POS0881 Specific AI-Generated Pattern of Tender Joints and Tenderness at Enthesial Sites are Predictive for Objective Detection of Musculoskeletal Inflammation in Psoriasis Patients

Psoriasis (Pso) is one of the most common chronic inflammatory skin diseases in Europe. Psoriatic arthritis (PsA) is closely associated to Pso. Up to 30% of the Pso patients will develop PsA during skin disease course. Defined and validated approaches for early detection are still missing. Beside biomarkers from blood or imaging, clinical characteristics of the patients may be of value to detect PsA patients in the transition state early. To perform an AI-based cluster analysis in a cohort of Pso patients at-risk for development of PsA to assess clinical characteristics as markers for early PsA.