ACR Meeting Abstracts

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Abstracts tagged "informatics"

  • 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: 1271 • ACR Convergence 2022

    Uptake of Rheumatology-Specific Quality Measures Submitted to National Pay-for-Performance Programs: An Analysis of Participants in the RISE Registry

    Emma Kersey1, Jing Li2, Zara Izadi1, Julia Adler-Milstein3, Tracy Johansson4, Jinoos Yazdany5 and Gabriela Schmajuk6, 1University of California San Francisco, San Francisco, CA, 2University of California, San Francisco, San Francisco, CA, 3UCSF, San Francisco, 4American College of Rheumatology, Atlanta, GA, 5UCSF, San Francisco, CA, 6UCSF / SFVA, San Francisco, CA

    Background/Purpose: In recent years, the American College of Rheumatology has stewarded a number of rheumatology-specific quality measures for use in national pay-for-performance programs. While the…
  • Abstract Number: 1301 • ACR Convergence 2022

    Reliable Transition Policy Distribution and Transition Readiness Assessment Questionnaire Completion Using a Digital Intervention in a Pediatric Rheumatology Clinic

    Emily Smitherman1, Livie Huie1, John Bridges2, Randy Cron1, Victoria Gennaro3, Kim Jerkins1, Julie Mauldin1, Linda McAllister4, Annelle Reed3, Daniel Reiff1, Erica Reynolds3, Isabella Sanchez3, Carolyn Smith3, Matthew Stoll1, Tana Webb1, Peter Weiser1, JoAnne Zech1 and Melissa Mannion1, 1University of Alabama at Birmingham, Birmingham, AL, 2University of Alabama at Birmingham/Children's of Alabama, Birmingham, AL, 3Children's of Alabama, Birmingham, AL, 4Children's of Alabama, Trussville, AL

    Background/Purpose: The process of transition from pediatric- to adult-based care should be well-timed, coordinated, and planned to educate and encourage the adolescent towards an adult…
  • Abstract Number: 1351 • ACR Convergence 2022

    Development, Implementation, and Usability Testing of a New Rheumatoid Arthritis Patient-Reported Outcomes EHR-based Dashboard: A Mixed-Method Study

    Cammie Young1, Anna Montgomery2, Catherine Nasrallah3, Lindsay Jacobsohn4, Jennifer Barton5, Sara Murray4, Jinoos Yazdany6 and Gabriela Schmajuk7, 1University of California San Francisco, San Francisco, CA, 2University of California, San Francisco, USA; San Francisco VA Medical Center, San Francisco, USA, San Francisco, CA, 3UCSF, San Francisco, 4University of California, San Francisco, San Francisco, CA, 5VA Portland Health Care System/OHSU, Portland, OR, 6UCSF, San Francisco, CA, 7UCSF / SFVA, San Francisco, CA

    Background/Purpose: Shared decision making is a key component of a treat-to-target approach for the treatment of rheumatoid arthritis (RA). We created an EHR tool that…
  • 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: 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

    Brent Luedders1, Brendan Cope2, Matt Devries2, W. Scott Campbell2, James Campbell2, Ted Mikuls3, Jeffrey Curtis4, Daniel Hershberger3 and Bryant England3, 1University of Nebraska Medical Center, Omaha, NE, United Kingdom, 2University of Nebraska Medical Center, Omaha, 3University of Nebraska Medical Center, Omaha, NE, 4Division of Clinical Immunology and Rheumatology, Department of Medicine, Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL

    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

    Punyasha Roul1, Yangyuna Yang1, Daniel Hershberger1, Ted Mikuls1, Jorge Rojas2, Jeffrey Curtis3, Joshua Baker4, Brian Sauer5 and Bryant England1, 1University of Nebraska Medical Center, Omaha, NE, 2VA Puget Sound, Seattle, WA, 3Division of Clinical Immunology and Rheumatology, Department of Medicine, Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, 4University of Pennsylvania, Philadelphia, PA, 5University of Utah, Salt Lake City, UT

    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…
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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.

Accepted abstracts are made available to the public online in advance of the meeting and are published in a special online supplement of our scientific journal, Arthritis & Rheumatology. Information contained in those abstracts may not be released until the abstracts appear online. In an exception to the media embargo, 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 of editorial news coverage) is under media embargo until 10:00 AM ET on November 14, 2024. Journalists with access to embargoed information cannot release articles or editorial news coverage before this time. Editorial news coverage is considered original articles/videos developed by employed journalists to report facts, commentary, and subject matter expert quotes in a narrative form using a variety of sources (e.g., research, announcements, press releases, events, etc.).

Violation of this policy may result in the abstract being withdrawn from the meeting and other measures deemed appropriate. Authors are responsible for notifying colleagues, institutions, communications firms, and all other stakeholders related to the development or promotion of the abstract about this policy. If you have questions about the ACR abstract embargo policy, please contact ACR abstracts staff at [email protected].

ACR Abstract Embargo Policy

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.

Violation of this policy may result in the abstract being withdrawn from the meeting and other measures deemed appropriate. Authors are responsible for notifying financial and other sponsors about this policy. If you have questions about the abstract embargo policy, please contact the public relations department at [email protected].

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