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Dataset Information

Distinct patterns of disease activity over time in patients with active SLE revealed using latent class trajectory models.


ABSTRACT:

Background

Systemic lupus erythematosus (SLE) is a heterogeneous systemic autoimmune condition for which there are limited licensed therapies. Clinical trial design is challenging in SLE due at least in part to imperfect outcome measures. Improved understanding of how disease activity changes over time could inform future trial design. The aim of this study was to determine whether distinct trajectories of disease activity over time occur in patients with active SLE within a clinical trial setting and to identify factors associated with these trajectories.

Methods

Latent class trajectory models were fitted to a clinical trial dataset of a monoclonal antibody targeting CD22 (Epratuzumab) in patients with active SLE using the numerical BILAG-2004 score (nBILAG). The baseline c

SUBMITTER: Reynolds JA 

PROVIDER: S-EPMC8320218 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature