Exploring the relevance and extent of small airways dysfunction in asthma (ATLANTIS): baseline data from a prospective cohort study.
Adult
Asthma
/ diagnosis
Cohort Studies
Female
Humans
Internationality
Lung
/ physiopathology
Male
Malocclusion
Middle Aged
Plethysmography
Prospective Studies
Respiratory Function Tests
/ statistics & numerical data
Severity of Illness Index
Spirometry
/ statistics & numerical data
Surveys and Questionnaires
Journal
The Lancet. Respiratory medicine
ISSN: 2213-2619
Titre abrégé: Lancet Respir Med
Pays: England
ID NLM: 101605555
Informations de publication
Date de publication:
05 2019
05 2019
Historique:
received:
20
09
2018
revised:
26
11
2018
accepted:
18
12
2018
pubmed:
17
3
2019
medline:
21
4
2020
entrez:
17
3
2019
Statut:
ppublish
Résumé
Small airways dysfunction (SAD) is well recognised in asthma, yet its role in the severity and control of asthma is unclear. This study aimed to assess which combination of biomarkers, physiological tests, and imaging markers best measure the presence and extent of SAD in patients with asthma. In this baseline assessment of a multinational prospective cohort study (the Assessment of Small Airways Involvement in Asthma [ATLANTIS] study), we recruited participants with and without asthma (defined as Global Initiative for Asthma severity stages 1-5) from general practices, the databases of chest physicians, and advertisements at 29 centres across nine countries (Brazil, China, Germany, Italy, Spain, the Netherlands, the UK, the USA, and Canada). All participants were aged 18-65 years, and participants with asthma had received a clinical diagnosis of asthma more than 6 months ago that had been confirmed by a chest physician. This diagnosis required support by objective evidence at baseline or during the past 5 years, which could be: positive airway hyperresponsiveness to methacholine, positive reversibility (a change in FEV Between June 30, 2014, and March 3, 2017, we recruited and evaluated 773 participants with asthma and 99 control participants. All physiological measures contributed to the clinical SAD model with the structural equation modelling analysis. The prevalence of SAD in asthma was dependent on the measure used; we found the lowest prevalence of SAD associated with acinar airway ventilation heterogeneity (S SAD is a complex and silent signature of asthma that is likely to be directly or indirectly captured by combinations of physiological tests, such as spirometry, body plethysmography, impulse oscillometry, and multiple breath nitrogen washout. SAD is present across patients with all severities of asthma, but it is particularly prevalent in severe disease. The clinical classification of SAD into two groups (a milder and a more severe group) by use of impulse oscillometry and spirometry, which are easy to use, is meaningful given its association with GINA severity stages, asthma control, quality of life, and exacerbations. Chiesi Farmaceutici SpA.
Sections du résumé
BACKGROUND
Small airways dysfunction (SAD) is well recognised in asthma, yet its role in the severity and control of asthma is unclear. This study aimed to assess which combination of biomarkers, physiological tests, and imaging markers best measure the presence and extent of SAD in patients with asthma.
METHODS
In this baseline assessment of a multinational prospective cohort study (the Assessment of Small Airways Involvement in Asthma [ATLANTIS] study), we recruited participants with and without asthma (defined as Global Initiative for Asthma severity stages 1-5) from general practices, the databases of chest physicians, and advertisements at 29 centres across nine countries (Brazil, China, Germany, Italy, Spain, the Netherlands, the UK, the USA, and Canada). All participants were aged 18-65 years, and participants with asthma had received a clinical diagnosis of asthma more than 6 months ago that had been confirmed by a chest physician. This diagnosis required support by objective evidence at baseline or during the past 5 years, which could be: positive airway hyperresponsiveness to methacholine, positive reversibility (a change in FEV
FINDINGS
Between June 30, 2014, and March 3, 2017, we recruited and evaluated 773 participants with asthma and 99 control participants. All physiological measures contributed to the clinical SAD model with the structural equation modelling analysis. The prevalence of SAD in asthma was dependent on the measure used; we found the lowest prevalence of SAD associated with acinar airway ventilation heterogeneity (S
INTERPRETATION
SAD is a complex and silent signature of asthma that is likely to be directly or indirectly captured by combinations of physiological tests, such as spirometry, body plethysmography, impulse oscillometry, and multiple breath nitrogen washout. SAD is present across patients with all severities of asthma, but it is particularly prevalent in severe disease. The clinical classification of SAD into two groups (a milder and a more severe group) by use of impulse oscillometry and spirometry, which are easy to use, is meaningful given its association with GINA severity stages, asthma control, quality of life, and exacerbations.
FUNDING
Chiesi Farmaceutici SpA.
Identifiants
pubmed: 30876830
pii: S2213-2600(19)30049-9
doi: 10.1016/S2213-2600(19)30049-9
pii:
doi:
Banques de données
ClinicalTrials.gov
['NCT02123667']
Types de publication
Journal Article
Multicenter Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
402-416Investigateurs
Emilio Pizzichini
(E)
Alberto Cukier
(A)
Rafael Stelmach
(R)
Ronald Olivenstein
(R)
Qingling Zhang
(Q)
Philipp Badorrek
(P)
Christian Gessner
(C)
Nicola Scichilone
(N)
Alfredo Chetta
(A)
Pierluigi Paggiaro
(P)
Stefano Milleri
(S)
Mariella D'Amato
(M)
Antonio Spanevello
(A)
Maria Pia Foschino
(MP)
Willem Germen Boersma
(WG)
Marielle Broeders
(M)
J Sebastiaan Vroegop
(JS)
Vicente Plaza Moral
(V)
Ratko Djukanovic
(R)
Omar Usmani
(O)
Robert Schilz
(R)
Richard Martin
(R)
Nicola Hanania
(N)
Commentaires et corrections
Type : CommentIn
Type : ErratumIn
Type : CommentIn
Type : CommentIn
Informations de copyright
Copyright © 2019 Elsevier Ltd. All rights reserved.