Abstracts tagged "Statistical methods"

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: 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: 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 Ozen^3,4 and Kaleb Michaud^1,5, 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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Accepted abstracts are made available to the public online in advance of the meeting and are published in a special online supplement of Arthritis & Rheumatology. Information contained in those abstracts may not be released until the abstracts appear online. Academic institutions, private organizations and companies with products whose value may be influenced by information contained in an abstract may issue a press release to coincide with the availability of an ACR abstract on the ACR website. However, the ACR continues to require that information that goes beyond that contained in the abstract (e.g., discussion of the abstract done as part a scientific presentation or presentation of additional new information that will be available at the time of the meeting) is under embargo until Saturday, November 11, 2023.

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