*Purpose: Acute kidney injury (AKI) is a common early complication after liver transplantation, but there are no related predictive tools or models at present. The purpose of this study is to find out the risk factors related to the occurrence of AKI and establish a predictive model.

*Methods: A retrospective analysis of patients with end stage liver disease who received liver transplantation in Organ Transplant Center, The First Affiliated Hospital of Sun Yat-sen University from 2016 to 2017 was performed. Univariate and multivariate logistic regression were used to identify factors associated with the occurrence of AKI, and a diagnostic nomogram was generated.

*Results: A total of 223 patients with complete medical records were included and 111 patients suffered AKI after transplantation, accounting for 49.8% of the included cases. Univariate and multivariate analysis confirmed that blood lactate at the end of operation(P < 0.001), Child-Pugh grading(P < 0.001) and intraoperative urine output (P = 0.005) of recipients as well as age of donor(P = 0.02) were independent predictors of AKI. A diagnostic nomogram with a c-statistic 0.803 was established.

*Conclusions: Independent predictors of the occurrence of AKI in patients after liver transplantation include blood lactate at the end of operation, Child-Pugh grading and intraoperative urine output of recipients as well as age of donor. This is the frst study to develop a nomogram exclusively for AKI after liver transplantation that may predict occurrence in future studies.

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