Abstract
Disease activity of rheumatoid arthritis (RA), evaluated as Disease Activity Score (DAS), is associated with joint destruction.Since joint destruction reflects the history of disease activities, we hypothesized that time-averaged disease activity would better correlate with joint destruction than one-time disease activity.We recruited RA patients in IORRA (n = 557) and KURAMA (n = 204) cohorts, and calculated time-averaged DAS28 to model a modified Sharp/van der Heijde score (SHS).We evaluated the fitting of the model using time-averaged DAS28 among 1000 models in which we randomly picked up one-time DAS28.We also used clinical disease activity index (CDAI) or data in the BeSt study (European population).After conditioning on autoantibody and disease duration, time-averaged DAS28 showed significant improvement of model fitting compared with one-time DAS28 in both cohorts (p = 0.001 and 0.034, respectively).Time-averaged CDAI also showed a better fit.Integration of multiple DAS fit SHS better in the BeSt study.A good fit of time-averaged DAS could be observed using five to six time points of DAS.In conclusion, time-averaged disease activity fits the joint destruction model better than one-time disease activity.Usage of time-averaged disease activity as a covariate would increase the power of studies to identify novel correlates of joint destruction.
| Original language | English |
|---|---|
| Article number | 5856 |
| Journal | Scientific reports |
| Volume | 7 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 01-12-2017 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- General
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