Systemic lupus erythematosus phenotypes formed from machine learning with a specific focus on cognitive impairment.

ABSTRACT:

Objective

To phenotype SLE based on symptom burden (disease damage, system involvement and patient reported outcomes), with a specific focus on objective and subjective cognitive function.

Methods

SLE patients ages 18-65 years underwent objective cognitive assessment using the ACR Neuropsychological Battery (ACR-NB) and data were collected on demographic and clinical variables, disease burden/activity, health-related quality of life (HRQoL), depression, anxiety, fatigue and perceived cognitive deficits. Similarity network fusion (SNF) was used to identify patient subtypes. Differences between the subtypes were evaluated using Kruskal-Wallis and χ2 tests.

Results

Of the 238 patients, 90% were female, with a mean age of 41 years (s.d. 12) and a disease duration of 14 ye

SUBMITTER: Barraclough M 

PROVIDER: S-EPMC10629781 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature