Literature DB >> 22032173

The influence of laboratory-induced MELD score differences on liver allocation: more reality than myth.

J N Schouten1, S Francque, H Van Vlierberghe, I Colle, F Nevens, J Delwaide, M Adler, P Starkel, D Ysebaert, A Gadisseur, B De Winter, J M Smits, A Rahmel, P Michielsen.   

Abstract

BACKGROUND: Liver allocation in Eurotransplant (ET) is based on the MELD score. Interlaboratory MELD score differences in INR and creatinine determination have been reported. The clinical implication of this observation has not been demonstrated.
METHODS: MELD scores were calculated in 66 patients with liver cirrhosis using bilirubin, creatinine, and INR analyzed in six liver transplant centers. Based on allocation results of ET, patients transplanted from December 2006 to June 2007 were divided according to MELD score in four groups. For each group, the influence of the match MELD on the probability of receiving a transplant was studied (Cox proportional hazards model).
RESULTS: Laboratory-dependent significant differences in MELD score were demonstrated. Cox proportional hazards model showed a significant association between MELD score and the probability of organ allocation. The unadjusted hazard ratio for receiving a liver transplant was significantly different between group 2 and group 4 (group 2: MELD 19-24; group 4: MELD > 30).
CONCLUSION: Laboratory-dependent significant differences in MELD score were observed between the six transplant centers. We demonstrated a significant association between the MELD score and the probability of organ allocation. The observed interlaboratory variation might yield a significant difference in organ allocation in patients with high MELD scores.
© 2011 John Wiley & Sons A/S.

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Year:  2011        PMID: 22032173     DOI: 10.1111/j.1399-0012.2011.01538.x

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


  5 in total

Review 1.  Model for End-stage Liver Disease.

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

2.  Impact of Integrating Insulin-Like Growth Factor 1 Levels into Model for End-Stage Liver Disease Score for Survival Prediction in Hepatocellular Carcinoma Patients.

Authors:  Reham Abdel-Wahab; Manal M Hassan; Bhawana George; Roberto Carmagnani Pestana; Lianchun Xiao; Sahin Lacin; Suayib Yalcin; Ahmed S Shalaby; Humaid O Al-Shamsi; Kanwal Raghav; Robert A Wolff; James C Yao; Lauren Girard; Abedul Haque; Dan G Duda; Simona Dima; Irinel Popescu; Hesham A Elghazaly; Jean-Nicolas Vauthey; Thomas A Aloia; Ching-Wei Tzeng; Yun Shin Chun; Asif Rashid; Jeffrey S Morris; Hesham M Amin; Ahmed O Kaseb
Journal:  Oncology       Date:  2020-10-07       Impact factor: 2.935

3.  Cholesterol esterification in plasma as a biomarker for liver function and prediction of mortality.

Authors:  Thorsten Kaiser; Benedict Kinny-Köster; Michael Bartels; Thomas Berg; Markus Scholz; Cornelius Engelmann; Daniel Seehofer; Susen Becker; Uta Ceglarek; Joachim Thiery
Journal:  BMC Gastroenterol       Date:  2017-04-20       Impact factor: 3.067

4.  Impact of different creatinine measurement methods on liver transplant allocation.

Authors:  Thorsten Kaiser; Benedict Kinny-Köster; Michael Bartels; Tanja Parthaune; Michael Schmidt; Joachim Thiery
Journal:  PLoS One       Date:  2014-02-27       Impact factor: 3.240

5.  Limited comparability of creatinine assays in patients with liver cirrhosis and their impact on the MELD score.

Authors:  Thorsten Kaiser; Benedict Kinny-Köster; Carsten Gnewuch; Diana Karailieva; Michael Kiehntopf; Anja Kessler; Christina Ritter-Sket; Michael Schmidt; Korbinian Brand; Joachim Thiery; Ralf Lichtinghagen
Journal:  Pract Lab Med       Date:  2017-04-14
  5 in total

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