Seminars in arthritis and rheumatism最新文献

Chronic musculoskeletal pain (CMP) poses a widespread health and socioeconomic problem, being the most prevalent chronic pain condition. Interdisciplinary multimodal pain treatment (IMPT) is considered the gold standard, offering cost-effective long-term care. Unfortunately, only a subset of patients experiences clinically relevant improvements in pain, fatigue, and disability post-IMPT. Establishing a prediction model encompassing various outcome measures could enhance rehabilitation and personalized healthcare. Thus, the aim was to develop and validate a prediction model for IMPT success in patients with CMP. A prospective cohort study within routine care was performed, including patients with CMP undergoing a 10-week IMPT. Success across four outcome measures was determined: patients' recovery perspective, quality of life (physical and mental), and disability. Sixty-five demographic and candidate predictors (mainly patient reported outcome measures) were examined. Finally, 2309 patients participated, with IMPT success rates ranging from 30% to 57%. Four models incorporating 33 predictors were developed, with treatment control being the sole consistent predictor across all models. Additionally, predictors effects varied in direction in the models. All models demonstrated strong calibration, fair to good discrimination, and were internally validated (optimism-corrected AUC range 0.69-0.80). Our findings show that treatment success can be predicted using standardized patient-reported measures, exhibiting strong discriminatory power. However, predictors vary depending on the outcome, underscoring the importance of selecting the appropriate measure upfront. Clinically, these results suggest potential for patient-centered care and may contribute to the development of a scientifically sound decision tool.

Immune checkpoint molecules like PD-1 and its ligand PD-L1 and CTLA-4 are important regulators of the immune system. Medications blocking these pathways, immune checkpoint inhibitors, have been used to treat a variety of malignancies, while drugs agonizing these pathways, like abatacept, have been used in treating autoimmune diseases. Modulation of the PD-1/PD-L1 axis has become important for rheumatologists to understand in several different clinical scenarios. Currently, PD-1 agonists are being developed for treatment of rheumatoid arthritis (RA). In addition to patients with RA being potentially treated with PD-1 agonists, patients with rheumatoid arthritis may be treated with anti-PD-1/PD-L1 immune checkpoint inhibitors if they develop cancer. Finally, patients treated with immune checkpoint inhibitors may develop de novo inflammatory arthritis and be referred to rheumatology for management. In all three scenarios, there remain many unanswered clinical and translational questions. The parallel development of therapeutics antagonizing and agonizing the PD-1/PD-L1 pathway presents a unique chance for discovery in inflammatory arthritis.

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Background: Interstitial lung disease (ILD) is an extra-articular manifestation of rheumatoid arthritis (RA) that causes substantial morbidity and mortality. Effective, evidence-based strategies to screen for, and manage, RA-ILD are lacking.

Objectives: Highlight recent research advances in, and further opportunities to improve, the identification and management of RA-ILD.

Findings: The goals of RA-ILD screening are early disease detection while avoiding unnecessary testing. Such an approach requires the ability to accurate risk stratify RA patients. With only a few recognized clinical risk factors for RA-ILD, a growing body of evidence on peripheral biomarkers for RA-ILD appears well suited to support a precision medicine approach. There is a paucity of evidence to guide management after RA-ILD diagnosis. While initial trials of antifibrotics have been conducted in RA-ILD and show the potential to slow the rate of pulmonary function decline, there have been no randomized trials of immunomodulatory therapies in RA-ILD. Supporting such trials, and addressing the barriers to conducting them, is a high priority.

Conclusion: Robust characterization of peripheral biomarkers in large, RA populations is essential to inform a precision medicine approach to RA-ILD identification. Randomized trials of treatments and treatment strategies that consider the systemic nature of RA-ILD are necessary to inform evidence-based RA-ILD treatment.

Background: As the largest integrated healthcare system in the U.S., the Veterans Affairs (VA) provides a unique context for the conduct of clinical and clinical-translational research in rheumatoid arthritis (RA).

Objectives: To review attributes of the VA Rheumatoid Arthritis Registry (RA) and highlight its research contributions.

Findings: With >3,600 participants enrolled from 19 VA medical centers across the U.S., VARA includes longitudinally collected clinical data and a central biorepository that includes serum, plasma, and DNA collected at enrollment. VARA research capacity is enhanced via active linkages with internal data including the VA's Corporate Data Warehouse and elements captured during oncology care. This capacity is further enabled via active linkages with the National Death Index and Centers for Medicare & Medicaid Services (CMS) data.

Conclusion: As a highly unique study population with comprehensive data annotation available to researchers, VARA is poised to continue address impactful questions in RA for years to come.