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PAPRIKA: A Question Bank for Assessing Psoriatic Arthritis Risk in Individuals of Diverse Ancestries.

Authors :
Walsh, Jessica A.
Carroll, Courtney
Callis Duffin, Kristina
Wang, Jing
Krueger, Gerald G.
Feng, Bing‐Jian
Source :
Arthritis Care & Research; Mar2024, Vol. 76 Issue 3, p421-425, 5p
Publication Year :
2024

Abstract

Objective: We aimed to create a question bank about clinical factors for predicting the diagnoses of psoriatic arthritis in patients with psoriasis of various ancestries and skin tones, which can be completed entirely by patients. Methods: Utah Psoriasis Initiative participants without a psoriatic arthritis diagnosis at enrollment were observed for diagnosis during the study period. We inferred ancestry from exome sequencing data and performed Cox proportional hazards regression to identify clinical predictors of psoriatic arthritis in different ancestry groups. Based on results and literature review, we developed a question bank for assessing psoriatic arthritis risk among patients with psoriasis in various ancestries. Results: Patient‐reported untreated psoriasis induration and history of fingernail psoriasis were associated with psoriatic arthritis in participants of European and non‐European ancestry. We developed the Psoriatic Arthritis Prediction and Identification Question Bank for Diverse Ancestries (PAPRIKA) version 1.0, which included questions regarding psoriasis characteristics, arthritis symptoms, comorbidities, family history, and demographics. PAPRIKA is accessible at http://bjfenglab.org/. Conclusion: The clinical features (untreated psoriasis induration and history of fingernail psoriasis) that can predict psoriatic arthritis in European individuals also work for non‐European individuals. PAPRIKA can be used to gather psoriatic arthritis predictive data from patients with psoriasis without provider assistance and is relevant for patients across ancestries. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2151464X
Volume :
76
Issue :
3
Database :
Complementary Index
Journal :
Arthritis Care & Research
Publication Type :
Academic Journal
Accession number :
175673022
Full Text :
https://doi.org/10.1002/acr.25232