Advances in diagnostic prediction of coronary artery lesions in Kawasaki disease

doi:10.5409/wjcp.v15.i1.112079

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World Journal of Clinical Pediatrics

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2219-2808

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.

World J Clin Pediatr. Mar 9, 2026; 15(1): 112079
Published online Mar 9, 2026. doi: 10.5409/wjcp.v15.i1.112079

Advances in diagnostic prediction of coronary artery lesions in Kawasaki disease

Ting Zhou, Yan Pan, Cai-Qiang Jiao

Ting Zhou, Yan Pan, Department of Pediatrics, The First Affiliated Hospital of Yangtze University, Jingzhou 434000, Hubei Province, China

Cai-Qiang Jiao, Songzi Doctor Innovation Practice Workstation, Songzi 434200, Hubei Province, China

Author contributions: Zhou T contributed to the manuscript writing; Pan Y was involved in the overall structure and elaboration of concepts for review; Jiao CQ was responsible for collecting literature materials; All authors contributed to the editing of the manuscript and read and approved the final version of the manuscript.

Conflict-of-interest statement: All authors report no relevant conflicts of interest for this article.

Corresponding author: Yan Pan, Researcher, Department of Pediatrics, The First Affiliated Hospital of Yangtze University, No. 55 Jianghan North Road, Jingzhou 434000, Hubei Province, China. woshipanyan@126.com

Received: July 17, 2025
Revised: August 4, 2025
Accepted: October 27, 2025
Published online: March 9, 2026
Processing time: 232 Days and 18.6 Hours

Core Tip

Core Tip: Kawasaki disease is a systemic vasculitis of unknown etiology in children aged 6 months to 5 years. It poses a significant risk of coronary artery lesions, necessitating early risk prediction to prevent long-term cardiac complications. This review highlighted advances in diagnostic scoring systems, biomarker indicators, analytical methods, and predictive models for coronary artery lesions in Kawasaki disease, offering insights to improve clinical risk assessment and intervention strategies.