Tae-Hwan Kim
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Articles (19)
Nonradiographic axial spondyloarthritis (nr-axSpA) is a subtype of SpA with undeveloped definite radiographic sacroiliitis. Tumor necrosis factor inhibitors have demonstrated effectiveness in nr-axSpA patients who do not respond to first-line therapy. More recently, accumulated data from genetic, experimental, and clinical studies revealed that IL-17 is a key player in the pathogenesis of SpA, leading to development of new biologics directly inhibiting IL-17. Among them, ixekizumab is a high-affinity monoclonal antibody that selectively targets IL-17A and has exhibited significant efficacy and acceptable safety profiles in the treatment of nr-axSpA. The aim of this paper is to narratively review the recent insights of IL-17 in the pathogenesis of axSpA and discuss the effectiveness and safety of ixekizumab in treatment of nr-axSpA.
Year:
2024
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.
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2024
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2022
Collaborators (17)
Ji-Hyoun Kang
Professor
Chonnam National University
Mitsumasa Kishimoto
-
Atul Deodhar
Professor of Medicine
Oregon Health & Science University
Jina Yeo
Gachon University Gil Medical Center
Keewon Shin
Research Professor
Seoul National University Hospital
Eun Young Lee
Professor
Seoul National University College of Medicine
Ye Soo Park
Professor
Hanyang University Guri Hospital
Namkug Kim
Assistance Professor
University of Ulsan College of Medicine
Seok Woo Kim
Hallym University Sacred Heart Hospital
Jun Won Park
Seoul National University Hospital
Seunghun Lee
Professor
Hanyang University
Ji Hee Kim
Hallym University Sacred Heart Hospital
Tae-Jong Kim
Professor
Chonnam National University Medical School
Young Bin Joo
Catholic University of Korea Eunpyeong St Mary's Hospital
Sungsin Jo
Research Assistant Professor
-
Shigeto Kobayashi
Juntendo University Hospital
Seo Young Park
Korea University
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