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. Author manuscript; available in PMC: 2014 Jun 10.
Published in final edited form as: Am J Transplant. 2014 Feb 24;14(4):886–896. doi: 10.1111/ajt.12635

Table 3.

Association of Perfusate Biomarkers with DGF

Biomarker Time-point Relative Risk (95% confidence interval) for DGF
Unadjusted Adjusted for donor
variables only1
Adjusted for donor
& transport
variables 2
Adjusted for donor,
transport &
recipient variables 3
Pi-GST Base 1.10 (0.98–1.22) 1.07 (0.96–1.19) 1.14 (1.01–1.27) 1.05 (0.96–1.16)
Post 1.41 (1.13–1.77) 1.28 (1.02–1.61) 1.36 (1.05–1.75) 1.36 (1.14–1.63)
Alpha-GST Base 1.06 (0.97–1.15) 1.04 (0.96–1.13) 1.09 (1.00–1.18) 1.03 (0.96–1.11)
Post 1.14 (0.97–1.33) 1.03 (0.88–1.22) 1.09 (0.93–1.26) 1.11 (0.97–1.26)

Perfusate biomarkers were natural log-transformed and added individually to all models (i.e., perfusate biomarkers were not combined during multivariable adjustment). DGF, delayed graft function; GST, glutathione S-transferase.

1

Donor variables used for adjustment: age in years, Black race, DCD status, hypertension, diabetes, stroke as cause of death, terminal serum creatinine in mg/dl, height in cm, and weight in kg

2

Includes donor variables listed above plus cold ischemia time in hours and renal resistance at 4 hours in mmHg/ml/min

3

Includes all variables listed above (except renal resistance) plus the following recipient variables: Black race, male gender, previous kidney transplant, diabetes as the cause of end stage renal disease, need for pretransplant blood transfusion, number of human leukocyte antigen mismatches, body mass index in kg/m2, and duration of dialysis before transplant in months