Incident Comorbidity Among Patients with Rheumatoid Arthritis Treated or Not with Low-dose Glucocorticoids: A Retrospective Study
Bibliographic record
Abstract
OBJECTIVE: To assess the prevalence of comorbidity in a cohort of patients with rheumatoid arthritis (RA), treated or not with low-dose glucocorticoids (GC) and who have been followed for at least 10 years. METHODS: This was a retrospective study by review of medical records. RESULTS: We identified 365 patients: 297 (81.3%) were GC users (4-6 mg methylprednisolone daily) and 68 (18.7%) were nonusers. We found that fragility fractures occurred in 18.2% of GC users and in 6.0% of GC nonusers (p < 0.02); arterial hypertension in 32.3% of GC users and in 10.4% of GC nonusers (p < 0.0005); acute myocardial infarction in 13.1% of GC users and in 1.5% of the nonusers (p < 0.01). Prevalence of diabetes mellitus, cataract, and infections was comparable. We divided GC users into groups of different duration of GC therapy: < 2, 2-5, and > 5 years; the mean duration of GC treatment was 1.3 ± 0.5, 3.6 ± 1.1, and 12.1 ± 5.1 years, respectively. GC treatment for > 5 years was associated with significantly higher prevalence of fragility fractures (26.6%; p < 0.001 vs the other groups), arterial hypertension (36.7%; p < 0.0002 vs nonusers and GC users < 2 years), myocardial infarction (16.1%; p < 0.01 vs nonusers), and infections (9.7%; p < 0.005 vs the other groups). GC treatment for 2-5 years was associated with a significantly higher prevalence of arterial hypertension (30.0%; p < 0.01) compared to nonusers. CONCLUSION: Patients with RA treated with low-dose GC compared to patients never treated with GC show a higher prevalence of fractures, arterial hypertension, myocardial infarction, and serious infections, especially after 5 years of GC treatment. The high prevalence of myocardial infarction and fractures in patients with RA suggests that a more accurate identification of risk factors and prevention measures should be adopted when longterm GC treatment is needed.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".