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Article Dans Une Revue American Journal of Respiratory and Critical Care Medicine Année : 2013

Ten-Year Follow-up of Cluster-based Asthma Phenotypes in Adults. A Pooled Analysis of Three Cohorts

1 Institut National de la Santé et de la Recherche Médicale (INSERM), U823, Environmental Epidemiology Applied to Reproduction and Respiratory Health Team, Centre de Recherche Albert Bonniot, Grenoble, France
2 INSERM-UJF, U823, Institut Albert Bonniot, 38042 Grenoble, France; Université Joseph Fourier - BP 53, 38041 Grenoble
3 Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
4 Unibas - Université de Bâle = University of Basel = Basel Universität
5 Centre for Research in Environmental Epidemiology (CREAL), Parc de Recerca Biomèdica de Barcelona, Doctor Aiguader 88, 08003 Barcelona, Spain
6 CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona
7 Inserm, U823, Institut Albert Bonniot, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble
8 Inserm, U823, Centre for Research Albert Bonniot, Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble and Université Joseph Fourier, Grenoble, France
9 CIBER en Epidemiologia y Salud Publica (CIBERESP), Barcelona, Spain
10 Centre for Research in Environmental Epidemiology (CREAL), Municipal Institute of Medical Research (IMIM-Hospital del Mar), and CIBER Epidemiologia y Salud Pu ́ blica (CIBERESP), Barcelona, Spain, and National School of Public Health, Athens, Greece
11 Universitat Pompeu Fabra
12 CESP - Centre de recherche en épidémiologie et santé des populations
13 Universite Paris Sud, Unite Mixte de Recherche en Sante (UMRS) 1018, Villejuif, France
14 Division of Pulmonary Medicine, University Hospitals of Geneva, Geneva, Switzerland
15 CIBER en Epidemiologia y Salud Pu ́blica (CIBERESP), Barcelona, Spain
16 Institute of Epidemiology I, Helmholtz Zentrum Mu ̈nchen, German Research Center for Environmental Health, Munich, Germany
17 Department of Medical Sciences, Respiratory Medicine and Allergology, Uppsala University, Uppsala, Sweden
18 INSERM, U700, Physiopathologie et E ́pide ́miologie de l’Insuffisance Respiratoire, Paris, France
19 Université Paris Diderot, Sorbonne Paris Cité, Paris, France
20 Department of Medicine and Public Health, Unit of Epidemiology and Medical Statistics, University of Verona, Verona, Italy
21 Université Paris Sud, Unité Mixte de Recherche en Santé (UMRS) 1018, Villejuif, France
22 Institut National de la Sante et de la Recherche Medicale (INSERM), U823, Environmental Epidemiology Applied to Reproduction and Respiratory Health Team, Centre de Recherche Albert Bonniot, Grenoble, France
23 Département de pédiatrie CHU Nord, Grenoble
24 IMIM - Hospital del Mar Medical Research Institute [Barcelona, Spain]
25 Institut National de la Sante et de la Recherche Médicale (INSERM), U823, Environmental Epidemiology Applied to Reproduction and Respiratory Health Team, Centre de Recherche Albert Bonniot, Grenoble, France

Résumé

Rationale: The temporal stability of adult asthma phenotypes iden- tified using clustering methods has never been addressed. Longitu- dinal cluster–based methods may provide novel insights in the study of the natural history of asthma. Objectives: To compare the stability of cluster-based asthma pheno- type structures a decade apart in adults and to address the individ- uals’ phenotypic transition across these asthma phenotypes. Methods: The latent transition analysis was applied on longitudinal data (twice, 10 yr apart) from 3,320 adults with asthma who took part in the European Community Respiratory Health Survey, the Swiss Co- hort Study on Air Pollution and Lung and Heart Diseases in Adults, or the Epidemiological Study on Genetics and Environment of Asthma. Nine variables covering personal and phenotypic characteristics mea- sured twice, 10 years apart, were simultaneously considered. Measurements and Main Results: Latent transition analysis identifies seven asthma phenotypes (prevalence range, 8.4–20.8%), mainly characterized by the level of asthma symptoms (low, moderate, high), the allergic status, and pulmonary function. Phenotypes ob- served 10 years apart showed strong similarities. The probability of membership in the same asthma phenotype at both times varied across phenotypes from 54 to 88%. Different transition patterns were observed across phenotypes. Transitions toward increased asthma symptoms were more frequently observed among nonaller- gic phenotypes as compared with allergic phenotypes. Results showed a strong stability of the allergic status over time. Conclusions: Adult asthma phenotypes identified by a clustering ap- proach, 10 years apart, were highly consistent. This study is the first to model the probabilities of transitioning over time between com- prehensive asthma phenotypes.
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Dates et versions

hal-04320466 , version 1 (04-12-2023)

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Anne Boudier, Ivan Curjuric, Xavier Basagaña, Hana Hazgui, Josep M Anto, et al.. Ten-Year Follow-up of Cluster-based Asthma Phenotypes in Adults. A Pooled Analysis of Three Cohorts. American Journal of Respiratory and Critical Care Medicine, 2013, 188 (5), pp.550 - 560. ⟨10.1164/rccm.201301-0156oc⟩. ⟨hal-04320466⟩
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