Risk factors and prediction of acute kidney injury after liver transplantation: Logistic regression and artificial neural network approaches

Table 8 Logistic regression analysis of risk factors for acute kidney injury after deceased-donor liver transplantation (n = 145)

Logistic regression	Beta coeficient	OR	95%CI		P value
Biological MELD score ≥ 25	0.194	1.999	1.586	2.503	< 0.001
Pre-existing KD, n (%)	0.115	1.279	0.916	1.686	< 0.001
ECD (3 or more factors above)	0.911	1.191	0.711	1.787	0.002
IOAH (bleeding/PRS), n (%)	0.169	1.935	1.505	2.344	< 0.001
MBT, n (%)	0.125	1.830	1.428	2.241	< 0.001
SL (mmol/L) ≥ 2.0 at the end of LT	0.110	2.001	1.616	2.421	< 0.001

Hosmer and Lemeshow goodness of fit test not significant at 5% (P = 0.701); Nagelkerke R2 statistic = 0.163). LR: Logistic regression; AKI: Acute kidney injury; MELD: Model for End-stage Liver Disease; OR: Odds ratio; CI: Confidence interval; KD: Kidney dysfunction; ECD: Extended criteria donor; IOAH: Intra-operative arterial hypotension; MBT: Massive blood transfusion; SL: Serum lactate.