Machine learning prediction models for intravenous immunoglobulin resistance in Kawasaki disease: a meta-analysis

Abstract Background Intravenous immunoglobulin (IVIG) is the standard initial treatment for Kawasaki disease (KD). However, approximately 20% of patients are resistant, who have a significantly increased risk of coronary artery lesions. Early prediction of IVIG resistance is crucial for improving ou...

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Principais autores:	Chuankun Zhang, Yongle Zhao, Yangzhongyi Liu, Chang Liu, Yi Wei, Nuo Xu, Hengpeng Luo, Penghui Yang, Qijian Yi
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2026-04-01
Serija:	BMC Medical Informatics and Decision Making
Teme:	Kawasaki disease Intravenous immunoglobulin resistance Machine learning Prediction model Meta-analysis Predictors
Online dostop:	https://doi.org/10.1186/s12911-026-03494-1
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