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Stability of symptom-based subtypes in Sjogren's disease

Lookup NU author(s): Dr Jessica Tarn, John CasementORCiD, Dr Dennis Lendrem, Dr Kyle Thompson, Professor Fai Ng

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ. OBJECTIVES: The Newcastle Sjogren's Stratification Tool (NSST) stratifies Sjogren's disease patients into four subtypes. Understanding the stability of the subtypes is vital if symptom-based stratification is to be more broadly adopted. In this study, we stratify patients longitudinally to understand how symptom-based subtypes vary over time and factors influencing subtype change. METHODS: 274 patients from the United Kingdom Primary Sjögren's Syndrome Registry (UKPSSR) with data permitting NSST subtype assignment from two study visits were included. The French Assessment of Systemic Signs and Evolution of Sjogren's Syndrome (ASSESS) cohort (n=237) acted as an independent comparator. Group analyses of significant differences were performed, with logistic regression models used to assess covariates of subtype stability. RESULTS: UKPSSR and ASSESS cohorts showed a broadly similar proportion of subjects in each subtype and similar baseline clinical characteristics except body mass index (BMI). Several baseline characteristics differ significantly between the subtypes, most notably anti-Ro status and BMI. Subtype membership was reasonably stable in both cohorts with 60% and 57% retaining subtype. The high-symptom burden subtype was the most stable over time with 70% and 67% retaining subtype. Higher baseline probability score was the greatest predictor of subtype stability with higher C4 levels, antidepressant use, and a higher CCI score also predicting increased stability. CONCLUSION: NSST subtype membership remains stable over time in a large proportion of patients. When subtype transition is associated with factors at baseline, it is most strongly associated with an uncertain subtype allocation. Our findings support the hypothesis that symptom-based subtypes reflect genuine pathobiological endotypes and therefore maybe important to consider in trial design and clinical management.


Publication metadata

Author(s): Berry JS, Tarn J, Casement J, Lendrem D, Thompson K, Mariette X, Gottenberg J-E, Ng W-F

Publication type: Article

Publication status: Published

Journal: RMD Open

Year: 2024

Volume: 10

Issue: 4

Print publication date: 24/11/2024

Online publication date: 24/11/2024

Acceptance date: 06/11/2024

Date deposited: 16/12/2024

ISSN (electronic): 2056-5933

Publisher: BMJ Publishing Group

URL: https://doi.org/10.1136/rmdopen-2024-004914

DOI: 10.1136/rmdopen-2024-004914

Data Access Statement: All data relevant to the study are included in the article or uploaded as supplementary information.

PubMed id: 39581689


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Funding

Funder referenceFunder name
806975IMI Joint Undertaking
FOREUM
Medical Research Council: G0800629
MR/J002720/1Medical Research Council (MRC)
Newcastle upon Tyne Hospitals NHS Trust
NIHR Biomedical Research Centre at Newcastle University

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