Abstracts tagged "informatics"

Abstract Number: 0391 • ACR Convergence 2024
Using Machine Learning to Predict Inactive Disease in Juvenile Idiopathic Arthritis
Mei-Sing Ong¹, Marc Natter², Laura Schanberg³ and Yukiko Kimura⁴, and CARRA Registry Investigators, ¹Harvard Medical School & Harvard Pilgrim Healthcare Institute, Boston, MA, ²Boston Children's Hospital, Boston, MA, ³Duke University Medical Center, DURHAM, NC, ⁴Hackensack Meridian School of Medicine, New York, NY
Background/Purpose: Optimizing treatment of JIA continues to be a challenge. Biologic DMARD (bDMARD) therapies have significantly improved outcomes but is costly, may be more difficult…
Abstract Number: 2621 • ACR Convergence 2024
Trends in Disease Activity in Rheumatoid Arthritis over 2009-2023 Utilizing DAS28-CRP Inferred from Electronic Health Records
David Cheng¹, Vidul Panickan², Andrew Cagan³, Gregory McDermott⁴, Mary Jeffway³, Ying Qi⁵, Feng Liu³, Michael Weinblatt⁶, Nancy Shadick⁵, Tianxi Cai⁷ and Katherine Liao³, ¹Massachusetts General Hospital, Boston, MA, ²Harvard Medical School, Boston, MA, ³Brigham and Women's Hospital, Boston, MA, ⁴Brigham and Women’s Hospital, Brookline, MA, ⁵Brigham and Women’s Hospital, Boston, MA, ⁶Brigham and Women's Hospital/ Harvard Medical School, Waban, MA, ⁷Harvard T.H. Chan School of Public Health, Boston, MA
Background/Purpose: Systematic measurement and documentation of disease activity in RA patients is key for monitoring quality of care and is an important outcome and predictor…
Abstract Number: 0456 • ACR Convergence 2024
Use of Machine Learning to Evaluate Incremental Value of Actigraphy Data for Classifying Treatment Response in Patients with Rheumatoid Arthritis
Jeffrey Curtis¹, Yujie Su², Cassie Clinton³, David Curtis⁴, Laura Stradford⁵, Patrick Zueger⁶, William Benjamin Nowell⁷, Pankaj Patel⁸, Esteban Rivera⁹, Kelly Gavigan⁴, Shilpa Venkatachalam¹⁰ and Fenglong Xie³, ¹FASTER Medicine, Hoover, AL, ²Illumination Health, Hoover, AL, ³University of Alabama at Birmingham, Birmingham, AL, ⁴Global Healthy Living Foundation, Upper Nyack, NY, ⁵Global Healthy Living Foundation, Nyack, NY, ⁶AbbVie Inc, North Chicago, IL, ⁷Regeneron, New York, NY, ⁸AbbVie Inc., North Chicago, IL, ⁹Global Healthy Living Foundation, Long Island City, NY, ¹⁰Global Healthy Living Foundation, New York, NY
Background/Purpose: Digital health technology to collect electronic patient reported outcomes (ePRO) and biosensor data are increasingly used to generate real-world data in pharmacoepidemiology. However, the…
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: 1598 • ACR Convergence 2023
Single-cell Spatial Proteomics Identifies Intraglomerular Myeloid Cells in Membranous Lupus Nephritis
Chen-Yu Lee¹, Caleb Marlin², Xiaoping Yang¹, Tayte Stephens², Alessandra Ida Celia³, Jeff Hodgin⁴, Peter Izmirly⁵, H Michael Belmont⁶, Jill Buyon⁷, Chaim Putterman⁸, Judith James², the Accelerating Medicines Partnership in RA/SLE⁹, Michelle Petri¹⁰, Joel Guthridge², Avi Rosenberg¹¹ and Andrea Fava¹, ¹Johns Hopkins University, Baltimore, MD, ²Oklahoma Medical Research Foundation, Oklahoma City, OK, ³John Hopkins University of Medicine, Rome, Italy, ⁴University of Michigan, Ann Arbor, MI, ⁵New York University School of Medicine, New York, NY, ⁶NYU School of Medicine, New York, NY, ⁷NYU Grossman School of Medicine, New York, NY, ⁸Albert Einstein College of Medicine, Bronx, NY, ⁹Multiple, Multiple, ¹⁰Department of Medicine, Division of Rheumatology, Johns Hopkins University School of Medicine, Timonium, MD, ¹¹Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD
Background/Purpose: Lupus nephritis (LN) leads to end-stage kidney disease (ESKD) in more than 20% of patients despite optimal treatment. Up to 30% of LN patients…
Abstract Number: 1696 • ACR Convergence 2023
Multi-Omic Profiling Reveals Immune Cell Priming Signature Linked to Systemic Lupus Erythematosus Prognosis
Michael A. Smith¹, Dominic Sinibaldi², Saifur Rahman¹, Chia-Chien Chiang², Anna M. Hansen¹, Jill Henault¹, Carlos P. Roca³, Shu Wang¹, Kamelia Zerrouki¹, Rebecca Filippi¹, Christopher Groves¹, Zerai Manna⁴, Jun Chu⁴, Michael Davis⁴, sarthak gupta⁴, Christopher Morehouse¹, Melissa De los Reyes¹, Rachel Ettinger¹, Roland Kolbeck¹, Mariana Kaplan⁵, Miguel A. Sanjuan¹, Richard M. Siegel⁶, sarfaraz Hasni⁴ and Kerry A. Casey¹, ¹BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, ²Data Science and AI, AstraZeneca, Gaithersburg, MD, ³Data Science and AI, AstraZeneca, Cambridge, United Kingdom, ⁴Lupus Clinical Trials Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health (NIH), Bethesda, MD, ⁵Lupus Clinical Trials Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health (NIH); Systemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health (NIH), Bethesda, MD, ⁶Office of the Clinical Director, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health (NIH), Bethesda, MD
Background/Purpose: Much of our understanding of systemic lupus erythematosus (SLE) immunopathogenesis is derived from gene profiling studies, where core pathways such as neutrophil dysregulation and…
Abstract Number: 1903 • ACR Convergence 2023
Assessing Disparities Through Missing Race and Ethnicity Data: Results from a Juvenile Arthritis Registry
Katelyn Banschbach¹, Jade Singleton², Esi Morgan² and Xing Wang³, ¹University of Washington, Seattle, WA, ²Seattle Children's Hospital, Seattle, WA, ³Biostatistics Epidemiology and Analytics in Research (BEAR), Seattle Children’s Research Institute, Seattle, WA
Background/Purpose: Research databases are missing 25-50% of race and ethnicity, typically related to Black and Hispanic data.1,2The absence of this data can lead to inaccurate…
Abstract Number: 1911 • ACR Convergence 2023
Using the Technology Acceptance Model to Assess Physician Perceptions and Experiences Using the Rheumatoid Arthritis-Patient-Reported Outcomes Dashboard: Mixed-Methods Study
Catherine Nasrallah¹, Cherish Wilson², Alicia Hamblin¹, Lindsay Jacobsohn¹, Cammie Young³, Cammie Young³, Mary Nakamura⁴, Andrew Gross¹, Judith Ashouri¹, Mehrdad Matloubian¹, Jinoos Yazdany¹ and Gabriela Schmajuk², ¹University of California San Francisco, San Francisco, CA, ²UCSF / SFVA, San Francisco, CA, ³University of California San Francisco, Oakland, CA, ⁴UCSF/SFVAHCS, San Francisco, CA
Background/Purpose: Improving shared decision-making using a treat-to-target approach, including the use of patient reported outcomes (PROs), is important to providing high quality care for rheumatoid…
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…

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