Impact of TNF inhibitors on inflammation-associated cognitive dysfunction in patients with rheumatoid arthritis: a prospective analysis
Bibliographic record
Abstract
Objectives To evaluate cognitive improvement in patients with rheumatoid arthritis (RA) after 6 months of treatment with tumor necrosis factor (TNF) inhibitors, analyze associated factors, and determine the percentage of patients achieving cognitive improvement. Methods This was a single-center prospective observational study conducted over 12 months on 70 RA patients initiating their first biologic disease-modifying antirheumatic drug (bDMARD) with a TNF inhibitor. Cognitive function was assessed at baseline and after 6 months using validated neuropsychological tests, including the Montreal Cognitive Assessment (MoCA) for global cognitive function, the digit span forward and backward tests for attention and working memory, and the Stroop-W, Stroop-C, and Stroop-CW tests for executive function and processing speed. Patient-reported outcomes were assessed using the Hospital Anxiety and Depression Scale (HADS) and the Quality of Life-Rheumatoid Arthritis Scale-II (QOL-RA II). Clinical variables, disease activity measured by the 28-joint Disease Activity Score based on C-reactive protein (DAS28-CRP), inflammatory markers including C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR), and patient-reported outcomes were recorded. Associations with average CRP and Health Assessment Questionnaire (HAQ) scores were analyzed throughout the follow-up period. Cognitive improvement was defined as a ≥20% increase in MoCA test scores. Logistic regression was performed to identify factors associated with improvement. Results A total of 70 patients (mean age, 56.2 years; 81.4% female) were included. After 6 months, patients showed significant cognitive improvement in a validated questionnaire, namely, the Montreal Cognitive Assessment (MoCA test 23.1 ± 3.6 to 24.1 ± 3.3; p = 0.001), particularly in the executive and memory domains. Significant improvements were also observed in the digit span forward test (p = 0.003), digit span backward test (p = 0.021), Stroop-W test (p = 0.040), Stroop-C test (p = 0.014), and Stroop-CW test (p = 0.035). Improvements in the MoCA were associated with educational level (B = 2.628; p < 0.001), average CRP (B = −0.154; p = 0.002), and average HAQ (B = −0.303; p = 0.022). Similar associations were found for the other tests. Conclusion TNF inhibitor therapy in RA patients is associated with significant cognitive improvement, particularly in executive function and memory. These findings highlight the potential cognitive benefits of effective RA treatment and underscore the importance of addressing modifiable risk factors to enhance patient quality of life.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".