Cluster analysis identifies the differential impact of disease activity and severity on functional status and patient satisfaction in rheumatoid arthritis: the FRANK registry
Authors' conclusion
The study highlights the importance of understanding the heterogeneous nature of RA and its impact on patient outcomes.
Study context
- Population
- Rheumatoid arthritis (RA) patients in the FRANK registry
- Participants
- 3,619 patients
- Exposure
- Five patient clusters based on age, physician's global assessment (PhGA), patient's pain assessment (PtPA) and Steinbrocker stage
- Cluster 1n = 1,195
- Cluster 2n = 641
- Cluster 3n = 1,117
- Cluster 4n = 385
- Cluster 5n = 281
- Outcome
- Functional status (mHAQ)
Methodological detailsregistry-based, hierarchical and k-means cluster analyses
- Registry-based
- Hierarchical and k-means cluster analyses
Main finding
As reported in the abstract
Cluster 1
0.18
SD 0.30
Cluster 2
0.15
SD 0.26
Cluster 5
0.87
SD 0.65
Observational data: associations, not effects.
Further findings
| Outcome | Values |
|---|---|
| Satisfaction with treatment efficacy (1: very satisfied to 6: very unsatisfied) | Cluster 1 1.9 (SD 0.7) · Cluster 2 2.0 (SD 0.7) · Cluster 5 2.9 (SD 0.9) |
| Steinbrocker stage III-IVDespite controlled inflammation | Cluster 3 95.4% |
| Disease activity, Cluster 4 (PhGA vs PtPA)Value is mean PhGA | Cluster 4 mean 0.9 (SD 0.5) · mean PtPA 5.0±2.1 |
| Quality of life (EQ5D) | Cluster 5 0.60 (SD 0.17) |
Satisfaction with treatment efficacy (1: very satisfied to 6: very unsatisfied)
- Cluster 4: more pronounced negative effect on satisfaction
Original publication
Cluster analysis identifies the differential impact of disease activity and severity on functional status and patient satisfaction in rheumatoid arthritis: the FRANK registry. Clin Exp Rheumatol. Published 16 June 2024. doi:10.
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