A universal model for predicting coronary artery lesions in subgroups of kawasaki disease in China: based on cluster analysis

A universal model for predicting coronary artery lesions in subgroups of kawasaki disease in China: based on cluster analysis

ObjectiveCoronary artery lesions (CAL) represent the most severe complication of Kawasaki disease (KD). Currently, there is no standardized method for predicting CAL in KD, and the predictive effectiveness varies among different KD patients. Therefore, our study aims to establish distinct predictive...

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Bibliographic Details
Main Authors: Chuxiong Gong, Feng Li, Zhongjian Su, Yanan Fu, Xing Zhang, Qinhong Li, Xiaomei Liu, Lili Deng
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
kawasaki disease
cluster analysis
coronary artery lesions
cardiovascular diseases
children's diseases
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2025.1532768/full
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https://www.frontiersin.org/articles/10.3389/fcvm.2025.1532768/full

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