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Dataset Information

A clustering approach to identify severe bronchiolitis profiles in children.


ABSTRACT:

Objective

Although bronchiolitis is generally considered a single disease, recent studies suggest heterogeneity. We aimed to identify severe bronchiolitis profiles using a clustering approach.

Methods

We analysed data from two prospective, multicentre cohorts of children younger than 2 years hospitalised with bronchiolitis, one in the USA (2007-2010 winter seasons, n=2207) and one in Finland (2008-2010 winter seasons, n=408). Severe bronchiolitis profiles were determined by latent class analysis, classifying children based on clinical factors and viral aetiology.

Results

In the US study, four profiles were identified. Profile A (12%) was characterised by history of wheezing and eczema, wheezing at the emergency department (ED) presentation and rhinovirus infection. Pr

SUBMITTER: Dumas O 

PROVIDER: S-EPMC5036390 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature