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Data-driven adult asthma phenotypes based on clinical characteristics are associated with asthma outcomes twenty years later
Univ Grenoble Alpes, Team Environm Epidemiol Appl Reprod & Resp Hlth, CNRS, IAB,INSERM, Grenoble, France.
Univ Grenoble Alpes, Team Environm Epidemiol Appl Reprod & Resp Hlth, CNRS, IAB,INSERM, Grenoble, France;Univ Grenoble Alpes, Fac Pharm, Grenoble, France;CHU Grenoble Alpes, Pole Pharm, Grenoble, France.ORCID iD: 0000-0001-7708-9777
Univ Verona, Dept Diagnost & Publ Hlth, Unit Epidemiol & Med Stat, Verona, Italy.
Ctr Res Environm Epidemiol CREAL, ISGlobal, Barcelona, Spain;UPF, Barcelona, Spain;CIBERESP, Barcelona, Spain.
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2019 (English)In: Allergy. European Journal of Allergy and Clinical Immunology, ISSN 0105-4538, E-ISSN 1398-9995, Vol. 74, no 5, p. 953-963Article in journal (Refereed) Published
Abstract [en]

BackgroundResearch 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 20years earlier. MethodsThe 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 FEV1) at follow-up and the course of FEV(1)between sevencluster-based asthma phenotypes identified20years earlier. ResultsThe 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 FEV1% predicted varied from 0.6 (-3.5 to 4.6) to -9.9 (-14.2 to -5.5) between clusters. Change in FEV1 over time did not differ significantly across clusters. ConclusionOur findings show that the long-term risk for poor asthma outcomes differed between comprehensive adult asthma phenotypes identified 20years earlier, and suggest a strong tracking of asthma activity and impaired lung function over time.

Place, publisher, year, edition, pages
John Wiley & Sons, 2019. Vol. 74, no 5, p. 953-963
Keywords [en]
asthma, clustering, follow-up, lung function, phenotypes
National Category
Respiratory Medicine and Allergy
Identifiers
URN: urn:nbn:se:uu:diva-389830DOI: 10.1111/all.13697ISI: 000471282600007PubMedID: 30548629OAI: oai:DiVA.org:uu-389830DiVA, id: diva2:1339351
Available from: 2019-07-29 Created: 2019-07-29 Last updated: 2019-07-29Bibliographically approved

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Janson, Christer

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