Abstracts tagged "informatics"

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: 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: 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…

All abstracts accepted to ACR Convergence are under media embargo once the ACR has notified presenters of their abstract’s acceptance. They may be presented at other meetings or published as manuscripts after this time but should not be discussed in non-scholarly venues or outlets. The following embargo policies are strictly enforced by the ACR.

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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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