Abstract Number: 0106 • ACR Convergence 2020
A Machine Learning-derived Radiomics Nomogram for Diagnosis of Osteoporosis and Osteopenia
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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…
ACR Meeting Abstracts