Clinical Improvement in Rheumatoid Arthritis Is Associated with Healthier Microvascular Function in Patients Who Respond to Antirheumatic Therapy
Bibliographic record
Abstract
OBJECTIVE: Rheumatoid arthritis (RA) is associated with increased cardiovascular (CV) mortality. Microvascular endothelial dysfunction occurs early in the development of CV disease and is worsened by inflammation. The effect of drug treatment for RA on microvascular function has been poorly studied. We assessed the effect of antirheumatic treatment on microvascular endothelial function in patients with RA, particularly to examine responders versus nonresponders to therapy. METHODS: Fifty-one patients with active RA and no previous history of CV disease were assessed at baseline and after 2 and 4 months' therapy with either anti-tumor necrosis factor-alpha drugs (etanercept, n = 27, adalimumab, n = 3) or methotrexate, n = 21. RA disease activity, inflammatory measures, and skin microvascular responses, measured using laser Doppler imaging after iontophoretic delivery of acetylcholine (ACh) and sodium nitroprusside (SNP), were assessed at each study visit. RESULTS: Disease Activity Score (DAS28) decreased significantly from baseline to visit 2 and 3 (6.04 +/- 1.2, 4.34 +/- 1.3, 4 +/- 1.3, respectively; p < 0.0001). Endothelium-dependent (ACh) and independent (SNP) responses for the whole cohort did not improve significantly after drug treatment (p = 0.250, p = 0.062, respectively). When patients who responded to antirheumatic therapy (n = 31) were analyzed, there were significant improvements in both ACh (p = 0.028) and SNP responses (p = 0.019). CONCLUSION: Microvascular endothelial function improves in patients who respond to antirheumatic therapy. These results support the importance of effective therapy for RA patients in terms of CV effects, which might extrapolate to reduced CV events in the future. Clinical trial registration no. ISRCTN57761809.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".