Abstracts tagged "Statistical methods"

Abstract Number: 1404 • ACR Convergence 2024
Modeling Diversity in Systemic Lupus Erythematosus (SLE) Clinical Trials Using Real-world Data (RWD) Sources
Andrew Bevan¹ and Nora Carroll², ¹Integrated Project Solutions, PPD, part of Thermo Fisher Scientific, Cambridge, United Kingdom, ²Cardiovascular and General Medicine, Thermo Fisher Scientific, Athlone, Ireland
Background/Purpose: The FDA places emphasis on studying clinically relevant trial populations but does not address how these might be defined. SLE disproportionately affects women and…
Abstract Number: 1409 • ACR Convergence 2024
Salivary Organoids Contain More Diverse Epithelial and Less Mesenchymal Cells Than Adherent Cultures: Choose Your Sjögren’s Disease Research Tool Carefully
Ting Yang¹, Abel Soto Gamez¹, Janneke Terpstra¹, Hendrika Bootsma², Arjan Vissink¹, Frans Kroese³ and Sarah Pringle³, ¹UMCG, Groningen, Netherlands, ²Department of Rheumatology and Clinical Immunology, University of Groningen, University Medical Center Groningen, Groningen, Groningen, Netherlands, ³University Medical Center Groningen, Groningen, Netherlands
Background/Purpose: The majority of the critical pieces of work probing the involvement of the salivary gland (SG) epithelium in Sjogren’s Disease (SjD) employ salivary gland…
Abstract Number: 1728 • ACR Convergence 2024
Higher Oral Steroid Dose Is Associated with Worse Survival in Immune Checkpoint Inhibitor-Treated Rheumatoid Arthritis Patients with Metastatic Non-Small Cell Lung Cancer
Deanna Jannat-Khah¹, Jeffrey Curtis², Fenglong Xie³, Ashish Saxena⁴ and Anne Bass⁵, ¹Hospital For Special Surgery, New York, NY, ²The University of Alabama at Birmingham, Birmingham, AL, ³University of Alabama at Birmingham, Birmingham, AL, ⁴Weill Cornell Medicine, New York, NY, ⁵Hospital for Special Surgery, Weill Cornell Medicine, New York, NY
Background/Purpose: It is unknown if steroid use for RA patients could interfere with the benefits of immune checkpoint inhibitors (ICI) as cancer therapies. Additionally, it…
Abstract Number: 0479 • ACR Convergence 2024
Constructing and Using a Novel Nucleotide Transformer for Patients with Rheumatoid Arthritis
Shant Ayanian, Collin Osborne, Marc Blasi, Daniel Darveaux, Eric Klee and Elena Myasoedova, Mayo Clinic, Rochester, MN
Background/Purpose: Applying the methods of artificial intelligence (AI) to genomic data for clinical outcome prediction in rheumatoid arthritis (RA) is an area of growing research.…
Abstract Number: 0492 • ACR Convergence 2024
A Machine Learning Model for the Early Identification of Rheumatoid Arthritis: Development and Validation
Michael Dreyfuss¹, Yonatan Jenudi², Dan Riesel³, Or Ramni³, Daniel Underberger⁴, Benjamin Getz⁵, Shlomit Steinberg-Koch³, Douglas White⁶ and Elena Myasoedova⁷, ¹Predicta Med, Ramat Gan, Israel, ²[email protected], Ramat Gan, Israel, ³Predicta Med Analytics Ltd., Ramat Gan, Israel, ⁴Predicta Med Analytics Ltd., Bridgeport, CT, ⁵CTO, Ramat Gan, Israel, ⁶Gundersen Health System, Onalaska, WI, ⁷Mayo Clinic, Rochester, MN
Background/Purpose: Patients with rheumatoid arthritis often experience clinically significant delays in diagnosis (Sørensen et al., 2015; Raza et al., 2011). RA can present similarly to…
Abstract Number: 0545 • ACR Convergence 2024
Missing Data in Observational Studies: Investigating Cross-sectional Single Imputation Methods for Assessing Disease Activity in Axial Spondyloarthritis
Stylianos Georgiadis¹, Marion Pons², Simon Horskjær Rasmussen², Merete Hetland³, Louise Linde², Daniela DiGuiseppe⁴, Brigitte Michelsen⁵, Johan Karlsson Wallman⁶, Tor Olofsson⁷, Karel Pavelka⁸, Jakub Závada⁸, Bente Glintborg⁹, Anne Gitte Loft¹⁰, Catalin Codreanu¹¹, Daniel Melim¹², Diogo Esperança Almeida¹³, Tore K. Kvien¹⁴, Vappu Rantalaiho¹⁵, Ritva Peltomaa¹⁶, Bjorn Gudbjornsson¹⁷, Olafur Palsson¹⁸, Ovidiu Rotariu¹⁹, Ross MacDonald¹⁹, Ziga Rotar²⁰, Katja Perdan-Pikmajer²⁰, Karin Laas²¹, Florenzo Iannone²², Adrian Ciurea²³, Mikkel Ostergaard²⁴ and Lykke Oernbjerg¹, ¹Rigshospitalet Glostrup, Glostrup, Hovedstaden, Denmark, ²Rigshospitalet Glostrup, Glostrup, Denmark, ³Rigshospitalet Glostrup and University of Copenhagen, Glostrup, Denmark, ⁴Karolinska Institutet, Stockholm, ⁵Rigshospitalet Glostrup, Diakonhjemmet Hospital and Sørlandet Hospital, Copenhagen, Denmark, ⁶Lund University, Department of Clinical Sciences Lund, Section of Rheumatology and Skåne University Hospital, Lund, Sweden, Lund, Skane Lan, Sweden, ⁷Lund University, Department of Clinical Sciences Lund, Section of Rheumatology and Skåne University Hospital, Lund, Sweden, Lund, Sweden, ⁸Institute of Rheumatology and Charles University, Praha, Czech Republic, ⁹DANBIO, Rigshospitalet Glostrup and University of Copenhagen, Virum, Denmark, ¹⁰Aarhus University Hospital and Aarhus University, Horsens, Denmark, ¹¹University of Medicine and Pharmacy, Bucharest, Romania, ¹²Hospital Egas Moniz, Lisbon, Portugal, ¹³Hospital de Braga, Braga, Portugal, ¹⁴Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway and University of Oslo (UiO), Institute of Clinical Medicine, Oslo, Norway, Oslo, Norway, ¹⁵Tampere University Hospital, Tampere University and Kanta-Häme Central Hospital, Tampere, Finland, ¹⁶Helsinki University Hospital and University of Helsinki, Helsinki, Finland, ¹⁷Landspitali University Hospital and University of Iceland, Reykjavik, Iceland, ¹⁸University of Iceland and Skåne University Hospital, Reykjavik, Iceland, ¹⁹University of Aberdeen, Aberdeen, United Kingdom, ²⁰University Medical Centre Ljubljana and University of Ljubljana, Ljubljana, Slovenia, ²¹East-Tallinn Central Hospital, Tallinn, Estonia, ²²Rheumatology Unit- University of Bari "Aldo Moro", IT, Bari, Italy, ²³University Hospital Zurich, Zürich, Switzerland, ²⁴Department of Clinical Medicine, University of Copenhagen and Center for Rheumatology, Copenhagen Center for Arthritis Research, Glostrup, Denmark
Background/Purpose: In observational studies, several longitudinal methods have been proposed to impute missing data of an individual by using the available information of the same…
Abstract Number: 0754 • ACR Convergence 2024
Clinical Characterization of Aortitis and Periaortitis in a Cohort of 134 Patients from a Single Universitary Center. A Model-based Cluster Analysis
Carmen Secada Gómez¹, Javier Loricera², Adrián Martín-Gutiérrez³, Fernando Lopez-Gutierrez⁴, María Nuñez-Sayar⁵, Ander Ucelay-Aristi⁵, Isabel Martinez-Rodriguez⁶, ivan Ferraz-Amaro⁷, Santos Castañeda⁸ and Ricardo Blanco-Alonso⁹, ¹Rheumatology, Hospital Universitario Marqués de Valdecilla, IDIVAL, Santander, Spain, ²Hospital Universitario Marqués de Valdecilla, IDIVAL, Santander, Spain, ³Hospital Universitario Marques de Valdecilla, IDIVAL, Renedo de Piélagos, Cantabria, Spain, ⁴Rheumatology, Hospital Universitario Marqués de Valdecilla, IDIVAL, Santander, Cantabria, Spain, ⁵Cardiovascular Surgery, Hospital Universitario Marqués de Valdecilla, Santander, Cantabria, Spain, ⁶Nuclear Medicine, Hospital Universitario Marques de Valdecilla,IDIVAL, Santander, Cantabria, Spain, ⁷Rheumatology, Hospital Universitario de Canarias, Santa Cruz de Tenerife, Canarias, Spain, ⁸Hospital Universitario de la Princesa, Madrid, Spain, ⁹Division of Rheumatology, Hospital Universitario Marqués de Valdecilla. IDIVAL, Immunopathology group, Santander, Spain
Background/Purpose: Aortitis and periaortitis represent the inflammation of the aortic wall and the surrounding periaortic tissues, respectively. Both can be idiopathic or secondary to infectious…
Abstract Number: 0885 • ACR Convergence 2024
Reproducible Single Cell Annotation of Programs Underlying T-cell Subsets, Activation States, and Functions
Dylan Kotliar¹, Michelle Curtis¹, Ryan Agnew¹, Kathryn Weinand¹, Aparna Nathan², Yuriy Baglaenko¹, Yu Zhao¹, Pardis Sabeti³, Deepak Rao⁴ and Soumya Raychaudhuri¹, ¹Brigham and Women's Hospital, Boston, MA, ²Harvard Medical School, Boston, MA, ³Broad Institute, Boston, MA, ⁴Brigham and Women's Hospital, Harvard Medical School, Boston, MA

Background/Purpose: T-cells play a key role in the pathogenesis of autoimmune disease and in protection against cancer and infection. Consequently, there is widespread interest in…
Abstract Number: 1109 • ACR Convergence 2024
Differences Between Correlation and Causal Inference in Detecting Predictors of Undefined Crystal Arthropathy in Women
Laura Scagnellato¹, Antonio Collesei², Sonia farah³, Carlomaurizio Montecucco⁴, Francesca Oliviero⁵, Bernd raffeiner⁶, Marta favero⁵, Amelia Damasco⁵, doria Andrea⁵, Fausto Salaffi³ and Roberta Ramonda⁷, and SIR Study Group on Crystal Arthropaties, ¹Rheumatology Unit, University of Padova, Padova, Italy, ²IRCCS Istituto Oncologico Veneto IOV, Padova, Italy, ³Polytechnic University of Marche, Jesi (AN), Italy, ⁴IRCCS policlinico S. Matteo foundation, University of Pavia, Pavia, Italy, ⁵University of Padova, Padova, Italy, ⁶General Hospital of Bolzano, Bolzano, Italy, ⁷Rheumatology Unit, University of Padova, Italy, Padova, Italy
Background/Purpose: Crystal arthropaties, including gout and calcium pyrophosphate deposition disease (CPPD), are prevalent and burdensome conditions. The ALLSTAR model allows the identification of reliable causal,…
Abstract Number: 1191 • ACR Convergence 2024
Discordant Associations Among Chronological and Biological Age with Multi-joint Osteoarthritis and Symptom Burden: The Johnston County Health Study
Liubov Arbeeva¹, Yvonne Golightly², Cameron Kurz³, Matlock Jeffries⁴, Virginia Kraus⁵, Richard Loeser⁶, Duncan Lascelles⁷ and Amanda Nelson³, ¹University of North Carolina, Chapel Hill, Carrboro, NC, ²University of Nebraska Medical Center, Omaha, NE, ³University of North Carolina at Chapel Hill, Chapel Hill, NC, ⁴Oklahoma Medical Research Foundation, Oklahoma City, OK, ⁵Duke University, Durham, NC, ⁶University of North Carolina, Chapel Hill, NC, ⁷North Carolina State University, Raleigh, NC
Background/Purpose: Biological age (BA) may be superior to chronological age (CA) in predicting mortality and age-related conditions such as diabetes and cognitive/functional decline (PMID35715611), as…
Abstract Number: 1207 • ACR Convergence 2024
Patterns of Shared Variation in Knee Ultrasound for Osteoarthritis: A Machine Learning Approach
Sahar Sawani¹, Liubov Arbeeva², Katherine Yates³, Carolina Alvarez⁴, Todd Schwartz¹, Serena Savage-Guin⁵, Jordan Renner⁶, Catherine Bakewell⁷, Minna Kohler⁸, Janice Lin⁹, Jonathan Samuels¹⁰ and Amanda Nelson¹, ¹University of North Carolina at Chapel Hill, Chapel Hill, NC, ²University of North Carolina, Chapel Hill, Carrboro, NC, ³University of North Carolina Medical Center, Chapel Hill, NC, ⁴University of North Carolina at Chapel Hill, Miami, FL, ⁵Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill,, Chapel Hill, NC, ⁶Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, ⁷Intermountain Health Care, Salt Lake City, UT, ⁸Massachusetts General Hospital, Boston, MA, ⁹Stanford University, Palo Alto, CA, ¹⁰NYU Langone, Rye Brook, NY
Background/Purpose: The aim of this study was to utilize a machine learning (ML) approach to identify phenotypes of knee OA (KOA) based on demographic variables,…
Abstract Number: 0965 • ACR Convergence 2023
Comparing Predictors of DAPSA28, DAPSA66/68 and DAS28-CRP Remission at 6 Months in Bio-naive Patients with Psoriatic Arthritis Initiating a TNFi in Clinical Practice – Results from the EuroSpA Collaboration
Stylianos Georgiadis¹, Louise Linde², Lykke Ørnbjerg¹, Simon Horskjær Rasmussen¹, Johan Askling³, Brigitte Michelsen⁴, Daniela Di Giuseppe³, Johan Karlsson Wallman⁵, Bente Glintborg⁶, Anne Gitte Loft⁷, Miguel Bernardes⁸, Carolina Ochôa Matos⁹, Dan Nordstrom¹⁰, Laura Kuusalo¹¹, Burkhard Moeller¹², Michael Nissen¹³, Bjorn Gudbjornsson¹⁴, Thorvardur Love¹⁵, Florenzo Iannone¹⁶, Tore Kvien¹⁷, Ziga Rotar¹⁸, Isabel Castrejon¹⁹, Gary Macfarlane²⁰, Marleen van de Sande²¹, Merete Hetland¹ and Mikkel Østergaard²², ¹Copenhagen Center for Arthritis Research, Rigshospitalet, Copenhagen, Denmark, ²Rigshospitalet Glostrup, Glostrup, Denmark, ³Karolinska Institutet, Stockholm, Sweden, ⁴Rigshospitalet Glostrup; Diakonhjemmet Hospital; Sørlandet Hospital, Copenhagen, Denmark, ⁵Lund University and Skåne University Hospital, Lund, Sweden, ⁶Rigshospitalet Glostrup, University of Copenhagen, Virum, Denmark, ⁷Aarhus University, Horsens, Denmark, ⁸Rheumatology Department, Centro Hospitalar e Universitário de São João, Porto, Portugal, ⁹Centro Académico de Medicina de Lisboa, Lisbon, Portugal, ¹⁰Helsinki University Hospital, Helsinki, Finland, ¹¹Centre for Rheumatology and Clinical Immunology, University of Turku and Turku University Hospital, Turku, Finland, ¹²Inselspital - University Hospital Bern, Bern, Switzerland, ¹³Geneva University Hospitals, Geneva, Switzerland, ¹⁴Centre for Rheumatology Research, University Hospital, Reykjavik, Iceland, ¹⁵Landspitali University Hospital and the University of Iceland, Reykjavik, Iceland, ¹⁶Rheumatology Unit, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari "Aldo Moro", Bari, Italy, ¹⁷Center for Treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway, ¹⁸University Medical Centre Ljubljana, Ljubljana, Slovenia, ¹⁹Universitario Gregorio Marañón, Madrid, Spain, ²⁰Aberdeen Centre for Arthritis and Musculoskeletal Health (Epidemiology Group), University of Aberdeen, Aberdeen, United Kingdom, ²¹Amsterdam UMC, University of Amsterdam, Department of Rheumatology & Clinical Immunology and Department of Experimental Immunology, Amsterdam Infection & Immunity Institute; Amsterdam Rheumatology & Immunology Center (ARC), Academic Medical Center, Amsterdam, Netherlands, ²²Copenhagen Center for Arthritis Research, Center for Rheumatology and Spine Diseases, Centre for Head and Orthopaedics, Rigshospitalet; University of Copenhagen, Copenhagen, Denmark
Background/Purpose: The Disease Activity index for PSoriatic Arthritis based on 66/68 joints (DAPSA66/68) and the Disease Activity Score in 28 joints with C-reactive protein (DAS28-CRP)…
Abstract Number: 1164 • ACR Convergence 2023
Can We Differentiate Patients with Dysferlinopathies and Inflammatory Myopathies by Muscle Ultrasound? A Discriminant Analysis Study
Carina Soto-Fajardo¹, Sinthia Solorzano Flores¹, Abish Angeles-Acuña¹, Fabian Carranza Enriquez¹, Rosa-Elena Escobar-Cedillo², Saul Renan-Leon², Karina Arias Callejas³, Alejandra Enriquez-Luna², Graciliano Ramon-Diaz² and Carlos Pineda², ¹Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra", Mexico City, Mexico, ²Instituto Nacional de Rehabilitacion, Mexico City, Mexico, ³Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra", Mexico City, Mexico
Background/Purpose: Immune-mediated myopathies (IMM) are a heterogeneous group of diseases characterized by inflammation and muscle weakness; among their differential diagnoses are the dysferlinopathies, which are…
Abstract Number: 1253 • ACR Convergence 2023
The Novel Florida Scoring System: A Machine Learning-Based Stratification of Clinical and Laboratory Features in Children with Suspected Sjögren’s Disease
Akaluck Thatayatikom¹, Wenjie Zeng², Tyler Lovelace³, Nicole Winn⁴, Ankit Shah⁵, Thomas Schrepfer⁶, Indraneel Bhattacharyya⁷, Renato Gonik⁸, Panayiotis Benos² and Seunghee Cha⁹, ¹AdventHealth for Children, Orlando, FL, Orlando, FL, ²University of Florida College of Public Health and Health Professions and College of Medicine, Gainesville, FL, ³Department of Computational & Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, ⁴Division of Oral Medicine, Department of Oral and Maxillofacial Diagnostic Sciences, University of Florida College of Dentistry, Gainesville, FL, ⁵Department of Ophthalmology, University of Florida College of Medicine, Gainesville, FL, ⁶Division of Pediatric Otolaryngology, University of Florida College of Medicine, Gainesville, FL, ⁷Department of Oral & Maxillofacial Diagnostic Sciences, University of Florida College of Dentistry, Gainesville, FL, ⁸Division of Pediatric Neurology, University of Florida College of Medicine, Gainesville, FL, ⁹Department of Oral & Maxillofacial Diagnostic Sciences, University of Florida College of Dentistry and Center for Orphaned Autoimmune Disorders (COAD), Gainesville, FL
Background/Purpose: Childhood Sjögren 's disease (cSjD) is a poorly defined systemic autoimmune disorder. Due to the absence of diagnostic criteria, heterogeneous presentations, and the dissimilarity…
Abstract Number: 1881 • ACR Convergence 2023
Deep Learning Approaches to Rheumatoid Arthritis Severity Prognosis
Zhong-Yuan Lai¹, Aditya Varna Iyer², Isaac Zachary To¹, Ivano Lodato¹, Simran Hiranandani¹, Tommy LAM³, Ho So⁴ and Lai-Shan Tam⁵, ¹Allos AI, London, United Kingdom, ²Allos AI, University of Oxford, Oxford, United Kingdom, ³Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, Hong Kong, ⁴Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong, ⁵The Chinese University of Hong Kong, New Territories, China
Background/Purpose: Rheumatoid arthritis (RA) is the most common form of inflammatory arthritis affecting a large sector of the global population. The disease is associated with…

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