Eun Young Lee
Professor
Research Interests
Explore related searches
Contact this professor
Get a free first email built on one of their papers, ready for you to edit and send yourself.
About
Dr. Eun Young Lee is a Professor at Seoul National University College of Medicine in South Korea. Her research focuses on various aspects of inflammatory diseases, including familial Mediterranean fever, Pneumocystis pneumonia, and idiopathic inflammatory myopathy. She has published recent articles examining predictive models for disease progression and treatment outcomes in patients with different autoimmune conditions.
Articles (19)
Year:
2025
Year:
2025
Year:
2025
Objectives To develop a model for predicting flares after tapering the dose of tumour necrosis factor inhibitors (TNFi) in patients with axial spondyloarthritis (axSpA). Methods Data were obtained from the Korean College of Rheumatology Biologics and Targeted Therapy Registry. In total, 526 patients who received the standard-dose TNFi for at least 1 year and tapered their dose were included in the derivation cohort. The main outcome was a flare occurrence defined as an Ankylosing Spondylitis Disease Activity Score with C-reactive protein (ASDAS-CRP) score of ≥2.1 after 1 year of TNFi tapering. The final prediction model was validated using an independent cohort. Results Among 526 patients, 127 (24.1%) experienced flares. The final prediction model included negative human leucocyte antigen B27 (β = 1.088), inflammatory back pain (β = 1.072), psoriasis (β = 1.567), family history of SpA (β = 0.623), diabetes mellitus (β = 1.092), TNFi tapering by ≥50% of the standard-dose (β = 0.435), ASDAS-CRP at tapering (β = 1.029), and Bath Ankylosing Spondylitis Functional Index score at tapering (β = 0.194) as covariates. It showed an excellent discrimination performance (AUC = 0.828). According to the predictive risk, patients were classified into three groups (low-, intermediate- and high-risk). The probabilities of flares in these groups were 4.5%, 18.1% and 61.8%, respectively. The performance of the model in the validation cohort was also comparable. Conclusion The established prediction model accurately predicted the risk of flares after TNFi dose tapering in patients with axSpA using eight simple clinical parameters, which could be helpful to select appropriate patients for tapering their TNFi without flare in daily clinical practice.
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Year:
2022
Year:
2021
Year:
2021
Year:
2021
Year:
2020
Collaborators (16)
Eun Ha Kang
Seoul National University Hospital
Atul Deodhar
Professor of Medicine
Oregon Health & Science University
Jina Yeo
Gachon University Gil Medical Center
Yeong Wook Song
-
Tae-Hwan Kim
-
Denis Poddubnyy
-
Eun Bong Lee
Seoul National University College of Medicine
Jin Kyun Park
Associate Professor
Seoul National University
Joo-Youn Cho
Seoul National University College of Medicine
Byeong-zu Ghang
Jeju National University College of Medicine and Graduate School of Medicine
Kichul Shin
-
Jun Won Park
Seoul National University Hospital
You-Jung Ha
Seoul National University College of Medicine
In Ah Choi
Chungbuk National University
Hyun Kim
Professor
UCLA
Young Seok Ju
Associate Professor
Korea Advanced Institute of Science and Technology
Make your next move.
Prepare your application
Review drafts before you send them.