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 1 Comparison of variables used in different scoring systems
DGF risk calculator (Irish et al[9])DGFS scoring system (Chapal et al[11])Jeldres scoring system (Jeldres et al[10])
Recipient variables
Recipient BMI++-
Recipient age+-+
No. of HLA mismatches+-+
Peak PRA (%)+-+
Recipient race+--
Recipient gender+--
Duration of dialysis+--
History of diabetes mellitus+--
Previous transplantation or blood transfusion+--
Single or multiple organ transplant+--
Recipient weight--+
Donor variables
Donor age+++
Duration of CIT+++
Terminal serum creatinine++-
Donor weight+--
Primary cause of death+--
History of hypertension+--
Duration of WIT+--
Type of the donor (living, DCD)+--
Type of induction therapy-+-
Table 2 Recipient characteristics at the time of transplantation
Age (yr)50.2 ± 11.92
Origin (%)
Blacks4.5
Caucasians95.5
Gender (%)
Male61.9
History of diabetes mellitus (%)
Yes16.6
Body mass index (kg/m²)25.1 ± 3.82
Pretransplant transfusions (%)
Yes38.1
No56.7
Unknown5.3
Duration of the pre-transplant renal replacement therapy (mo)26.7 (16.4-43.5)1
Peak panel-reactive antibodies (%)88.5
≤ 5%9.5
5%-80%2
≥ 80%
Proportion of kidney re-graft (%)12.6
Total HLA mismatches3 (2-3)1
Table 3 Donor characteristics at the time of transplantation
Age (yr)45.1 ± 14.12
Weight (kg)76.2 ± 16.42
History of hypertension (%)
Yes23.1
No74.5
Unknown2.4
Terminal serum creatinine (mg/dL)0.78 (0.61-1.00)1
Donor type (%)
Standard criteria donor68.8
Extended criteria donor17
Donation after cardiac death donor14.2
Primary cause of death (%)
Cerebrovascular accident/stroke27.1
Anoxia8.1
Other64.8
Cold ischemia time (h)14 ± 4.72
Second warm ischemia time (min)32.8 ± 7.92
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