The utility of early post-liver transplantation model for end-stage liver disease score in prediction of long-term mortality

早期肝移植后终末期肝病评分模型在预测长期死亡率方面的应用价值

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Abstract

BACKGROUND: Little is known about the prognostic ability of post-liver transplantation (LT) model for end-stage liver disease (MELD) score measurement in assessing long-term outcomes. The aim of the present study was to investigate this possible relationship. METHODS: In this retrospective cohort study, the medical records of LT recipients operated under a LT program were reviewed. The accuracy of post-operation MELD score for predicting mortality was evaluated based on receiver operating characteristic (ROC) curves. Univariate and Cox proportional hazard regression models were used to assess the risk factors associated with mortality. RESULTS: Eight hundred twenty-six consecutive LT recipients were included in the study. The areas under the ROC curve on postoperative days (POD) 5 and 9 for predicting 1-year mortality were 0.712 (95% confidence interval [CI] 0.614-0.811) and 0.682 (95%CI 0.571-0.798), respectively. A cutoff point of 14.5 was obtained for MELD score on POD5 that significantly differentiated between survivors and non-survivors with a sensitivity of 69.8% (95%CI 50.7-83.1) and a specificity of 57.2% (95%CI 50.6-63.6). In the Cox multivariate analysis, factors including MELD score on POD5 (hazard ratio [HR] 1.83, 95%CI 1.07-3.12; P=0.026), pre-transplant MELD (HR 1.064, 95%CI 1.025-1.104; P=0.001) and operation duration (min) (HR 1.004, 95%CI 1.003-1.006; P=0.013) were identified as independent risk factors for predicting overall survival. CONCLUSION: The immediate postoperative MELD scores after LT may be of value in predicting mortality and could be used as a tool for postoperative risk assessment of patients.

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