Severe Disease in Patients With Recent-Onset Psoriatic Arthritis. Prediction Model Based on Machine Learning.

ABSTRACT:

Objectives

To identify patient- and disease-related characteristics that make it possible to predict higher disease severity in 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. Severe disease was defined at each visit as fulfillment of at least 1 of the following criteria: need for systemic treatment, Health Assessment Questionnaire (HAQ) > 0.5, polyarthritis. The dataset contained data for the independent variables from the baseline visit and follow-up visit number 1. These were matched with the outcome measures from follow-up visits 1 and 2, respectively. W

SUBMITTER: Queiro R 

PROVIDER: S-EPMC9097678 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature