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[摘要]：Background. Prediction of short-term survival probability is important in the selection and allocation of patients for liver transplantation, and the Mayo End-Stage Liver Disease (MELD) score has been used in these contexts. The aim of this study was to develop and validate a model for estimation of short-term prognosis of patients selected for elective liver transplantation in the United Kingdom. Methods. A modeling dataset was based on 1103 adult patients registered for a first elective liver transplant in the United Kingdom between April 1, 2003, and March 31, 2006, and a validation dataset based on 452 patients registered between April 1, 2006, and March 31, 2007. The final model (United Kingdom End-Stage Liver Disease) included international normalized ratio, serum creatinine, bilirubin, and sodium. Results. The model, based on the modeling dataset, accurately predicted mortality on the transplant list in the validation dataset and proved to be a better predictor than MELD or MELD-Na. The United Kingdom End-Stage Liver Disease score was not associated with overall posttransplant survival but was associated with both the duration of intensive care unit stay and overall initial hospital stay. Conclusion. This model, developed specifically for patients awaiting liver transplantation, provides a useful tool for the selection of patients for liver transplantation and the allocation of donor livers. |
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