Literature DB >> 24351095

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

Dieter P Hoyer1, Andreas Paul, Anja Gallinat, Ernesto P Molmenti, Renate Reinhardt, Thomas Minor, Fuat H Saner, Ali Canbay, Jürgen W Treckmann, Georgios C Sotiropoulos, Zoltan Mathé.   

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.
© 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  donor risk factors; early allograft dysfunction; liver transplantation; multivariable analysis; scoring system

Mesh:

Substances:

Year:  2014        PMID: 24351095     DOI: 10.1111/liv.12443

Source DB:  PubMed          Journal:  Liver Int        ISSN: 1478-3223            Impact factor:   5.828


  22 in total

1.  Graft Reconditioning before Liver Transplantation.

Authors:  Dieter P Hoyer; Thomas Minor
Journal:  Visc Med       Date:  2016-07-29

2.  Clear mortality gap caused by graft macrosteatosis in Chinese patients after cadaveric liver transplantation.

Authors:  Zhengtao Liu; Wenchao Wang; Li Zhuang; Jingfeng Liu; Shuping Que; Dan Zhu; Linfang Dong; Jian Yu; Lin Zhou; Shusen Zheng
Journal:  Hepatobiliary Surg Nutr       Date:  2020-12       Impact factor: 7.293

3.  High visceral adipose tissue area is independently associated with early allograft dysfunction in liver transplantation recipients: a propensity score analysis.

Authors:  Guanjie Yuan; Shichao Li; Ping Liang; Gen Chen; Yan Luo; Yaqi Shen; Xuemei Hu; Daoyu Hu; Jiali Li; Zhen Li
Journal:  Insights Imaging       Date:  2022-10-11

Review 4.  Conceptual changes in small-for-size graft and small-for-size syndrome in living donor liver transplantation.

Authors:  Toru Ikegami; Jong Man Kim; Dong-Hwan Jung; Yuji Soejima; Dong-Sik Kim; Jae-Won Joh; Sung-Gyu Lee; Tomoharu Yoshizumi; Masaki Mori
Journal:  Korean J Transplant       Date:  2019-12-31

5.  The Macrophage Activation Marker Soluble CD163 is Associated With Early Allograft Dysfunction After Liver Transplantation.

Authors:  Karen L Thomsen; Francis P Robertson; Peter Holland-Fischer; Brian R Davidson; Rajeshwar P Mookerjee; Holger J Møller; Rajiv Jalan; Henning Grønbæk
Journal:  J Clin Exp Hepatol       Date:  2018-10-05

6.  Severity of early allograft dysfunction following donation after circulatory death liver transplantation: a multicentre study.

Authors:  Kun Wang; Di Lu; Yuhui Liu; Wangyao Li; Li Zhuang; Zhenyu Ma; Qinfen Xie; Binhua Pan; Yichao Wu; Junli Chen; Lidan Lin; Xiaowen Feng; Qiang Wei; Xuyong Wei; Haiyang Xie; Zhengxin Wang; Shusen Zheng; Xiao Xu
Journal:  Hepatobiliary Surg Nutr       Date:  2021-01       Impact factor: 7.293

7.  MicroRNA-146b-5p Identified in Porcine Liver Donation Model is Associated with Early Allograft Dysfunction in Human Liver Transplantation.

Authors:  Cheukfai Li; Qiang Zhao; Wei Zhang; Maogen Chen; Weiqiang Ju; Linwei Wu; Ming Han; Yi Ma; Xiaofeng Zhu; Dongping Wang; Zhiyong Guo; Xiaoshun He
Journal:  Med Sci Monit       Date:  2017-12-11

8.  A two-circular RNA signature of donor circFOXN2 and circNECTIN3 predicts early allograft dysfunction after liver transplantation.

Authors:  Kun Wang; Xuyong Wei; Qiang Wei; Di Lu; Wangyao Li; Binhua Pan; Junli Chen; Haiyang Xie; Shusen Zheng; Xiao Xu
Journal:  Ann Transl Med       Date:  2020-02

9.  Rotational thromboelastometry (ROTEM) 24 hours post liver transplantation predicts early allograft dysfunction.

Authors:  Dana Tomescu; Mihai Popescu; Simona Olimpia Dima
Journal:  Rom J Anaesth Intensive Care       Date:  2018-10

10.  Early Allograft Dysfunction After Liver Transplantation With Donation After Circulatory Death and Brain Death Grafts: Does the Donor Type Matter?

Authors:  Laura Ioana Mazilescu; Sreelakshmi Kotha; Anand Ghanekar; Leslie Lilly; Trevor W Reichman; Zita Galvin; Mark S Cattral; Mamatha Bhat; Ian D McGilvray; Gonzalo Sapisochin; Blayne Sayed; Markus Selzner; Nazia Selzner
Journal:  Transplant Direct       Date:  2021-07-16
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