Abstract Number: 1924 • ACR Convergence 2021
Patient Clustering Based on Multimorbidity Patterns Predicts Healthcare Utilization and Mortality in Rheumatoid Arthritis Within Independent Real-World Datasets
Background/Purpose: Rheumatoid arthritis (RA) leads to substantial healthcare utilization and premature mortality. Prior work has demonstrated that the overlapping presence of comorbid chronic conditions, termed…Abstract Number: 0147 • ACR Convergence 2021
A Qualitative Analysis of Methotrexate Self-Injection Education Videos on YouTube: An Update
Background/Purpose: Patients are turning to the Internet for guidance and information at an increasing rate, requiring clinicians to be aware of the constantly changing resources…Abstract Number: 0211 • ACR Convergence 2021
Unsupervised Machine-learning Algorithms for the Identification of Clinical Phenotypes in the Osteoarthritis Initiative Database
Background/Purpose: Osteoarthritis (OA) is a chronic disabling disease, for which there are only limited treatment options. One major challenge in the development of effective treatment…Abstract Number: 0373 • ACR Convergence 2021
Self-monitoring of Disease Activity with a Smartphone App Is Feasible in Routine Clinical Management of Patients with Axial Spondyloarthritis – a Proof of Concept Study
Background/Purpose: Assessment and monitoring of disease activity and functioning is of major importance for qualified management of patients with axial spondyloarthritis (axSpA). This includes tight…Abstract Number: 0442 • ACR Convergence 2021
Identification of Plexin D1 on Circulating Extracellular Vesicles as a Potential Biomarker of Polymyositis and Dermatomyositis
Background/Purpose: Extracellular vesicles (EVs), including exosomes and microvesicles, are small membrane vesicles released by almost all cell types and are found circulating in blood and…Abstract Number: 0561 • ACR Convergence 2021
Enhancing the Identification of Rheumatoid Arthritis-Associated Interstitial Lung Disease in Electronic Health Records Through Text Mining of Computerized Tomography Reports
Background/Purpose: Interstitial lung disease (ILD) is an extraarticular manifestation of RA that leads to increased morbidity and mortality. Algorithms incorporating multiple diagnostic and procedure codes…Abstract Number: 0566 • ACR Convergence 2021
Natural Language Processing of Electronic Health Record Notes Captures Forced Vital Capacity in Rheumatoid Arthritis-Associated Interstitial Lung Disease
Background/Purpose: Rheumatoid arthritis-interstitial lung disease (RA-ILD) has a poor long-term prognosis, including premature mortality. Longitudinal monitoring of patients in clinical and clinical trial settings includes…Abstract Number: 0676 • ACR Convergence 2021
Development, Refinement, and Validation of an Emergency Department Gout Flare Electronic Medical Record Alert
Background/Purpose: Patients with acute gout are frequently treated in emergency departments (ED) and represent a typically underserved and understudied population. A key limitation of conducting…Abstract Number: 0982 • ACR Convergence 2021
B Cells Repertoire Repartition Predicts Response to Methotrexate at 6 and 12 Months in Naïve RA: A Machine Learning Driven Approach
Background/Purpose: The adaptive immune system plays a central role in Rheumatoid Arthritis (RA) pathogenesis. Moreover, the composition of the B cell repertoire and its perturbation…Abstract Number: 0578 • ACR Convergence 2020
Going Digital Due to COVID 19 Crisis: A Rapid Reorganisation of Medication Clinics
Background/Purpose: Until the COVID 19 crisis we initiated DMARD(s) and Biologic therapies using shared medical clinics. More than 30 patients could seen per week, with…Abstract Number: 0589 • ACR Convergence 2020
The Ideal Mhealth Application for Rheumatoid Arthritis: Qualitative Findings from Stakeholder Focus Groups
Background/Purpose: Early access to specialized rheumatological care is under increasing pressure. Many countries are currently confronted with a relative shortage of practicing rheumatologists, while recent…Abstract Number: 0973 • ACR Convergence 2020
Novel Network Tool Highlights Key Features Associated with Disease Pathotypes and Response to Treatment in Early Rheumatoid Arthritis
Background/Purpose: Biomedical research uses many statistical/bioinformatics tools to find genes or proteins differentially expressed between patient group of interest. However, biological elements are related to…Abstract Number: 1302 • ACR Convergence 2020
Exploration of Machine Learning Methods in Predicting Systemic Lupus Erythematosus Hospitalizations
Background/Purpose: Systemic lupus erythematosus (SLE) is a heterogeneous disease associated with increased morbidity and mortality, and severe SLE flares can lead to hospitalizations. Our objective…Abstract Number: 1545 • ACR Convergence 2020
An Artificial Intelligence (AI) Assistant Identifying Spinal Diffuse Idiopathic Skeletal Hyperostosis on Plain X-rays: A Pilot Deep Learning Study
Background/Purpose: Diffuse idiopathic skeletal hyperostosis (DISH) is a non-inflammatory condition most classically seen in the spine, and is characterized by ossification of the spinal ligaments…Abstract Number: 1597 • ACR Convergence 2020
Use of a Clinical Dashboard Improves the Documentation of Disease Severity Scores and May Facilitate the Implementation of Treat to Target Therapy
Background/Purpose: Rheumatoid Arthritis (RA) management guidelines recommend the collection of Disease Activity Measures (DAMs) to direct therapy as a component of a “treat-to-target” (T2T) strategy. …
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