Multiple Biologics for Multiple T2 Diseases: A Pharmacoepidemiological Algorithm for Sorting Out Patients by Indication

Background: Several biologics (Bx) and targeted synthetic drugs (TSD) exist to treat T2 diseases, including chronic spontaneous urticaria (CSU), severe asthma (SA), chronic rhinosinusitis with nasal polyposis (CRSwNP) or atopic dermatitis (AD).

Objective: To identify patients treated with Bx/TSD from a dynamic dispensing database using an algorithm-based methodology.

Methods: We used the LRx database (Lifelink Treatment dynamics, IQVIA) which covers nearly 45% of the French retail pharmacies. Patients who had at least one Bx/TSD dispensing from April 2021 to March 2022 were included. An algorithm was designed to determine the indication of the Bx/TSD prescription analyzing all previous drug dispensation since March 2012 following a 3-steps procedure.

Results: A total of 21,677 patients received at least one Bx/TSD between March 2021 and April 2022. The algorithm identified 91.7% (n = 19,884) patients with a T2 disease (AD = 18.4%, CRSwNP = 1.5%, SA = 59.5%, and CSU = 12.4%), the rest having either an association of diseases (1%) or an undetermined one (7.3%). SA was the main reason for Bx/TSD initiation (52%), followed by AD (29%), CSU (14%) and CRSwNP (5%). For SA patients already under biologic at entry, omalizumab was the most frequently prescribed (48%) followed by benralizumab, mepolizumab (22% each) and dupilumab (8%). Dupilumab was mostly prescribed for AD patients (89% for patient-initiated vs 96% for patient-renewed) followed by baricitinib.

Conclusion: The algorithm was able to identify patients with T2 diseases under Bx/TSD treatments. This tool may help to follow the evolution of prescription patterns in the future.