Literature DB >> 22775308

Dynamic changes in MELD score not only predict survival on the waiting list but also overall survival after liver transplantation.

Georg P Györi1, Gerd R Silberhumer, Sonja Zehetmayer, Barbara Kern, Hubert Hetz, Thomas Soliman, Rudolf Steininger, Ferdinand Mühlbacher, Gabriela A Berlakovich.   

Abstract

The predictive value of MELD score for post-transplant survival has been under constant debate since its implementation in 2001. Aim of this study was to assess the impact of alterations in MELD score throughout waiting time (WT) on post-transplant survival. A single-centre retrospective analysis of 1125 consecutive patients listed for liver transplantation between 1997 and 2009 was performed. The impact of MELD score and dynamic changes in MELD score (DeltaMELD), as well as age, sex, year of listing and WT were evaluated on waiting list mortality and post-transplant survival. In this cohort, 539 (60%) patients were transplanted, 223 (25%) died on list and 142 (15%) were removed from the waiting list during WT. One-, three- and five-year survival after liver transplantation were 83%, 78% and 76% respectively. DeltaMELD as a continuous variable proved to be the only significant risk factor for overall survival after liver transplantation (hazard ratio (HR): 1.06, 95% confidence interval (CI) 1.02-1.1, P = 0.013). The highest risk of post-transplant death could be defined for patients with a DeltaMELD > 10 (HR: 4.87, 95% CI 2.09-11.35, P < 0.0001). In addition, DeltaMELD as well as MELD at listing showed a significant impact on waiting list mortality. DeltaMELD may provide an easy evaluation tool to identify patients on the liver transplant waiting list with a high mortality risk after transplantation in the current setting. Temporarily withholding and re-evaluating these patients might improve overall outcome after liver transplantation.
© 2012 The Authors. Transplant International © 2012 European Society for Organ Transplantation.

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Year:  2012        PMID: 22775308     DOI: 10.1111/j.1432-2277.2012.01519.x

Source DB:  PubMed          Journal:  Transpl Int        ISSN: 0934-0874            Impact factor:   3.782


  11 in total

1.  Delta MELD as a predictor of early outcome in adult-to-adult living donor liver transplantation.

Authors:  Şencan Acar; Murat Akyıldız; Ahmet Gürakar; Yaman Tokat; Murat Dayangaç
Journal:  Turk J Gastroenterol       Date:  2020-11       Impact factor: 1.852

Review 2.  Model for End-stage Liver Disease.

Authors:  Ashwani K Singal; Patrick S Kamath
Journal:  J Clin Exp Hepatol       Date:  2012-12-01

3.  A novel prognostic score for acute-on-chronic hepatitis B liver failure.

Authors:  Zhao-Quan Yi; Meng-Hou Lu; Xu-Wen Xu; Xiao-Yu Fu; De-Ming Tan
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2015-02-12

4.  The role of TIPS in the management of liver transplant candidates.

Authors:  Lukas W Unger; Theresa Stork; Theresa Bucsics; Susanne Rasoul-Rockenschaub; Katharina Staufer; Michael Trauner; Svenja Maschke; Max Pawloff; Thomas Soliman; Thomas Reiberger; Gabriela A Berlakovich
Journal:  United European Gastroenterol J       Date:  2017-04-07       Impact factor: 4.623

5.  The liver transplant risk score prognosticates the outcomes of liver transplant recipients at listing.

Authors:  Christof Kaltenmeier; Dana Jorgensen; Stalin Dharmayan; Subhashini Ayloo; Vikrant Rachakonda; David A Geller; Samer Tohme; Michele Molinari
Journal:  HPB (Oxford)       Date:  2020-11-11       Impact factor: 3.647

6.  Prediction of Perioperative Mortality of Cadaveric Liver Transplant Recipients During Their Evaluations.

Authors:  Michele Molinari; Subhashini Ayloo; Allan Tsung; Dana Jorgensen; Amit Tevar; Sheikh Hasibur Rahman; Naudia Jonassaint
Journal:  Transplantation       Date:  2019-10       Impact factor: 4.939

7.  Pre-Operative Delta-MELD is an Independent Predictor of Higher Mortality following Liver Transplantation.

Authors:  George Cholankeril; Andrew A Li; Brittany B Dennis; Chiranjeevi Gadiparthi; Donghee Kim; Alice E Toll; Benedict J Maliakkal; Sanjaya K Satapathy; Satheesh Nair; Aijaz Ahmed
Journal:  Sci Rep       Date:  2019-06-05       Impact factor: 4.379

8.  The von Willebrand Factor Facilitates Model for End-Stage Liver Disease-Independent Risk Stratification on the Waiting List for Liver Transplantation.

Authors:  Georg P Györi; David Pereyra; Benedikt Rumpf; Hubert Hackl; Christoph Köditz; Gregor Ortmayr; Thomas Reiberger; Michael Trauner; Gabriela A Berlakovich; Patrick Starlinger
Journal:  Hepatology       Date:  2020-04-23       Impact factor: 17.425

9.  Preoperative Stratification of Liver Transplant Recipients: Validation of the LTRS.

Authors:  Michele Molinari; Dana Jorgensen; Subhashini Ayloo; Stalin Dharmayan; Christof Kaltenmeier; Rajil B Mehta; Naudia Jonassaint
Journal:  Transplantation       Date:  2020-12       Impact factor: 5.385

10.  Use of rapid Model for End-Stage Liver Disease (MELD) increases for liver transplant registrant prioritization after MELD-Na and Share 35, an evaluation using data from the United Network for Organ Sharing.

Authors:  Guy N Brock; Kenneth Washburn; Michael R Marvin
Journal:  PLoS One       Date:  2019-10-03       Impact factor: 3.240

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