Lupus & antiphospholipid syndrome
Predictors of patient-reported outcomes phenotypes in SLE during remission: a cluster analysis approach
Authors' conclusion
Among SLE patients in remission, two distinct health-related quality of life phenotypes can be identified: an HSB and an LSB. Fibromyalgia and glucocorticoid treatment emerged as independent predictors of HSB.
Study context
- Population
- Adult consecutive SLE outpatients in stable clinical remission, single centre
- Participants
- 195 outpatients
- Exposure
- High symptom burden vs low symptom burden PRO clusters
- High symptom burden (HSB)n = 114
- Low symptom burden (LSB)n = 81reference
- Outcome
- PRO-based clusters (fatigue FACIT, Lupus Impact Tracker, SF-36 mental and physical component summaries) and predictors of cluster membership
Methodological detailsmonocentric, hierarchical cluster analysis, logistic regression
- Monocentric
- Hierarchical cluster analysis
- Logistic regression
Main finding
As reported in the abstract
Independent predictors of HSB membership (logistic regression)
HSB vs LSBOdds ratio (95% CI)P value
Fibromyalgia
7.27(2.27–29.15)
P = 0.002GC treatment
3.05(1.43–6.77)
P = 0.005- Renal involvement (associated with LSB membership)
- OR 0.23 (95% CI 0.10–0.51); P ≤ 0.001
Observational data: associations, not effects.
Further findings
Previous renal involvement
P < 0.001
Previous NPSLE
P = 0.001
FM
P = 0.001
Ongoing GC use
P = 0.004
| Outcome | HSB | LSB | P value |
|---|---|---|---|
| Age at diagnosis | 33.23 ± 11.97 | 27.75 ± 11.57 | P = 0.002 |
Original publication
Predictors of patient-reported outcomes phenotypes in SLE during remission: a cluster analysis approach. Lupus Sci Med. Published 6 October 2025. doi:10. 1136/ lupus-2025-001673
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