Abstracts tagged "electronic health records"

Abstract Number: 0328 • ACR Convergence 2021
Natural Language Processing to Identify Lupus Nephritis Phenotype in Electronic Health Records
Yu Deng¹, Jennifer Pacheco¹, Anh Chung¹, Chengsheng Mao¹, Joshua Smith², juan zhao¹, Wei-Qi Wei², April Barnado³, Chunhua Weng⁴, Cong Liu⁴, Adam Gordon¹, Jingzhi Yu¹, Yacob Tedla¹, Abel Kho¹, Rosalind Ramsey-Goldman¹, Theresa Walunas¹ and Yuan Luo¹, ¹Northwestern University, Chicago, IL, ²Vanderbilt Universty Medical Center, Nashville, TN, ³Vanderbilt University Medical Center, Nashville, TN, ⁴Columbia University, New York, NY
Background/Purpose: Lupus nephritis (LN) is a major disease manifestation of Systemic lupus erythematosus (SLE) leading to organ damage and increased mortality. Accurately identifying lupus nephritis…
Abstract Number: 0337 • ACR Convergence 2021
Rarity of Pneumocystis Jirovecii Pneumonia in Patients with Systemic Lupus Erythematosus Using a Real-world, Electronic Health Record
Ben Boone and April Barnado, Vanderbilt University Medical Center, Nashville, TN
Background/Purpose: Infection is the leading cause of mortality and one of the most common causes of hospitalization in patients with systemic lupus erythematosus (SLE). Pneumocystis…
Abstract Number: 1756 • ACR Convergence 2021
Class V Systemic Lupus Erythematosus Nephritis Patients Are Undertreated and Face Similar Adverse Renal Outcomes as Class III/IV Patients
April Barnado and Alex Camai, Vanderbilt University Medical Center, Nashville, TN
Background/Purpose: Few studies have investigated treatment patterns and renal outcomes in class V systemic lupus erythematosus (SLE) nephritis patients compared to class III/IV patients. Prior…

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