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Table 6 The predictive value of prognosis models

From: Prediction model of delayed graft function based on clinical characteristics combined with serum IL-2 levels

 

ROC Area (95% CI)

Cut-Off Point

Sensitivity (%)

Specificity (%)

Discovery cohort

Donor Terminal Creatinine(mg/dL)

0.753(0.622–0.883)

1.3178

60.9%

87.5%

Donor history of diabetes mellitus

0.655(0.510–0.799)

0.5

43.5%

87.5%

 CIT(h)

0.706(0.573–0.839)

11.25

43.5%

91.7%

Donor IL-2(pg/mL)

0.714(0.585–0.843)

66.415

95.7%

45.8%

Prediction_system

0.894(0.798–0.955)

-0.896

86.96%

85.42%

 KDRI

0.764(0.649–0.857)

1.13

82.61%

62.50%

 DGFS

0.720(0.601–0.820)

0.2767

69.57%

66.67%

Validation cohort

 Donor Terminal Creatinine(mg/dL)

0.817(0.640–0.931)

0.676

91.7%

65%

Donor history of diabetes mellitus

0.625(0.437–0.789)

0

25%

100%

 CIT(h)

0.769(0.586–0.899)

8

83.33%

65%

Donor IL-2(pg/mL)

0.819(0.643–0.932)

87.11

100%

55%

Prediction_system

0.879(0.715–0.967)

-0.984

0.8333

0.800

 KDRI

0.829(0.655–0.938)

0.80

100%

60%

 DGFS

0.667(0.479–0.823)

0.327

66.7%

80%

  1. KDRI The Kidney Donor Risk Index, DGFS, Delayed graft function score, CIT Cold ischemia time