TY - JOUR
T1 - PAPRIKA
T2 - A Question Bank for Assessing Psoriatic Arthritis Risk in Individuals of Diverse Ancestries
AU - Walsh, Jessica A.
AU - Carroll, Courtney
AU - Callis Duffin, Kristina
AU - Wang, Jing
AU - Krueger, Gerald G.
AU - Feng, Bing Jian
N1 - Publisher Copyright:
© 2023 American College of Rheumatology.
PY - 2024/3
Y1 - 2024/3
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85182863426
U2 - 10.1002/acr.25232
DO - 10.1002/acr.25232
M3 - Article
C2 - 37691268
AN - SCOPUS:85182863426
SN - 2151-464X
VL - 76
SP - 421
EP - 425
JO - Arthritis Care and Research
JF - Arthritis Care and Research
IS - 3
ER -