Prediction for Intravenous Immunoglobulin Resistance Combining Genetic Risk Loci Identified From Next Generation Sequencing and Laboratory Data in Kawasaki Disease

Prediction for Intravenous Immunoglobulin Resistance Combining Genetic Risk Loci Identified From Next Generation Sequencing and Laboratory Data in Kawasaki Disease

Background: Kawasaki disease (KD) is the most common cause of acquired heart disease. A proportion of patients were resistant to intravenous immunoglobulin (IVIG), the primary treatment of KD, and the mechanism of IVIG resistance remains unclear. The accuracy of current models predictive of IVIG res...

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Bibliographic Details
Main Authors: Liqin Chen, Sirui Song, Qianqian Ning, Danying Zhu, Jia Jia, Han Zhang, Jian Zhao, Shiying Hao, Fang Liu, Chen Chu, Meirong Huang, Sun Chen, Lijian Xie, Tingting Xiao, Min Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Pediatrics
Subjects:
Kawasaki disease
intravenous immunoglobulin resistance
gene
laboratory data
predictive model
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2020.462367/full

Internet

https://www.frontiersin.org/articles/10.3389/fped.2020.462367/full

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