Abstracts tagged "informatics"

Abstract Number: 2692 • ACR Convergence 2024
Transcriptomic Profiling of Kidney Biopsies Implicates Th17 and IL-17 in ANCA-Associated Vasculitis
Ivana Stojkic¹, Arnon Arazi², Huijuan Song³, Pearlly Yan⁴, Estela Puchulu-Campanella³, Hubao Wang³, Lynn Fussner³, Brad Rovin³, Samir Parikh⁵, Stacy Ardoin⁶, Daniel Koboldt⁷, James Fitch⁷ and Salem Almaani⁸, ¹Nationwide, Columbus, OH, ²Feinstein Institutes for Medical Research, Melrose, MA, ³The Ohio State University, Columbus, OH, ⁴The Ohio State University, Columbus, ⁵Ohio State University, Columbus, OH, ⁶Nationwide Children's Hospital, Columbus, OH, ⁷Steve and Cindy Rasmussen Institute for Genomic Medicine, Columbus, OH, ⁸The Ohio State University Medical Center, Columbus, OH
Background/Purpose: ANCA-associated vasculitis (AAV) is a severe autoimmune disease targeting small vessels, with significant kidney involvement. Despite current therapies, up to 28% of patients progress…
Abstract Number: 0608 • ACR Convergence 2024
Systematic Analysis Demonstrates the Added Value of CB-CAPs to SLE Diagnosis in a Large Validation Cohort
Andrew Concoff¹, Touba Warsi², Sepehr Taghavi², Sudha Kumar², Abigail Patalinghug², Christine Schleif², Brittany Partain³, Joseph Ahearn⁴, Chau-Ching Liu⁵, Nicole Wilson⁵, Susan Manzi⁵ and Tyler O'Malley⁶, ¹Exagen, Inc., Los Angeles, CA, ²Exagen, Carlsbad, CA, ³Exagen, Boston, MA, ⁴Allegheny Health Network, Wexford, PA, ⁵Allegheny Health Network, Pittsburgh, PA, ⁶Exagen, Vista, CA
Background/Purpose: Cell bound complement activation products (CB-CAPs) including erythrocyte-bound C4d (EC4d) and B-lymphocyte C4d (BC4d) demonstrate increased diagnostic accuracy compared to conventional SLE markers (anti-dsDNA,…
Abstract Number: 0709 • ACR Convergence 2024
Linear Combination of Principal Components Achieves Top Performance in Identifying Rheumatologist-Diagnosed Systemic Sclerosis from Electronic Health Records
Yiming Luo, Gongbo Zhang, Chunhua Weng and Elana Bernstein, Columbia University Irving Medical Center, New York, NY
Background/Purpose: Systemic sclerosis (SSc) is a rare systemic autoimmune rheumatic disease. International Classification of Diseases (ICD) code counts (for example, using ≥ 2 ICD-10 codes…
Abstract Number: 0728 • ACR Convergence 2024
Glomerular Proteomic Signature in ANCA-associated Glomerulonephritis
Ivana Stojkic¹, Arnon Arazi², Huijuan Song³, Pearlly Yan⁴, Estela Puchulu-Campanella⁴, Hubao Wang³, Lynn Fussner³, Brad Rovin³, Samir Parikh⁵ and Salem Almaani⁶, ¹Nationwide, Columbus, OH, ²Feinstein Institutes for Medical Research, Melrose, MA, ³The Ohio State University, Columbus, OH, ⁴The Ohio State University, Columbus, ⁵Ohio State University, Columbus, OH, ⁶The Ohio State University Medical Center, Columbus, OH
Background/Purpose: Crescentic glomerulonephritis (AAGN) is a common manifestation of ANCA-associated vasculitis (AAV) but does not occur in all patients. It is unclear whether the immune…
Abstract Number: 0816 • ACR Convergence 2024
Distinct Transcript and Protein Dysregulation Patterns in Dermatomyositis and Systemic Lupus Erythematosus
James Ward¹, Mythri Ambatipudi², Zerai Manna³, Michael Smith⁴, Melissa de los Reyes⁵, Adam Schiffenbauer⁶, Saifur Rahman⁷, Kamelia Zerrouki⁵, Fredrick Miller¹, Mariana Kaplan⁸, Jian-Liang Li¹, Kerry Casey⁹, Lisa Rider¹⁰ and Sarfaraz Hasni⁶, ¹National Institute of Environmental Health Sciences, NIH, Durham, NC, ²Harvard Medical School, Boston, MA, ³NIH, Bethesda, MD, ⁴Horizon Therapeutics, Alexandria, VA, ⁵AstraZeneca, Gaithersburg, MD, ⁶NATIONAL INSTITUTES OF HEALTH, Bethesda, MD, ⁷AstraZeneca, Gaithersburg, ⁸NIAMS/NIH, Bethesda, MD, ⁹Regeneron Pharmaceuticals, Terrytown, NY, ¹⁰NIEHS, NIH, Garrett Park, MD
Background/Purpose: Systemic lupus erythematosus (SLE) and dermatomyositis (DM) are hypothesized to be triggered by shared genetic and environmental factors leading to aberrant activation of innate…
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: 2070 • ACR Convergence 2023
Augmenting Medical Education: An Evaluation of GPT-4 and ChatGPT in Answering Rheumatology Questions from the Spanish Medical Licensing Examination
Alfredo Madrid García¹, zulema Rosales², Dalifer Freites², Inés Pérez Sancristóbal³, Benjamin Fernandez³ and Luis Rodríguez Rodríguez³, ¹Fundación Investigación Biomédica Hospital Clínico San Carlos, Madrid, Spain, ²Hospital Clínico San Carlos, Madrid, Spain, ³Hospital Clinico San Carlos, Madrid, Spain
Background/Purpose: The emergence of Large Language Models (LLM) with remarkable performance such as GPT-4 and ChatGPT, has led to an unprecedented uptake in the population.…
Abstract Number: 2323 • ACR Convergence 2023
An Electronic Health Record-Based Algorithm for Predicting Systemic Lupus Erythematosus Flares: Integrating Clinical Factors and Social Determinants of Health
Yu Huang¹, Lixia Yao², zhengkang Fan³, Jingchuan Guo¹ and Jiang Bian¹, ¹University of Florida, Gainesville, FL, ²Polygon Health Analytics LLC, Chalfont, PA, ³University of Florida, Gainsville, FL
Background/Purpose: Systemic lupus erythematosus (SLE) has a relapsing-remitting course, with patients experiencing disease activity flares over time. Flares and prolonged disease activity are associated with…
Abstract Number: 2586 • ACR Convergence 2023
A Novel Blood-Based Assay Differentiates Seropositive and Seronegative Rheumatoid Arthritis from Healthy Individuals and Those with Other Inflammatory Diseases or Osteoarthritis
Peter C. Taylor¹, Jenya Antonova², Jennifer Geis³, Katharine Dilger³, David Chernoff⁴, Diana Abdueva³, Nancy Shadick⁵ and Michael Weinblatt⁶, ¹Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom, ²Compass Strategy and Research, Inc., San Francisco, CA, ³Aqtual Inc., Hayward, CA, ⁴Chernoff Consulting, Sausalito, CA, ⁵Brigham and Women's Hospital, Boston, MA, ⁶Harvard Medical School, Waban, MA
Background/Purpose: Non-invasive differentiation of seropositive and seronegative rheumatoid arthritis (RA) from other conditions has been limited in the current practice. We aimed to evaluate the…
Abstract Number: 0163 • ACR Convergence 2023
Uncovering Discrepancies: Analysis of Glucocorticoid Exposure Among Patients with Rheumatoid Arthritis in Electronic Health Record Data versus Medicare Claims
Jing Li¹, Julia Kay¹, Sharon Abada¹, Andriko Palmowski², Rachael Stovall¹, Jinoos Yazdany³ and Gabriela Schmajuk⁴, ¹University of California San Francisco, San Francisco, CA, ²Charité - Universitätsmedizin Berlin, Berlin, Germany, ³University of California, General Department of Medicine, Division of Rheumatology, San Francisco, CA, ⁴UCSF / SFVA, San Francisco, CA
Background/Purpose: Understanding glucocorticoid (GC) exposure is critical for observational analyses in rheumatology. However, obtaining an accurate measure of GC exposure, including dosage and duration, has…
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…

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