Literature DB >> 26626641

Early allograft dysfunction after liver transplantation: an intermediate outcome measure for targeted improvements.

David D Lee1, Kristopher P Croome1, Jefree A Shalev1, Kaitlyn R Musto1, Meenu Sharma1, Andrew P Keaveny1, C Burcin Taner1.   

Abstract

BACKGROUND: The term early allograft dysfunction (EAD) identifies liver transplant (LT) allografts with initial poor function and portends poor allograft and patient survival. Aims of this study are to use EAD as an intermediate outcome measure in a large single center cohort and identify donor, recipient and peri-operative risk factors.
MATERIAL AND METHODS: In 1950 consecutive primary LT, donor, recipient and peri-operative data were collected. EAD was defined by the presence of one or more of the following: total bilirubin ≥ 10 mg/dL (171 μmol/L) or, INR ≥ 1.6 on day 7, and ALT/AST > 2,000 IU/L within the first 7 days.
RESULTS: The incidence of EAD was 26.5%. 1-, 3-, and 5-year allograft and patient survival for patients who developed EAD were significantly inferior to those who did not (P < 0.01 at all time points). Multivariate analysis demonstrated associations in the development of EAD with recipient pre-operative ventilator status, donation after cardiac death allografts, donor age, allograft size, degree of steatosis, operative time and intra-operative transfusion requirements (all P < 0.01). Patients with EAD had a significantly longer hospitalization at 20.9 ± 38.9 days (median: 9; range: 4-446) compared with 10.7 ± 13.5 days (median: 7; range: 3-231) in patients with no EAD (P < 0.01).
CONCLUSIONS: This is the largest single center experience demonstrating incidence of EAD and identifying factors associated with development of EAD. EAD is a useful intermediate outcome measure for allograft and patient survival. Balancing recipient pretransplant conditions, donor risk factors and intra-operative conditions are necessary for avoiding EAD.

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Year:  2016        PMID: 26626641     DOI: 10.5604/16652681.1184212

Source DB:  PubMed          Journal:  Ann Hepatol        ISSN: 1665-2681            Impact factor:   2.400


  31 in total

1.  A panel of biomarkers in the prediction for early allograft dysfunction and mortality after living donor liver transplantation.

Authors:  Hsin-I Tsai; Chi-Jen Lo; Chao-Wei Lee; Jr-Rung Lin; Wei-Chen Lee; Hung-Yao Ho; Chia-Yi Tsai; Mei-Ling Cheng; Huang-Ping Yu
Journal:  Am J Transl Res       Date:  2021-01-15       Impact factor: 4.060

Review 2.  Gastric Bypass and Influence on Improvement of NAFLD.

Authors:  Vamsi Alli; Ann M Rogers
Journal:  Curr Gastroenterol Rep       Date:  2017-06

3.  Evaluation of Early Allograft Function Using the Liver Graft Assessment Following Transplantation Risk Score Model.

Authors:  Vatche G Agopian; Michael P Harlander-Locke; Daniela Markovic; Wethit Dumronggittigule; Victor Xia; Fady M Kaldas; Ali Zarrinpar; Hasan Yersiz; Douglas G Farmer; Jonathan R Hiatt; Ronald W Busuttil
Journal:  JAMA Surg       Date:  2018-05-01       Impact factor: 14.766

4.  Association between the donor to recipient ICG-PDR variation rate and the functional recovery of the graft after orthotopic liver transplantation: A case series.

Authors:  Vittorio Cherchi; Luigi Vetrugno; Giovanni Terrosu; Victor Zanini; Marco Ventin; Riccardo Pravisani; Francesco Tumminelli; Pier Paolo Brollo; Erica Boscolo; Roberto Peressutti; Dario Lorenzin; Tiziana Bove; Andrea Risaliti; Umberto Baccarani
Journal:  PLoS One       Date:  2021-08-27       Impact factor: 3.240

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.  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

8.  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

9.  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

10.  Early Allograft Dysfunction Increases Hospital Associated Costs After Liver Transplantation-A Propensity Score-Matched Analysis.

Authors:  Simon Moosburner; Igor M Sauer; Frank Förster; Thomas Winklmann; Joseph Maria George Vernon Gassner; Paul V Ritschl; Robert Öllinger; Johann Pratschke; Nathanael Raschzok
Journal:  Hepatol Commun       Date:  2020-12-05
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