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…

All abstracts accepted to ACR Convergence are under media embargo once the ACR has notified presenters of their abstract’s acceptance. They may be presented at other meetings or published as manuscripts after this time but should not be discussed in non-scholarly venues or outlets. The following embargo policies are strictly enforced by the ACR.

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Accepted abstracts are made available to the public online in advance of the meeting and are published in a special online supplement of Arthritis & Rheumatology. Information contained in those abstracts may not be released until the abstracts appear online. Academic institutions, private organizations and companies with products whose value may be influenced by information contained in an abstract may issue a press release to coincide with the availability of an ACR abstract on the ACR website. However, the ACR continues to require that information that goes beyond that contained in the abstract (e.g., discussion of the abstract done as part a scientific presentation or presentation of additional new information that will be available at the time of the meeting) is under embargo until Saturday, November 11, 2023.

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