Time trends of variability in disease activity in systemic lupus erythematosus.

ABSTRACT:

Objective

Disease activity both between and within patients with SLE is highly variable, yet factors driving this variability remain unclear. This study aimed to identify predictors of variability in SLE disease activity over time.

Methods

We analysed data from 2930 patients with SLE across 13 countries, collected over 38 754 clinic visits between 2013 and 2020. Clinic visit records were converted to panel data with 1-year intervals. The time-adjusted mean disease activity, termed AMS, was calculated. The yearly change in [Formula: see text], denoted as [Formula: see text], was regressed onto [Formula: see text] and other potential predictors using random-effects models. Some variables were split into a person-mean component to assess between-patient differences and a

SUBMITTER: Li N 

PROVIDER: S-EPMC11822427 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature