Predicting Psoriatic Arthritis in Psoriasis Patients – A Swiss Registry Study

Mia-Louise Nielsen*, Troels C. Petersen, Lara Valeska Maul, Jacob P. Thyssen, Simon F. Thomsen, Jashin J. Wu, Alexander A. Navarini, Thomas Kündig, Nikhil Yawalkar, Christoph Schlapbach, Wolf-Henning Boehncke, Curdin Conrad, Antonio Cozzio, Raphael Micheroli, Lars Erik Kristensen, Alexander Egeberg, Julia-Tatjana Maul

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

1 Citationer (Scopus)

Abstract

Background
Psoriatic arthritis (PsA) is a prevalent comorbidity among patients with psoriasis, heavily contributing to their burden of disease, usually diagnosed several years after the diagnosis of psoriasis.
Objectives
To investigate the predictability of psoriatic arthritis in patients with psoriasis and to identify important predictors.
Methods
Data from the Swiss Dermatology Network on Targeted Therapies (SDNTT) involving patients treated for psoriasis were utilized. A combination of gradient-boosted decision trees and mixed models was used to classify patients based on their diagnosis of PsA or its absence. The variables with the highest predictive power were identified. Time to PsA diagnosis was visualized with the Kaplan-Meier method and the relationship between severity of psoriasis and PsA was explored through quantile regression.
Results
A diagnosis of psoriatic arthritis was registered at baseline of 407 (29.5%) treatment series. 516 patients had no registration of PsA, 257 patients had PsA at inclusion, and 91 patients were diagnosed with PsA after inclusion. The model’s AUROCs was up to 73.7%, and variables with the highest discriminatory power were age, PASI, physical well-being, and severity of nail psoriasis. Among patients who developed PsA after inclusion, significantly more first treatment series were classified in the PsA-group, compared to those with no PsA registration. PASI was significantly correlated with the median burden/severity of PsA (P = .01).
Conclusions
Distinguishing between patients with and without PsA based on clinical characteristics is feasible and even predicting future diagnoses of PsA is possible. Patients at higher risk can be identified using important predictors of PsA.
OriginalsprogEngelsk
TidsskriftJournal of Psoriasis and Psoriatic Arthritis
Vol/bind9
Udgave nummer2
Sider (fra-til)41-50
Antal sider9
ISSN2475-5303
DOI
StatusUdgivet - 2024

Bibliografisk note

Funding Information:
With no relation to the present manuscript, Dr. Schlapbach has received honoraria as adviser for Abbvie, BMS, LEO Pharma, Lilly, Kiowa Kirin, Novartis, and Pfizer and has received research funding from PPM Services.

Publisher Copyright:
© The Author(s) 2023.

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