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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2024

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2023

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2023

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2023

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2023

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2022

Collaborators (17)

Ji-Hyoun Kang

Professor

Chonnam National University

SOUTH KOREA
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Mitsumasa Kishimoto

-

JAPAN
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Atul Deodhar

Professor of Medicine

Oregon Health & Science University

UNITED STATES
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Jina Yeo

Gachon University Gil Medical Center

SOUTH KOREA
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Keewon Shin

Research Professor

Seoul National University Hospital

SOUTH KOREA
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Eun Young Lee

Professor

Seoul National University College of Medicine

SOUTH KOREA
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Ye Soo Park

Professor

Hanyang University Guri Hospital

SOUTH KOREA
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Namkug Kim

Assistance Professor

University of Ulsan College of Medicine

SOUTH KOREA
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Seok Woo Kim

Hallym University Sacred Heart Hospital

SOUTH KOREA
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Jun Won Park

Seoul National University Hospital

SOUTH KOREA
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Seunghun Lee

Professor

Hanyang University

SOUTH KOREA
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Ji Hee Kim

Hallym University Sacred Heart Hospital

SOUTH KOREA
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Tae-Jong Kim

Professor

Chonnam National University Medical School

SOUTH KOREA
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Young Bin Joo

Catholic University of Korea Eunpyeong St Mary's Hospital

SOUTH KOREA
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Sungsin Jo

Research Assistant Professor

-

SOUTH KOREA
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Shigeto Kobayashi

Juntendo University Hospital

JAPAN
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Seo Young Park

Korea University

SOUTH KOREA
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