Psoriatic Disease Across Dimensions: Global Epidemiology, Comorbidity, and Artificial Intelligence in Treatment Prediction.

Publication date: Jul 01, 2026

The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2025 annual meeting featured a new “Soapbox: Rapid fire presentations” session, highlighting various topics and emerging work across diverse areas of psoriatic disease (PsD). Three presentations are summarized here. The first provided the first national epidemiologic analysis of PsD in Peru, demonstrating marked age, sex, and geographic disparities, as well as shifts in healthcare utilization following the coronavirus 2019 pandemic. The second explored the burden of comorbid depression in PsD, underscoring the bidirectional relationship between systemic inflammation and psychiatric symptoms, and its effect on treatment outcomes. The third introduced a proof-of-concept study using artificial intelligence, employing supervised learning on clinic notes to predict early trajectories of difficult-to-treat psoriatic arthritis with high accuracy. Collectively, these studies highlight the epidemiologic, psychosocial, and technological dimensions of PsD research, and emphasize the need for multidisciplinary approaches and novel tools to improve outcomes across diverse patient populations.

Concepts Keywords
Annual Arthritis
Clinic Artificial
Coronavirus Comorbidity
Pandemic Dimensions
Peru Diverse
Epidemiologic
Epidemiology
Global
Intelligence
Outcomes
Prediction
Presentations
Psd
Psoriatic
Treatment

Semantics

Type Source Name
disease MESH Psoriasis
disease MESH Psoriatic Arthritis
disease MESH inflammation

Original Article

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