Real-world adalimumab survival and discontinuation factors in hidradenitis suppurativa.

BACKGROUND AND OBJECTIVES:Survival analyses can provide valuable insights into effectiveness and safety as perceived by prescribers. Here, we aimed to evaluate adalimumab (ADA) survival and the interruption risk factors in a multicentre cohort of patients with hidradenitis suppurativa (HS). Moreover, we performed a subanalysis considering the periods before and after the onset of the COVID-19 pandemic. METHODS:We conducted a retrospective study including 539 adult patients with HS who received ADA from 1 May 2015 to 31 December 2022. Overall drug survival was analysed using Kaplan-Meier survival curves and compared between the subgroups via stratified log-rank test. Possible predictors for overall drug survival and reasons for discontinuation were assessed using univariate and multivariate Cox regression. RESULTS:Overall, 50.1% were females with a mean age of 43.5 ± 1 years and a mean BMI of 29.5 ± 6.7. At the start of ADA, 95.29% were biologic-naïve and 24.63% had undergone surgical treatment. During follow-up, 9.46% of patients required dose escalation, while 39.92% interrupted ADA. Concomitant therapy was used in 64.89% of cases. A subanalyses comparing pre- and post-pandemic periods revealed a tendency to initiate ADA treatment at a younger age, among patient with higher BMI and at a lower HS stage after COVID-19 pandemic. Interestingly, ADA demonstrated extended survival compared to previous studies, with a median overall drug survival of 56.2 months (95% CI 51.2 to 80.3). The primary causes for discontinuation were inefficacy (51.69%), followed by adverse effects (21.35%). Female sex, longer delay in HS diagnosis, higher baseline IHS4 score and concomitant spondyloarthritis were associated with poorer ADA survival or increased risk of discontinuation. CONCLUSIONS:ADA demonstrated prolonged survival (median 56.2 months). While addition of antibiotics did not have a positive effect on survival rate, basal IHS4 proved useful in predicting ADA survival.