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Selected liver grafts from donation after circulatory death can be safely used for retransplantation - a multicenter retrospective study.

Marjolein van Reeven | Otto B van Leeuwen | Danny van der Helm | Sarwa Darwish Murad | Aad P van den Berg | Bart van Hoek | Ian P J Alwayn | Wojciech G Polak | Robert J Porte
Transplant international : official journal of the European Society for Organ Transplantation | 2020

Due to the growing number of liver transplantations (LTs), there is an increasing number of patients requiring retransplantation (reLT). Data on the use of grafts from extended criteria donors (ECD), especially donation after circulatory death (DCD), for reLT are lacking. We aimed to assess the outcome of patients undergoing reLT using a DCD graft in the Netherlands between 2001 and July 2018. Propensity score matching was used to match each DCD-reLT with three DBD-reLT cases. Primary outcomes were patient and graft survival. Secondary outcome was the incidence of biliary complications, especially nonanastomotic strictures (NAS). 21 DCD-reLT were compared with 63 matched DBD-reLTs. Donors in the DCD-reLT group had a significantly lower BMI (22.4 vs. 24.7 kg/m2 , P-value = 0.02). Comparison of recipient demographics and ischemia times yielded no significant differences. Patient and graft survival rates were comparable between the two groups. However, the occurrence of nonanastomotic strictures after DCD-reLT was significantly higher (38.1% vs. 12.7%, P-value = 0.02). ReLT with DCD grafts does not result in inferior patient and graft survival compared with DBD grafts in selected patients. Therefore, DCD liver grafts should not routinely be declined for patients awaiting reLT.

Pubmed ID: 32065433

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MatchIt (tool)

RRID:SCR_025618

Software R package to select matched samples of original treated and control groups with similar covariate distributions. Can be used to match exactly on covariates, to match on propensity scores, or perform variety of other matching procedures. Nonparametric preprocessing for parametric causal inference.

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