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Objective: The Rheumatology Informatics System for Effectiveness (RISE) is a national electronic health record (EHR)-enabled registry. RISE passively collects data from EHRs of participating practices, provides advanced quality measurement and data analytic capacities, and fulfills national quality reporting requirements. Here we report the registry's architecture and initial data, and we demonstrate how RISE is being used to improve the quality of care.Methods: RISE is a certified Centers for Medicare and Medicaid Services Qualified Clinical Data Registry, allowing collection of data without individual patient informed consent. We analyzed data between October 1, 2014 and September 30, 2015 to characterize initial practices and patients captured in RISE. We also analyzed medication use among rheumatoid arthritis (RA) patients and performance on several quality measures.Results: Across 55 sites, 312 clinicians contributed data to RISE; 72% were in group practice, 21% in solo practice, and 7% were part of a larger health system. Sites contributed data on 239,302 individuals. Among the subset with RA, 34.4% of patients were taking a biologic or targeted synthetic disease-modifying antirheumatic drug (DMARD) at their last encounter, and 66.7% were receiving a nonbiologic DMARD. Examples of quality measures include that 55.2% had a disease activity score recorded, 53.6% a functional status score, and 91.0% were taking a DMARD in the last year.Conclusion: RISE provides critical infrastructure for improving the quality of care in rheumatology and is a unique data source to generate new knowledge. Data validation and mapping are ongoing and RISE is available to the research and clinical communities to advance rheumatology. [ABSTRACT FROM AUTHOR]

Objective: To provide updated American College of Rheumatology (ACR) recommendations on rheumatoid arthritis (RA) disease activity measurements to facilitate a treat-to-target approach in routine clinical care., Methods: A working group conducted a systematic literature review from the time of the prior ACR recommendations literature search. Properties of disease activity measures were abstracted, and study quality was assessed using the Consensus-Based Standards for the selection of Health Measurement Instruments 4-point scoring method, allowing for overall level of evidence assessment. Measures that fulfilled a minimum standard were identified, and through a modified Delphi process preferred measures were selected for regular use in most clinic settings., Results: The search identified 5,199 articles, of which 110 were included in the review. This search identified 46 RA disease activity measures that contained patient, provider, laboratory, and/or imaging data. Descriptions of the measures, properties, study quality, level of evidence, and feasibility were abstracted and scored. Following a modified Delphi process, 11 measures fulfilled a minimum standard for regular use in most clinic settings, and 5 measures were recommended: the Disease Activity Score in 28 Joints with Erythrocyte Sedimentation Rate or C-Reactive Protein Level, Clinical Disease Activity Index, Simplified Disease Activity Index, Routine Assessment of Patient Index Data 3, and Patient Activity Scale-II., Conclusion: We have updated prior ACR recommendations for preferred RA disease activity measures, identifying 11 measures that met a minimum standard for regular use and 5 measures that were preferred for regular use in most clinic settings., (© 2019, American College of Rheumatology.)

In men with rheumatoid arthritis (RA), the confounding effect of adverse cardiovascular risk profile on the independent association of RA disease activity score (DAS) and major adverse cardiovascular events (MACEs) continues to be debated. The aim was to analyze the association of RA DAS with MACEs in a prospective cohort of men with RA enrolled in the VARA Registry at the Dallas site from January 2003 to October 2006. All subjects met American College of Rheumatology criteria for RA. All events were obtained by reviewing patient clinical data. DAS was categorized as low, 0 to 3.2; moderate, 3.2 to 5.09; and high, > or =5.1. Of 282 men (mean age 66 +/- 11.1 years), 231 had valid DASs (150, low; 60, moderate; and 21, high DAS) and were followed up for 4.4 +/- 2 years. Ninety-two subjects (32.6%; 95% confidence interval 27 to 38) experienced an MACE, a composite end point of death (9 patients; 10%), acute coronary syndrome (38 patients; 42%), coronary revascularization (47 patients; 49%), new-onset heart failure (37 patients; 40%), and stroke (15 patients; 16%). DAS was a significant predictor of MACEs (hazard ratio 1.31, 95% confidence interval 1.1 to 1.6, p = 0.01) independent of traditional risk factors. Compared with patients with low or moderate DASs, patients with high DASs had a lower mean event-free period (35 and 30 vs 19 years, respectively; p = 0.03). In conclusion, in a population of male US veterans aged >50 years, (1) patients with RA were at high risk of MACEs, and (2) RA DAS was a significant predictor of MACEs independent of traditional cardiovascular risk factors.