D2.29 - Assessing Individual Pollen Allergies Using Self-reported Real-World Allergy Burden Data

Allergic rhinitis is a major global health concern. Mobile health technologies such as the klarify app offer a patient-centered approach for tracking symptoms and local pollen exposure data. This study utilized real world data from the klarify app to identify individual potential grass pollen allergy and compared the disease burden to the burden reported in two SQ-standardized grass SLIT-tablet clinical trials.

We assessed self-reported daily allergy burden logs (0-4 scale) from December 12, 2019, to March 21, 2022, among 60,707 German, 63,174 British, and 16,489 US klarify app users. For each country, random effects models were employed to infer impact of pollen exposure of major pollen species on individual allergy burden. We compared the self-reported allergy burden of potential grass-allergic German users to that of grass-allergic German participants in two SQ-standardized grass allergy immunotherapy clinical trials (GT-08 & GT-12).

Users logged allergy burden a median of 3 times over the study duration, with both overall number of logs and average reported allergy burden peaking during the grass pollen seasons. Approximately 40% of German, 43% of British, and 18% of US users were identified as likely grass pollen allergic. Overall, the allergy burden reported by the likely grass-allergic app users strongly correlated with the allergy burden in the clinical trials (Pearson correlation coefficient >0.85). Polysensitization and medicine use were prevalent, and self-reported medication use was associated with increased self-reported allergy burden.

The klarify app data can be used to identify likely allergic individuals and reflects real-world allergy burden, aligning with clinical trial data. These findings suggest that self-reported allergy diaries could aid in diagnosing and managing pollen allergies, transitioning towards patient-centered care.