Beyond biomarkers: the role of clinical factors associated with biologic therapy response in severe asthma

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Authors: Raquel López-Rodríguez, José Antonio Cañas, Ignacio Mahíllo-Fernández, Manuel Jorge Rial
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Abstract

Severe asthma carries a high burden and often requires biologic therapy targeting type 2 (T2) inflammation. However, treatment response is heterogeneous, and traditional biomarkers, such as blood eosinophils, fractional exhaled nitric oxide (FeNO), and total serum IgE, may not fully explain this variability . To evaluate clinical and inflammatory characteristics associated with response to biologic therapies in a real-world cohort of severe asthma patients. A single-center, ambispective observational study was conducted in the Allergology Department of A Coruña, Spain. Sixty-seven patients with severe uncontrolled asthma and treated with omalizumab, mepolizumab, benralizumab, dupilumab, or tezepelumab, were included. Patients were followed for ≥12 months. Clinical variables and inflammatory biomarkers were assessed at baseline, 4–6 months, and 12 months. Comparisons between biologic subgroups and logistic regression analyses were performed to identify factors associated with response. Female sex, nasal polyposis, elevated blood eosinophils, and frequent exacerbations were associated with better response to biologics. Clinical factors such as nasal polyposis and aspirin-exacerbated respiratory disease (AERD) showed a stronger association with treatment response than standard biomarkers (FeNO, blood eosinophils). The mean diagnostic delay was 12.1 years, suggesting a potential influence on therapeutic results. Beyond traditional biomarkers, clinical factors particulary nasal polyposis and AERD may play a key role in understanding response patterns to biologics. Incorporating these variables into clinical assessment may help support a more personalized management approach in severe asthma.

Fields of Study & Subjects

Asthma and respiratory diseases Allergic Rhinitis and Sensitization Occupational exposure and asthma

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Language
EN
Document type
Dataset