Real-World Treatment Patterns and Outcomes from an Electronic Medical Records Database for Patients with Rheumatoid Arthritis Treated with Repository Corticotropin Injection
Bibliographic record
Abstract
PURPOSE: Gel) is a naturally sourced mixture of adrenocorticotropic hormone analogs and other pituitary peptides that exerts anti-inflammatory and immunomodulatory properties via melanocortin receptors. RCI is approved as a short-term adjunctive therapy for rheumatoid arthritis (RA) and is typically used in patients with refractory RA. The objective of this study was to describe real-world outcomes of RA patients treated with RCI by retrospective analysis of an electronic medical records (EMR) database. PATIENTS AND METHODS: ) data repository for patients who used RCI for the treatment of RA. Demographics, comorbidities, disease history, medications, and laboratory evaluations 365 days prior to and 365 days after initiation of RCI were examined. RESULTS: The patient cohort was predominantly White females with a mean age of 60 years and high RA activity prior to RCI therapy. Clinical measures of disease severity indicated that patients had high RA activity before starting RCI therapy. Clinical Disease Activity Index (CDAI) scores were significantly reduced 365 days post-initiation of RCI. Swollen and tender joint counts and patient-reported outcomes, including Routine Assessment of Patient Index Data 3 (RAPID3), Physician Global Assessment, and patient assessment of pain severity were also significantly lower. The number of patients taking conventional synthetic (cs) disease-modifying antirheumatic drugs (DMARDs), biologic (b) DMARDs, nonsteroidal anti-inflammatory drugs (NSAIDS), and opioids decreased, as did the number of drugs tried within each class for csDMARDs, bDMARDs, NSAIDs, and glucocorticoids. CONCLUSIONS: These findings suggest that RCI significantly improves clinical outcomes of RA and decreases the need for concomitant medications for up to 1 year following initiation of therapy. The study provides valuable insights into the use of RCI and management of these difficult-to-treat RA patients during routine clinical practice.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".