Development and validation of a nomogram for predicting acute kidney injury after orthotopic liver transplantation
Dandan Guo, Huifang Wang, Xiaoying Lai, Junying Li, Demin Xie, Zhen Li, Chunhui Jiang, Min Li, Xuemei Liu
Abstract
BACKGROUND: We aim to develop and validate a nomogram model for predicting severe acute kidney injury (AKI) after orthotopic liver transplantation (OLT). METHODS: A total of 576 patients who received OLT in our center were enrolled. They were assigned to the development and validation cohort according to the time of inclusion. Univariable and multivariable logistic regression using the forward variable selection routine were applied to find risk factors for post-OLT severe AKI. Based on the results of multivariable analysis, a nomogram was developed and validated. Patients were followed up to assess the long-term mortality and development of chronic kidney disease (CKD). RESULTS: < 0.05). CONCLUSIONS: With excellent predictive abilities, the nomogram may be a simple and reliable tool to identify patients at high risk for severe AKI and poor long-term prognosis after OLT.