Construction of nomogram prediction model for the risk of non-alcoholic fatty liver disease in people with impaired fasting glucose
Objective To analyze the influencing factors for non-alcoholic fatty liver disease(NAFLD)in the patients with impaired fasting glucose(IFG),and construct a nomogram prediction model.Methods A total of 473 IFG patients were divided into group A(combined with NAFLD,212 cases)and group C(without NAFLD,261 cases).Multivariate logistic regression analysis was applied to analyze the influencing factors for NAFLD in IFG patients,and the nomogram prediction model was constructed.ROC curve,calibration curve,decision curve analysis(DCA)and clinical impact curve(CIC)were used to evaluate the accuracy and clinical practicability of the nomogram model.Results The results of multivariate logistic regression analysis showed that increased BMI,TG,TyG-BMI and ALT were the independent risk factors for NAFLD in IFG patients(P＜0.05).The AUC value of predicting NAFLD in IFG patients by the nomogram model was 0.753[95％ CI(0.712-0.791),P＜0.01],with the sensitivity of 78.77％and the specificity of 60.77％,which indicated a good model differentiation.The calibration curve showed a higher accuracy.The DCA and CIC showed that the nomogram model had better clinical efficiency.Conclusion The nomogram model can effectively evaluate the risk of NAFLD in IFG patients.
Impaired fasting glucoseNon-alcoholic fatty liver diseaseNomogram model
NETL
NSTL
万方数据
