Literature DB >> 32027405

The proportion of Model for End-stage Liver Disease Sodium score attributable to creatinine independently predicts post-transplant survival and renal complications.

Therese Bittermann1,2, Rebecca A Hubbard3, James D Lewis1,2, David S Goldberg1,2.   

Abstract

The post-transplant outcomes of patients with Model for End-stage Liver Disease (MELD) score primarily driven by renal dysfunction are poorly understood. This was a retrospective cohort study of liver transplant (LT) alone recipients between 2005 and 2017 using the United Network for Organ Sharing (UNOS) database. The proportion of MELD Sodium score attributable to creatinine ("KidneyMELD") was calculated: (9.57 × ln (creatinine) × 100)/(MELD-Na - 6.43). The association of KidneyMELD with (a) all-cause mortality and (b) estimated glomerular filtration rate ≤30 mL/min/1.732 at 1-year post-LT were evaluated. Recipients with KidneyMELD ≥50% had a 52% higher risk of post-LT mortality (adjusted hazard ratio 1.52 vs KidneyMELD 0%, 95% CI: 1.36-1.69; P < .001). This risk was significantly greater for older patients, particularly when >50 years at LT (interaction P < .001). KidneyMELD ≥50% was also associated with an 11-fold increase in the odds of advanced renal dysfunction at 1-year post-LT (adjusted odds ratio 11.53 vs KidneyMELD 0%; 95% CI 8.9-14.93; P < .001). Recipients prioritized for LT primarily on the basis of renal dysfunction have marked post-LT mortality and morbidity independent of MELD Sodium score. The implications of these results in the context of the new UNOS "safety net" kidney transplant policy require further study.
© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  kidney diseases; liver diseases; liver transplantation

Mesh:

Substances:

Year:  2020        PMID: 32027405      PMCID: PMC7092814          DOI: 10.1111/ctr.13817

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  18 in total

1.  Impact of MELD-based allocation on end-stage renal disease after liver transplantation.

Authors:  P Sharma; D E Schaubel; M K Guidinger; N P Goodrich; A O Ojo; R M Merion
Journal:  Am J Transplant       Date:  2011-08-22       Impact factor: 8.086

2.  Association Between Renal Function Pattern and Mortality in Patients With Cirrhosis.

Authors:  Giuseppe Cullaro; Elizabeth C Verna; Jennifer C Lai
Journal:  Clin Gastroenterol Hepatol       Date:  2019-02-01       Impact factor: 11.382

3.  A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts.

Authors:  M Malinchoc; P S Kamath; F D Gordon; C J Peine; J Rank; P C ter Borg
Journal:  Hepatology       Date:  2000-04       Impact factor: 17.425

4.  OPTN/SRTR 2016 Annual Data Report: Liver.

Authors:  W R Kim; J R Lake; J M Smith; D P Schladt; M A Skeans; A M Harper; J L Wainright; J J Snyder; A K Israni; B L Kasiske
Journal:  Am J Transplant       Date:  2018-01       Impact factor: 8.086

5.  End-stage renal disease after liver transplantation in patients with pre-transplant chronic kidney disease.

Authors:  Ranjeeta Bahirwani; Kimberly A Forde; Yifei Mu; Fred Lin; Peter Reese; David Goldberg; Peter Abt; K Rajender Reddy; Matthew Levine
Journal:  Clin Transplant       Date:  2014-01-02       Impact factor: 2.863

6.  Chronic kidney disease and associated mortality after liver transplantation--a time-dependent analysis using measured glomerular filtration rate.

Authors:  Alina M Allen; W Ray Kim; Terry M Therneau; Joseph J Larson; Julie K Heimbach; Andrew D Rule
Journal:  J Hepatol       Date:  2014-04-05       Impact factor: 25.083

7.  Risk of end-stage renal disease among liver transplant recipients with pretransplant renal dysfunction.

Authors:  R Ruebner; D Goldberg; P L Abt; R Bahirwani; M Levine; D Sawinski; R D Bloom; P P Reese
Journal:  Am J Transplant       Date:  2012-07-03       Impact factor: 8.086

8.  Impact of the Model for Endstage Liver Disease score on liver transplantation.

Authors:  James F Trotter
Journal:  Curr Opin Organ Transplant       Date:  2007-06       Impact factor: 2.640

9.  Prediction of GFR in liver transplant candidates.

Authors:  Paul A Skluzacek; Robert G Szewc; Charles R Nolan; Daniel J Riley; Shuko Lee; Pablo E Pergola
Journal:  Am J Kidney Dis       Date:  2003-12       Impact factor: 8.860

10.  Quantifying the Effect of Transplanting Older Donor Livers Into Younger Recipients: The Need for Donor-recipient Age Matching.

Authors:  Therese Bittermann; David S Goldberg
Journal:  Transplantation       Date:  2018-12       Impact factor: 4.939

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  1 in total

Review 1.  Current aspects of renal dysfunction after liver transplantation.

Authors:  Mariana P Pacheco; Luiz Augusto Carneiro-D'Albuquerque; Daniel F Mazo
Journal:  World J Hepatol       Date:  2022-01-27
  1 in total

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