August 19, 2025Advances in TherapyOpen Access

Identifying Treatable Traits of Patients with Asthma Prescribed an ICS/LABA: A Descriptive Analytic Database Study in England

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Discussion

Descriptive analysis reveals predictors of exacerbation and SABA use in adults with asthma, highlighting treatable traits.

Moderate-to-severe exacerbations occur in patients with identifiable predictors, improving treatment approaches for asthma.
Key predictors include comorbid conditions like cardiac disease, diabetes, and smoking status, influencing exacerbation risk.
Analysis utilized latent class cluster methodology to distinguish clusters among predictors of exacerbation and SABA use.
Findings underscore the significance of personalized treatment strategies based on identified treatable traits in asthma.

Quint et al. (2025) studied this question.

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