Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Data-driven adult asthma phenotypes based on clinical characteristics are associated with asthma outcomes twenty years later
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4501730
Author(s) Boudier, Anne; Chanoine, Sébastien; Accordini, Simone; Anto, Josep M.; Basagańa, Xavier; Bousquet, Jean; Demoly, Pascal; Garcia-Aymerich, Judith; Gormand, Frédéric; Heinrich, Joachim; Janson, Christer; Künzli, Nino; Matran, Régis; Pison, Christophe; Raherison, Chantal; Sunyer, Jordi; Varraso, Raphaëlle; Jarvis, Deborah; Leynaert, Bénédicte; Pin, Isabelle; Siroux, Valérie
Author(s) at UniBasel Künzli, Nino
Year 2019
Title Data-driven adult asthma phenotypes based on clinical characteristics are associated with asthma outcomes twenty years later
Journal Allergy
Volume 74
Number 5
Pages / Article-Number 953-963
Abstract 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 FEV; 1; ) at follow-up and the course of FEV; 1; between seven cluster-based asthma phenotypes identified 20 years earlier.; 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 FEV; 1; % predicted varied from 0.6 (-3.5 to 4.6) to -9.9 (-14.2 to -5.5) between clusters. Change in FEV; 1; over time did not differ significantly across clusters.; 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.
Publisher Wiley-Blackwell
ISSN/ISBN 0108-1675
edoc-URL https://edoc.unibas.ch/70516/
Full Text on edoc No
Digital Object Identifier DOI 10.1111/all.13697
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/30548629
ISI-Number MEDLINE:30548629
Document type (ISI) Journal Article
 
   

MCSS v5.8 PRO. 0.325 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
20/06/2024