Abstracts tagged "informatics"

Abstract Number: 0167 • ACR Convergence 2020
Rheumatoid Arthritis Patient Phenotypes from a Digital Health Coaching Engagement Program
Jonathan Patterson¹, Kirby Magid², Dhiren Patel³ and Matt Allison³, ¹Pack Health, Birmingham, AL, ²University of North Carolina at Charlotte, Charlotte, ³Pack Health, Birmingham
Background/Purpose: The goal of this study was to examine whether cluster analysis could be used to identify homogeneous subgroups of engagement in RA patients enrolled…
Abstract Number: 0257 • ACR Convergence 2020
Application of Text Mining Methods to Identify Lupus Nephritis from Electronic Health Records
Milena Gianfrancesco¹, Suzanne Tamang², Gabriela Schmajuk³ and Jinoos Yazdany⁴, ¹University of California, San Francisco, San Francisco, CA, ²Stanford Center for Population Health Sciences, Redwood City, CA, ³University of California, San Francisco, Atherton, CA, ⁴UCSF, San Francisco, CA
Background/Purpose: Lupus nephritis (LN) is a frequent complication of SLE and associated with higher morbidity and mortality. Accurate estimates of the prevalence of LN in…
Abstract Number: 0569 • ACR Convergence 2020
Ability and Willingness to Utilize Telemedicine Among Rheumatology Patients – a Cross Sectional Survey
Steve Kong¹, Lilian Otalora Rojas², Amnie Ashour³, Mathew Robinson¹ and Neha Bhanusali¹, ¹University of Central Florida College of Medicine, Orlando, ²University of Central Florida HCA Healthcare GME, Orlando, ³Stony Brook University School of Medicine, New York
Background/Purpose: Telemedicine (TM) is the delivery of health care services using information and communication technologies. TM presents unique opportunities and benefits specifically in rheumatology as…
Abstract Number: 0578 • ACR Convergence 2020
Going Digital Due to COVID 19 Crisis: A Rapid Reorganisation of Medication Clinics
Rian Penford¹, Angela Reith¹, Elaine Wren¹ and Kirsten Mackay¹, ¹Torbay and South Devon NHS Foundation Trust, Torquay, United Kingdom
Background/Purpose: Until the COVID 19 crisis we initiated DMARD(s) and Biologic therapies using shared medical clinics. More than 30 patients could seen per week, with…
Abstract Number: 0589 • ACR Convergence 2020
The Ideal Mhealth Application for Rheumatoid Arthritis: Qualitative Findings from Stakeholder Focus Groups
Diederik De Cock¹, Maryline Vandeputte², Rani Van Melder², Michael Doumen², Delphine Bertrand¹, Veerle Stouten¹, Sofia Pazmino¹, 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: Early access to specialized rheumatological care is under increasing pressure. Many countries are currently confronted with a relative shortage of practicing rheumatologists, while recent…
Abstract Number: 0973 • ACR Convergence 2020
Novel Network Tool Highlights Key Features Associated with Disease Pathotypes and Response to Treatment in Early Rheumatoid Arthritis
Elisabetta Sciacca¹, Anna Surace², Myles Lewis¹, Salvatore Alaimo³, Vito Latora⁴, Felice Rivellese¹, Alfredo Pulvirenti³, Alfredo Ferro³ and Costantino Pitzalis⁵, ¹Centre for Experimental Medicine and Rheumatology, Queen Mary University of London, London, United Kingdom, ²Centre for Experimental Medicine and Rheumatology, Queen Mary University of London, Liverpool, United Kingdom, ³Bioinformatics Unit, Dept of Clinical and Experimental Medicine, University of Catania, Catania, Sicilia, Italy, ⁴School of Mathematical Sciences Queen Mary, University of London, London, United Kingdom, ⁵Queen Mary University of London, London, United Kingdom
Background/Purpose: Biomedical research uses many statistical/bioinformatics tools to find genes or proteins differentially expressed between patient group of interest. However, biological elements are related to…
Abstract Number: 1302 • ACR Convergence 2020
Exploration of Machine Learning Methods in Predicting Systemic Lupus Erythematosus Hospitalizations
April Jorge¹, Zhiyao Wu², Tashrif Chowdhury² and Yijun Zhao², ¹Massachusetts General Hospital, Boston, MA, ²Fordham University, Computer and Information Sciences Department, New York, NY
Background/Purpose: Systemic lupus erythematosus (SLE) is a heterogeneous disease associated with increased morbidity and mortality, and severe SLE flares can lead to hospitalizations. Our objective…
Abstract Number: 1545 • ACR Convergence 2020
An Artificial Intelligence (AI) Assistant Identifying Spinal Diffuse Idiopathic Skeletal Hyperostosis on Plain X-rays: A Pilot Deep Learning Study
Sarah Ringsted¹, Nishad Sathe¹, Atul Deodhar² and Dongseok Choi², ¹Oregon Health and Science University, Portland, OR, ²Oregon Health & Science University, Portland, OR
Background/Purpose: Diffuse idiopathic skeletal hyperostosis (DISH) is a non-inflammatory condition most classically seen in the spine, and is characterized by ossification of the spinal ligaments…
Abstract Number: 1597 • ACR Convergence 2020
Use of a Clinical Dashboard Improves the Documentation of Disease Severity Scores and May Facilitate the Implementation of Treat to Target Therapy
Taylor Nelson¹, Gary Kunkel² and Grant Cannon², ¹University of Utah, Salt Lake City, ²Salt Lake City VA Medical Center and University of Utah, Salt Lake City
Background/Purpose: Rheumatoid Arthritis (RA) management guidelines recommend the collection of Disease Activity Measures (DAMs) to direct therapy as a component of a “treat-to-target” (T2T) strategy. …
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: 1788 • ACR Convergence 2020
Assessment of the Impact of Interferon Levels on Cognitive Dysfunction in Patients with SLE
Andrew Kwan¹, Joan Wither², Juan Pablo Diaz-Martinez², Robin Green³, Dorcas Beaton⁴, Mahta Kakvan², Lesley Ruttan³, Carmela Tartaglia⁵, Marvin Fritzler⁶, May Choi⁷, Jiandong Su², Dennisse Bonilla², Nicole Anderson², Patricia Katz⁸ and Zahi Touma⁹, ¹University of Toronto, Department of Medicine, Toronto, ON, Canada, ²University of Toronto Lupus Clinic, Centre for Prognosis Studies in Rheumatic Diseases, Toronto Western Hospital, University Health Network, Toronto, ON, Canada, ³Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada, ⁴Institute for Work & Health, Toronto, ON, Canada, ⁵University of Toronto, Krembil Neurosciences Centre, Toronto, ON, Canada, ⁶Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada, ⁷Brigham and Women's Hospital | Cumming School of Medicine, University of Calgary, Calgary, AB, Canada, ⁸University of California, San Francisco, Novato, CA, ⁹University of Toronto, Toronto, ON, Canada
Background/Purpose: Cognitive impairment (CI) is among the earliest and the most prevalent manifestations of SLE. Previous studies have demonstrated that the increased levels of interferon…
Abstract Number: 2888 • 2019 ACR/ARP Annual Meeting
Deriving Accurate Prednisone Dosing from Electronic Health Records: Analysis of a Natural Language Processing Tool for Complex Prescription Instructions
Francine Castillo¹, Adrienne Strait ², Michael Evans ³, Julia Kay ⁴, Milena Gianfrancesco ⁵, Zara Izadi ⁶, Laura Trupin ¹, Mylien Hoang ⁷, James Shalaby ⁸, Gabriela Schmajuk ⁹ and Jinoos Yazdany ⁴, ¹University of California, San Francisco, San Francisco, CA, ²UCSF School of Medicine, San Francisco, CA, ³University of California San Francisco, San Francisco, ⁴UCSF Division of Rheumatology, San Francisco, CA, ⁵University of California, San Francisco, San Francisco, ⁶UCSF Division of Rheumatology, San Francisco, ⁷Touro University, San Francisco, ⁸Elimu Informatics, San Francisco, ⁹UCSF, SFVAMC Division of Rheumatology, San Francisco, CA
Background/Purpose: Prednisone is commonly used to treat rheumatic diseases, yet few comparative effectiveness studies on different dosing regimens are available. Electronic health records (EHR) and…