Journal of the European Academy of Dermatology and Venereology | 2021
Alemtuzumab, total skin electron beam, and non‐myeloablative allogeneic haematopoietic stem‐cell transplantation in advanced sezary syndrome: a retrospective cohort study
Abstract
performing multivariate linear regression analysis and adjusting for sex, age, and indication for CA (ACS or CCS): for every point of PASI score increase, the SYNTAX score increased 0.9 points (95% CI: 0.58–1.13, P<0.001). In the absence of studies that identify which psoriatic patients are more likely to suffer from severe CAD, we report for the first time a strong linear association between psoriasis and angiographic CAD complexity. Higher psoriasis severity documented by increased PASI score is correlated with more complex CAD based on the calculated SYNTAX score. These findings extend previous research, suggesting that psoriasis could be an independent risk factor for atherosclerosis and for major adverse cardiovascular events. The observed linear association between the PASI and SYNTAX score might also pinpoint the shared pathomechanisms between psoriasis and atherosclerosis. More specifically, the augmented inflammatory process in psoriatic patients could reflect both the high plaque burden in psoriasis and the presence of severe CAD. Moreover, other chronic inflammatory diseases such as rheumatoid arthritis, systemic lupus erythematosus and systemic sclerosis also play a crucial role in the progression of atherosclerosis. Our findings suggest that physicians should suspect more complex CAD in patients with more severe forms of psoriasis. However, our results should be interpreted in the light of the limitations of our study, including its small sample size, its single-centre, single-arm design and the lack of information concerning other probable confounders such as antilipidaemic or other systemic psoriasis treatment. Additional studies are warranted to confirm the causality between psoriasis severity and CAD complexity with the potential to facilitate interdisciplinary risk stratification and improve patient outcomes.