Retrospective Cohort Study
Copyright ©The Author(s) 2017.
World J Transplant. Oct 24, 2017; 7(5): 260-268
Published online Oct 24, 2017. doi: 10.5500/wjt.v7.i5.260
Table 4 Observed prevalence vs predicted probability of delayed graft function in the overall population and by risk group
Kidney graft according to donor typeObserved prevalence of DGF (%)Probability of DGF predicted by the DGF risk calculator (%) (Irish et al[9])Probability of DGF predicted by the DGF scoring system (%) (Chapal et al[11])Probability of DGF predicted by the Jeldres scoring system (%) (Jeldres et al[10])
Overall population (n = 247)15.316119.71251
12-24213.6-26214-402
0.6930.5130.543
Standard criteria donor (n = 170)11.814120.11211
10-20214.5-26.4213.7-34.22
0.7330.6030.543
Extended criteria donor (n = 42)1919.5121.2141.51
14-25214.4-27.6225.7-602
0.3930.3430.383
Donation after cardiac death (n = 35)28.630111.81211
18-3829.1-20.428-392
0.6530.5830.643

  • Citation: Michalak M, Wouters K, Fransen E, Hellemans R, Van Craenenbroeck AH, Couttenye MM, Bracke B, Ysebaert DK, Hartman V, De Greef K, Chapelle T, Roeyen G, Van Beeumen G, Emonds MP, Abramowicz D, Bosmans JL. Prediction of delayed graft function using different scoring algorithms: A single-center experience. World J Transplant 2017; 7(5): 260-268
  • URL: https://www.wjgnet.com/2220-3230/full/v7/i5/260.htm
  • DOI: https://dx.doi.org/10.5500/wjt.v7.i5.260