Zhou T, Pan Y, Jiao CQ. Advances in diagnostic prediction of coronary artery lesions in Kawasaki disease. World J Clin Pediatr 2026; 15(1): 112079 [DOI: 10.5409/wjcp.v15.i1.112079]
Corresponding Author of This Article
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
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Immunology
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Minireviews
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This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Mar 9, 2026 (publication date) through Mar 9, 2026
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Publication Name
World Journal of Clinical Pediatrics
ISSN
2219-2808
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
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Zhou T, Pan Y, Jiao CQ. Advances in diagnostic prediction of coronary artery lesions in Kawasaki disease. World J Clin Pediatr 2026; 15(1): 112079 [DOI: 10.5409/wjcp.v15.i1.112079]
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
Abstract
Kawasaki disease (KD) is a systemic vasculitis of unknown etiology in children with coronary artery lesions (CALs) being its most concerning complication. Untimely diagnosis may lead to long-term cardiac damage and adult-onset cardiovascular disease. Researchers have long sought to identify risk factors for predicting high-risk CALs development in patients with KD. Domestic and international scholars have established scoring systems and predictive models to assess CAL risk based on these factors. This review summarized recent advances in four key areas: (1) Diagnostic prediction scoring systems; (2) Biomarker indicators; (3) Analytical methods; and (4) Predictive models for KD-associated cardiovascular complications, aiming to provide references for CAL prediction in KD.
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.
