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Donor information based prediction of early allograft dysfunction and outcome in liver transplantation
Author(s) -
Hoyer Dieter P.,
Paul Andreas,
Gallinat Anja,
Molmenti Ernesto P.,
Reinhardt Renate,
Minor Thomas,
Saner Fuat H.,
Canbay Ali,
Treckmann Jürgen W.,
Sotiropoulos Georgios C.,
Mathé Zoltan
Publication year - 2015
Publication title -
liver international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.873
H-Index - 110
eISSN - 1478-3231
pISSN - 1478-3223
DOI - 10.1111/liv.12443
Subject(s) - medicine , liver transplantation , confounding , logistic regression , body mass index , proportional hazards model , transplantation , gastroenterology , surgery
Abstract Background & Aims Poor initial graft function was recently newly defined as early allograft dysfunction ( EAD ) [Olthoff KM, Kulik L, Samstein B, et al . Validation of a current definition of early allograft dysfunction in liver transplant recipients and analysis of risk factors. Liver Transpl 2010; 16: 943]. Aim of this analysis was to evaluate predictive donor information for development of EAD . Methods Six hundred and seventy‐eight consecutive adult patients (mean age 51.6 years; 60.3% men) who received a primary liver transplantation ( LT ) (09/2003–12/2011) were included. Standard donor data were correlated with EAD and outcome by univariable/multivariable logistic regression and Cox proportional hazards to identify prognostic donor factors after adjustment for recipient confounders. Estimates of relevant factors were utilized for construction of a new continuous risk index to develop EAD . Results 38.7% patients developed EAD. 30‐day survival of grafts with and without EAD was 59.8% and 89.7% ( P < 0.0001). 30‐day survival of patients with and without EAD was 68.5% and 93.1% ( P < 0.0001) respectively. Donor body mass index ( P = 0.0112), gGT ( P = 0.0471), macrosteatosis ( P = 0.0006) and cold ischaemia time (CIT) ( P = 0.0031) were predictors of EAD. Internal cross validation showed a high predictive value ( c ‐index = 0.622). Conclusions Early allograft dysfunction correlates with early results of LT and can be predicted by donor data only. The newly introduced risk index potentially optimizes individual decisions to accept/decline high risk organs. Outcome of these organs might be improved by shortening CIT .