Better clinical outcome of total knee arthroplasty for rheumatoid arthritis with perioperative glucocorticoids and disease-modifying anti-rheumatic drugs after an average of 11.4-year follow-up
Bibliographic record
Abstract
Abstract Background Previous evidence suggested that perioperative anti-rheumatic therapy for patients receiving total knee arthroplasty (TKA) helped improve postoperative rehabilitation for rheumatoid arthritis (RA), yet long-term effects and outcomes of perioperative drug therapy in TKA presently remain unclear. This study investigated whether perioperative treatment with glucocorticoids (GC) and disease-modifying anti-rheumatic drugs (DMARDs) can improve clinical outcomes for patients with RA undergoing TKA. Methods Patients between January 2000 and December 2011 were allocated into three groups based on perioperative drug therapy: A, control group (no GC or DMARDs), B, DMARD group (DMARDs given without GC), and C, co-therapy group (DMARDs plus GC). The patients were followed up for average 11.4 years. Baseline characteristics, pre- and post-operative Hospital for Special Surgery score (HSS), laboratory parameters, and complications were recorded by follow-up. Results Fifty-six RA patients undergoing 91 TKAs were included in this study. Patients who received perioperative GC with DMARDs (group C) achieved larger/increased range of motion (ROM) (C:122.17 vs A:108.31 vs B:108.07, p = 0.001, partial eta squared ( η 2 p) = 0.18) at 1 year, better HSS score (C, 83.01 vs A, 79.23 vs B, 77.35, p = 0.049, η 2 p = 0.067), pain relief (C, 1.09 vs A, 1.17 vs B, 1.75, p = 0.02, η 2 p = 0.094), and ROM (C, 130.81 vs A, 112.82 vs B, 113.58, p = 0.001, η 2 p = 0.142) at latest follow-up comparing with the other treatment groups. No differences were noted in laboratory tests, blood loss, volume of transfusion, or complications among groups. Conclusions Compared with the other perioperative anti-rheumatic treatments, the combination of GC and DMARDs results in improved HSS score, better function, larger range of motion, and reduced postoperative pain for TKA patients with RA in the long term. Further investigation is warranted to look for a better understanding of more specific medication effects and strike a good balance between the benefits and complications for long-term pharmacotherapy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".