Abstracts tagged "informatics"

Abstract Number: 0901 • ACR Convergence 2024
Intergenic Alu Elements Are Uniquely Expressed in Dermatomyositis and Correlate with Interferon Stimulated Genes
Rayan Najjar¹, Andrew Mammen² and Tomas Mustelin¹, ¹University of Washington, Seattle, WA, ²NIH, Bethesda, MD
Background/Purpose: As genes constitute < 2% of our genomes, there is a need to explore potential roles of other genomic elements in autoimmune disease. We…
Abstract Number: 1063 • ACR Convergence 2024
AI –Driven Precision in Rheumatologic Emergencies: Unveiling the Capability of Top Healthcare Chatbots
Abi Fadairo-Azinge¹, Jinoos Yazdany² and Matt Sakumoto³, ¹University of California San Francisco UCSF, SAN-FRANCISCO, CA, ²University of California San Francisco, San Francisco, CA, ³Sutter Health Virtual-First Primary Care Physician & CMIO Sutter West Bay Region Sutter Health,Assistant Clinical Professor,Department of Medicine, UCSF, SAN-FRANCISCO, CA
Background/Purpose: Rheumatologic emergencies are severe, with mortality rates up to 50% even with timely intervention. Associated morbidity includes permanent organ failure and significant disability. This…
Abstract Number: 1076 • ACR Convergence 2024
Assessing the Reliability of ChatGPT on Recombinant Zoster Vaccination for Patients with Rheumatic and Musculoskeletal Diseases
Akhil Sood, Pegah Jahangiri, Amanda Moyer and Janice Lin, Stanford University, Palo Alto, CA
Background/Purpose: As artificial intelligence (AI) platforms continue to evolve, large language models (LLMs) such as ChatGPT by OpenAI are increasingly being utilized by patients and…
Abstract Number: 1932 • ACR Convergence 2024
Effects of Clinical Decision Support on Transition Readiness Assessment in Pediatric Rheumatology
Chrisana Pokorny¹ and Bethany Marston², ¹University of Rochester, Webster, NY, ²University of Rochester, Rochester, NY
Background/Purpose: Pediatric to adult transition is often challenging among young adults with rheumatic diseases. Structured transition programs can improve adherence to care, quality of life,…
Abstract Number: 1944 • ACR Convergence 2024
Enhancing Rheumatology Consultations with AI-Powered Triage: The ReumAI Pilot Study
Antonio Gomez-Centeno¹, Mariña Sabaris-Vilas², Javier Segura-Sanchez³ and Fermin Garcia-Sancho³, ¹Hospital Quiron Barcelona, Barcelona, Spain, ²Hospital Quirón Barcelona, Barcelona, Spain, ³TamoeInnovation S.L., Madrid, Spain
Background/Purpose: In private healthcare settings, patients often have direct access to specialists without prior referral. However, in rheumatology, this can lead to inefficiencies due to…
Abstract Number: 2151 • ACR Convergence 2024
Rheumatology on Reddit: A Descriptive Analysis
Alfredo Madrid García¹, Beatriz Merino Barbancho², Inés Pérez - Sancristóbal³, Dalifer Freites Nuñez⁴, Luis Rodriguez Rodriguez⁵, lydia Abasolo Alcazar⁶, Leticia Leon⁷ and Benjamin fernandez-Gutierrez⁷, ¹Fundación para la Investigación Biomédica del Hospital Clínico San Carlos (IDISCC), Madrid, Madrid, Spain, ²Life supporting technologies. Escuela Técnica Superior de Ingenieros de Telecomunicación. Universidad Politécnica de Madrid., Madrid, Spain, ³Department of Rheumatology, Hospital Clinico San Carlos,, Madrid, Madrid, Spain, ⁴Hospital Clínico San Carlos. Madrid. Spain., Madrid, Spain, ⁵Hospital Clinico San Carlos, Madrid, Madrid, Spain, ⁶IdISSC. HCSC, Madrid, Spain, ⁷Hospital Clinico San Carlos, Madrid, Spain
Background/Purpose: Over the past decade, social media data have gained special interest across various sectors, specially in medicine where these data are being utilized for…
Abstract Number: 0001 • ACR Convergence 2024
Type I Interferon and Anifrolumab Effects on Bone Marrow and Blood Plasma Cells in Systemic Lupus Erythematosus
Diana Alzamareh¹, Nida Pellett², Daria Krenitsky², Wesley Durrett¹, Javier Rangel-Moreno¹, Jennifer Anolik² and Jennifer Barnas¹, ¹University of Rochester, Rochester, NY, ²University of Rochester Medical Center, Rochester, NY
Background/Purpose: Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by the production of pathogenic anti-nuclear antibodies (ANA) by plasma cells (PC). Importantly, long-lived plasma…
Abstract Number: 2183 • ACR Convergence 2024
Accuracy of AI Tools for Diagnosis of Connective Tissue Disease
Indira Sriram¹, Gabriel Tarshish² and Megan Curran², ¹University of Colorado, Aurora, CO, ²Children's Hospital Colorado, Aurora, CO
Background/Purpose: In this work, we study the ability of generative artificial intelligence (AI) based tools to diagnose pediatric rheumatological diseases. Specifically, we seek to answer…
Abstract Number: 0175 • ACR Convergence 2023
Predicting Cost-Related Medication Non-Adherence in US Adults with Chronic Arthritis: A Machine Learning Approach
Ashkan Ara¹, Matthew Chenoweth¹ and Christopher Scannell², ¹University of California Los Angeles, Los Angeles, CA, ²UCLA / West Los Angeles VA Medical Center, Los Angeles, CA
Background/Purpose: Cost-related medication non-adherence (CRN) occurs when patients are unable to follow their prescribed medication regimen due to financial constraints, such as high costs or…
Abstract Number: 0341 • ACR Convergence 2023
Patient Perspectives on the Usability of a Rheumatoid Arthritis Patient-reported Outcomes Electronic Health Record-based Dashboard: A Mixed-Methods Study
Cherish Wilson¹, Catherine Nasrallah², Alicia Hamblin², Lindsay Jacobsohn², Cammie Young³, Cammie Young³, Mary Nakamura⁴, Andrew Gross², Judith Ashouri², Brett Dietz², Mehrdad Matloubian², Jinoos Yazdany⁵ and Gabriela Schmajuk¹, ¹UCSF / SFVA, San Francisco, CA, ²University of California San Francisco, San Francisco, CA, ³University of California San Francisco, Oakland, CA, ⁴UCSF/SFVAHCS, San Francisco, CA, ⁵University of California, General Department of Medicine, Division of Rheumatology, San Francisco, CA
Background/Purpose: Shared decision making, health literacy, and effective communication around patient-reported outcomes (PROs) are vital components to a treat-to-target approach in rheumatoid arthritis (RA) patients.…
Abstract Number: 0353 • ACR Convergence 2023
Validation of Claims-based Algorithms for Newly Diagnosed Juvenile Idiopathic Arthritis Using Machine Learning Methods
Patricia Hoffman¹, Lauren Parlett², Daniel Beachler², Daniel Reiff³, Sarah McGuire¹, Sonia Pothraj¹, Lakshmi Moorthy¹, Cynthia Salvant⁴, Dawn Koffman⁵, Sanika Rege⁵, Cecilia Huang⁵, Matthew Iozzio⁵, Kevin Schott², Kevin Haynes⁶, Amy Davidow⁷, Stephen Crystal⁸, Tobias Gerhard⁵, Brian Strom⁹, Carlos Rose¹⁰ and Daniel Horton⁴, ¹Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, ²Carelon, Wilmington, DE, ³University of Alabama at Birmingham, Birmingham, AL, ⁴Department of Pediatrics, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, ⁵Rutgers Center for Pharmacoepidemiology and Treatment Science, New Brunswick, NJ, ⁶Janssen Pharmaceuticals, Raritan, NJ, ⁷New York University, New York, NY, ⁸Rutgers University, New Brunswick, NJ, ⁹Rutgers, State University of New Jersey, New Brunswick, NJ, ¹⁰Thomas Jefferson University, Philadelphia, PA
Background/Purpose: Administrative claims databases represent important settings for studying large populations with juvenile idiopathic arthritis (JIA), but prior efforts to validate diagnostic algorithms for JIA…
Abstract Number: 0807 • ACR Convergence 2023
Inferring Disease Activity Scores and Low Disease Activity at Registry Visits Based on Structured and Narrative Data from Electronic Health Records
David Cheng¹, Dana Weisenfeld², Kumar Dahal², Qing Liu², Vidul Ayakulangara Panickan³, Mary Jeffway², Thany Seyok², Gregory McDermott², Michael Weinblatt⁴, Nancy Shadick⁵, Tianxi Cai⁶ and Katherine Liao², ¹Massachusetts General Hospital, Boston, MA, ²Brigham and Women's Hospital, Boston, MA, ³Harvard Medical School, Boston, MA, ⁴Harvard Medical School, Waban, MA, ⁵Brigham and Women's Hospital, Boston, MA, ⁶Harvard T.H. Chan School of Public Health, Boston, MA
Background/Purpose: Real-world data including electronic health records (EHRs) are a promising resource for learning to optimize treatment strategies for rheumatoid arthritis (RA). A major challenge…
Abstract Number: 0822 • ACR Convergence 2023
From Biomarkers to Endotypes: Data-driven Identification of Knee Osteoarthritis Patients Subtypes
Monica Hannani¹, Zofia Lisowska-Petersen², Morten Karsdal², Cecilie Bager², Anne-Christine Bay-Jensen² and Christian Thudium², ¹University of Copenhagen, Herlev, Denmark, ²Nordic Bioscience, Herlev, Denmark
Background/Purpose: Osteoarthritis (OA) is a diverse and multifaceted condition. Despite its widespread incidence, the core mechanisms of the disease remain elusive, and therapeutic interventions are…
Abstract Number: 0852 • ACR Convergence 2023
Screening for Specific Antinuclear Antibodies Using an Artificial Intelligence-enabled Antinuclear Antibody HEp-2 Substrate by Indirect Immunofluorescence Assay
Patrick Vanderboom, Surendra Dasari, Anne Tebo, Melissa Snyder and Ali Duarte-Garcia, Mayo Clinic, Rochester, MN
Background/Purpose: Antinuclear antibodies (ANA) are key biomarkers in the diagnostic evaluation of systemic autoimmune diseases and are widely used in clinical practice. The most accepted…
Abstract Number: 0919 • ACR Convergence 2023
Investigating the Role of Interferon in Promoting Flares of SLE at a Single Cell Level
Zoha Faheem¹, Giselle Boukhaled², Kieran Manion¹, Carolina Munoz-Grajales³, Carol Nassar¹, Michael Kim¹, Dafna Gladman⁴, Murray Urowitz⁵, Zahi Touma⁶, David Brooks² and Joan Wither⁷, ¹Schroeder Arthritis Institute, Krembil Research Institute, Toronto, ON, Canada, ²Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada, ³UHN/TWH, Toronto, ON, Canada, ⁴Schroeder Arthritis Institute, Krembil Research Institute, Toronto Western Hospital, Department of Medicine, University of Toronto, Toronto, ON, Canada, ⁵Schroeder Arthritis Institute, Krembil Research Institute; University of Toronto Lupus Clinic; Division of Rheumatology, Toronto, ON, Canada, ⁶University of Toronto, Toronto, ON, Canada, ⁷University Health Network, Toronto, ON, Canada
Background/Purpose: Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease with unpredictable flares interspersed with prolonged periods of disease quiescence. Interferon (IFN) is a hallmark…

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 CT on October 25. 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].