Real-world adalimumab survival and discontinuation factors in hidradenitis suppurativa

Background and ObjectivesSurvival 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.MethodsWe 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.ResultsOverall, 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-na & iuml;ve 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.ConclusionsADA 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.