Literature DB >> 32732837

Minimizing Risks of Liver Transplantation With Steatotic Donor Livers by Preferred Recipient Matching.

Kyle R Jackson1, Jennifer D Motter1, Christine E Haugen1, Jane J Long1, Betsy King1, Benjamin Philosophe1, Allan B Massie1, Andrew M Cameron1, Jacqueline Garonzik-Wang1, Dorry L Segev1,2,3.   

Abstract

BACKGROUND: Donor livers with ≥30% macrosteatosis (steatotic livers) represent a possible expansion to the donor pool, but are frequently discarded as they are associated with an increased risk of mortality and graft loss. We hypothesized that there are certain recipient phenotypes that would tolerate donor steatosis well, and are therefore best suited to receive these grafts.
METHODS: Using national registry data from the Scientific Registry of Transplant Recipients between 2006 and 2017, we compared 2048 liver transplant recipients of steatotic livers with 69 394 recipients of nonsteatotic (<30%) livers. We identified recipient factors that amplified the impact of donor steatosis on mortality and graft loss using interaction analysis, classifying recipients without these factors as preferred recipients. We compared mortality and graft loss with steatotic versus nonsteatotic livers in preferred and nonpreferred recipients using Cox regression.
RESULTS: Preferred recipients of steatotic livers were determined to be first-time recipients with a model for end-stage liver disease 15-34, without primary biliary cirrhosis, and not on life support before transplant. Preferred recipients had no increased mortality risk (hazard ratio [HR]: 0.921.041.16; P = 0.5) or graft loss (HR: 0.931.031.15; P = 0.5) with steatotic versus nonsteatotic livers. Conversely, nonpreferred recipients had a 41% increased mortality risk (HR: 1.171.411.70; P < 0.001) and 39% increased risk of graft loss (HR: 1.161.391.66; P < 0.001) with steatotic versus nonsteatotic livers.
CONCLUSIONS: The risks of liver transplantation with steatotic donor livers could be minimized by appropriate recipient matching.

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Year:  2020        PMID: 32732837      PMCID: PMC7237292          DOI: 10.1097/TP.0000000000003052

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   5.385


  28 in total

Review 1.  Should donors and recipients be matched in liver transplantation?

Authors:  Patrizia Burra; Robert J Porte
Journal:  J Hepatol       Date:  2006-07-31       Impact factor: 25.083

2.  Declining liver graft quality threatens the future of liver transplantation in the United States.

Authors:  Eric S Orman; Maria E Mayorga; Stephanie B Wheeler; Rachel M Townsley; Hector H Toro-Diaz; Paul H Hayashi; A Sidney Barritt
Journal:  Liver Transpl       Date:  2015-08       Impact factor: 5.799

3.  The use of marginal grafts in liver transplantation.

Authors:  Koji Hashimoto; Charles Miller
Journal:  J Hepatobiliary Pancreat Surg       Date:  2008-04-06

4.  Trends in Obesity Among Adults in the United States, 2005 to 2014.

Authors:  Katherine M Flegal; Deanna Kruszon-Moran; Margaret D Carroll; Cheryl D Fryar; Cynthia L Ogden
Journal:  JAMA       Date:  2016-06-07       Impact factor: 56.272

Review 5.  Liver Transplantation Today: Where We Are Now and Where We Are Going.

Authors:  Adam S Bodzin; Talia B Baker
Journal:  Liver Transpl       Date:  2018-10       Impact factor: 5.799

Review 6.  Steatosis in Liver Transplantation: Current Limitations and Future Strategies.

Authors:  Ivan Linares; Matyas Hamar; Nazia Selzner; Markus Selzner
Journal:  Transplantation       Date:  2019-01       Impact factor: 4.939

7.  Minimizing Risk Associated With Older Liver Donors by Matching to Preferred Recipients: A National Registry and Validation Study.

Authors:  Christine E Haugen; Alvin G Thomas; Jacqueline Garonzik-Wang; Allan B Massie; Dorry L Segev
Journal:  Transplantation       Date:  2018-09       Impact factor: 4.939

8.  Hepatic steatosis is not always a contraindication for cadaveric liver transplantation.

Authors:  Jan P Deroose; Geert Kazemier; Pieter Zondervan; Jan N M Ijzermans; Herold J Metselaar; Ian P J Alwayn
Journal:  HPB (Oxford)       Date:  2011-04-07       Impact factor: 3.647

Review 9.  Big data in organ transplantation: registries and administrative claims.

Authors:  A B Massie; L M Kucirka; L M Kuricka; D L Segev
Journal:  Am J Transplant       Date:  2014-08       Impact factor: 8.086

Review 10.  Matching donor to recipient in liver transplantation: Relevance in clinical practice.

Authors:  Mettu Srinivas Reddy; Joy Varghese; Jayanthi Venkataraman; Mohamed Rela
Journal:  World J Hepatol       Date:  2013-11-27
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Authors:  Seren M Gedallovich; Daniela P Ladner; Lisa B VanWagner
Journal:  Hepatobiliary Surg Nutr       Date:  2022-06       Impact factor: 8.265

2.  Impact of living donor liver with steatosis and idiopathic portal inflammation on clinical outcomes in pediatric liver transplantation: Beijing experience.

Authors:  Yafei He; Xinyan Zhao; Jimin Liu; Qian Zhang; Liwei Liu; Wei Qu; Ying Liu; Zhigui Zeng; Haiming Zhang; Jidong Jia; Liying Sun; Lin Wei; Zhijun Zhu
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3.  A Novel Digital Algorithm for Identifying Liver Steatosis Using Smartphone-Captured Images.

Authors:  Katherine Xu; Siavash Raigani; Angela Shih; Sofia G Baptista; Ivy Rosales; Nicola M Parry; Stuti G Shroff; Joseph Misdraji; Korkut Uygun; Heidi Yeh; Katherine Fairchild; Leigh Anne Dageforde
Journal:  Transplant Direct       Date:  2022-08-04

4.  A Clinical Tool to Guide Selection and Utilization of Marginal Donor Livers With Graft Steatosis in Liver Transplantation.

Authors:  Justin A Steggerda; Daniel Borja-Cacho; Todd V Brennan; Tsuyoshi Todo; Nicholas N Nissen; Matthew B Bloom; Andrew S Klein; Irene K Kim
Journal:  Transplant Direct       Date:  2022-01-13

5.  A proof of concept study on real-time LiMAx CYP1A2 liver function assessment of donor grafts during normothermic machine perfusion.

Authors:  Ivo J Schurink; Jubi E de Haan; Jorke Willemse; Matteo Mueller; Michael Doukas; Henk Roest; Femke H C de Goeij; Wojciech G Polak; Jan N M Ijzermans; Philipp Dutkowski; Luc J W van der Laan; Jeroen de Jonge
Journal:  Sci Rep       Date:  2021-12-06       Impact factor: 4.379

  5 in total

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