Predictive modeling of consecutive intravenous immunoglobulin treatment resistance in Kawasaki disease: A nationwide study

Abstract Kawasaki disease (KD) is a leading cause of acquired heart disease in children, often resulting in coronary artery complications such as dilation, aneurysms, and stenosis. While intravenous immunoglobulin (IVIG) is effective in reducing immunologic inflammation, 10–15% of patients do not re...

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Autors principals:	Eun Jung Cheon, Gi Beom Kim, Seung Park
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-01-01
Col·lecció:	Scientific Reports
Matèries:	Kawasaki disease Treatment resistance Machine learning Immunoglobulins Intravenous Coronary artery disease
Accés en línia:	https://doi.org/10.1038/s41598-025-85394-4
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