Delayed Graft Function in Kidney Transplants: Time Evolution, Role of Acute Rejection, Risk Factors, and Impact on Patient and Graft Outcome

Table 5

Logistic regression analysis of factors predicting delayed graft function (DGF) with and without acute rejection episodes (ARE) occurring during the DGF period (grafts with complete data).

(a)

Predictive factors	Risk code	Regression coefficient	value	Odds ratio (95% CI)
Grafts with ARE ()
Constant		−7.082	<0.001
Cold ischaemia time	Increase per h	0.091	<0.001	1.094 (1.064–1.124)
Recipient’s residual diuresis	If <500 mL/d, then 1, else 0	0.851	<0.001	2.3 (1.6–3.5)
Perioperative saline loading	If no, then 1, else 0	1.200	<0.001	3.3 (2.0–5.4)
Donation after cardiac death	If yes, then 1, else 0	1.292	0.001	3.6 (1.7–7.8)
Recipient’s BMI	Increase per kg/m^2	0.066	0.004	1.068 (1.026–1.113)
Donor’s terminal creatinine	Increase per mg/dL	0.730	0.008	2.1 (1.3–3.4)
Recipient’s gender	If male, then 1, else 0	0.594	0.009	1.8 (1.2–2.7)

Log likelihood chi-square (7 DF): 163.71, . Goodness of fit: .

(b)

Predictive factors	Risk code	Regression coefficient	value	Odds ratio (95% CI)
Grafts without ARE ()
Constant		−6.938	<0.001
Cold ischaemia time	Increase per h	0.092	<0.001	1.096 (1.066–1.128)
Perioperative saline loading	If no, then 1, else 0	1.182	<0.001	3.3 (1.9–5.6)
Recipient’s residual diuresis	If <500 mL/d, then 1, else 0	0.843	<0.001	2.3 (1.6–3.5)
Recipient’s BMI	Increase per kg/m^2	0.064	0.003	1.066 (1.022–1.112)
Donor’s terminal creatinine	Increase per mg/dL	0.681	0.009	2.0 (1.2–3.3)
Donation after cardiac death	If yes, then 1, else 0	1.079	0.010	2.9 (1.3–6.7)
Recipient’s gender	If male, then 1, else 0	0.515	0.012	1.7 (1.1–2.5)

Log likelihood chi-square (7 DF): 137.34, . Goodness of fit: .