ACR Meeting Abstracts

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Abstracts tagged "Statistical methods"

  • Abstract Number: 0106 • ACR Convergence 2020

    A Machine Learning-derived Radiomics Nomogram for Diagnosis of Osteoporosis and Osteopenia

    Qianrong Xie1, Yue Chen2, Yimei Hu3, Fanwei Zeng4, Pingxi Wang4, Lin Xu5, Jianhong Wu6, Jie Li1, Jing Zhu7, Ming Xiang8 and Fanxin Zeng9, 1Department of Clinical Research Center, Dazhou Central Hospital, Dazhou, China (People's Republic), 2Department of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China (People's Republic), 3Department of Orthopedics, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China (People's Republic), 4Department of bone disease, Dazhou Central Hospital, Dazhou, China (People's Republic), 5Department of medical imaging, Dazhou Central Hospital, Dazhou, China (People's Republic), 6Department of Rheumatology, Dazhou Central Hospital, Dazhou, China (People's Republic), 7Department of Rheumatology and Immunology, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu, China (People's Republic), 8Department of Orthopedics, Sichuan Provincial Orthopedic Hospital, Chengdu, China (People's Republic), 9Department of Clinical Research Center, Dazhou Central Hospital, Dazhou, Sichuan, China (People's Republic)

    Background/Purpose: To discriminate osteoporosis and osteopenia using a quantitative computed tomography (QCT) radiomics signatures and clinical variables.Methods: This retrospective study enrolled 635 patients with QCT images and clinical characteristics from November…
  • Abstract Number: 0487 • ACR Convergence 2020

    Association Between an Extended Lifestyle Score and Adverse Health-related Outcomes in People with Rheumatoid Arthritis: A Study of 5295 UK Biobank Participants

    Jordan Canning1, Stefan Siebert2, Bhautesh Jani1, Frances Mair1 and Barbara Nicholl1, 1University of Glasgow, Glasgow, Scotland, United Kingdom, 2University of Glasgow, Glasgow, United Kingdom

    Background/Purpose: Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterised by inflammation of the synovial joints. Traditional lifestyle factors, such as smoking and poor diet,…
  • Abstract Number: 0613 • ACR Convergence 2020

    Modeling the Effects of Covid-19 Protective Behaviors and Healthcare Delivery on the Health of Patients with Rheumatic Disease

    Kevin Kennedy1, Emily Sirotich2, Salman Surangiwala3, Maggie Larche2, Mitchell Levine1 and Jonathan Hausmann4, 1McMaster University, Hamilton, Canada, 2McMaster University, Hamilton, ON, Canada, 3Queen’s School of Medicine, Kingston, Canada, 4Boston Children's Hospital / Beth Israel Deaconess Medical Center, Cambridge, MA

    Background/Purpose: COVID-19 has caused global disruptions in the management of chronic illnesses. The extent to which patients with rheumatic disease have been affected by COVID-19…
  • Abstract Number: 1009 • ACR Convergence 2020

    Missing Data and Multiple Imputation in Rheumatoid Arthritis Registries Using Sequential Random Forest Method

    Ahmed Al-Saber1, Adeeba Al-Herz2, Jiazhu Pan1, Khulood Saleh3, Adel Al-Awadhi4, Waleed Al-Kandari3, Eman Hasan5, Aqeel Ghanem6, Mohammed Hussain5, Yaser Ali7, Ebrahim Nahar7, Ahmad Alenizi8, Sawsan Hayat7, Fatemah Abutiban9, Ali Aldei5, Amjad Alkadi10, Heba Alhajeri7, Husain Behbehani3, Naser Alhadhood3, Khaled Mokaddem5, Ahmed Khadrawy3, Ammad Fazal3, Agaz Zaman7, Ghada Mazloum7, Youssef Bartella5, Sally Hamed5 and Ramia Alsouk8, 1Department of Mathematics and Statistics, University of Strathclyde, Glasgow, United Kingdom, 2Al-Amiri Hospital, Kuwait City, Kuwait, 3Farwania Hosiptal, Farwania, Kuwait, 4Faculty of Medicine, Kuwait University, Jabria, Kuwait, 5Al-Amiri Hospital, Kuwait, Kuwait, 6Mubarak Al-Kabeer Hospital, Kuwait City, Kuwait, 7Mubarak Al-Kabeer Hospital, Hawally, Kuwait, 8Jahra Hospital, Jahra, Kuwait, 9Rheumatology Unit, Department of Medicine, Jaber Alahmed Alsabah hospital, State of Kuwait, Jahra, Kuwait, 10Sabah Hospital, Kuwait, Kuwait

    Background/Purpose: Missing data in clinical epidemiological researches violate the intention to treat principle, reduce statistical power and can induce bias if they are related to…
  • Abstract Number: 1419 • ACR Convergence 2020

    Clinical Disease Might Be Divided into Two Phenotypes in ANCA Associated Vasculitis; Results of a Cluster Analysis

    Elif Ediboglu1, Onay Gercik2, Emre Bilgin3, Dilek Solmaz4, Irfan Ocal5, Arzu Saglam6, Zeki Soypacacı2, Haluk Cinaklı5, Sedat Kiraz3, Ömer Karadağ7 and Servet Akar2, 1Izmir Katip Celebi University, Izmir, Izmir, Turkey, 2Izmir Katip Celebi University, Izmir, Turkey, 3Hacettepe University, Ankara, Turkey, 4Izmir Katip Celebi University, Department of Internal Medicine, Division of Rheumatology, Izmir, TURKEY, Izmir, Turkey, 5Izmir Katip Celebi University, Izmir, 6Hacettepe University, Ankara, 7Hacettepe University, Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Ankara,, Ankara, Turkey

    Background/Purpose: One of the controversial matters in ANCA associated vasculitis is the definition of disease based on clinical characteristics since there is a remarkable overlap…
  • Abstract Number: 1470 • ACR Convergence 2020

    Machine Learning-Based Prediction of Knee Replacement in Persons with and Without Radiographic Osteoarthritis Using Clinical and Imaging Features of Osteoarthritis: The Multicenter Osteoarthritis Study

    S. Reza Jafarzadeh1, David Felson1, Michael Nevitt2, James Torner3, Cora Lewis4, Frank Roemer5, Ali Guermazi1 and Tuhina Neogi1, 1Boston University School of Medicine, Boston, MA, 2University of California, San Francisco, San Francisco, CA, 3University of Iowa, Iowa City, IA, 4University of Alabama Birmingham, Birmingham, AL, 5Boston University School of Medicine, Boston, MA, and Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany, Erlangen, Germany

    Background/Purpose: Prior studies of predictors of knee replacement (KR) have often included only a limited set of risk factors, been conducted primarily in knees with…
  • Abstract Number: 1487 • ACR Convergence 2020

    Biclustering Reveals Potential Knee Osteoarthritis Phenotypes in Exploratory Analyses: Data from the Osteoarthritis Initiative

    Amanda Nelson1, Thomas Keefe2, Todd Schwartz3, Richard Loeser1, Yvonne Golightly4, Liubov Arbeeva1 and J Marron2, 1University of North Carolina at Chapel Hill Thurston Arthritis Research Center, Chapel Hill, NC, 2University of North Carolina at Chapel Hill, Chapel Hill, NC, 3University of North Carolina at Chapel Hill Dept of Biostatistics, Chapel Hill, NC, 4University of North Carolina at Chapel Hill Dept of Epidemiology, Chapel Hill, NC

    Background/Purpose: To utilize novel methodologies to explore subgroups within the OAI clinical data.Methods: From the OAI baseline dataset (n=4796 individuals with or at risk of…
  • Abstract Number: 1734 • ACR Convergence 2020

    The Challenge of Assessing Wellbeing from the Patients` Perspective in Early Rheumatoid Arthritis

    Diederik De Cock1, Tianna Poffe2, Geert Verbeke2, Sofia Pazmino1, Veerle Stouten1, Delphine Bertrand1, Rene Westhovens3 and Patrick Verschueren4, 1KU Leuven, Leuven, Belgium, 2KU Leuven, Leuven, 3University Hospitals Leuven, Belgium, Leuven, Belgium, 4University Hospital Leuven, Leuven, Belgium

    Background/Purpose: Although more effective therapeutics and treatment strategies for Rheumatoid Arthritis (RA) have improved many patient-reported outcomes (PROs), still a sizeable number of patients in…
  • Abstract Number: 1745 • ACR Convergence 2020

    A Novel Method for Predicting 1-Year Retention of Abatacept Using Machine Learning Techniques

    Rieke Alten1, Claire Behar2, Christine Boileau2, Pierre Merckaert2, Ebenezer Afari2, Virginie Vannier-Moreau3, Sean Connolly3, Yedid Elbez2, Pierre-Antoine Juge4 and Karissa Lozenski3, 1Schlosspark-Klinik, Universitätsmedizin, Berlin, Germany, 2Excelya, Boulogne-Billancourt, France, 3Bristol-Myers Squibb Company, Princeton, NJ, 4Université de Paris, Service de Rhumatologie Hôpital Bichat-Claude Bernard, AP-HP, Paris, France

    Background/Purpose: In the ACTION (NCT02109666) study, using multivariable Cox proportional hazards regression models, patient (pt) global assessment of pain, country, reason for stopping last biologic,…
  • Abstract Number: 1763 • ACR Convergence 2020

    Blending Hierarchical Cluster Analysis and Cluster-Specific Regressions to Predict Clinical Outcome to Tofacitinib Treatment in Patients with Rheumatoid Arthritis

    Robert Landewé1, Daniel H Solomon2, Gianluca Bonfanti3, Luigi Manca3, John C Woolcott4, Jasper Deuring5, Stephen Watt6, Pritha Bhadra Brown6, Rebecca Germino6, Birol Emir6 and Roger A Edwards7, 1Amsterdam University Medical Center & Zuyderland Hospital, Amsterdam, Netherlands, 2Brigham and Women's Hospital, Boston, MA, 3Fair Dynamics Consulting, SRL, Milan, Italy, 4Pfizer Inc, Collegeville, PA, 5Pfizer Inc, Rotterdam, Netherlands, 6Pfizer Inc, New York, NY, 7Health Services Consulting Corporation, Boxborough, MA

    Background/Purpose: Patients with RA exhibit wide variations in response to therapy. Early treatment response profiles may help us to better predict subsequent treatment response, thus…
  • Abstract Number: 1957 • ACR Convergence 2020

    A Single Cell Stromal Atlas Identifies Conserved Fibroblast Phenotypes Expanded in the Inflamed Synovium, Lung, Intestine, and Salivary Gland

    Ilya Korsunsky1, Kevin Wei2, Mathilde Pohin3, Edy Kim4, Jason Turner5, Saba Nayar6, Benjamin Fisher7, Karim Raza8, Matthias Friedrich9, Jennifer Marshall5, Adam Croft5, Mark Coles10, Andreas Frei11, Andrew Filer12, Francesca Barone5, Kara Lassen11, Fiona Powrie10, Christopher Buckley13, Michael Brenner2 and Soumya Raychaudhuri14, 1Brigham and Women's Hospital, Boston, MA, 2Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 3Kennedy Institute of Rheumatology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Science, Oxford, United Kingdom, 4Brigham and Women’s Hospital, Division of Pulmonary and Critical Care Medicine, Boston, MA, 5Rheumatology Research Group, Institute for Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Queen Elizabeth Hospital, Birmingham, United Kingdom, 6Institute for Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom, 7University Hospitals Birmingham NHS Foundation Trust-Birmingham, Birmingham, United Kingdom, 8Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, United Kingdom, 9Kennedy Institute of Rheumatology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Science, University of Oxford, Oxford, United Kingdom, 10Kennedy Institute of Rheumatology, University of Oxford, Oxford, United Kingdom, 11Roche Pharma Research and Early Development, Immunology, Infectious Diseases and Ophthalmology (I2O) Discovery and Translational Area, Roche Innovation Center Basel, Basel, Switzerland, 12Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom, 13University of Birmingham, Birmingham, United Kingdom, 14Brigham and Women’s Hospital and Harvard Medical School, Boston, MA

    Background/Purpose: Pro-inflammatory fibroblasts have been independently implicated in the pathogenesis of rheumatoid arthritis (RA), inflammatory bowel disease (IBD), interstitial lung disease (ILD), and Sjogren’s syndrome…
  • Abstract Number: 2412 • 2019 ACR/ARP Annual Meeting

    Use of Minimal Important Difference (MID) in Randomized Clinical Trials of Pain in Osteoarthritis

    Lavalley Michael1, Matthew Parkes 2, Daniel White 3, Stephan Reichebach 4, Timothy McAlindon 5 and David Felson 6, 1Boston University, Boston, 2University of Manchester, Manchester, England, United Kingdom, 3University of Delaware, Newark, DE, 4University of Bern, Bern, Switzerland, 5Tufts Medical Center, Boston, MA, 6Boston University School of Medicine, Department of Rheumatology, Boston

    Background/Purpose: Minimal important differences (MID), based on within-subject evaluation of attaining  an improvement in a continuous outcome such as a pain scale, are important for…
  • Abstract Number: 2535 • 2019 ACR/ARP Annual Meeting

    Identifying Subgroups of SLE Patients with Differential Responses to a BLyS Inhibitor: Application of a Machine Learning Algorithm to Clinical Trial Data

    Mimi Kim1, Kith Pradhan 1, Peter Izmirly 2, Kenneth Kalunian 3, Leslie Hanrahan 4 and Joan Merrill 5, 1Albert Einstein College of Medicine, Bronx, NY, 2New York University School of Medicine, New York, 3University of California at San Diego, San Diego, 4Lupus Foundation of America, Washington DC, 5Oklahoma Medical Research Foundation, Oklahoma City

    Background/Purpose: Given the heterogeneity of systemic lupus erythematosus (SLE), the effect of any intervention is expected to vary. The ability to identify those most and…
  • Abstract Number: 1157 • 2018 ACR/ARHP Annual Meeting

    Acknowledged Biostatistical Help and the Quality of Statistical Analyses in Randomized Controlled Trials in Rheumatology

    Elif Dincses1, Gul Guzelant2, Gulen Hatemi2 and Hasan Yazici3, 1Istanbul University, Cerrahpasa Medical Faculty, Department of Internal Medicine, Division of Rheumatology, İstanbul, Turkey, 2Istanbul University, Cerrahpasa Medical Faculty, Department of Internal Medicine, Division of Rheumatology, Istanbul, Turkey, 3Istanbul Academic Hospital, Istanbul, Turkey

    Background/Purpose: The quality of statistical analysis reporting is wanting even in our most prestigious journals. It stands to reason that active participation of biostatisticians/epidemiologists (b/e)…
  • Abstract Number: 2051 • 2017 ACR/ARHP Annual Meeting

    The Lasso Selection Model in Rheumatology Epidemiologic Studies

    Sofia Pedro1, Bella Mehta2, Gulsen Ozen3,4 and Kaleb Michaud1,5, 1National Data Bank for Rheumatic Diseases, Wichita, KS, 2Rheumatology, Hospital of Special Surgery, New York, NY, 3Rheumatology, Marmara University, School of Medicine, Rheumatology, Istanbul, Turkey, 4Department of Rheumatology, University of Nebraska Medical Center, Omaha, NE, 5University of Nebraska Medical Center, Omaha, NE

    Background/Purpose: Selecting the best model in an epidemiologic analysis is challenging as it addresses problems like confounding and allows the estimation of unbiased results. Stepwise…
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ACR Convergence: Where Rheumatology Meets. All Virtual. November 5-9.

ACR Pediatric Rheumatology Symposium 2020

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