RESUMEN
Backgrounds/Aims: Thirty percent of liver grafts in donors after brain death (DBD) in Spain are rejected by procurement surgeons owing to marginal graft quality. Poor donor indocyanine green (ICG) clearance has been associated with graft discard and malfunction. This study aimed to internally and externally validate the predictive value of ICG-plasma disappearance rate (ICG-PDR) to reject grafts before donation and set a cut-off to avoid missing any potential effective donors. Methods: Between March 2017 and August 2023, ICG clearance test was performed immediately before procurement in 71 DBD. The surgeon was blinded to test results. Univariate and multivariate analyses were performed to detect independent predictors of graft discard. Discrimination and calibration of predictors were assessed and a cut-off with 100% specificity was set. External validation was performed on 17 donors evaluated by three other transplantation teams. Results: In the training cohort, 30 of 71 grafts were discarded for transplantation. ICG-PDR was the only donor variable independently associated with graft discard. The area under receiver operating characteristic curve for ICG-PDR was 0.875 (95% confidence interval: 0.768-0.947) and good calibration was observed. Below a PDR of 13.5%/min, no graft was accepted for transplantation. These results were successfully validated using the external cohort of donors. Conclusions: ICG clearance test performed in DBD was internally and externally validated to predict liver graft discard. It could be used as a screening tool before donation to avoid unnecessary costs of travel and human resources.
RESUMEN
BACKGROUND: The primary goal was to calculate the value of delta Model for End-Stage Liver Disease (D-MELD) and Balance of Risk (BAR) scores in patients who underwent liver transplant. The secondary objective was to evaluate D-MELD and BAR scores' ability to predict patient and graft survival. METHODS: We retrospectively evaluated 336 patients who underwent liver transplant in a tertiary medical center between January 2010 and December 2020. The D-MELD and the BAR scores were evaluated through a receiver operating characteristic curve with the calculation of area under the curve (AUC) to evaluate the predictive score power for 3-month, 6-month, 1-year, and 5-year patient and graft survivals. RESULTS: The AUCs of D-MELD score in predicting 5-year patient and graft survival were 0.506 (95% CI, 0.43-0.57) and 0.49 (95% CI, 0.42-0.56), respectively. The AUCs of BAR score in predicting 5-year patient and graft survival were 0.50 (95% CI, 0.33-0.66) and 0.49 (95% CI, 0.30-0.67), respectively. CONCLUSIONS: We could not confirm the ability to predict long-term survival by using D-MELD and BAR scores in our sample; however, there is a statistically significant trend in receiver operating characteristic curves of 5-year patient and graft survivals. We encourage the use of new scoring systems with a greater external validation to improve allograft allocation.