Effectiveness of benralizumab in severe eosinophilic asthma: Distinct sub-phenotypes of response identified by cluster analysis
| Autor: | Giuseppe Valenti, Domenico Ciotta, Simona Pellegrino, Corrado Pelaia, Nunziata Ribecco, Nunzio Crimi, Girolamo Pelaia, Alessandro Vatrella, Alida Benfante, Angela Maria D'Uggento, Giulia Scioscia, Danilo Di Bona, Luigi Macchia, Maria Filomena Caiaffa, Giovanna Elisiana Carpagnano, Claudia Crimi, Cecilia Calabrese, Raffaele Campisi, Nicola Scichilone, Giuseppe Spadaro, Maria D'Amato |
|---|---|
| Přispěvatelé: | Di Bona D., Crimi C., D'Uggento A.M., Benfante A., Caiaffa M.F., Calabrese C., Campisi R., Carpagnano G.E., Ciotta D., D'Amato M., Pelaia C., Pelaia G., Pellegrino S., Scichilone N., Scioscia G., Ribecco N., Spadaro G., Valenti G., Vatrella A., Crimi N., Macchia L., Di Bona, D., Crimi, C., D'Uggento, A. M., Benfante, A., Caiaffa, M. F., Calabrese, C., Campisi, R., Carpagnano, G. E., Ciotta, D., D'Amato, M., Pelaia, C., Pelaia, G., Pellegrino, S., Scichilone, N., Scioscia, G., Ribecco, N., Spadaro, G., Valenti, G., Vatrella, A., Crimi, N., Macchia, L., Di Bona, Danilo, Crimi, Claudia, Maria D'Uggento, Angela, Benfante, Alida, Filomena Caiaffa, Maria, Calabrese, Cecilia, Campisi, Raffaele, Elisiana Carpagnano, Giovanna, Ciotta, Domenico, D'Amato, Maria, Pelaia, Corrado, Pelaia, Girolamo, Pellegrino, Simona, Scichilone, Nicola, Scioscia, Giulia, Ribecco, Nunziata, Spadaro, Giuseppe, Valenti, Giuseppe, Vatrella, Alessandro, Crimi, Nunzio, Macchia, Luigi |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
medicine.medical_specialty
Exacerbation biologicals monoclonal antibodies observational studies precision medicine real-life precision medicine Immunology Disease Settore MED/10 - Malattie Dell'Apparato Respiratorio Immunoglobulin E Antibodies Monoclonal Humanized observational studie chemistry.chemical_compound Internal medicine medicine Immunology and Allergy Cluster Analysis Humans Anti-Asthmatic Agents real-life observational studies monoclonal antibodie Response rate (survey) Bronchiectasis biology business.industry medicine.disease Benralizumab Phenotype Asthma Eosinophils chemistry biologicals biology.protein Disease Progression Biomarker (medicine) monoclonal antibodies business biological |
| Popis: | Background: Benralizumab is effective in severe eosinophilic asthma (SEA), but suboptimal responses are observed in some patients. Although several factors have been associated with benralizumab response, no cluster analysis has yet been undertaken to identify different responsiveness sub-phenotypes. Objective: To identify SEA sub-phenotypes with differential responsiveness to benralizumab. Methods: One hundred and five patients diagnosed with SEA who had completed 6months of benralizumab treatment were included in a hierarchical cluster analysis based on a set of clinical variables that can be easily collected in routine practice (age, age at disease onset, disease length, allergen sensitization status, blood eosinophil count, IgE levels, FEV1% predicted, nasal polyposis, bronchiectasis). Results: Four clusters were identified: Clusters 2 and 3 included patients with high levels of both IgE and eosinophils (type-2 biomarkers high), whereas Clusters 1 and 4 included patients with only one type-2 biomarker at a high level: IgE in Cluster 1 and eosinophils in Cluster 4. Clusters 2 and 3 (both type-2 biomarkers high) showed the highest response rate to benralizumab in terms of elimination of exacerbations (79% and 80% respectively) compared to Clusters 1 and 4 (52% and 60% respectively). When super-response (the absence of exacerbation without oral corticosteroid use) was assessed, Cluster 2, including patients with more preserved lung function than the other clusters, but comparable exacerbation rate, oral corticosteroid use and symptom severity, was the most responsive cluster (87.5% of patients). Conclusions: Our cluster analysis identified benralizumab differential response sub-phenotypes in SEA, with the potential of improving disease treatment and precision management. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|