A multiparametric risk table for loss of clinical remission status in patients with rheumatoid arthritis: a STARTER study post-hoc analysis
Authors' conclusion
An adaptive flare-prediction model tool, based on data available in outpatient settings, was developed as a multiparametric risk table.
Study context
- Population
- RA patients in DAS28-defined clinical remission, musculoskeletal ultrasonographic (MSUS) examination per OMERACT guidelines
- Participants
- 389 patients
- Comparison
- RA patients with disease flare vs those with persistent remission
- Flaren = 137
- Primary endpoint
- Predictive clinical and MSUS features associated with disease flare
- Follow-up
- 12 months
Methodological detailspost-hoc analysis, logistic regression, risk table
- Post-hoc analysis
- Logistic regression
- Risk table
Primary result
As reported in the abstract
Features associated with disease flare
ACPA positivity (%)
75.9% vs 62.3%
P = 0.007
Flare
Sustained clinical remission at baseline (%)
44.1% vs 68.5%
P = 0.001
Flare
Synovium power Doppler signal presence (%)
58.4% vs 33.3%
P < 0.001
Flare
- Predictive model (ACPA, sustained remission, power Doppler) for flare, aOR
- 3.064 (95% CI 1.728-5.432)
Further findings
Disease flare incidence · 12 months
- RA patients with disease flare
- 137 (35%)
Original publication
A multiparametric risk table for loss of clinical remission status in patients with rheumatoid arthritis: a STARTER study post-hoc analysis. Rheumatology (Oxford). Published 13 February 2024. doi:10. 1093/ rheumatology/ keae094
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