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- W3150410118 abstract "Introduction: Liver grafts are a scarce resource. Both medical urgency and expected post-transplant outcomes should be considered when allocating livers for transplantation. For allocation decisions, it is important to identify variables known at the time of liver allocation that may affect transplant outcomes. Method: Recipient and donor data from the Australia and New Zealand Liver Transplant Registry from January 1998 to May 2019 were used. All interactions between donor and recipient variables were included. The outcome was graft failure, including patient death. Penalised regression with elastic net analysis was performed to select variables for the final multivariable Cox model. The c-statistic was used to assess score discrimination. Results: 3734 patients were included, with 636 graft failures. 714 recipient, donor and interaction variables were considered, with 35 variables selected using elastic net for the multivariable Cox model. Variables with the largest hazard ratios were transplant for liver tumour other than hepatocellular cancer (HR 2.47, 95% CI 1.33-4.61) , retransplant with a donation after cardiac death donor (HR 2.08, CI 1.38-3.13) and split-liver graft (HR 1.5, CI 1.11-1.95). Internal validation on the same data used for model creation resulted in a c-statistic of 0.72. Conclusions: Prediction of post-transplant outcomes from only variables known at the time of liver allocation is challenging. Further improvements are needed in the context of the prioritisation of patients for transplantation." @default.
- W3150410118 created "2021-04-13" @default.
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- W3150410118 date "2021-01-01" @default.
- W3150410118 modified "2023-10-12" @default.
- W3150410118 title "Can Post-Transplant Outcomes Predicted at the Time of Liver Graft Allocation?" @default.
- W3150410118 doi "https://doi.org/10.1016/j.hpb.2020.11.1043" @default.
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