Unknown

Dataset Information

Using patient-reported measures to predict hospitalisation in a population-based lupus cohort.


ABSTRACT:

Objective

SLE is a multisystem autoimmune disease where periods of disease activity, often difficult to predict, can cause irreversible disease damage. This study aimed to develop a patient-centric predictive model using real-world data that can identify patients with SLE at a higher risk of hospitalisation compared with the general SLE population.

Methods

This observational, retrospective analysis used data from the Georgians Organized Against Lupus (GOAL) cohort from 2011 to 2013. The GOAL cohort is a population-based SLE cohort that collects yearly self-report surveys covering participants' sociodemographic characteristics, clinical characteristics and perceived SLE symptoms (using the Systemic Lupus Activity Questionnaire (SLAQ)). GOAL data were linked to the Georgia Hos

SUBMITTER: Lim SS 

PROVIDER: S-EPMC11931938 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature