Lupus & antiphospholipid syndrome
Prognostic value of baseline clinical features in SLE: a cluster analysis
Main findingResult — go to the resultOdds ratio 2.05 95% CI 1.01–4.16Authors' conclusion
Cluster analysis based on clinical involvement in SLE can identify homogeneous patient subgroups and predict long-term outcomes.
Study context
- Population
- SLE patients fulfilling the 1997 American College of Rheumatology (ACR) classification criteria, regularly followed at the Rheumatology Clinic of Kocaeli University Hospitalmedian follow-up 168 months
- Participants
- 199 patients
- Exposure
- Clinical clusters at diagnosis and at last follow-up
- Cluster 1n = 108
- Cluster 2n = 49
- Cluster 3n = 42
- Outcome
- Clinical subgroups (clusters) at diagnosis and last follow-up and their prognostic implications for disease activity, organ damage and mortality
Methodological detailssingle-centre, cluster analysis (Gower distance, Partitioning Around Medoids)
- Single-centre
- Cluster analysis (Gower distance, Partitioning Around Medoids)
Main finding
As reported in the abstract
Odds ratio
2.05
95% CI 1.01–4.16
P = 0.046
By group
Cluster 3
OR 2.05 (95% CI 1.01–4.16); P = 0.046
- Cluster 2 had highest disease activity (SLEDAI-2K)
- P = 0.004
Observational data: associations, not effects.
Further findings
- Systemic Lupus International Collaborating Clinics (SLICC)/ACR DI (SDI) at last follow-up · median follow-up 168 months — Cluster 4'
- median 4.0 (range 0–8)
- SLICC/ACR DI (SDI) at last follow-up — Significantly higher SDI scores in Cluster 4'
- p<0.001
Mortality
- Mortality did not differ significantly between clusters
Original publication
Prognostic value of baseline clinical features in SLE: a cluster analysis. Lupus Sci Med. Published 24 June 2026. doi:10. 1136/ lupus-2026-002008
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