Objective: We sought to re-apply this algorithm in a UK primary care asthma cohort, quantify the eosinophilic phenotype and, assess the relationship between likelihood of eosinophilic phenotype and asthma severity/healthcare resource utilization (HCRU).
Methods: Patients (≥13 years old) with active asthma and ≥1 blood eosinophil count included from the Optimum Patient Care Research Database and the Clinical Practice Research Datalink, were categorized according to the likelihood of eosinophilic phenotype using the ISAR gradient eosinophilic algorithm. Patient demographic, clinical and HCRU characteristics were described for each phenotype.
Results: Of 241,006 patients, 50.3%, 22.2% and 21.9% “most likely” (Grade 3), “likely” (Grade 2), and “least likely” (Grade 1) had an eosinophilic phenotype respectively, and 5.6% had a non-eosinophilic phenotype (Grade 0). Compared to patients with non-eosinophilic asthma, those “most likely” to have an eosinophilic phenotype tended to have more co-morbidities (% with Charlson co-morbidity index ≥2: 28.2% vs 6.9%) and experienced more asthma attacks (% with ≥1 attack: 24.8% vs 15.3%). These patients were also more likely to have difficult-to-treat asthma (31.1% vs 18.3%), receive more intensive treatment (% on GINA (2020) Step 4 or 5: 44.2% vs 27.5%), and greater HCRU (e.g. 10.8 vs 7.9 GP all-cause consultations/year).
Conclusion: The eosinophilic asthma phenotype predominates in primary care and is associated with greater asthma severity and HCRU. These patients may benefit from earlier and targeted asthma therapy.
|Journal||The Journal of Allergy and Clinical Immunology: In Practice|
|Publication status||Accepted/In press - 4 Aug 2021|
- healthcare resource utilization
- Primary care