Abstracts tagged "informatics"

Abstract Number: 1400 • ACR Convergence 2022
Machine Learning Identifies Molecular Phenotypes That Predict Incident Cardiovascular Disease in Patients with Rheumatoid Arthritis
Tate Johnson¹, Rebekah Gundry², Merry Lindsey², Punyasha Roul³, Yangyuna Yang², Joshua Baker⁴, Brian Sauer⁵, Grant Cannon⁶, Geoffrey Thiele², Ted Mikuls⁷ and Bryant England², ¹University of Nebraska Medical Center, Elkhorn, NE, ²University of Nebraska Medical Center, Omaha, NE, ³UNMC, Omaha, NE, ⁴University of Pennsylvania, Philadelphia, PA, ⁵Salt Lake City VA/University of Utah, Salt Lake City, UT, ⁶Retired, Salt Lake City, UT, ⁷Division of Rheumatology, University of Nebraska Medical Center, Omaha, NE
Background/Purpose: Cardiovascular disease (CVD) remains the leading cause of death in patients with rheumatoid arthritis (RA). General population CVD risk calculators underestimate risk in RA,…
Abstract Number: 1513 • ACR Convergence 2022
Identification of MRI Lesions Indicative of Spondyloarthritis Diagnosis from the Axial Spondyloarthritis International Society (ASAS) MRImagine Multi-Reader Scoring Dataset Using the Chi-Squared Automatic Interaction Detection Algorithm (CHAID)
Stephanie Wichuk¹, Walter P Maksymowych², Robert G Lambert¹, Abhilash Hareendranathan³ and Jacob Jaremko¹, ¹University of Alberta, Edmonton, AB, Canada, ²Department of Medicine, University of Alberta, Edmonton, AB, Canada, ³Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, Canada
Background/Purpose: Several types of active and structural lesions have been identified on sacroiliac joint MRI of spondyloarthritis (SpA) patients. Various combinations of these lesions may…
Abstract Number: 1514 • ACR Convergence 2022
Self-referral Strategy for Early Diagnosis of Axial Spondyloarthritis- Preliminary Analysis from Finding Axial Spondyloarthritis Study
Abhijeet Danve, Yale University, New Haven, CT
Background/Purpose: Lack of timely rheumatology referral for suspected axial spondyloarthritis (axSpA) is a major contributor to delayed diagnosis in patients with chronic back pain (CBP).…
Abstract Number: 1739 • ACR Convergence 2022
Single-Cell Characterization of the TCR Repertoire Across Tissue and Blood in Rheumatoid Arthritis
Garrett Dunlap¹, Aaron Wagner², Nida Meednu³, Anna Jonsson⁴, Fan Zhang⁵, Kevin Wei⁶, Paul Utz⁷, William Robinson⁷, Holden Maecker⁷, Judith James⁸, Joel Guthridge⁸, S. Louis Bridges, Jr.⁹, Laura Donlin⁹, Susan Goodman⁹, Edward DiCarlo⁹, Vivian Bykerk⁹, Christopher Ritchlin¹⁰, Darren Tabechian¹¹, James Lederer⁴, Ellen Gravallese¹², Mandy McGeachy¹³, Gary S. Firestein¹⁴, Peter Gregersen¹⁵, Diane Horowitz¹⁶, David Boyle¹⁷, Laura Geraldino-Pardilla¹⁸, Harris Perlman¹⁹, Arthur Mandelin²⁰, Joan Bathon¹⁸, Laura Hughes²¹, V. Michael Holers²², Kevin D Deane²³, Larry Moreland²², Andrew Filer²⁴, Costantino Pitzalis²⁵, Lindsy Forbess²⁶, Ami Ben-artzi²⁷, Karen Salomon-Escoto²⁸, Soumya Raychaudhuri⁴, Michael Brenner¹², Accelerating Medicines Partership (AMP) RA/SLE Network²⁹, Andrew McDavid², Jennifer Anolik³ and Deepak Rao⁴, ¹Harvard University, Boston, MA, ²University of Rochester, Rochester, NY, ³University of Rochester Medical center, Rochester, NY, ⁴Brigham and Women's Hospital, Boston, MA, ⁵University of Colorado, Aurora, CO, ⁶Brigham and Women's Hospital and Harvard Medical School, Boston, MA, ⁷Stanford University School of Medicine, Palo Alto, CA, ⁸Oklahoma Medical Research Foundation, Oklahoma City, OK, ⁹Hospital for Special Surgery, New York, NY, ¹⁰Allergy, Immunology and Rheumatology Division, University of Rochester Medical School, Canandaigua, NY, ¹¹URMC, Rochester, NY, ¹²Brigham and Women's Hospital, Harvard Medical School, Boston, MA, ¹³University of Pittsburgh, Pittsburgh, PA, ¹⁴University of California, San Diego, San Diego, CA, ¹⁵The Feinstein Inst for Med Research, Larchmont, NY, ¹⁶Northwell Health, Jericho, NY, ¹⁷UCSD, La Jolla, CA, ¹⁸Columbia University, New York, NY, ¹⁹Northwestern University, Chicago, IL, ²⁰Northwestern University Feinberg School of Medicine, Chicago, IL, ²¹University of Alabama at Birmingham, Birmingham, AL, ²²University of Colorado, Denver, CO, ²³University of Colorado Denver Anschutz Medical Campus, Denver, CO, ²⁴University of Birmingham, Birmingham, United Kingdom, ²⁵Queen Mary University of London, London, United Kingdom, ²⁶Cedars-Sinai Medical Center, Los Angeles, CA, ²⁷Ami Ben-Artzi, MD Inc., Beverly Hills, CA, ²⁸University of Massachusetts Medical School, Worcester, MA, ²⁹National Institutes of Health, Washington, DC
Background/Purpose: In rheumatoid arthritis (RA), T cells represent a large proportion of the immune population present in inflamed joint synovium, and subsets of both CD4+…
Abstract Number: 1764 • ACR Convergence 2022
Utilization of Electronic Health Record Data to Evaluate the Impact of Urban Environment on Risk of Systemic Lupus Erythematosus Symptoms
Janet Song¹, Noah Forrest¹, Kathleen Mittendorf², Wei-Qi Wei², Leah Kottyan³, Rosalind Ramsey-Goldman¹, Theresa Walunas¹ and Abel Kho¹, ¹Feinberg School of Medicine, Chicago, IL, ²Vanderbilt University Medical Center, Nashville, TN, ³Cincinnati Children's Hospital Medical Center, Cincinatti, OH
Background/Purpose: Systemic Lupus Erythematosus (SLE) has a complex and poorly understood etiology and is difficult to diagnose due to its varied presentation across many organ…
Abstract Number: 2200 • ACR Convergence 2022
Reliability of Medication Information Derived from EHR Data Compared to Insurance Claims: An Analysis of Biologic Medications in RISE and Medicare
Rahaf Baker¹, Jing Li², Rachael Stovall³, Jeffrey Curtis⁴, Fenglong Xie⁵, Jinoos Yazdany⁶ and Gabriela Schmajuk⁷, ¹Alameda Highland Internal Medicine Residency, Oakland, CA, ²University of California, San Francisco, San Francisco, CA, ³University of California San Francisco, San Francisco, CA, ⁴University of Alabama at Birmingham, Hoover, AL, ⁵University of Alabama at Birmingham, Birmingham, AL, ⁶UCSF, San Francisco, CA, ⁷UCSF / SFVA, San Francisco, CA
Background/Purpose: Health services studies increasingly rely on Electronic Health Record (EHR) data to capture medication use. However, the reliability of medication information derived from EHR…
Abstract Number: 2224 • ACR Convergence 2022
Genes Causative of Primary Immunodeficiency Are Risk Factors for and Over-expressed in Systemic Lupus Erythematosus
Haley Davis¹, Adam Labonte¹, Katherine Owen², Erika Hubbard¹, Jessica Kain¹, Brian Kegerreis¹, Prathyusha Bachali³, Amrie Grammer⁴ and Peter Lipsky¹, ¹AMPEL BioSolutions, Charlottesville, VA, ²RILITE, Crozet, VA, ³AMPEL BioSolutions, Redmond, WA, ⁴AMPEL LLC, Charlottesville, VA
Background/Purpose: Systemic lupus erythematosus (SLE) is a polygenic autoimmune disease whose specific causes are incompletely understood and for which there exists no single comprehensive diagnostic…
Abstract Number: 2233 • ACR Convergence 2022
Machine Learning Uncovers Novel mRNAs Expressed in Fibromyalgia
Lena Kolb¹, Mark Rudolph¹, Alan Kivitz², Scott Rey¹, Roberta Alexander¹, Anja Kammesheidt³ and Geoffrey Stephens¹, ¹Exagen, Inc., Vista, CA, ²Department of Rheumatology, Altoona Center for Clinical Research, Duncansville, PA, ³self, Laguna Beach, CA
Background/Purpose: Fibromyalgia is a debilitating pain condition that affects roughly 12 million people in the United States. Although preliminary diagnostic criteria have been established by…
Abstract Number: 0061 • ACR Convergence 2022
Rheumatic Diagnostic Code Trajectories for Patients with RA and SLE in a U.S. Rheumatology Registry
thomas Ituarte¹, Jing Li², Julia Kay³, Zara Izadi⁴, Jinoos Yazdany³ and Gabriela Schmajuk⁵, ¹UCSF, San Francisco, ²University of California, San Francisco, San Francisco, CA, ³UCSF, San Francisco, CA, ⁴University of California San Francisco, San Francisco, CA, ⁵UCSF / SFVA, San Francisco, CA
Background/Purpose: Diagnostic uncertainty is a common problem faced by rheumatologists. Even among patients under the care of a rheumatologist, patients may have one rheumatic illness…
Abstract Number: 0242 • ACR Convergence 2022
Neural Networks for Distinguishing Rheumatoid Arthritis from Psoriatic Arthritis by Using Magnetic Resonance Imaging
Lukas Folle¹, Sara Bayat², Arnd Kleyer³, Filippo Fagni², Lorenz Kapsner⁴, Maja Schlereth⁵, Timo Meinderink², Katharina Breininger⁵, Koray Tascilar³, Gerhard Kroenke³, Michael Uder⁶, MIchael Sticherling⁷, Sebastian Bickelhaupt⁴, Georg Schett⁸, Andreas Maier⁹, Frank Roemer¹⁰ and David Simon³, ¹Friedrich-Alexander-Universitaet Erlangen Nürnberg, Erlangen, Germany, ²University Hospital Erlangen; Department of Internal Medicine 3 - Rheumatology and Immunology, Erlangen, Germany, ³Department of Internal Medicine 3 – Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, 91054 Erlangen, Germany; Deutsches Zentrum Immuntherapie, Friedrich-Alexander-UniversityErlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany, ⁴University Hospital Erlangen; Institute of Radiology, Erlangen, Germany, ⁵Friedrich-Alexander Universität Erlangen-Nürnberg, Artificial Intelligence in Medical Imaging, Erlangen, Germany, ⁶University Hospital Erlangen; Lehrstuhl für Diagnostische Radiologie, Erlangen, Germany, ⁷University Hospital Erlangen; Institute of Dermatology, Erlangen, Germany, ⁸Universitätsklinikum Erlangen, Erlangen, Germany, ⁹Friedrich-Alexander-Universität Erlangen-Nürnberg, Lehrstuhl für Mustererkennung, Erlangen, Germany, ¹⁰Friedrich-Alexander University Erlangen Nürnberg, Erlangen, Germany
Background/Purpose: To evaluate (i) whether neural networks can distinguish seropositive rheumatoid arthritis (RA+), seronegative RA (RA-), and psoriatic arthritis (PsA) using MRI data based on…
Abstract Number: 0664 • ACR Convergence 2022
Development of a Novel Gene Expression-based Molecular Score That Characterizes Individual Lupus Patients
Prathyusha Bachali¹, Erika Hubbard², Kathryn Kingsmore Allison², Yisha He², Amrie Grammer³ and Peter Lipsky², ¹AMPEL BioSolutions, Redmond, WA, ²AMPEL BioSolutions, Charlottesville, VA, ³AMPEL LLC, Charlottesville, VA
Background/Purpose: Patients with SLE can exhibit considerable clinical heterogeneity. A robust patient stratification approach can help to characterize individual lupus patients more effectively based on…
Abstract Number: 0905 • ACR Convergence 2022
Predicting Disease Activity in Rheumatoid Arthritis Patients Using Machine Learning: Data from the ACR’s RISE Registry
Eren-Ajani Tshimanga¹, Milena Gianfrancesco², Stefanos Giampanis³, Jing Li², Emma Kersey⁴, Jinoos Yazdany⁵, Beau Norgeot⁶, Gabriela Schmajuk⁷ and Zara Izadi⁴, ¹University of California, Berkeley, Berkeley, CA, ²University of California, San Francisco, San Francisco, CA, ³Anthem, San Francisco, ⁴University of California San Francisco, San Francisco, CA, ⁵UCSF, San Francisco, CA, ⁶Anthem, Oakland, CA, ⁷UCSF / SFVA, San Francisco, CA
Background/Purpose: Predicting the trajectory of disease in individuals with RA is difficult, with numerous factors influencing whether a patient may experience higher or lower disease…
Abstract Number: 1224 • ACR Convergence 2022
‘No Route Map’: The Complex Healthcare Journeys of People with Fibromyalgia – a Record Linkage Study in the UK
Rosemary Hollick, Ka-Kin Lam, Marcus Beasley, Gareth Jones, Corri Black and Gary Macfarlane, University of Aberdeen, Aberdeen, Scotland, United Kingdom
Background/Purpose: Healthcare services for persons with fibromyalgia (FM) lack co-ordination. Patients describe feeling 'invisible' within healthcare systems and often report poor experiences of care, particularly…
Abstract Number: 0147 • ACR Convergence 2021
A Qualitative Analysis of Methotrexate Self-Injection Education Videos on YouTube: An Update
Amy Semaka, Hillary Wilson and Steven Katz, University of Alberta, Edmonton, AB, Canada
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
David Demanse¹, László B. Tankó², Patrick Lustenberger³, Philipp Nikolaus³, Ilja Rasin³, Damian F. Brennan³, Franziska Saxer², Ronenn Roubenoff⁴, Sumehra Premji¹, Philip Conaghan⁵ and Matthias Schieker⁴, ¹Novartis Pharma AG, Basel, Switzerland, ²Novartis Institutes for Biomedical Research, Basel, Switzerland, ³IBM Switzerland AG, Zürich, Switzerland, ⁴Novartis Institutes for Biomedical Research, Basel, Switzerland, Basel, Switzerland, ⁵Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, United Kingdom
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…

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