Prediction of graft outcomes after kidney transplantation: When standard statistics compare to machine learning techniques

Table 8 Statistically significant variables at the 95% significance level from multivariate logistic regressions

Data	Variable	Odds ratio	P value
DTR
Donor (D)	Age	82.4	< 0.01
Transplant (T)	Cold ischemia time (hours)	30.8	0.001
Recipient (R)	Residual diuresis (mL/day)	0.1	0.006
	Smoking (BV1 = no smoking)	15.5	0.02
DR
Recipient (R)	Residual diuresis (mL/day)	0.1	0.008
	Smoking (BV1 = no smoking)	10.4	0.02
DT
Transplant (T)	Cold ischemia time (hours)	28.9	0.001
Donor (D)	Age	60.8	< 0.01
D
Donor (D)	Age	35.9	< 0.01

¹Indicates the base value of the categorical predictor in the model.

D: Donor data; DT: Donor and transplant data; DR: Donor and recipient data; DTR: Donor, transplant and recipient date.