Distinguishing phenotypes of childhood wheeze and cough using latent class analysis

Spycher, B D; Silverman, M; Brooke, A M; Minder, C E; Kuehni, C E (2008). Distinguishing phenotypes of childhood wheeze and cough using latent class analysis. European respiratory journal, 31(5), pp. 974-81. Sheffield, UK: European Respiratory Society 10.1183/09031936.00153507

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Airway disease in childhood comprises a heterogeneous group of disorders. Attempts to distinguish different phenotypes have generally considered few disease dimensions. The present study examines phenotypes of childhood wheeze and chronic cough, by fitting a statistical model to data representing multiple disease dimensions. From a population-based, longitudinal cohort study of 1,650 preschool children, 319 with parent-reported wheeze or chronic cough were included. Phenotypes were identified by latent class analysis using data on symptoms, skin-prick tests, lung function and airway responsiveness from two preschool surveys. These phenotypes were then compared with respect to outcome at school age. The model distinguished three phenotypes of wheeze and two phenotypes of chronic cough. Subsequent wheeze, chronic cough and inhaler use at school age differed clearly between the five phenotypes. The wheeze phenotypes shared features with previously described entities and partly reconciled discrepancies between existing sets of phenotype labels. This novel, multidimensional approach has the potential to identify clinically relevant phenotypes, not only in paediatric disorders but also in adult obstructive airway diseases, where phenotype definition is an equally important issue.

Item Type:

Journal Article (Original Article)


04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM)

UniBE Contributor:

Spycher, Ben; Minder, Christoph Erwin and Kühni, Claudia






European Respiratory Society




Factscience Import

Date Deposited:

04 Oct 2013 15:04

Last Modified:

05 Dec 2022 14:19

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https://boris.unibe.ch/id/eprint/27806 (FactScience: 111569)

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