Abstract: Objective：To investigate the risk factors for coronary artery injury in children with Kawasaki disease and to establish a risk prediction model for verification.Methods：A total of 296 children with Kawasaki disease who were treated in Hunan Children′s Hospital from July 2022 to October 2023 were selected and divided into a group with concurrent coronary artery injury (47 cases) and a group without concurrent coronary artery injury (249 cases) according to their own conditions.Multivariate Logistic regression was used to analyze the risk factors affecting concurrent coronary artery injury in children with Kawasaki disease.The prediction model was constructed and its predictive value was analyzed by ROC curve.Results：The incidence of coronary artery injury in Kawasaki disease children was 15.88%(47/296).Age≤2 years old,duration of fever ≥10h,and delay of IVIG treatment were independent risk factors for coronary artery injury in children with Kawasaki disease.Multivariate Logistic regression analysis was used to build a prediction model,and the ROC curve showed that the AUC of the prediction model in predicting coronary artery loss in Kawasaki disease children was 0.989,the sensitivity of the prediction was 92.3%,and the specificity was 98.4%.Conclusion：The risk factors for coronary artery loss in children with Kawasaki disease are related to age≤2 years old,duration of fever≥10h,and delay of IVIG treatment.The prediction model constructed has good clinical value,and clinical medical staff can take targeted preventive measures according to the risk factors for coronary artery loss in children with Kawasaki disease.

Key words: Kawasaki disease, Coronary artery injury, Risk factors, Prediction model；Child