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Published on: August 7, 2017
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.
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, sensitization and type 2 inflammatory markers, prior exacerbation severity and health care utilization, and lung function. Exacerbations occurred in 22.4% of class 1 ("lesser sensitization with normal lung function"), 27.9% of class 2 ("lesser sensitization with prior severe exacerbation and normal lung function"), 45.3% of class 3 ("multiple sensitization with reversible airflow limitation"), and 64.3% of class 4 ("multiple sensitization with partially reversible airflow limitation") (P < .001). Time to exacerbation also followed similar trends and was shortest in the latent classes with multiple sensitization and airflow limitation (P < .001). Outcomes were driven largely by children with exacerbation-prone asthma (defined as ≥3 exacerbations in the prior year), who were present in each class but most strongly represented in classes 3 and 4.
Conclusions:
Children at risk for asthma exacerbation are a heterogeneous group. Sensitization, prior exacerbation severity, and lung function variables may be particularly useful in identifying children at greatest risk for future exacerbation.
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