Evidence for two clusters among non-eosinophilic asthmatics.

Non eosinophilic asthma – clustering – smoking – atopy

Journal

Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology
ISSN: 1534-4436
Titre abrégé: Ann Allergy Asthma Immunol
Pays: United States
ID NLM: 9503580

Informations de publication

Date de publication:
16 Mar 2024
Historique:
received: 05 01 2024
revised: 13 03 2024
accepted: 13 03 2024
medline: 19 3 2024
pubmed: 19 3 2024
entrez: 18 3 2024
Statut: aheadofprint

Résumé

Although asthma is often seen as an eosinophilic disease associated with atopy non eosinophilic asthmatics represent a substantial part of asthmatic population. Here we have applied an unsupervised clustering method on a cohort of 588 non eosinophilic asthmatics (sputum eosinophils <3%) recruited from an asthma clinic of a secondary care center. Our cluster analysis of the whole cohort identified two subgroups as cluster 1 (n=417) and cluster 2 (n=171). Cluster 1 consisted of a dominant female group with a late disease onset, a low proportion of atopy (24%) and a substantial smoking history (53%). In this cluster, treatment burden was low (<50% of ICS users), asthma control and quality of life was poor with median ACT, ACQ and AQLQ of 16 and 1,7 and 4,5 respectively whereas lung function was preserved with a median post bronchodilation FEV1 of 93% predicted. Cluster 2 was a dominant male group, almost exclusively composed of atopic patients (99%) with early disease onset and a moderate treatment burden (median ICS dose 800 µg/d equivalent beclomethasone). In cluster 2 asthma was partially controlled with median ACT and ACQ reaching 18 and 1.3 respectively and lung function well preserved with a median post bronchodilation 95% predicted. While systemic and airway neutrophilic inflammation was the dominant pattern in cluster 1, cluster 2 essentially comprised paucigranulocytic asthma with moderately elevated FeNO. Non eosinophilic asthma splits in two clusters distinguishing by disease onset, atopic status, smoking history, systemic and airway inflammation and disease control and quality of life.

Sections du résumé

BACKGROUND BACKGROUND
Although asthma is often seen as an eosinophilic disease associated with atopy non eosinophilic asthmatics represent a substantial part of asthmatic population.
OBJECTIVE OBJECTIVE
Here we have applied an unsupervised clustering method on a cohort of 588 non eosinophilic asthmatics (sputum eosinophils <3%) recruited from an asthma clinic of a secondary care center.
METHODS METHODS
Our cluster analysis of the whole cohort identified two subgroups as cluster 1 (n=417) and cluster 2 (n=171).
RESULTS RESULTS
Cluster 1 consisted of a dominant female group with a late disease onset, a low proportion of atopy (24%) and a substantial smoking history (53%). In this cluster, treatment burden was low (<50% of ICS users), asthma control and quality of life was poor with median ACT, ACQ and AQLQ of 16 and 1,7 and 4,5 respectively whereas lung function was preserved with a median post bronchodilation FEV1 of 93% predicted. Cluster 2 was a dominant male group, almost exclusively composed of atopic patients (99%) with early disease onset and a moderate treatment burden (median ICS dose 800 µg/d equivalent beclomethasone). In cluster 2 asthma was partially controlled with median ACT and ACQ reaching 18 and 1.3 respectively and lung function well preserved with a median post bronchodilation 95% predicted. While systemic and airway neutrophilic inflammation was the dominant pattern in cluster 1, cluster 2 essentially comprised paucigranulocytic asthma with moderately elevated FeNO.
CONCLUSION CONCLUSIONS
Non eosinophilic asthma splits in two clusters distinguishing by disease onset, atopic status, smoking history, systemic and airway inflammation and disease control and quality of life.

Identifiants

pubmed: 38499060
pii: S1081-1206(24)00154-6
doi: 10.1016/j.anai.2024.03.012
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest R. Louis reports an educational grant and lecture fees from GSK, a research grant and advisory board fees from AZ, a research grant from Chiesi and a research grant and advisory board fees from Novartis, outside the submitted work. F. Schleich reports lecture and advisory board fees from GSK, AZ, Chiesi and Novartis, outside the submitted work.

Auteurs

Halehsadat Nekoee Zahraei (HN)

Biostatistics Unit, Department of Public Health, University of Liège, Belgium; Department of Pneumology, GIGA, University of Liège, Belgium.

Florence Schleich (F)

Department of Pneumology, GIGA, University of Liège, Belgium.

Gilles Louis (G)

Department of Public Health, University of Liège, Belgium.

Sara Gerday (S)

Department of Pneumology, GIGA, University of Liège, Belgium.

Mare Sabbe (M)

Department of Pneumology, GIGA, University of Liège, Belgium.

Nicolas Bougard (N)

Department of Pneumology, GIGA, University of Liège, Belgium.

Françoise Guissard (F)

Department of Pneumology, GIGA, University of Liège, Belgium.

Virginie Paulus (V)

Department of Pneumology, GIGA, University of Liège, Belgium.

Monique Henket (M)

Department of Pneumology, GIGA, University of Liège, Belgium.

Benoit Petre (B)

Department of Public Health, University of Liège, Belgium.

Anne-Françoise Donneau (AF)

Biostatistics Unit, Department of Public Health, University of Liège, Belgium.

Renaud Louis (R)

Department of Pneumology, GIGA, University of Liège, Belgium. Electronic address: R.Louis@uliege.be.

Classifications MeSH