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Published on: June 4, 2017
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Allergic sensitization patterns identified through latent class analysis among children with and without asthma
Qixuan Chen1, Xiaobo Zhong1, Luis Acosta2
1Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York.
Summary
Identifying specific allergic sensitization patterns in children is key to understanding asthma risk. Certain allergen combinations significantly increase the likelihood of developing and maintaining asthma.
Area of Science:
- Allergy and Immunology
- Pediatric Asthma Research
- Computational Biology
Background:
- Allergic sensitization patterns may offer insights into asthma development.
- Understanding these patterns is crucial for early intervention and risk assessment.
Purpose of the Study:
- To identify distinct allergic sensitization profiles in children.
- To investigate the association between these sensitization patterns and current/persistent asthma.
Main Methods:
- Latent class analysis (LCA) was used to identify sensitization patterns.
- IgE levels against 112 allergens were measured in children aged 7-8.
- Data from the New York City Neighborhood Asthma and Allergy Study was utilized.
Main Results:
- Four distinct allergic sensitization patterns were identified.
- Children in three of these patterns showed a significantly higher risk of asthma.
- The 'pollen and indoor group 1' pattern exhibited the highest asthma risk.
Conclusions:
- Latent class analysis (LCA) effectively reveals sensitization profiles across numerous allergens.
- Analyzing multi-allergen sensitization patterns provides greater insight into asthma associations than single allergens or total IgE.
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