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Dataset Information

Latent Class Analysis of School-Age Children at Risk for Asthma Exacerbation.


ABSTRACT:

Background

Factors responsible for asthma exacerbations in children are complex and may differ from those that drive asthma severity.

Objective

To identify latent classes of children at risk for asthma exacerbation and determine whether latent class assignment is useful in the prediction of future exacerbation.

Methods

Latent class analysis was performed on 513 children aged 6 to 17 years at risk for asthma exacerbation, with 31 variables encompassing demographics, medical history, treatment, symptoms, lung function, sensitization, and type 2 inflammation. Primary and secondary outcomes included exacerbation occurrence by 12 months and time to first exacerbation, respectively.

Results

Four latent classes were identified with differing demographic features, sens

SUBMITTER: Grunwell JR 

PROVIDER: S-EPMC7338257 | biostudies-literature | 2020 Jul - Aug

REPOSITORIES: biostudies-literature