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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Chuankun Zhang, Yongle Zhao, Yangzhongyi Liu, Chang Liu, Yi Wei, Nuo Xu, Hengpeng Luo, Penghui Yang, Qijian Yi
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMC 2026-04-01
Schriftenreihe:BMC Medical Informatics and Decision Making
Schlagworte:
Kawasaki disease
Intravenous immunoglobulin resistance
Machine learning
Prediction model
Meta-analysis
Predictors
Online-Zugang:https://doi.org/10.1186/s12911-026-03494-1
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