System and device for predicting resistance of child suffering Kawasaki disease after first injection of intravenous immunoglobulin

Abstract

The invention belongs to the technical field of Kawasaki disease medical equipment, and particularly discloses a system and device for predicting the resistance of child suffering Kawasaki disease after first injection of intravenous immunoglobulin, the prediction system comprises: a data acquisition module which is used for acquiring baseline data, image data and laboratory data of a sample before first IVIG treatment; a data processing module which is used for receiving and processing the data information acquired by the data acquisition module and acquiring variable parameters; a risk factor acquisition module which is used for receiving the variable parameters and screening to obtain IVIG resistance risk factors; and the prediction module which is used for bringing the IVIG resistance risk factors into a machine learning model and establishing a prediction model. According to the technical scheme, through cooperation of all the modules, collection and screening of sample information are achieved, and whether a child patient has first dose IVIG resistance or not is predicted according to the acquired information.

Description

technical field [0001] The invention belongs to the technical field of Kawasaki disease medical equipment, and relates to a prediction system and device for the resistance of children with Kawasaki disease to the first injection of gamma globulin. Background technique [0002] Kawasaki disease (KD), also known as mucocutaneous lymph node syndrome, is an acute autoimmune vasculitic disease characterized by bilateral conjunctival inflammation and atypical rash. Infants and toddlers. Kawasaki disease can lead to serious coronary complications and has become a leading cause of increased rates of acquired heart disease in children. [0003] At present, the pathogenesis of Kawasaki disease is not yet clear, and the accepted initial standard treatment is high-dose (2g / kg) intravenous gamma globulin (intravenous immunoglobulin, IVIG) combined with oral aspirin for treatment, but there are still 10-20% of Kawasaki disease The children are resistant to IVIG, and after the first admi...

AI Technical Summary

Problems solved by technology

In the past ten years, many scholars at home and abroad have devoted themselves to the construction of prediction models, but these models are not accurate enough to be widely used in clinical practice to predict the response of IVIG in initial treatment, and to develop better results for different regions. predictive modeling remains a challenge for

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