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

Area of Science:

• Rheumatology
• Dermatology
• Genetics

Background:

• Psoriatic arthritis (PsA) diagnosis can be challenging, particularly across diverse ancestries.
• Identifying predictive clinical factors for PsA in psoriasis patients is crucial for early intervention.

Purpose of the Study:

• To develop a patient-completed question bank for predicting psoriatic arthritis risk.
• To identify clinical predictors of PsA in psoriasis patients across various ancestries and skin tones.

Main Methods:

• Analysis of Utah Psoriasis Initiative participants to identify clinical predictors of PsA using Cox proportional hazards regression.
• Inference of patient ancestry from exome sequencing data.
• Development of the Psoriatic Arthritis Prediction and Identification Question Bank for Diverse Ancestries (PAPRIKA) based on findings and literature.

Main Results:

• Patient-reported untreated psoriasis induration and history of fingernail psoriasis were significantly associated with PsA in both European and non-European ancestry groups.
• PAPRIKA version 1.0 was created, incorporating psoriasis characteristics, arthritis symptoms, comorbidities, family history, and demographics.
• The developed question bank is accessible online for patient use.

Conclusions:

• Key clinical features for PsA prediction in European populations are also effective for non-European populations.
• PAPRIKA enables patient-driven data collection for PsA risk assessment, irrespective of provider involvement.
• The tool is designed to be relevant and applicable to psoriasis patients from diverse ancestral backgrounds.