Background: The term "super responder" identifies a group of patients who exhibit a rapid and optimal response to biological treatment compared to the overall treated population. The primary objective of our study is to characterize this subgroup of patients to enable the early identification of those who will respond most effectively to the proposed treatment while also evaluating clinical efficacy. Methods: This retrospective study evaluated 232 patients treated with guselkumab in monotherapy for at least 20 weeks between November 2018 and November 2023. Patients were divided into two groups: those who achieved complete clear skin (PASI = 0) during the first 20 weeks of treatment were defined as super responders (SRe) and non-super responders (nSRe) were the remaining patients. PASI was assessed at weeks 0, 4, and subsequently every eight weeks. Predictors of the SRe status were evaluated by univariate and multivariate logistic regression analyses. Results: The univariate analyses showed that patients with psoriatic arthritis at the baseline, bio-naïve patients, or those who had not received an interleukin (IL) 17 inhibitor as their last therapy before guselkumab administration were more likely to be super responders to the proposed treatment. Multivariate logistic analysis models suggested that the combination of psoriatic arthritis at the baseline and the bio-naïve condition was the strongest predictive model for the SRe status. At week 204, the main difference between the two groups concerned the achievement of PASI100, maintained by 86.8 of SRe compared to 62.8% of nSRe. Conclusions: The efficacy and safety of guselkumab are confirmed in our real-life experience. Identifying the SRe status will undoubtedly play a role in clinical practice and the therapeutic decision-making algorithm.
Keywords: bio-naïve; guselkumab; psoriasis; super responder.