: A hint to differential clinical phenotypes
title_fullStr Blood neutrophil counts define specific clusters of bronchiectasis patients: A hint to differential clinical phenotypes
title_full_unstemmed Blood neutrophil counts define specific clusters of bronchiectasis patients: A hint to differential clinical phenotypes
title_sort Blood neutrophil counts define specific clusters of bronchiectasis patients: A hint to differential clinical phenotypes
dc.creator.none.fl_str_mv Wang, Xuejie
Olveira, Casilda
Girón, Rosa
García-Clemente, Marta
Máiz, Luis
Sibila, Oriol
Golpe, Rafael
Menéndez, Rosario
Rodríguez-López, Juan
Prados, Concepción
Martínez-González, Miguel Ángel, 1957-
Rodriguez, Juan Luis
Rosa, David de la
Qin, Liyun
Duran Jordà, Xavier, 1974-
García Ojalvo, Jordi
Barreiro Portela, Esther
author Wang, Xuejie
author_facet Wang, Xuejie
Olveira, Casilda
Girón, Rosa
García-Clemente, Marta
Máiz, Luis
Sibila, Oriol
Golpe, Rafael
Menéndez, Rosario
Rodríguez-López, Juan
Prados, Concepción
Martínez-González, Miguel Ángel, 1957-
Rodriguez, Juan Luis
Rosa, David de la
Qin, Liyun
Duran Jordà, Xavier, 1974-
García Ojalvo, Jordi
Barreiro Portela, Esther
author_role author
author2 Olveira, Casilda
Girón, Rosa
García-Clemente, Marta
Máiz, Luis
Sibila, Oriol
Golpe, Rafael
Menéndez, Rosario
Rodríguez-López, Juan
Prados, Concepción
Martínez-González, Miguel Ángel, 1957-
Rodriguez, Juan Luis
Rosa, David de la
Qin, Liyun
Duran Jordà, Xavier, 1974-
García Ojalvo, Jordi
Barreiro Portela, Esther
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Biostatistics analyses
Bronchiectasis
Bronchiectasis severity scores
Clinical outcomes
Multivariate analyses
Neutrophilic inflammation
Phenotypic clusters
topic Biostatistics analyses
Bronchiectasis
Bronchiectasis severity scores
Clinical outcomes
Multivariate analyses
Neutrophilic inflammation
Phenotypic clusters
description We sought to investigate differential phenotypic characteristics according to neutrophil counts, using a biostatistics approach in a large-cohort study from the Spanish Online Bronchiectasis Registry (RIBRON). The 1034 patients who met the inclusion criteria were clustered into two groups on the basis of their blood neutrophil levels. Using the Mann-Whitney U test to explore potential differences according to FACED and EFACED scores between the two groups, a neutrophil count of 4990 cells/µL yielded the most balanced cluster sizes: (1) above-threshold (n = 337) and (2) below-threshold (n = 697) groups. Patients above the threshold showed significantly worse lung function parameters and nutritional status, while systemic inflammation levels were higher than in the below-threshold patients. In the latter group, the proportions of patients with mild disease were greater, while a more severe disease was present in the above-threshold patients. According to the blood neutrophil counts using biostatistics analyses, two distinct clinical phenotypes of stable patients with non-CF bronchiectasis were defined. Patients falling into the above-threshold cluster were more severe. Severity was characterized by a significantly impaired lung function parameters and nutritional status, and greater systemic inflammation. Phenotypic profiles of bronchiectasis patients are well defined as a result of the cluster analysis of combined systemic and respiratory variables.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/53511
http://dx.doi.org/10.3390/biomedicines10051044
url http://hdl.handle.net/10230/53511
http://dx.doi.org/10.3390/biomedicines10051044
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Biomedicines. 2022 Apr 30;10(5):1044
info:eu-repo/grantAgreement/ES/2PE/PGC2018-101251-B-I00
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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