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Machine Learning Applied to Patient-Reported Outcomes to Classify Physician-Derived Measures of Rheumatoid Arthritis Disease Activity
Jeffrey R. Curtis, Yujie Su, Shawn Black, Stephen Xu, Wayne Langholff, Clifton O. Bingham, Shelly Kafka, Fenglong Xie
doi : 10.1002/acr2.11499
Patient-reported outcome (PRO) data have assumed increasing importance in the care of patients with rheumatoid arthritis (RA), yet physician-derived disease activity measures, such as Clinical Disease Activity Index (CDAI), remain the most accepted metrics to assess disease activity. The possibility that newer longitudinal PRO data might be used as a proxy for the CDAI has not been evaluated.
A Pilot Analysis of Genome-Wide DNA Methylation Patterns in Mouse Cartilage Reveals Overlapping Epigenetic Signatures of Aging and Osteoarthritis
Vladislav Izda, Christopher M. Dunn, Emmaline Prinz, Leoni Schlupp, Emily Nguyen, Cassandra Sturdy, Matlock A. Jeffries
doi : 10.1002/acr2.11506
Cartilage epigenetic changes are strongly associated with human osteoarthritis (OA). However, the influence of individual environmental OA risk factors on these epigenetic patterns has not been determined; herein we characterize cartilage DNA methylation patterns associated with aging and OA in a mouse model.
Long-Term Clinical and Radiographic Outcomes in Patients With Clinically Isolated Aortitis
Adam Mayer, Alexandra Sperry, Laarni Quimson, Rennie L. Rhee
doi : 10.1002/acr2.11504
The optimal management of patients with incidentally found clinically isolated aortitis (CIA) after aneurysm repair is unclear. This study compared long-term surgical and clinical outcomes after surgical repair of thoracic aortic aneurysm between patients with CIA and patients with noninflammatory etiologies.
Reconciling Between Medication Orders and Medication Fills for Lupus in Pregnancy
Julia F. Simard, Emily F. Liu, Eliza Chakravarty, Amadeia Rector, Miranda Cantu, Daniel Z. Kuo, Gary M. Shaw, Maurice Druzin, Michael H. Weisman, Monique M. Hedderson
doi : 10.1002/acr2.11501
Most studies consider either medications ordered or filled, but not both. Medication underuse based on filling data cannot necessarily be ascribed to patient nonadherence. Using both data sources, we quantified primary medication adherence in a cohort of prevalent systemic lupus erythematosus (SLE) pregnancies.
Beyond the visual analog scale: results from a multimodal pain assessment pilot study in first-degree relatives of patients with rheumatoid arthritis
Cairistin McDougall, Dana Wiens, Irene Smolik, Yvonne C. Lee, Hani S. El-Gabalawy, Liam J. O'Neil
doi : 10.1002/acr2.11497
Clinical Images: Dacryoadenitis in eosinophilic granulomatosis with polyangiitis mimicking immunoglobulin G4–related disease
Sho Ishigaki, Mitsuhiro Akiyama
doi : 10.1002/acr2.11508
Optimizing Medication Use in Older Adults With Rheumatic Musculoskeletal Diseases: Deprescribing as an Approach When Less May Be More
Jiha Lee, Namrata Singh, Shelly L. Gray, Una E. Makris
doi : 10.1002/acr2.11503
The world population is aging, and the rheumatology workforce must be prepared to care for medically complex older adults. We can learn from our colleagues and experts in geriatrics about how to best manage multimorbidity, polypharmacy, geriatric syndromes, and shifting priorities of older adults in the context of delivering care for rheumatic and musculoskeletal diseases (RMDs).
Perceived Impact of the COVID-19 Pandemic on Physical Activity Among Adult Patients With Rheumatologic Disease
Shruti Saxena-Beem, Teresa A. Dickson, Tessa R. Englund, Rebecca J. Cleveland, Emily M. McCormick, Andres E. Santana, Julie A. Walker, Kelli D. Allen, Saira Z. Sheikh
doi : 10.1002/acr2.11507
The objective of this cross-sectional study was to investigate the impact of the COVID-19 pandemic on physical activity (PA) levels of patients with rheumatic and musculoskeletal diseases (RMDs) and to examine factors associated with decreased PA.
A Diagnostic Prediction Model to Distinguish Multisystem Inflammatory Syndrome in Children
Matthew T. Clark, Danielle A. Rankin, Lauren S. Peetluk, Alisa Gotte, Alison Herndon, William McEachern, Andrew Smith, Daniel E. Clark, Edward Hardison, Adam J. Esbenshade, Anna Patrick, Natasha B. Halasa, James A. Connelly, Sophie E. Katz
doi : 10.1002/acr2.11509
Features of multisystem inflammatory syndrome in children (MIS-C) overlap with other syndromes, making the diagnosis difficult for clinicians. We aimed to compare clinical differences between patients with and without clinical MIS-C diagnosis and develop a diagnostic prediction model to assist clinicians in identification of patients with MIS-C within the first 24 hours of hospital presentation.
