Data-driven adult asthma phenotypes based ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
PMID :
URL permanente :
Titre :
Data-driven adult asthma phenotypes based on clinical characteristics are associated with asthma outcomes twenty years later
Auteur(s) :
Boudier, Anne [Auteur]
Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) [IAB]
Chanoine, Sebastien [Auteur]
Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) [IAB]
Accordini, Simone [Auteur]
Università degli studi di Verona = University of Verona [UNIVR]
Anto, Josep M. [Auteur]
Universitat Pompeu Fabra [Barcelona] [UPF]
Basagana, Xavier [Auteur]
Universitat Pompeu Fabra [Barcelona] [UPF]
Bousquet, Jean [Auteur]
Vieillissement et Maladies chroniques : approches épidémiologique et de santé publique [VIMA]
Demoly, Pascal [Auteur]
CHU Montpellier
Garcia-Aymerich, Judith [Auteur]
Universitat Pompeu Fabra [Barcelona] [UPF]
Gormand, Frederic [Auteur]
Service de pneumologie [Centre Hospitalier Lyon Sud - HCL]
Heinrich, Joachim [Auteur]
Ludwig Maximilian University [Munich] = Ludwig Maximilians Universität München [LMU]
Janson, Christer [Auteur]
Uppsala University
Kunzli, Nino [Auteur]
Université de Bâle = University of Basel = Basel Universität [Unibas]
Matran, Regis [Auteur]
IMPact de l'Environnement Chimique sur la Santé humaine (IMPECS) - ULR 4483
Pison, Christophe [Auteur]
Université Grenoble Alpes [UGA]
Raherison, Chantal [Auteur]
Université de Bordeaux [UB]
Sunyer, Jordi [Auteur]
Universitat Pompeu Fabra [Barcelona] [UPF]
Varraso, Raphaelle [Auteur]
Vieillissement et Maladies chroniques : approches épidémiologique et de santé publique [VIMA]
Jarvis, Deborah [Auteur]
Imperial College London
Leynaert, Benedicte [Auteur]
Université Paris Diderot - Paris 7 [UPD7]
Pin, Isabelle [Auteur]
Université Grenoble Alpes [UGA]
Siroux, Valerie [Auteur]
Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) [IAB]
Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) [IAB]
Chanoine, Sebastien [Auteur]
Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) [IAB]
Accordini, Simone [Auteur]
Università degli studi di Verona = University of Verona [UNIVR]
Anto, Josep M. [Auteur]
Universitat Pompeu Fabra [Barcelona] [UPF]
Basagana, Xavier [Auteur]
Universitat Pompeu Fabra [Barcelona] [UPF]
Bousquet, Jean [Auteur]
Vieillissement et Maladies chroniques : approches épidémiologique et de santé publique [VIMA]
Demoly, Pascal [Auteur]
CHU Montpellier
Garcia-Aymerich, Judith [Auteur]
Universitat Pompeu Fabra [Barcelona] [UPF]
Gormand, Frederic [Auteur]
Service de pneumologie [Centre Hospitalier Lyon Sud - HCL]
Heinrich, Joachim [Auteur]
Ludwig Maximilian University [Munich] = Ludwig Maximilians Universität München [LMU]
Janson, Christer [Auteur]
Uppsala University
Kunzli, Nino [Auteur]
Université de Bâle = University of Basel = Basel Universität [Unibas]
Matran, Regis [Auteur]
IMPact de l'Environnement Chimique sur la Santé humaine (IMPECS) - ULR 4483
Pison, Christophe [Auteur]
Université Grenoble Alpes [UGA]
Raherison, Chantal [Auteur]
Université de Bordeaux [UB]
Sunyer, Jordi [Auteur]
Universitat Pompeu Fabra [Barcelona] [UPF]
Varraso, Raphaelle [Auteur]
Vieillissement et Maladies chroniques : approches épidémiologique et de santé publique [VIMA]
Jarvis, Deborah [Auteur]
Imperial College London
Leynaert, Benedicte [Auteur]
Université Paris Diderot - Paris 7 [UPD7]
Pin, Isabelle [Auteur]
Université Grenoble Alpes [UGA]
Siroux, Valerie [Auteur]
Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) [IAB]
Titre de la revue :
Allergy
Nom court de la revue :
Allergy
Numéro :
74
Pagination :
953-963
Éditeur :
Wiley Online Library
Date de publication :
2018-12-13
ISSN :
1398-9995
Mot(s)-clé(s) :
asthma
follow-up
clustering
lung function
phenotypes
follow-up
clustering
lung function
phenotypes
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Résumé en anglais : [en]
Research based on cluster analyses led to the identification of particular phenotypes confirming phenotypic heterogeneity of asthma. The long-term clinical course of asthma phenotypes defined by clustering analysis remains ...
Lire la suite >Research based on cluster analyses led to the identification of particular phenotypes confirming phenotypic heterogeneity of asthma. The long-term clinical course of asthma phenotypes defined by clustering analysis remains unknown, although it is a key aspect to underpin their clinical relevance. We aimed to estimate risk of poor asthma events between asthma clusters identified 20 years earlier. The study relied on two cohorts of adults with asthma with 20-year follow-up, ECRHS (European Community Respiratory Health Survey) and EGEA (Epidemiological study on Genetics and Environment of Asthma). Regression models were used to compare asthma characteristics (current asthma, asthma exacerbations, asthma control, quality of life, and FEV11 The analysis included 1325 adults with ever asthma. For each asthma characteristic assessed at follow-up, the risk for adverse outcomes differed significantly between the seven asthma clusters identified at baseline. As compared with the mildest asthma phenotype, ORs (95% CI) for asthma exacerbations varied from 0.9 (0.4 to 2.0) to 4.0 (2.0 to 7.8) and the regression estimates (95% CI) for FEV11 Our findings show that the long-term risk for poor asthma outcomes differed between comprehensive adult asthma phenotypes identified 20 years earlier, and suggest a strong tracking of asthma activity and impaired lung function over time.Lire moins >
Lire la suite >Research based on cluster analyses led to the identification of particular phenotypes confirming phenotypic heterogeneity of asthma. The long-term clinical course of asthma phenotypes defined by clustering analysis remains unknown, although it is a key aspect to underpin their clinical relevance. We aimed to estimate risk of poor asthma events between asthma clusters identified 20 years earlier. The study relied on two cohorts of adults with asthma with 20-year follow-up, ECRHS (European Community Respiratory Health Survey) and EGEA (Epidemiological study on Genetics and Environment of Asthma). Regression models were used to compare asthma characteristics (current asthma, asthma exacerbations, asthma control, quality of life, and FEV11 The analysis included 1325 adults with ever asthma. For each asthma characteristic assessed at follow-up, the risk for adverse outcomes differed significantly between the seven asthma clusters identified at baseline. As compared with the mildest asthma phenotype, ORs (95% CI) for asthma exacerbations varied from 0.9 (0.4 to 2.0) to 4.0 (2.0 to 7.8) and the regression estimates (95% CI) for FEV11 Our findings show that the long-term risk for poor asthma outcomes differed between comprehensive adult asthma phenotypes identified 20 years earlier, and suggest a strong tracking of asthma activity and impaired lung function over time.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
CHU Lille
Institut Pasteur de Lille
Université de Lille
Institut Pasteur de Lille
Université de Lille
Date de dépôt :
2022-02-02T10:24:01Z
2024-03-13T08:36:23Z
2024-04-19T14:38:09Z
2024-03-13T08:36:23Z
2024-04-19T14:38:09Z