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Matching Graft Quality to Recipient’s Disease Severity Based on the Survival Benefit in Liver Transplantation

Abstract : Persistent shortage and heterogeneous quality of liver grafts encourages the optimization of donor-recipient matching in liver transplantation (LT). We explored whether or not there was a survival benefit (SB) of LT according to the quality of grafts assessed by the Donor Quality Index (DQI) and recipients' disease severity, using the Model for End-Stage Liver Disease (MELD) in 8387 French patients wait-listed between 2009 and 2014. SB associated with LT was estimated using the sequential stratification method in different categories of MELD and DQI. For each transplantation, a stratum was created that matched one transplanted patient with all eligible control candidates. Strata were thereafter combined, and a stratified Cox model, adjusted for covariates, was fitted in order to estimate hazard ratios that qualified the SB according to each MELD and DQI sub-group. A significant SB was observed for all MELD and DQI sub-groups, with the exception of high MELD patients transplanted with "high-risk" grafts. More specifically, in decompensated-cirrhosis patients, "high-risk" grafts did not appear to be detrimental in medium MELD patients. Interestingly, in hepatocellular-carcinoma (HCC) patients, a significant SB was found for all MELD-DQI combinations. For MELD exceptions no SB was found. In terms of SB, "low-risk" grafts appeared appropriate for most severe patients (MELD > 30). Conversely, low/medium MELD and HCC patients presented an SB while allocated "high-risk" grafts. Thus, SB based matching rules for LT candidates might improve the survival of the LT population as a whole.
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Submitted on : Tuesday, March 10, 2020 - 3:59:04 PM
Last modification on : Tuesday, March 15, 2022 - 9:39:41 AM


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Audrey Winter, Cyrille Féray, Corinne Antoine, Daniel Azoulay, Jean-Pierre Daurès, et al.. Matching Graft Quality to Recipient’s Disease Severity Based on the Survival Benefit in Liver Transplantation. Scientific Reports, Nature Publishing Group, 2020, 10 (1), pp.4111. ⟨10.1038/s41598-020-60973-9⟩. ⟨inserm-02504297⟩



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