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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 betwe
SUBMITTER: Nielsen ML
PROVIDER: S-EPMC11361495 | biostudies-literature | 2024 Apr
REPOSITORIES: biostudies-literature