Identification and Prediction of Fatigue Trajectories in People With Rheumatoid Arthritis.

ABSTRACT:

Objective

We aimed to identify groups demonstrating different long-term trajectories of fatigue among people with rheumatoid arthritis and determine baseline predictors for these trajectories.

Methods

Our study included 2741 people aged 18 to 75 years who were independent in daily living. Data were collected from the Swedish Rheumatology Quality Register and questionnaires at baseline, 14 months, and 26 months. Fatigue was rated on a 100-mm visual analog scale. K-means cluster analysis was used to identify fatigue trajectories. Multinomial logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals for potential predictors of trajectory membership.

Results

The mean age was 60 years, 73% of participants were female, and the mean baseline fat

SUBMITTER: Pettersson S 

PROVIDER: S-EPMC8843747 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature