Ontology highlight
ABSTRACT: Background
Compared with adults, phenotypic characterization of children with asthma is still limited and it remains difficult to predict which children with asthma are at highest risk for poor outcomes.Objective
To identify latent classes in a large population of treatment-adherent children with mild to moderate asthma enrolled in clinical trials and determine whether latent class assignment predicts future lung function abnormalities and exacerbation rate.Methods
Latent class analysis was performed on 2593 children with mild to moderate asthma aged 5 18 years, with 19 variables encompassing demographic characteristics, medical history, symptoms, lung function, allergic sensitization, and type 2 inflammation. Outcomes included lung function and the annualized exace
SUBMITTER: Fitzpatrick AM
PROVIDER: S-EPMC7483393 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature