Abstracts tagged "Statistical methods"

Abstract Number: 0147 • ACR Convergence 2025
Rheumatoid Arthritis prevalence estimation in France using care pathways in the National Health Data System: opportunities and limitations – PREST study
cécile gaujoux-viala¹, adeline Ruyssen-Witrand², Laurent arnaud³, clélia Bignon-Favary⁴, Lauren Inchboard⁴ and Bruno Fautrel⁵, ¹Department of Rheumatology - CHU Nîmes, IDESP UM¹³¹⁸  INSERM – Univ. Montpellier, Nîmes, France, Nîmes, France, ²Department of Rheumatology, C.H.U. de Toulouse, CIC ¹⁴³⁶, Inserm, Université Paul Sabatier Toulouse III, Toulouse, France, Toulouse, France, ³Service de rhumatologie, Hôpitaux Universitaires de Strasbourg, INSERM UMR-S ¹¹⁰⁹, Strasbourg, France, Strasbourg, France, ⁴Horiana, Statistiques, Bordeaux, France, Bordeaux, France, ⁵Sorbonne Université - APHP, Department of Rheumatology, Hôpital Pitié-Salpêtrière, Inserm UMRS ¹¹³⁶-⁵, PARIS, France, Paris, France
Background/Purpose: A total of 98.8% of French citizens are registered in the National Health Data System (SNDS), which includes claims data of all reimbursed health-related…
Abstract Number: 0032 • ACR Convergence 2025
Protein Language Model-Guided Homology Identifies Microbial Enzymes Linked to Fibrosis-Prone IgG4-RD and Crohn’s Disease
Kumar Thurimella¹, Ahmed Mohamed², Chenhao Li³, Tommi Vatanen⁴, Daniel Graham³, Roisin Owens⁵, Sabina Leanti La Rosa⁶, Damian Plichta³, Sergio Bacallado⁵ and Ramnik Xavier⁷, ¹University of Colorado School of Medicine, Aurora, CO, ²Broad Institute, Boston, ³Broad Institute, Cambridge, MA, ⁴University of Helsinki, Helsinki, Finland, ⁵University of Cambridge, Cambridge, United Kingdom, ⁶NMBU, As, Norway, ⁷Harvard Medical School, Boston, MA
Background/Purpose: Uncharacterized microbial enzymes in metagenomics are difficult to annotate, especially in fibrosis-prone conditions like IgG4-related disease (IgG4-RD) and Crohn’s disease (CD), where microbial carbohydrate…
Abstract Number: 2627 • ACR Convergence 2025
Risk of Adverse Pregnancy Outcomes in Individuals with Rheumatic Diseases Using Prenatal Antirheumatic Drugs: a Population-Based Cohort Study
Shenthuraan Tharmarajah¹, Dharini Mahendira², Swaleh Hussain¹, Howard Berger³, Sara Guilcher⁴, Lisa McCarthy⁴ and Mina Tadrous¹, ¹University of Toronto, Toronto, ON, Canada, ²St Michael's Hospital, Toronto, Canada, ³St. Michael's Hospital, Toronto, Canada, ⁴University of Toronto, Toronto, Canada
Background/Purpose: Disease-modifying antirheumatic drugs (DMARDs) are the primary class of drug therapies generally used to treat rheumatic diseases, such as rheumatoid arthritis (RA), systemic lupus…
Abstract Number: 2560 • ACR Convergence 2025
Quality and Accuracy of TikTok Videos on Axial Spondyloarthritis: A Modified DISCERN Analysis
Mahiar Rabie and Susan Harwell, University of Tennessee- Nashville, Nashville, TN
Background/Purpose: Axial spondyloarthritis (axSpA) is a chronic inflammatory disease of the axial skeleton that can cause significant pain and disability. Its variable and often non-specific…
Abstract Number: 2333 • ACR Convergence 2025
Validation of a Corrected Axial Spondyoarthritis Metrology Index in 9 Randomized Clinical Trials
Dafne capelusnik¹, Philip Gardiner², Annelies Boonen³, Elena Nikiphorou⁴ and Sofia Ramiro⁵, ¹Tel Aviv Sourasky Medical Center, Ramat Gan, Israel, ²Altnagelvin Hospital, Londonderry, United Kingdom, ³Maastricht University Medical Centre+ & Maastricht University, Maastricht, Limburg, Netherlands, ⁴King’s College London, London, United Kingdom, ⁵Leiden University Medical Center, Bunde, Netherlands
Background/Purpose: The MOBILITY study showed that BASMI often misclassifies spinal mobility, especially in older and taller individuals. To address this, the Corrected AxSpA Metrology Index…
Abstract Number: 2319 • ACR Convergence 2025
Reducing selection bias while maintaining precision through an integrated analysis: 2-year longitudinal analysis of imaging outcomes in the SPondyloArthritis Caught Early cohort
Liese de Bruin¹, Floris A. van Gaalen¹, Manouk de Hooge², Miranda van Lunteren¹, Mary Lucy Marques³, Monique Reijnierse⁴, Roberta Ramonda⁵, Inger Jorid Berg⁶, Carl Turesson⁷, Robert Landewé⁸, Désirée Van Der Heijde¹ and Sofia Ramiro⁹, ¹Department of Rheumatology, Leiden University Medical Center, Leiden, Netherlands, ²Department of Rheumatology, Ghent University Hospital, Ghent, Belgium, ³Department of Rheumatology, Leiden University Medical Center, Leiden, Netherlands; and Coimbra Local Health Unit, Coimbra, Portugal, ⁴Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, ⁵Rheumatology Unit-DIMED-University of Padova ITALY, Padova, Padua, Italy, ⁶⁶Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Nepal, ⁷Lund University, Malmö, Sweden, ⁸Department of Rheumatology, Amsterdam University Medical Center, Amsterdam, Netherlands; and Zuyderland Medical Center, Heerlen, Netherlands, ⁹Leiden University Medical Center, Bunde, Netherlands
Background/Purpose: Imaging outcomes in ongoing cohort studies are typically evaluated across multiple reading rounds by several readers. Often, only scores from the most recent reading…
Abstract Number: 1960 • ACR Convergence 2025
Item Response Theory to Develop an Ultrasound Composite Score for Knee Osteoarthritis Assessment
Liubov Arbeeva¹, Carolina Alvarez², Jonathan Samuels³, Janice Lin⁴, Minna Kohler⁵, Catherine Bakewell⁶, Todd Schwartz⁷ and Amanda Nelson⁸, ¹University of North Carolina, Chapel Hill, Carrboro, NC, ²University of North Carolina at Chapel Hill, Miami, FL, ³NYU Langone, Rye Brook, NY, ⁴Stanford University, Palo Alto, CA, ⁵Massachusetts General Hospital, Harvard Medical School, Boston, MA, ⁶Intermountain Healthcare, Salt Lake City, UT, ⁷University of North Carolina-Chapel Hill, Chapel Hill, NC, ⁸University of North Carolina at Chapel Hill, Chapel Hill, NC
Background/Purpose: Semi-quantitative scoring systems have long been used for radiographic findings in osteoarthritis (OA), but limited work has utilized ultrasound (US). The aim of this…
Abstract Number: 1958 • ACR Convergence 2025
Longitudinal analysis on imaging outcomes: should we use the individual scores from multiple readers or rather the consensus or average of readers?
Liese de Bruin¹, Floris A. van Gaalen¹, Manouk de Hooge², Miranda van Lunteren¹, Mary Lucy Marques³, Monique Reijnierse⁴, Roberta Ramonda⁵, Inger Jorid Berg⁶, Carl Turesson⁷, Robert Landewé⁸, Désirée Van Der Heijde¹ and Sofia Ramiro⁹, ¹Department of Rheumatology, Leiden University Medical Center, Leiden, Netherlands, ²Department of Rheumatology, Ghent University Hospital, Ghent, Belgium, ³Department of Rheumatology, Leiden University Medical Center, Leiden, Netherlands; and Coimbra Local Health Unit, Coimbra, Portugal, ⁴Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, ⁵Rheumatology Unit-DIMED-University of Padova ITALY, Padova, Padua, Italy, ⁶⁶Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Nepal, ⁷Lund University, Malmö, Sweden, ⁸Department of Rheumatology, Amsterdam University Medical Center, Amsterdam, Netherlands; and Zuyderland Medical Center, Heerlen, Netherlands, ⁹Leiden University Medical Center, Bunde, Netherlands
Background/Purpose: Imaging outcomes are often evaluated using longitudinal analysis based on scores from multiple readers. However, the input into the analysis can vary from the…
Abstract Number: 1888 • ACR Convergence 2025
Developing Machine Learning Algorithm in Electronic Health Record to Accurately Identify Psoriasis Patients
Dilli Poudel¹, Leslie Crofford², Avery Fortier³, Lee Wheless⁴, Georgina Sellyn⁴, Gyaljin Sherpa⁵, Alexis Ogdie⁶ and Paras Karmacharya⁷, ¹Vanderbilt University Medical Center, Nashville, TN, ²Vanderbilt University Medical Center, Melbourne, AR, ³Vanderbilt University, Lexington, MA, ⁴Vanderbilt University, Nashville, TN, ⁵Mercy Health - St. Elizabeth Youngstown Hospital, Newyork, NY, ⁶Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Wilmington, DE, ⁷Vanderbilt University, Nashville, TN, Hermitage, TN
Background/Purpose: Accurate identification of patients with psoriasis from large electronic health record (EHR) databases is crucial for conducting robust real-world research. While EHRs offer an…
Abstract Number: 0549 • ACR Convergence 2025
High Prevalence of Obstructive Sleep Apnea in Psoriatic Arthritis: A Polysomnography-Based Cross-Sectional Study
Suzan Attar¹, Siraj Walli², Yasser Bawazir³, Mohammad Mustafa⁴, Ayah Boudal⁵, Faris alhejailli², Ahmad Bamagoos² and Omar Kanbr², ¹King Abdulaziz University, Saudi Arabia, Jeddah, Saudi Arabia, ²KAU, Jeddah, Saudi Arabia, ³King Abdulaziz University, Jeddah, Saudi Arabia, ⁴Jeddah University, Jeddah, Saudi Arabia, ⁵King Abdullah Medical Complex, Jeddah, Saudi Arabia
Background/Purpose: Background: Obstructive sleep apnea (OSA) is increasingly recognized in patients with psoriatic arthritis (PsA), yet few studies have used polysomnography (PSG)—the gold-standard diagnostic method.…
Abstract Number: 0542 • ACR Convergence 2025
Transition from Psoriasis to Psoriatic Arthritis: Does Family History Influence the Time to Onset of Arthritis in Psoriasis Patients?
Marta Flores¹, Juan de Luque², Mitndbaim Parra³, Alejandro Escudero Contreras⁴, María Dolores López-Montilla⁵ and Clementina López Medina⁶, ¹¹. Rheumatology Department, Reina Sofía University Hospital, Cordoba/IMIBIC/University of Cordoba., Spain, Spain, ²Reina Sofia University Hospital, CÓRDOBA, Andalucia, Spain, ³¹. Rheumatology Department, Reina Sofía University Hospital, Cordoba/IMIBIC/University of Cordoba., Cordoba, Spain, ⁴IMIBIC / Reina Sofia Hospital / University of Cordoba, Córdoba, Spain, ⁵Rheumatology Department, Reina Sofía University Hospital, Cordoba/IMIBIC/University of Cordoba., CORDOBA, Spain, ⁶Department of Medicine, Hospital Universitario Reina Sofia, University of Cordoba, IMIBIC, Cordoba, Spain
Background/Purpose: Psoriatic arthritis (PsA) is a debilitating disease that occurs in up to one-third of patients with psoriasis (Pso), generally manifesting after the onset of…
Abstract Number: 0532 • ACR Convergence 2025
Generative artificial intelligence provides synthetic data to discriminate patients with seronegative rheumatoid arthritis versus psoriatic arthritis sine psoriasis
Antonio Tonutti¹, Saverio D'Amico², Pierandrea Morandini², Cosimo Faeti², Elisa Barone¹, Nicoletta Luciano¹, Victor Savevski² and Carlo Selmi³, ¹Humanitas University, Pieve Emanuele, Italy, ²IRCCS Humanitas Research Hospital, Rozzano, Italy, ³Humanitas University, Milan, Italy
Background/Purpose: Distinguishing seronegative rheumatoid arthritis (RA) from psoriatic arthritis (PsA) sine psoriasis remains challenging, often relying on pathognomonic features (axial involvement, enthesitis) present in only…
Abstract Number: 0399 • ACR Convergence 2025
External Validation of Claims-based Algorithms for Newly Diagnosed Juvenile Idiopathic Arthritis
Daniel Horton¹, Lauren Parlett², Yuyang Zhu³, Sanika Rege⁴, Patricia Hoffman⁵, Daniel Reiff⁶, Sarah McGuire⁷, Sonia Pothraj⁸, Cynthia Salvant⁹, Lakshmi Moorthy¹, Cecilia Huang⁴, Dawn Koffman⁴, Matthew Iozzio³, Alicia Iizuka⁴, Kevin Schott², Stephen Crystal¹⁰, Amy Davidow¹¹, Tobias Gerhard⁴, Kevin Haynes¹², Brian Strom¹³, Daniel Beachler² and Carlos Rose¹⁴, ¹Department of Pediatrics, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, ²Carelon Research, Inc, Wilmington, DE, ³Rutgers Center for Pharmacoepidemiology and Treatment Science, Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA, New Brunswick, ⁴Rutgers Center for Pharmacoepidemiology and Treatment Science, Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA, New Brunswick, NJ, ⁵Hospital for Special Surgery, New York, NY, ⁶Boys Town National Research Hospital, Boys Town, ⁷Department of Obstetrics and Gynecology, Cooper Medical School, Camden, Camden, NJ, ⁸Washingtonville Pediatrics, Washingtonville, NY, ⁹Albany Medical Center, Albany, NY, ¹⁰Rutgers Center for Health Services Research, Institute for Health, Health Care Policy and Aging Research, New Brunswick, NJ, ¹¹New Jersey Medical School, Newark, NJ, ¹²Janssen Research & Development, Titusville, NJ, ¹³Rutgers Biomedical and Health Sciences, New Brunswick, ¹⁴Thomas Jefferson University, Wilmington, DE
Background/Purpose: Administrative claims databases enable research in large populations with JIA. We previously showed that machine learning (ML)-based algorithms accurately identify new JIA diagnoses within…
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: 0156 • ACR Convergence 2025
Heat Exposure and Acute Care Utilization among Individuals with Rheumatic Conditions: A Time Series Framework for Identifying Delayed Associations
Leah Santacroce¹, Jamie Collins¹, Ana Valle², Rebecca Summit³, Paul Dellaripa⁴ and Candace Feldman¹, ¹Brigham and Women's Hospital, Boston, MA, ²Brigham and Women's Hospital, Brookline, MA, ³Brigham & Women's Hospital, Boston, MA, ⁴Brigham and Womens Hospital, Boston, MA
Background/Purpose: Temperature and air pollution are increasing each year across the US. There is growing interest in studying how the effects of high temperature impact…

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