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DOI 10.1111/liv.12443

Медицинская библиотека · Liver international : official journal of the International Association for the Study of the Liver · 2014

Donor information based prediction of early allograft dysfunction and outcome in liver transplantation.

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

СтатьяВалидационное исследованиеПеревод пока не подготовлен

Аннотация

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.

Для цитирования: 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. Donor information based prediction of early allograft dysfunction and outcome in liver transplantation.. Liver international : official journal of the International Association for the Study of the Liver. 2014. DOI: 10.1111/liv.12443.

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