A risk prediction model was developed to identify psoriasis patients at high risk of developing psoriatic arthritis (PsA), using data from a large, prospective cohort assessed annually by rheumatologists. The model incorporated demographic, clinical, and treatment-related factors to estimate 1- and 5-year PsA risk, showing good performance (AUC 72.3 and 74.9, respectively). These findings suggest PsA can be predicted with reasonable accuracy using simple clinical variables, supporting earlier diagnosis and intervention.

Reference: Eder L, Lee K-A, Chandran V, et al. Derivation of a multivariable Psoriatic Arthritis Risk Estimation Tool (PRESTO): a step towards prevention. Ann Rheum Dis. 2023;82(4):507-514. doi:10.1136/ard-2022-223709