Prediction model for early graft failure after liver transplantation using aspartate aminotransferase, total bilirubin and coagulation factor.

ABSTRACT: This study was designed to build models predicting early graft failure after liver transplantation. Cox regression model for predicting early graft failure after liver transplantation using post-transplantation aspartate aminotransferase, total bilirubin, and international normalized ratio of prothrombin time was constructed based on data from both living donor (n = 1153) and deceased donor (n = 359) liver transplantation performed during 2004 to 2018. The model was compared with Model for Early Allograft Function Scoring (MEAF) and early allograft dysfunction (EAD) with their C-index and time-dependent area-under-curve (AUC). The C-index of the model for living donor (0.73, CI = 0.67-0.79) was significantly higher compared to those of both MEAF (0.69, P = 0.03) and EAD (0.66, P = 0.001) w

SUBMITTER: Rhu J 

PROVIDER: S-EPMC8213713 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature