Objective To investigate the application value of multiple factors such as ultrasound,contrast-enhanced ultrasound parameters and clinical related data in delayed graft function recovery,so as to establish a diagnostic model for delayed graft function recovery,and further provide an important basis for clinical diagnosis.Methods Retrospective analysis of 212 patients undergoing allogeneic renal transplantation after urologic surgery at the First Foshan People’s Hospital,including 157 cases in the transplanted kidney normalgraftfunction(NGF) group and 55 cases in the delayedgraftfunction(DGF) group.Clinical data,ultrasonography and contrast-enhanced ultrasonography(CEUS) were collected and analyzed by univariate analysis in both groups.Logistic regression analysis was performed with (whether it was DGF) as the dependent variable and (some variables with P<0.05) as the independent variable, and statistically significant indicators were obtained through the analysis, so as to establish a diagnostic model, draw the ROC curve and make a diagnostic evaluation.Results The height,weight and blood urea nitrogen(BUN) in DGF group of transplanted kidney function were higher than those in NGF group(both P<0.05),and the hemoglobin index in DGF group of transplanted kidney function was lower than that in NGF group(P=0.004).The CEUS in DGF group showed that arrival intensity(AI), peak intensity(PI), echo enhancement intensity(A), and area under the curve(AUC) were lower than those in the NGF group (both P<0.05);There were statistically significant differences in the peak systolic velocity(PSV) of interlobar arteries,resistance index(RI) of interlobar arteries,PSV of segmental arteries,RI of segmental arteries,RI of renal portal arteries and RI of anastomotic arteries between the two groups(both P<0.05).The above indicators were included in Logistic regression,and the differences in BUN,RI of interlobar arteries and AUC were statistically significant(both P<0.005).The diagnostic model was Logistic（P）=-3.363+0.169×BUN+0.794×RI of interlobar arteries-0.001×AUC.The cutoff for diagnosis of the model was 0.332,and the sensitivity of predicting DGF was 78.2%.The specificity,Youden index,positive predictive value and negative predictive value were 89.8%,68.0%,72.9% and 92.1%,respectively.Conclusion The diagnostic model of AUC in CEUS parameters,RI of interlobar arteries in ultrasonography parameters combined with BUN index has high sensitivity and specificity for early prediction of DGF of transplanted kidney,and has high clinical diagnostic value.