川崎病静脉注射丙种球蛋白无反应预测模型研究现状

doi:10.12372/jcp.2022.22e0740

Abstract

Abstract:

Kawasaki disease (KD) is an acute autoimmune systemic vasculitis, which is the leading cause of acquired heart disease in children in developed countries. The most serious consequence of KD is coronary artery diseases (CALs), which is associated with the prognosis of KD. Studies have confirmed that intravenous immunoglobulin (IVIG) resistance is an independent risk factor for CALs. In recent years, a series of predictive models have been developed to assess the risk of IVIG resistance. However, at present, the IVIG drug resistance prediction scoring system based on the demographic characteristics, clinical manifestations, laboratory tests and genetic characteristics of KD children has significant differences among different ethnic groups and among populations in different regions of the same ethnic group, and no prediction model suitable for the general population has been established.

Key words: Kawasaki disease, coronary artery lesions, IVIG resistance, prediction model, child

HUANG Yujuan, HUANG Min. Research status of predictive model for IVIG resistance in Kawasaki disease[J].Journal of Clinical Pediatrics, 2022, 40(7): 481-487.

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Research status of predictive model for IVIG resistance in Kawasaki disease

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