Application of postoperative model for end-stage liver disease scoring system for evaluating liver graft function after living donor liver transplantation

T. Toshima, T. Ikegami, K. Kimura, N. Harimoto, Y. Yamashita, T. Yoshizumi, Y. Soejima, T. Ikeda, K. Shirabe, Y. Maehara

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11 Citations (Scopus)

Abstract

Background The Model for End-Stage Liver Disease (MELD) score has been validated to predict the mortality rate of patients with various chronic liver diseases on the waiting list for liver transplantation (LT). The aim of this study was to assess the value of the postoperative MELD scoring system as an early postoperative predictor of outcome in patients undergoing living donor LT (LDLT). Methods A retrospective analysis of 217 adult-to-adult LDLT patients was performed. The values of the MELD score on various postoperative days (PODs) as predictors of graft loss within 6 months after LDLT were examined by calculating the areas under the receiver operating characteristic (AUROC) curves. The 6-months graft survival rates were compared between patients with (n = 22) and without (n = 195) graft loss. Univariate and multivariate analyses were performed to identify the factors associated with mortality. Results The MELD score on POD2 was a predictor of graft loss, with an AUROC c-statistic of 0.779, a specificity of 79.5%, and a sensitivity of 68.2% at optimal cutoff, whereas the preoperative MELD score c-statistic was 0.605 with 44.6% sensitivity. Multivariate analyses for postoperative mortality revealed MELD-POD2 ≥19 (odds ratio, 5.601; 95% confidence interval [CI], 1.395-4.508; P =.0009) as an independent predictor of short-term graft loss following LDLT, in addition to preoperative hospitalization status. Later MELD POD scores were also predictive of graft loss. Conclusions The early postoperative MELD scoring system is feasible as an index for prediction of postoperative mortality following LDLT.

Original languageEnglish
Pages (from-to)81-86
Number of pages6
JournalTransplantation Proceedings
Volume46
Issue number1
DOIs
Publication statusPublished - Jan 2014

All Science Journal Classification (ASJC) codes

  • Surgery
  • Transplantation

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