1. Clinical and epidemiologic phenotypes of childhood asthma
- Author
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Depner , Martin, Fuchs , Oliver, Genuneit , Jon, Karvonen , Anne M, Hyvärinen , Anne, Kaulek , Vincent, Roduit , Caroline, Weber , Juliane, Schaub , Bianca, Lauener , Roger, Kabesch , Michael, Pfefferle , Petra Ina, Frey , Urs, Pekkanen , Juha, Dalphin , Jean-Charles, Riedler , Josef, Braun-Fahrländer , Charlotte, Von Mutius , Erika, Ege , Markus J, Renseigné , Non, Institute of Epidemiology, Universität Ulm, Department of Environmental Health, National Institute for Health and Welfare, Laboratoire Chrono-environnement ( LCE ), Université Bourgogne Franche-Comté ( UBFC ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Franche-Comté ( UFC ), Asthma and Allergy Department, University Children's Hospital-Ludwig Maximilians University, University of Zurich, Depner, Martin, Universität Ulm - Ulm University [Ulm, Allemagne], National Institute for Health and Welfare [Helsinki], Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), and Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)
- Subjects
Pediatrics ,MESH: Asthma ,MESH : Prevalence ,MESH: Respiratory Sounds ,MESH : Prenatal Exposure Delayed Effects ,MESH : Prospective Studies ,MESH : Child, Preschool ,Critical Care and Intensive Care Medicine ,MESH : Agriculture ,MESH: Regression Analysis ,Cohort Studies ,Atopy ,MESH: Pregnancy ,0302 clinical medicine ,MESH : Child ,Pregnancy ,Risk Factors ,MESH: Risk Factors ,MESH: Child ,MESH : Regression Analysis ,Epidemiology ,Prevalence ,MESH : Respiratory Sounds ,MESH : Female ,Prospective Studies ,030212 general & internal medicine ,Child ,MESH: Cohort Studies ,MESH: Polymorphism, Single Nucleotide ,MESH : Polymorphism, Single Nucleotide ,Agriculture ,MESH : Infant ,MESH: Infant ,Phenotype ,MESH : Risk Factors ,Latent class model ,3. Good health ,Europe ,MESH : Phenotype ,Child, Preschool ,Prenatal Exposure Delayed Effects ,Regression Analysis ,Female ,medicine.symptom ,MESH : Sensitivity and Specificity ,2706 Critical Care and Intensive Care Medicine ,MESH: Agriculture ,Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,MESH: Environmental Exposure ,MESH : Europe ,MESH : Cohort Studies ,610 Medicine & health ,MESH: Phenotype ,MESH : Asthma ,Polymorphism, Single Nucleotide ,Sensitivity and Specificity ,MESH: Prenatal Exposure Delayed Effects ,[ SDV.EE.SANT ] Life Sciences [q-bio]/Ecology, environment/Health ,03 medical and health sciences ,Wheeze ,medicine ,Humans ,MESH: Prevalence ,Respiratory Sounds ,Asthma ,[SDV.EE.SANT]Life Sciences [q-bio]/Ecology, environment/Health ,MESH: Humans ,Receiver operating characteristic ,business.industry ,MESH: Child, Preschool ,MESH : Humans ,Infant ,Environmental Exposure ,medicine.disease ,MESH: Prospective Studies ,MESH: Sensitivity and Specificity ,MESH : Pregnancy ,030228 respiratory system ,10036 Medical Clinic ,2740 Pulmonary and Respiratory Medicine ,Exhaled nitric oxide ,MESH: Europe ,business ,MESH: Female ,MESH : Environmental Exposure - Abstract
International audience; RATIONALE: Clinical and epidemiologic approaches have identified two distinct sets of classifications for asthma and wheeze phenotypes. OBJECTIVES: To compare epidemiologic phenotype definitions identified by latent class analysis (LCA) with clinical phenotypes based on patient histories, diagnostic work-up, and treatment responses. To relate phenotypes to genetic and environmental determinants as well as diagnostic and treatment-related parameters. METHODS: LCA was performed in an international multicenter birth cohort based on yearly questions about current wheeze until age 6 years. Associations of wheeze classes and clinical phenotypes with asthma-related characteristics such as atopy, lung function, fraction of exhaled nitric oxide, and medication use were calculated using regression models. MEASUREMENTS AND MAIN RESULTS: LCA identified five classes, which verified the clinically defined wheeze phenotypes with high sensitivity and specificity; the respective receiver operating characteristics curves displayed an area under the curve ranging from 84% (frequent wheeze) to 85% (asthma diagnosis) and 87% (unremitting wheeze) to 97% (recurrent unremitting wheeze). Recurrent unremitting wheeze was the most specific and unremitting wheeze at least once the most sensitive definition. The latter identified a subgroup of children with decreased lung function, increased genetic risk, and in utero smoke exposure (ODDS RATIO, 2.03; 95% CONFIDENCE INTERVAL, 1.12-3.68; P = 0.0191), but without established asthma diagnosis and treatment. CONCLUSIONS: Clinical phenotypes were well supported by LCA analysis. The hypothesis-free LCA phenotypes were a useful reference for comparing clinical phenotypes. Thereby, we identified children with clinically conspicuous but undiagnosed disease. Because of their high area under the curve values, clinical phenotypes such as (recurrent) unremitting wheeze emerged as promising alternative asthma definitions for epidemiologic studies.
- Published
- 2014