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Abstracts tagged "Biostatistics"

  • Abstract Number: 1357 • ACR Convergence 2025

    Measuring Rheumatoid Arthritis Outcomes Using Machine Learning Imputed Disease Activity Scores

    Jue Hou1, Feiqing Huang2, Gregory McDermott3, Jun Wen4, Mary Jeffway3, Ying Qi5, Yunqing Han3, Tianrun Cai6, Florence Bourgeois4, Katherine Liao7 and Tianxi Cai2, 1University of Minnesota, Minneapolis, MN, 2Harvard T.H. Chan School of Public Health, Boston, 3Brigham and Women's Hospital, Boston, 4Harvard Medical School, Boston, 5Brigham and Women’s Hospital, Boston, 6Brigham and Women's Hospital, Boston, MA, 7Division of Rheumatology, Inflammation, and Immunity, Brigham and Women’s Hospital, Boston, MA, USA, Boston, MA

    Background/Purpose: Validated rheumatoid arthritis (RA) disease activity measures such as the Disease Activity Score-28 (DAS28) are used in clinical trials but not universally recorded in…
  • Abstract Number: 1151 • ACR Convergence 2025

    A Comparison of Patients with Cardiac Sarcoidosis vs. Other Systemic Manifestations of Sarcoidosis: A Retrospective Cohort Study

    Chelsea Guan1, Dana Nachawati1, Amir Daneshvar1, Keri Ann Pfeil1, Elleson Harper1, Lindsay Frumker2, Meghan Gump1, Vicky Nahra3 and Omer Pamuk4, 1University Hospitals Cleveland Medical Center/Case Western Reserve University, Cleveland, OH, 2University hospitals Cleveland medical center, Highland Heights, OH, 3University Hospitals Cleveland Medical Center/Case Western Reserve University, Cleveland Heights, OH, 4University Hospitals Cleveland Medical Center/ Case Western Reserve University, Cleveland, OH

    Background/Purpose: Sarcoidosis is a systemic autoimmune disease with multiorgan involvement. In this study, we analyzed the differences in characteristics in patients with sarcoid myocarditis (cardiac…
  • Abstract Number: 0566 • ACR Convergence 2025

    Predictor Risk Factors For Developing Difficult-to-Treat Psoriatic Arthritis in Patients Initiating a First bDMARD: a Binational Study

    Astrid Goudot1, Raphaël Hurtubise2, Eugénie Robin3, Laurine Cadart4, Raghav Ramachandran5, Federica Re5, Tristan Pascart6, Cécile Philippoteaux7, René-Marc Flipo7, Laura Coates8 and Jean-Guillaume Letarouilly1, 1Université de Lille, CHU Lille, Service de rhumatologie, Lille, France, Lille, Nord-Pas-de-Calais, France, 2Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK., Oxford, United Kingdom, 3CH Valenciennes, Service de rhumatologie, Valenciennes, France, Valenciennes, France, 4Service de biostatistiques, CHU Lille, Lille, France, Lille, France, 5Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, UK, Oxford, United Kingdom, 6GHICL, Hôpital Saint-Philibert, Service de rhumatologie, Lomme, France, Lomme, France, 7Université de Lille, CHU Lille, Service de rhumatologie, Lille, France, Lille, France, 8Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, England, United Kingdom

    Background/Purpose: Risk factors to identify patients who will develop a difficult-to-treat (D2T) psoriatic arthritis (PsA) are still lacking when initiating a first bDMARD. There are…
  • Abstract Number: 0415 • ACR Convergence 2025

    The Impact of Social Vulnerability Index Scores in Pediatric Uveitis

    Minal Aundhia1, Pankaj Rajdeo2, Michael Wagner1, Alexandra Duell1, Megan Quinlan-Waters3, Virginia Miraldi Utz1 and Sheila Angeles-Han4, 1Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 2Cincinnati Children's Hospital Medical Center, Cincinnati, 3Cincinnati Children's Hospital Medical Center, CCHMC, 4Cincinnati Children's Hospital, Cincinnati, OH

    Background/Purpose: Juvenile idiopathic arthritis (JIA) is the most common rheumatic disease in children with uveitis as the most common extra-articular manifestation. Uveitis can lead to…
  • Abstract Number: 2572 • ACR Convergence 2025

    Multi-Modal Machine Learning Prediction and Phenotyping of Systemic Lupus Erythematosus Using Longitudinal EHR and Genomic Data from the All of Us Program

    Hunter Sporn1, Roshni Parulekar-Martins1, Haopeng Wang1, Xinran Yu1, Jeong Yee2, Youngmin Kim3, Jing Cui4 and Karen H. Costenbader5, 1Massachusetts Institute of Technology, Boston, 2Sungkyunkwan University, Suwon, MA, South Korea, 3Brigham and Women's Hospital, Boston, MA, 4Brigham and Women's Hospital/ Harvard Medical School, Boston, 5Harvard Medical School and Brigham and Women's Hospital, Boston, MA

    Background/Purpose: Timely diagnosis and clinically meaningful stratification of systemic lupus erythematosus (SLE) remain major unmet needs. Existing risk models rely on limited genetic or lifestyle…
  • Abstract Number: 0174 • ACR Convergence 2025

    Genetic and Environmental Risk Factors and Incident Rheumatoid Arthritis

    Xuesen Zhao1, Puran Nepa2, Hui Yu3, Laura Daniel2, Vivian Kawai4, Michael Stein5, Yan Guo3 and Cecilia Chung3, 1University of Miami, Miami, FL, 2University of Miami, Research Service, Miami VA Healthcare System, Miami, FL, 3University of Miami, Miami, 4University of Alabama at Birmingham, Birmingham, AL, 5Vanderbilt University Medical Center, Nashville, TN

    Background/Purpose: While some studies have linked air pollution to risk for rheumatoid arthritis (RA), U.S.-based studies utilizing nationwide exposure data remain limited and often exclude…
  • Abstract Number: 2389 • ACR Convergence 2025

    A Comparison of Patients with Older Onset vs. Younger Onset SLE: A Retrospective Cohort Study

    Chelsea Guan1, Milad Heydari-Kamjani2, Keri Ann Pfeil1, Elleson Harper1, Lindsay Frumker3, Meghan Gump1 and Omer Pamuk2, 1University Hospitals Cleveland Medical Center/Case Western Reserve University, Cleveland, OH, 2University Hospitals Cleveland Medical Center/ Case Western Reserve University, Cleveland, OH, 3University hospitals Cleveland medical center, Highland Heights, OH

    Background/Purpose: SLE is a systemic autoimmune disease that can present at different ages and with various multiorgan complications. In this study, we aimed to analyze…
  • Abstract Number: 2354 • ACR Convergence 2025

    ChatGPT or SPSS? A comparison between AI-based and Traditional Statistical Analysis of Longitudinal Inflammatory Marker Data in Spondyloarthritis

    José Miguel Sequí-Sabater1, Pablo Beltrán Martin-Lorente2, Sonia Pastor Navarro3, Maria del Carmen Lopez Gonzalez4, Maria Sanchez-Wonenburger5, DESAMPARADOS CASADO POVEDA3 and Anna Martínez Cristóbal6, 1La Ribera University Hospital, Rheumatology Department, Gandía, Spain, 2Universidad Católica de Valencia "San Vicente Mártir", Valencia, Comunidad Valenciana, Spain, 3La Ribera University Hospital, Rheumatology Department, Valencia, Comunidad Valenciana, Spain, 4La Ribera University Hospital, Rheumatology Department, Cullera, Comunidad Valenciana, Spain, 5Hospital Universitario de La Ribera, València, Comunidad Valenciana, Spain, 6La Ribera University Hospital, Rheumatology Department, Alzira, Comunidad Valenciana, Spain

    Background/Purpose: While traditional analysis relies on statistical software such as SPSS, emerging tools like ChatGPT introduce the possibility of performing statistical tests, interpreting results, and…
  • Abstract Number: 2340 • ACR Convergence 2025

    Lighten the Load: Artificial Intelligence Reveals Body Mass Index Outranks Treatment in One-Year Psoriatic Arthritis Outcomes—Findings from the SPEED Trial

    Alexander Garaiman1, Sophia Massa1, Elnaz Saeedi2, Nicola Gullick3, William Tillett4, Raphaël Hurtubise1, jean-guillaume letarouilly5 and Laura Coates6, 1Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK., Oxford, United Kingdom, 2Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK., Oxford, 3Rheumatology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK, Coventry, United Kingdom, 4Department of Life Sciences, Centre for Therapeutic Innovation, University of Bath, Bath, United Kingdom, 5Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK, Oxford, United Kingdom, 6Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, England, United Kingdom

    Background/Purpose: Personalizing care in early psoriatic arthritis (PsA) is challenging. We set out to identify predictors of one-year response on the PASDAS using AI-based methods…
  • Abstract Number: 2241 • ACR Convergence 2025

    RADAR: A Deep Learning Pipeline for Automated Scoring of Joint Damage in Rheumatoid Arthritis Radiographs

    Hugo PENSEC1, Alain SARAUX2, florent garrigues3, yoann le duault1, sandrine jousse4, baptiste quere4, nathan foulquier5, Valerie Devauchelle6 and ikram brahim7, 1CHRU Brest, Brest, France, 2CHU Brest, Brest, France, 3CHU de BREST, Brest, Bretagne, France, 4LBAI, UMR1227, University of Brest, CHU Brest, Brest, France, Brest, France, 5LBAI, UMR1227, Univ Brest, Inserm, Brest, France, Brest, France, 6UBO, Brest, France, 7CHRU, LBAI, UMR1227, Univ Brest, Inserm, LaTIM, UMR 1101, Brest, France, Brest, France

    Background/Purpose: Rheumatoid arthritis (RA) is a persistent inflammatory disorder inducing joint space narrowing and erosion at both hands and feet. Reading of X-ray images remains…
  • Abstract Number: 1917 • ACR Convergence 2025

    Characterizing the Frequency and Timing of Changes in Patient-Reported Social Risk Factors among Rheumatology Outpatients

    Daphne Lew1, Lauren Seidler2, Patrice Odom3, Amy McQueen3, Jessica Williams4, Seth Eisen5 and Alfred Kim4, 1Washington University in St. Louis School of Medicine, Saint Louis, MO, 2Washington University School of Medicine, Saint Louis, 3Washington University School of Medicine, Saint Louis, MO, 4Washington University School of Medicine, St. Louis, MO, 5Washington University School of Medicine, St Louis, MO

    Background/Purpose: Social risk factors (SRFs) are associated with health outcomes, and patients with chronic conditions often report disproportionately higher rates of SRFs, complicating their disease…
  • Abstract Number: 1908 • ACR Convergence 2025

    Clinical and Imaging Features of Haemochromatosis Arthropathy – a Systematic Literature Review and Meta- Analysis

    Svenja Engelhardt1, Sabine Buroh2, Guido Schwarzer3, Andreas Kerschbaumer4, Axel Braner5, Mathilde Herber6, Pedro Machado7, Patrick Kiely8 and Stephanie Finzel9, 1University of Freiburg, Freiburg im Breisgau, Germany, 2Library of the Medical Center - University of Freiburg, Faculty of Medicine, Library of the Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, Freiburg, Germany, 3University of Freiburg, Freiburg, Germany, Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany, Freiburg, Germany, Freiburg, Germany, 4Stanford University / Medical University of Vienna, Stanford, CA, 5MVZ Aschaffenburg, Aschaffenburg, Germany, Frankfurt, Germany, 6Strasbourg Centre University, Strasbourg, France, Department of Internal Medicine, Strasbourg, France, Strasbourg, France, 7Department of Rheumatology, University College London, and Department of Rheumatology, Northwick Park Hospital, London North West University Healthcare NHS Trust, Centre for Rheumatology & Department of Neuromuscular Diseases, University College London, London, United Kingdom, 8St George's University Hospitals NHS Foundation Trust, London, United Kingdom, 9Department of Rheumatology and Clinical Immunology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

    Background/Purpose: Haemochromatosis arthropathy (HA) has been little researched to date. Arthropathy frequently is amongst thefirst clinical manifestations of haemochromatosis, but might be overlooked or misdiagnosed…
  • Abstract Number: 1647 • ACR Convergence 2025

    Clinical Phenotypes of Participants with Radiographic Osteoarthritis Attaining Patient Acceptable Symptom State in the Multicenter Osteoarthritis Study

    Sarah Tilley1, Michael LaValley2, Brooke McGinley3, Cora Lewis4, James Torner5, David Felson3 and Tuhina Neogi6, 1Boston University School of Medicine, Somerville, MA, 2Boston University School of Public Health, Arlington, MA, 3Boston University, Boston, MA, 4The University of Alabama at Birmingham, Birmingham, AL, 5University of Iowa, Iowa City, IA, 6Boston University School of Medicine, Boston, MA

    Background/Purpose: Osteoarthritis (OA) is a leading cause of pain and disability in older adults marked by progressive joint degeneration. Symptom trajectories vary: some experience persistent…
  • Abstract Number: 1643 • ACR Convergence 2025

    Optimizing Analyses of Chair Stand Test Outcome Data in the Multicenter Osteoarthritis Study: Exploration of Approaches to Handling Missing and/or Skewed Data with Performance-based Function Measures

    Michael LaValley1, Vanessa Vu2, Maggie Westerland2, Yuqing Li2, Cora Lewis3, Laura Frey Law4, David Felson2 and Tuhina Neogi5, 1Boston University School of Public Health, Arlington, MA, 2Boston University, Boston, MA, 3The University of Alabama at Birmingham, Birmingham, AL, 4Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA, 5Boston University School of Medicine, Boston, MA

    Background/Purpose: Maintaining physical function is crucially important in aging. Lower body function is often measured with the chair stand test (CST), also known as the…
  • Abstract Number: 1573 • ACR Convergence 2025

    Health-related quality of life over 15 years in systemic sclerosis: impact of sex and survival

    Katherine van der Wouden1, Georgy Gomon2, Rachel Knevel2, Michel Tsang-A-Sjoe3, Alexandre Voskuijl3 and Jeska de Vries-Bouwstra2, 1Leiden University Medical Center and Amsterdam University Medical Center, Leiden, Zuid-Holland, Netherlands, 2Leiden University Medical Center, Leiden, Netherlands, 3Amsterdam University Medical Center, Amsterdam, Netherlands

    Background/Purpose: Patients with systemic sclerosis (SSc) face an uncertain long‑term outlook; understanding how their health‑related quality of life (HRQoL) changes over time can help them…
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Embargo Policy

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].

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