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

Jocelyn R Grunwell1, Scott Gillespie2, Claudia R Morris1

  • 1Department of Pediatrics, Emory University, Atlanta, Ga; Center for Clinical and Translational Research, Children's Healthcare of Atlanta, Atlanta, Ga.

Insights

Asthma exacerbations in children are complex. Identifying distinct patient groups based on sensitization and lung function helps predict future asthma attacks in pediatric patients.

Area of Science:

  • Pediatric Pulmonology
  • Allergy and Immunology
  • Computational Biology

Background:

  • Asthma exacerbations in children are complex and may differ from factors influencing asthma severity.
  • Identifying specific risk factors for exacerbations is crucial for effective management.

Purpose of the Study:

  • To identify distinct subgroups (latent classes) of children at risk for asthma exacerbation.
  • To determine if these latent classes can predict future asthma exacerbations.

Main Methods:

  • Latent class analysis was applied to data from 513 children (aged 6-17) at risk for asthma exacerbation.
  • 31 variables were analyzed, including demographics, medical history, treatment, symptoms, lung function, sensitization, and type 2 inflammation.
  • Exacerbation occurrence and time to first exacerbation were primary and secondary outcomes.

Main Results:

  • Four distinct latent classes of children were identified, differing in demographics, sensitization, type 2 inflammation, prior exacerbation history, healthcare utilization, and lung function.
  • Exacerbation rates varied significantly across classes, with higher rates in those with multiple sensitization and airflow limitation (45.3% and 64.3%).
  • Time to first exacerbation was shortest in classes with multiple sensitization and airflow limitation, particularly in children with a history of frequent exacerbations.

Conclusions:

  • Children at risk for asthma exacerbation are a heterogeneous group.
  • Sensitization, prior exacerbation severity, and lung function are key factors for identifying children at highest risk of future exacerbations.
Abstract

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