z-logo
Premium
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
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 .

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom