Discover the intriguing connections between workplace exposures, inflammation, and asthma phenotypes across different ages in our deep dive into the latest cluster analysis research.
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Cluster analysis of phenotypes, job exposure, and inflammatory patterns in elderly and nonelderly asthma patients.
Chuang et al., Allergol Int 2024
DOI: 10.1016/j.alit.2024.01.001
Identification of Age-Dependent Asthma Phenotypes
New Information: This study identifies three distinct asthma phenotypes in both nonelderly and elderly adults, revealing age-dependent differences in characteristics, asthma exacerbation risks, and medication use.
Importance: Understanding these phenotypes can lead to more personalized asthma management, tailored to the patient’s age and specific asthma characteristics.
Contribution to Literature: The research adds to the current understanding of asthma by highlighting the significance of age in the manifestation of different asthma phenotypes.
In the nonelderly group, one phenotype (cluster 2) with obese, neutrophilic characteristics had a 1.85-fold increased risk of asthma exacerbations. Another phenotype (cluster 3), characterized by early-onset, atopy, smoking, and an eosinophil-predominant pattern, had a 2.37-fold increased risk of exacerbations and higher use of oral corticosteroids compared to cluster 1, which had late-onset and low molecular weight (LMW) exposure with a paucigranulocytic blood pattern.
In the elderly group, one phenotype (cluster 2) showed poor lung function and a higher number of ex-smokers. Another phenotype (cluster 3), with early-onset and long asthma duration, had the lowest percentages of the paucigranulocytic blood pattern.
The study’s approach involved recruiting 726 nonelderly (<65 years) and 201 elderly (≥65 years) adults with mild-to-severe asthma, conducting factor analysis on 17 variables, and using cluster and discriminant analysis to classify and verify asthma phenotypes.