Synovitis and Osteitis Are Very Frequent in Rheumatoid Arthritis Clinical Remission: Results from an MRI Study of 294 Patients in Clinical Remission or Low Disease Activity State
Bibliographic record
Abstract
OBJECTIVE: In rheumatoid arthritis (RA), radiographic progression may occur despite clinical remission. This may be explained by subclinical inflammation. Magnetic resonance imaging (MRI) provides a greater sensitivity than clinical examination and radiography for assessing disease activity. Our objective was to determine the MRI characteristics of RA patients in clinical remission or low disease activity (LDA) state. METHODS: Databases from 6 cohorts were collected from 5 international centers. RA patients in clinical remission according to Disease Activity Score28-C-reactive protein (DAS28-CRP < 2.6; n = 213) or LDA-state (2.6 ≤ DAS28-CRP < 3.2; n = 81) with available MRI data were included. MRI were assessed according to the OMERACT RA MRI scoring system (RAMRIS). PATIENT CHARACTERISTICS: 70% women, median age 55 (interquartile range, IQR 43-63) years, disease duration 2.3 (IQR 0.7-5.1) years, DAS28-CRP 2.2 (IQR 1.8-2.6), Simplified Disease Activity Index, SDAI, 3.9 (IQR 1.9-6.5), Clinical Disease Activity Index, CDAI, 3.1 (IQR 1.5- 5.8), rheumatoid factor/anti-cyclic citrullinated peptide positivity 57%/54%, presence of radiographic erosions: 66%. Wrist and metacarpophalangeal MRI (MCP-MRI) data were available for 287 and 241 patients, respectively. MRI inflammatory activity in wrist and/or MCP joints was observed in the majority [synovitis: 95%, bone edema (osteitis): 35%] of patients. The median (IQR) RAMRIS score was 6 (3-9) for synovitis and 0 (0-2) for osteitis. Synovitis and osteitis were not less frequent in DAS28 clinical remission (synovitis/osteitis 96%/35%) than LDA (91/36). A trend towards lower frequencies of osteitis in patients in SDAI and CDAI remission was observed. CONCLUSION: Subclinical inflammation was identified by MRI in the majority of RA patients in clinical remission or LDA state. This may explain structural progression in such patients. Further work is required to understand the place of modern imaging in future remission criteria.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".