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Table 1 Comparison of recipient characteristics between the DGF and non-DGF groups in the development cohort

From: Development and validation of a novel nomogram model for predicting delayed graft function in deceased donor kidney transplantation based on pre-transplant biopsies

Recipient characteristics

Non-DGF Group

DGF Group

P value

 

n = 396

n = 96

 

Age (years)

36.08 ± 9.61

37.66 ± 8.57

0.142

Male, n (%)

275 (69.4%)

72 (75.0%)

0.319

BMI (kg/m2)

20.10 ± 1.18

19.98 ± 0.79

0.798

Primary disease, n (%)

0.895

Chronic glomerulonephritis

283 (71.5%)

75 (78.1%)

 

IgA nephropathy

56 (14.1%)

10 (10.4%)

 

Diabetic nephropathy

10 (2.5%)

2 (2.1%)

 

Polycystic kidney

18 (4.5%)

4 (4.2%)

 

Purpura nephritis

9 (2.3%)

4 (4.2%)

 

Others

20 (5.1%)

1 (1.0%)

 

Hemodialysis (before transplant), n (%)

333 (84.1%)

74 (77.9%)

0.401

Dialysis duration (months)

19.71 ± 19.49

24.04 ± 26.80

0.075

HLA mismatches

2.0 (1.0, 2.0)

2.0 (1.0, 2.0)

0.337

PRA positive, n (%)

59 (14.8%)

6 (6.3%)

0.028

Pre-transplant serum creatinine (µmol/L)

892.41 ± 254.83

938.02 ± 244.74

0.114

Induction therapy, n (%)

0.581

r-ATG

255 (64.6%)

62 (64.6%)

 

ATG-F

57 (14.4%)

18 (18.8%)

 

Basiliximab

58 (14.7%)

10 (10.4%)

 

Others

26 (6.56%)

6 (6.3%)

 
  1. Data are expressed as mean ± SD, n (%), or median (interquartile range). DGF, delayed graft function; BMI, body mass index; HLA, human leukocyte antigen; PRA, panel reactive antibody; r-ATG, rabbit anti-thymocyte globulin; ATG-F, anti-thymocyte globulin Fresenius