Literature DB >> 15781792

Impact of donor, technical, and recipient risk factors on survival and quality of life after liver transplantation.

Derek E Moore1, Irene D Feurer, Theodore Speroff, D Lee Gorden, J Kelly Wright, Ravi S Chari, C Wright Pinson.   

Abstract

HYPOTHESIS: Donor, technical, and recipient risk factors cumulatively impact survival and health-related quality of life after liver transplantation.
DESIGN: Retrospective study.
SETTING: Tertiary care center. PATIENTS: A total of 483 adults undergoing primary orthotopic liver transplantation between January 1, 1991, and July 31, 2003. MAIN OUTCOME MEASURES: Graft and patient survival, Karnofsky functional performance scores, Medical Outcomes Study Short Form 36 Health Survey scores, and Psychosocial Adjustment to Illness Scale scores as influenced by potential risk factors including donor age, weight, warm ischemia time, cold ischemia time (CIT), sex, United Network for Organ Sharing (UNOS) status (1 or 2A vs 2B or 3), recipient age and disease, bilirubin level, and creatinine level.
RESULTS: Five-year graft survival was 72% for recipients of donors younger than 60 years and 35% for recipients of donors 60 years and older (P<.001). A CIT of 12 hours or more was associated with shorter 5-year graft survival (71% vs 58%; P = .004). Five-year graft survival for UNOS status 2B or 3 was 71% vs 60% for status 1 or 2A (P = .02). A comparable pattern was seen for patient survival in relation to donor age (P = .003), CIT (P = .005), and urgency status (P = .03). Urgent UNOS status, advanced donor age, and prolonged CIT were independently associated with shorter graft and patient survival (P<.05). Functional performance and health-related quality of life were not affected by donor, recipient, or technical characteristics.
CONCLUSIONS: Combining advanced donor age, urgent status, and prolonged CIT adversely affects graft and patient survival, and the cumulative effects of these risk factors can be modeled to predict posttransplant survival.

Entities:  

Mesh:

Year:  2005        PMID: 15781792     DOI: 10.1001/archsurg.140.3.273

Source DB:  PubMed          Journal:  Arch Surg        ISSN: 0004-0010


  21 in total

1.  Using Bayesian networks to predict survival of liver transplant patients.

Authors:  Nathan Hoot; Dominik Aronsky
Journal:  AMIA Annu Symp Proc       Date:  2005

2.  Societal reintegration following cadaveric orthotopic liver transplantation.

Authors:  Ryan Kelly; Scott Hurton; Subhashini Ayloo; Mathew Cwinn; Sarah De Coutere-Bosse; Michele Molinari
Journal:  Hepatobiliary Surg Nutr       Date:  2016-06       Impact factor: 7.293

Review 3.  Transplant for the very sick: No limitations in donor quality?

Authors:  Jennifer C Lai
Journal:  Liver Transpl       Date:  2017-10       Impact factor: 5.799

4.  Subnormothermic machine perfusion for ex vivo preservation and recovery of the human liver for transplantation.

Authors:  B G Bruinsma; H Yeh; S Ozer; P N Martins; A Farmer; W Wu; N Saeidi; S Op den Dries; T A Berendsen; R N Smith; J F Markmann; R J Porte; M L Yarmush; K Uygun; M-L Izamis
Journal:  Am J Transplant       Date:  2014-04-23       Impact factor: 8.086

Review 5.  Using old liver grafts for liver transplantation: where are the limits?

Authors:  Carlos Jiménez-Romero; Oscar Caso Maestro; Félix Cambra Molero; Iago Justo Alonso; Cristina Alegre Torrado; Alejandro Manrique Municio; Jorge Calvo Pulido; Carmelo Loinaz Segurola; Enrique Moreno González
Journal:  World J Gastroenterol       Date:  2014-08-21       Impact factor: 5.742

6.  Determination and extension of the limits to static cold storage using subnormothermic machine perfusion.

Authors:  Bote G Bruinsma; Tim A Berendsen; Maria-Louisa Izamis; Martin L Yarmush; Korkut Uygun
Journal:  Int J Artif Organs       Date:  2013-10-02       Impact factor: 1.595

7.  Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation.

Authors:  Lawrence Lau; Yamuna Kankanige; Benjamin Rubinstein; Robert Jones; Christopher Christophi; Vijayaragavan Muralidharan; James Bailey
Journal:  Transplantation       Date:  2017-04       Impact factor: 4.939

Review 8.  [Long-term results after liver transplantation].

Authors:  H Schrem; N Till; T Becker; H Bektas; M P Manns; C P Strassburg; J Klempnauer
Journal:  Chirurg       Date:  2008-02       Impact factor: 0.955

9.  Long-term results using old liver grafts for transplantation: sexagenerian versus liver donors older than 70 years.

Authors:  Carlos Jiménez-Romero; Marta Clemares-Lama; Alejandro Manrique-Municio; Alvaro García-Sesma; Jorge Calvo-Pulido; Enrique Moreno-González
Journal:  World J Surg       Date:  2013-09       Impact factor: 3.352

Review 10.  Expanded criteria donors.

Authors:  Sandy Feng; Jennifer C Lai
Journal:  Clin Liver Dis       Date:  2014-08       Impact factor: 6.126

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