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Comorbid Chronic Rhinosinusitis and Asthma: Shared Risk Factors and Treatment Implications-An EAACI Task Force Report
Sanna Toppila-Salmi1,2,3, Sietze Reitsma4, Valérie Hox5
1Department of Otorhinolaryngology, University of Eastern Finland, Joensuu and Kuopio, Finland.
Chronic rhinosinusitis (CRS) and asthma often coexist, sharing T2-high inflammation. Treatments like biologics, aspirin desensitization, and surgery show promise but require personalized approaches for optimal outcomes in N-ERD patients.
Area of Science:
- Respiratory Medicine
- Immunology
- Otolaryngology
Background:
- Chronic rhinosinusitis (CRS) and asthma are common, frequently co-occurring conditions.
- Shared T-helper cell 2 (T2)-high inflammatory pathways, involving IL-4, IL-5, and IL-13, link these diseases.
- NSAID-exacerbated respiratory disease (N-ERD) is a severe phenotype combining CRS with nasal polyps (CRSwNP), asthma, and NSAID hypersensitivity.
Purpose of the Study:
- To explore shared risk factors for CRS and asthma comorbidity.
- To evaluate current and emerging therapeutic strategies for these conditions, particularly N-ERD.
- To identify research gaps and future directions for optimizing patient care.
Main Methods:
- Review of shared risk factors including genetics, epithelial barrier dysfunction, and microbiome dysbiosis.
- Evaluation of therapeutic strategies: biologics (dupilumab, mepolizumab, omalizumab, etc.), aspirin therapy after desensitization (ATAD), and endoscopic sinus surgery (ESS).
- Analysis of treatment effectiveness and challenges based on disease phenotypes and endotypes.
Main Results:
- Biologics demonstrate significant efficacy and safety in T2-high asthma and CRSwNP.
- ATAD offers a disease-modifying option for N-ERD, with adherence as a key challenge.
- ESS improves sinonasal and asthma outcomes, though repeat surgeries may be necessary.
Conclusions:
- Personalized treatment approaches are crucial due to variable outcomes based on individual phenotypes/endotypes.
- Further research is needed, including head-to-head trials comparing different therapies.
- Optimizing care requires refined treatment algorithms, biomarker identification, and long-term outcome assessment.
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