How reliably can algorithms identify eosinophilic asthma phenotypes using non-invasive biomarkers?

Background and Aims Asthma is a heterogeneous respiratory disease that encompasses different inflammatory and functional endophenotypes. Many non-invasive biomarkers has been investigated to its pathobiology. Heany et al proposed a clinical algorithm that classifies severe asthmatic patients into li...

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Autores: Betancor, D, Olaguibel, JM, Rodrigo-Munoz, JM, Arismendi, E, Barranco, P, Barroso, B, Bobolea, I, Cardaba, B, Cruz, MJ, Curto, E, Del Pozo, V, Gonzalez-Barcala, FJ, Martinez-Rivera, C, Mullol, J, Munoz, X, Picado, C, Plaza, V, Quirce, S, Rial, MJ, Soto, L, Valero, A, Valverde-Monge, M, Sastre, J
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau)
Repositorio:r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
OAI Identifier:oai:iibsantpau.fundanetsuite.com:p12275
Acceso en línea:https://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=12275
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391921
Access Level:acceso abierto
Palabra clave:asthma
biomarkers
eosinophils
exhaled nitric oxide
non-eosinophilic
phenotypes
sputum
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spelling How reliably can algorithms identify eosinophilic asthma phenotypes using non-invasive biomarkers?Betancor, DOlaguibel, JMRodrigo-Munoz, JMArismendi, EBarranco, PBarroso, BBobolea, ICardaba, BCruz, MJCurto, EDel Pozo, VGonzalez-Barcala, FJMartinez-Rivera, CMullol, JMunoz, XPicado, CPlaza, VQuirce, SRial, MJSoto, LValero, AValverde-Monge, MSastre, Jasthmabiomarkerseosinophilsexhaled nitric oxidenon-eosinophilicphenotypessputumBackground and Aims Asthma is a heterogeneous respiratory disease that encompasses different inflammatory and functional endophenotypes. Many non-invasive biomarkers has been investigated to its pathobiology. Heany et al proposed a clinical algorithm that classifies severe asthmatic patients into likely-eosinophilic phenotypes, based on accessible biomarkers: PBE, current treatment, FeNO, presence of nasal polyps (NP) and age of onset. Materials and Methods We assessed the concordance between the algorithm proposed by Heany et al. with sputum examination, the gold standard, in 145 asthmatic patients of the MEGA cohort with varying grades of severity. Results No correlation was found between both classifications 0.025 (CI = 0.013-0.037). Moreover, no relationship was found between sputum eosinophilia and peripheral blood eosinophilia count in the total studied population. Discussion and Conclusion In conclusion, our results suggest that grouping the biomarkers proposed by Heany et al. are insufficient to diagnose eosinophilic phenotypes in asthmatic patients. Sputum analysis remains the gold standard to assess airway inflammation.WILEY2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=12275https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391921Clinical and Translational AllergyISSN: 20457022reponame:r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pauinstname:Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau)Inglésinfo:eu-repo/semantics/openAccessoai:iibsantpau.fundanetsuite.com:p122752026-06-14T12:41:47Z
dc.title.none.fl_str_mv How reliably can algorithms identify eosinophilic asthma phenotypes using non-invasive biomarkers?
title How reliably can algorithms identify eosinophilic asthma phenotypes using non-invasive biomarkers?
spellingShingle How reliably can algorithms identify eosinophilic asthma phenotypes using non-invasive biomarkers?
Betancor, D
asthma
biomarkers
eosinophils
exhaled nitric oxide
non-eosinophilic
phenotypes
sputum
title_short How reliably can algorithms identify eosinophilic asthma phenotypes using non-invasive biomarkers?
title_full How reliably can algorithms identify eosinophilic asthma phenotypes using non-invasive biomarkers?
title_fullStr How reliably can algorithms identify eosinophilic asthma phenotypes using non-invasive biomarkers?
title_full_unstemmed How reliably can algorithms identify eosinophilic asthma phenotypes using non-invasive biomarkers?
title_sort How reliably can algorithms identify eosinophilic asthma phenotypes using non-invasive biomarkers?
dc.creator.none.fl_str_mv Betancor, D
Olaguibel, JM
Rodrigo-Munoz, JM
Arismendi, E
Barranco, P
Barroso, B
Bobolea, I
Cardaba, B
Cruz, MJ
Curto, E
Del Pozo, V
Gonzalez-Barcala, FJ
Martinez-Rivera, C
Mullol, J
Munoz, X
Picado, C
Plaza, V
Quirce, S
Rial, MJ
Soto, L
Valero, A
Valverde-Monge, M
Sastre, J
author Betancor, D
author_facet Betancor, D
Olaguibel, JM
Rodrigo-Munoz, JM
Arismendi, E
Barranco, P
Barroso, B
Bobolea, I
Cardaba, B
Cruz, MJ
Curto, E
Del Pozo, V
Gonzalez-Barcala, FJ
Martinez-Rivera, C
Mullol, J
Munoz, X
Picado, C
Plaza, V
Quirce, S
Rial, MJ
Soto, L
Valero, A
Valverde-Monge, M
Sastre, J
author_role author
author2 Olaguibel, JM
Rodrigo-Munoz, JM
Arismendi, E
Barranco, P
Barroso, B
Bobolea, I
Cardaba, B
Cruz, MJ
Curto, E
Del Pozo, V
Gonzalez-Barcala, FJ
Martinez-Rivera, C
Mullol, J
Munoz, X
Picado, C
Plaza, V
Quirce, S
Rial, MJ
Soto, L
Valero, A
Valverde-Monge, M
Sastre, J
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv asthma
biomarkers
eosinophils
exhaled nitric oxide
non-eosinophilic
phenotypes
sputum
topic asthma
biomarkers
eosinophils
exhaled nitric oxide
non-eosinophilic
phenotypes
sputum
description Background and Aims Asthma is a heterogeneous respiratory disease that encompasses different inflammatory and functional endophenotypes. Many non-invasive biomarkers has been investigated to its pathobiology. Heany et al proposed a clinical algorithm that classifies severe asthmatic patients into likely-eosinophilic phenotypes, based on accessible biomarkers: PBE, current treatment, FeNO, presence of nasal polyps (NP) and age of onset. Materials and Methods We assessed the concordance between the algorithm proposed by Heany et al. with sputum examination, the gold standard, in 145 asthmatic patients of the MEGA cohort with varying grades of severity. Results No correlation was found between both classifications 0.025 (CI = 0.013-0.037). Moreover, no relationship was found between sputum eosinophilia and peripheral blood eosinophilia count in the total studied population. Discussion and Conclusion In conclusion, our results suggest that grouping the biomarkers proposed by Heany et al. are insufficient to diagnose eosinophilic phenotypes in asthmatic patients. Sputum analysis remains the gold standard to assess airway inflammation.
publishDate 2022
dc.date.none.fl_str_mv 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 https://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=12275
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391921
url https://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=12275
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391921
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv WILEY
publisher.none.fl_str_mv WILEY
dc.source.none.fl_str_mv Clinical and Translational Allergy
ISSN: 20457022
reponame:r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
instname:Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau)
instname_str Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau)
reponame_str r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
collection r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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