Minimal disease activity (MDA) in patients with recent-onset psoriatic arthritis: predictive model based on machine learning.

ABSTRACT:

Background

Very few data are available on predictors of minimal disease activity (MDA) in patients with recent-onset psoriatic arthritis (PsA). Such data are crucial, since the therapeutic measures used to change the adverse course of PsA are more likely to succeed if we intervene early. In the present study, we used predictive models based on machine learning to detect variables associated with achieving MDA in patients with recent-onset PsA.

Methods

We performed a multicenter observational prospective study (2-year follow-up, regular annual visits). The study population comprised patients aged ≥18 years who fulfilled the CASPAR criteria and less than 2 years since the onset of symptoms. The dataset contained data for the independent variables from the baseline visit and fr

SUBMITTER: Queiro R 

PROVIDER: S-EPMC9229524 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature