Psoriasis can be divided into four types: plaque psoriasis, pustular psoriasis, psoriatic arthritis (PsA), and erythrodermic psoriasis. Early identification, diagnosis, and treatment are crucial to prevent joint damage and disability, particularly as longer symptom duration can lead to severe disease or irreversible joint deformities. Given the importance of early intervention, a predictive model for PsA in patients with plaque psoriasis is urgently needed.

Research has identified several factors predictive of PsA in psoriasis patients, including severe psoriasis, nail involvement, and other manifestations. In this study, a simple yet effective prediction model was established for patients with plaque psoriasis to assess their risk of developing PsA. The study involved 746 patients with plaque psoriasis and 109 PsA patients, who were recruited from dermatology clinics across China. The model incorporates various predictive features, including demographic data, clinical manifestations, and nail involvement. The model’s accuracy was validated through internal and external cohorts, demonstrating its utility in guiding education, personalized treatment, and improving the quality of life for patients at high risk of PsA.

Reference: Liu P, Kuang Y, Ye L, et al. Predicting the Risk of Psoriatic Arthritis in Plaque Psoriasis Patients: Development and Assessment of a New Predictive Nomogram. Front Immunol. 2022;12:740968. doi: 10.3389/fimmu.2021.740968.