ACR Meeting Abstracts

ACR Meeting Abstracts

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Abstracts tagged "informatics"

  • Abstract Number: 0167 • ACR Convergence 2020

    Rheumatoid Arthritis Patient Phenotypes from a Digital Health Coaching Engagement Program

    Jonathan Patterson1, Kirby Magid2, Dhiren Patel3 and Matt Allison3, 1Pack Health, Birmingham, AL, 2University of North Carolina at Charlotte, Charlotte, 3Pack Health, Birmingham

    Background/Purpose: The goal of this study was to examine whether cluster analysis could be used to identify homogeneous subgroups of engagement in RA patients enrolled…
  • Abstract Number: 0257 • ACR Convergence 2020

    Application of Text Mining Methods to Identify Lupus Nephritis from Electronic Health Records

    Milena Gianfrancesco1, Suzanne Tamang2, Gabriela Schmajuk3 and Jinoos Yazdany4, 1University of California, San Francisco, San Francisco, CA, 2Stanford Center for Population Health Sciences, Redwood City, CA, 3University of California, San Francisco, Atherton, CA, 4UCSF, San Francisco, CA

    Background/Purpose: Lupus nephritis (LN) is a frequent complication of SLE and associated with higher morbidity and mortality. Accurate estimates of the prevalence of LN in…
  • Abstract Number: 0569 • ACR Convergence 2020

    Ability and Willingness to Utilize Telemedicine Among Rheumatology Patients – a Cross Sectional Survey

    Steve Kong1, Lilian Otalora Rojas2, Amnie Ashour3, Mathew Robinson1 and Neha Bhanusali1, 1University of Central Florida College of Medicine, Orlando, 2University of Central Florida HCA Healthcare GME, Orlando, 3Stony Brook University School of Medicine, New York

    Background/Purpose: Telemedicine (TM) is the delivery of health care services using information and communication technologies. TM presents unique opportunities and benefits specifically in rheumatology as…
  • Abstract Number: 0578 • ACR Convergence 2020

    Going Digital Due to COVID 19 Crisis: A Rapid Reorganisation of Medication Clinics

    Rian Penford1, Angela Reith1, Elaine Wren1 and Kirsten Mackay1, 1Torbay and South Devon NHS Foundation Trust, Torquay, United Kingdom

    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

    Diederik De Cock1, Maryline Vandeputte2, Rani Van Melder2, Michael Doumen2, Delphine Bertrand1, Veerle Stouten1, Sofia Pazmino1, Rene Westhovens3 and Patrick Verschueren4, 1KU Leuven, Leuven, Belgium, 2KU Leuven, Leuven, 3University Hospitals Leuven, Belgium, Leuven, Belgium, 4University Hospital Leuven, Leuven, Belgium

    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

    Elisabetta Sciacca1, Anna Surace2, Myles Lewis1, Salvatore Alaimo3, Vito Latora4, Felice Rivellese1, Alfredo Pulvirenti3, Alfredo Ferro3 and Costantino Pitzalis5, 1Centre for Experimental Medicine and Rheumatology, Queen Mary University of London, London, United Kingdom, 2Centre for Experimental Medicine and Rheumatology, Queen Mary University of London, Liverpool, United Kingdom, 3Bioinformatics Unit, Dept of Clinical and Experimental Medicine, University of Catania, Catania, Sicilia, Italy, 4School of Mathematical Sciences Queen Mary, University of London, London, United Kingdom, 5Queen Mary University of London, London, United Kingdom

    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

    April Jorge1, Zhiyao Wu2, Tashrif Chowdhury2 and Yijun Zhao2, 1Massachusetts General Hospital, Boston, MA, 2Fordham University, Computer and Information Sciences Department, New York, NY

    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

    Sarah Ringsted1, Nishad Sathe1, Atul Deodhar2 and Dongseok Choi2, 1Oregon Health and Science University, Portland, OR, 2Oregon Health & Science University, Portland, OR

    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

    Taylor Nelson1, Gary Kunkel2 and Grant Cannon2, 1University of Utah, Salt Lake City, 2Salt Lake City VA Medical Center and University of Utah, Salt Lake City

    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. …
  • Abstract Number: 1745 • ACR Convergence 2020

    A Novel Method for Predicting 1-Year Retention of Abatacept Using Machine Learning Techniques

    Rieke Alten1, Claire Behar2, Christine Boileau2, Pierre Merckaert2, Ebenezer Afari2, Virginie Vannier-Moreau3, Sean Connolly3, Yedid Elbez2, Pierre-Antoine Juge4 and Karissa Lozenski3, 1Schlosspark-Klinik, Universitätsmedizin, Berlin, Germany, 2Excelya, Boulogne-Billancourt, France, 3Bristol-Myers Squibb Company, Princeton, NJ, 4Université de Paris, Service de Rhumatologie Hôpital Bichat-Claude Bernard, AP-HP, Paris, France

    Background/Purpose: In the ACTION (NCT02109666) study, using multivariable Cox proportional hazards regression models, patient (pt) global assessment of pain, country, reason for stopping last biologic,…
  • Abstract Number: 1788 • ACR Convergence 2020

    Assessment of the Impact of Interferon Levels on Cognitive Dysfunction in Patients with SLE

    Andrew Kwan1, Joan Wither2, Juan Pablo Diaz-Martinez2, Robin Green3, Dorcas Beaton4, Mahta Kakvan2, Lesley Ruttan3, Carmela Tartaglia5, Marvin Fritzler6, May Choi7, Jiandong Su2, Dennisse Bonilla2, Nicole Anderson2, Patricia Katz8 and Zahi Touma9, 1University of Toronto, Department of Medicine, Toronto, ON, Canada, 2University of Toronto Lupus Clinic, Centre for Prognosis Studies in Rheumatic Diseases, Toronto Western Hospital, University Health Network, Toronto, ON, Canada, 3Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada, 4Institute for Work & Health, Toronto, ON, Canada, 5University of Toronto, Krembil Neurosciences Centre, Toronto, ON, Canada, 6Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada, 7Brigham and Women's Hospital | Cumming School of Medicine, University of Calgary, Calgary, AB, Canada, 8University of California, San Francisco, Novato, CA, 9University of Toronto, Toronto, ON, Canada

    Background/Purpose: Cognitive impairment (CI) is among the earliest and the most prevalent manifestations of SLE. Previous studies have demonstrated that the increased levels of interferon…
  • Abstract Number: 2888 • 2019 ACR/ARP Annual Meeting

    Deriving Accurate Prednisone Dosing from Electronic Health Records: Analysis of a Natural Language Processing Tool for Complex Prescription Instructions

    Francine Castillo1, Adrienne Strait 2, Michael Evans 3, Julia Kay 4, Milena Gianfrancesco 5, Zara Izadi 6, Laura Trupin 1, Mylien Hoang 7, James Shalaby 8, Gabriela Schmajuk 9 and Jinoos Yazdany 4, 1University of California, San Francisco, San Francisco, CA, 2UCSF School of Medicine, San Francisco, CA, 3University of California San Francisco, San Francisco, 4UCSF Division of Rheumatology, San Francisco, CA, 5University of California, San Francisco, San Francisco, 6UCSF Division of Rheumatology, San Francisco, 7Touro University, San Francisco, 8Elimu Informatics, San Francisco, 9UCSF, SFVAMC Division of Rheumatology, San Francisco, CA

    Background/Purpose: Prednisone is commonly used to treat rheumatic diseases, yet few comparative effectiveness studies on different dosing regimens are available. Electronic health records (EHR) and…
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ACR Convergence: Where Rheumatology Meets. All Virtual. November 5-9.

ACR Pediatric Rheumatology Symposium 2020

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