Abstract Number: 821 • 2019 ACR/ARP Annual Meeting
Trends in Incidence and Prevalence of Osteoarthritis in the United Kingdom: Findings from the Clinical Practice Research Datalink (CPRD)
Background/Purpose: Osteoarthritis (OA) is by far the most common arthritis.(1) However, its chronological trend in the United Kingdom (UK) is not known. We aimed to…Abstract Number: 1113 • 2019 ACR/ARP Annual Meeting
Improving Healthcare Quality and Reducing Cost via Online Interaction for Chinese Patients with Rheumatic Diseases Based on Smart System of Disease Management (SSDM) Mobile Tool
Background/Purpose: Without efficient primary medical care and follow-up system in China, patients can choose any hospital or doctor they like in seeking medical care. As…Abstract Number: 1208 • 2019 ACR/ARP Annual Meeting
Outpatient Readmission in Rheumatology: A Machine Learning Predictive Model of Patient’s Return to the Clinic
Background/Purpose: Readmissions can be defined as the return of a patient to a healthcare setting after a discharge. Attention has been mainly focused on readmissions…Abstract Number: 1370 • 2019 ACR/ARP Annual Meeting
Not All Joints Are Equal: Challenge DAS28 System and Identify Factors Leading to a Mismatch Between T2T and HAQ Among RA Patients Through Data Mining from Smart System of Disease Management (SSDM)
Background/Purpose: Treat to target (T2T), achieving a DAS28 score lower than 3.2, is the strategy recommended by ACR and EULAR. Health assessment questionnaire (HAQ) is…Abstract Number: 1371 • 2019 ACR/ARP Annual Meeting
Create an Algorithm of Outcome Forecasting and Decision Making for RA Treatment: Data Mining and Machine Learning via the Smart System of Disease Management (SSDM)
Background/Purpose: Daily health care deals with a wide spectrum of RA patients from statuses of remission (R) to disease activities at low (L), moderate (M)…Abstract Number: 2060 • 2019 ACR/ARP Annual Meeting
The Current State of Big Data Use and Artificial Intelligence in RMDs: A Systematic Literature Review Informing EULAR Recommendations
Background/Purpose: Big data are defined as data sets that are too large or complex for traditional data-processing application software to adequately deal with. Artificial Intelligence…Abstract Number: 2071 • 2019 ACR/ARP Annual Meeting
The Prevalence of 78 Autoimmune Diseases in Catalonia (MASCAT-PADRIS Big Data Project)
Background/Purpose: To analyze the prevalence of autoimmune diseases (ADs) in Catalonia, a Mediterranean region with nearly 8 million inhabitants using a public administrative big data…Abstract Number: 1252 • 2018 ACR/ARHP Annual Meeting
Screening for Tuberculosis before Initiating TNF Inhibitors: How Well Do We Do? a Nationwide Experience
Background/Purpose: Tumor necrosis factor inhibitors (TNFi) revolutionized treatment of various conditions, however they drastically increase the risk of latent tuberculosis (LTBI) reactivation. Many national medical…Abstract Number: 1686 • 2018 ACR/ARHP Annual Meeting
Rule-Based Algorithm Using Systemic Lupus International Collaborating Clinics (SLICC) Classification Criteria to Identify Patients with Systemic Lupus Erythematosus (SLE) from Electronic Health Record (EHR) Data
Background/Purpose: Systemic Lupus Erythematosus (SLE) is an autoimmune disease that can affect many parts of the body including skin, lungs, brain, heart, kidneys, joints, and…Abstract Number: 2802 • 2018 ACR/ARHP Annual Meeting
Risk of Ischemic Stroke in Veterans with Systemic Sclerosis: A Nationwide Cohort Study
Background/Purpose: Previously thought to involve primarily the microvasculature, systemic sclerosis (SSc) has been increasingly linked to macrovascular disease. Cardiovascular and cerebrovascular disease are responsible for…Abstract Number: 1014 • 2017 ACR/ARHP Annual Meeting
The Rheumatic Disease Data Refinery: A Case Study in Integrative Genomics Reveals Complex IFN Signatures in Therapeutic Studies in SLE
Background/Purpose: Over the past 15 years, more than 10,000 whole tissue biopsies from patients with rheumatic diseases have been deposited into publicly available gene expression…Abstract Number: 1170 • 2017 ACR/ARHP Annual Meeting
High Output Flow Cytometry Array Classifies Subjects with Uveitis Due to Behcet’s Disease and Sarcoidosis
Background/Purpose: The information content of multi-parametric flow cytometry-based immune-phenotyping experiments is routinely underexploited given the paucity of adequate tools and strategies for large-scale unbiased data…Abstract Number: 1234 • 2017 ACR/ARHP Annual Meeting
How Machine Learning Statistics Can Change the Game of Data Analysis in Rheumatology: The Example a Study with 170 Patients with Rheumatoid Arthritis (ra) or Axial Spondyloarthritis (axspa)
Background/Purpose: A link between flares and physical activity would confirm the objective consequences of flares. In the ActConnect study of patients with RA or axSpA,…Abstract Number: 2609 • 2017 ACR/ARHP Annual Meeting
A Systematic Literature Mining and Gene Expression Analysis Identifies Possible Drug Candidates for Repositioning in Lupus
Background/Purpose: Since new therapies for lupus have been extremely slow to develop and lupus patients have a great unmet medical need, an independent pharma-external effort…Abstract Number: 337 • 2017 ACR/ARHP Annual Meeting
Patient-Reported Flares Were Correctly Predicted By an Algorithm Using Machine-Learning Statistics on Activity Tracker Data on Steps, in a Longitudinal 3-Month Study of 170 Patients with Rheumatoid Arthritis (RA) or Axial Spondyloarthritis (axSpA)
Background/Purpose: The natural history of RA and axSpA comprises periods of low disease activity and flares. However, there are few data linking patient-reported flares to…
ACR Meeting Abstracts