Mortality while awaiting liver retransplantation: Predictability of MELD scores

K. D.S. Watt, T. Menke, E. Lyden, T. M. McCashland

Research output: Contribution to journalArticle

23 Scopus citations

Abstract

Introduction. Model for End-stage Liver Disease (MELD) scores at the time of listing on the transplant waiting list have been shown to accurately predict 3-month mortality in adults. There is no data assessing the accuracy of the MELD scores in predicting mortality of patients awaiting liver retransplantation. We sought to determine the outcome of patients listed for retransplantation at a single center and the accuracy of MELD scores in predicting mortality on the transplant waiting list. Methods. A retrospective review of adult patients at a single center listed for a second liver transplantation during the years 1993 to 2000. MELD scores and a concordance statistic were calculated at the time of initial listing and initial transplant as well as the time of relisting for a second transplant and at 2, 4, 6, 8, 12, and 24 weeks after relisting. Results. Of the 63 patients in the study, 43 (68%) received a second transplant, and 20 (32%) died while awaiting retransplantation. Of the patients receiving a second transplant, 13 (30%) died within 1 year of receiving the transplant. The most common cause of death on the waiting list was sepsis (50%), hepatorenal syndrome (20%), and multiorgan failure (10%), whereas the majority of deaths posttransplantation were sepsis-related (69%). At the time of relisting the c-statistic for MELD scores predicting death after 1 week on the waiting list was 0.78 (P = .007). After 3 months on the waiting list, the c-stat was largely unchanged (0.76, P = .04). Conclusions. We have shown that MELD scores may predict mortality on the transplant waiting list for patients listed for a second transplant.

Original languageEnglish (US)
Pages (from-to)2172-2173
Number of pages2
JournalTransplantation Proceedings
Volume37
Issue number5
DOIs
StatePublished - Jun 2005

ASJC Scopus subject areas

  • Surgery
  • Transplantation

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