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DOI 10.3899/jrheum.2026-0468

Медицинская библиотека · The Journal of rheumatology · 2026

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

Koppikar Sahil, Rodríguez-Zúñiga Milton, Dua Devika, Mathew Ashish J

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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.

Для цитирования: Koppikar Sahil, Rodríguez-Zúñiga Milton, Dua Devika, Mathew Ashish J. Psoriatic Disease Across Dimensions: Global Epidemiology, Comorbidity, and Artificial Intelligence in Treatment Prediction.. The Journal of rheumatology. 2026. DOI: 10.3899/jrheum.2026-0468.

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