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.