Comparison of Different Scoring Systems Based on Both Donor and Recipient Characteristics for Predicting Outcome after Living Donor Liver Transplantation

PLoS One. 2015 Sep 17;10(9):e0136604. doi: 10.1371/journal.pone.0136604. eCollection 2015.

Abstract

Background and objectives: In order to provide a good match between donor and recipient in liver transplantation, four scoring systems [the product of donor age and Model for End-stage Liver Disease score (D-MELD), the score to predict survival outcomes following liver transplantation (SOFT), the balance of risk score (BAR), and the transplant risk index (TRI)] based on both donor and recipient parameters were designed. This study was conducted to evaluate the performance of the four scores in living donor liver transplantation (LDLT) and compare them with the MELD score.

Patients and methods: The clinical data of 249 adult patients undergoing LDLT in our center were retrospectively evaluated. The area under the receiver operating characteristic curves (AUCs) of each score were calculated and compared at 1-, 3-, 6-month and 1-year after LDLT.

Results: The BAR at 1-, 3-, 6-month and 1-year after LDLT and the D-MELD and TRI at 1-, 3- and 6-month after LDLT showed acceptable performances in the prediction of survival (AUC>0.6), while the SOFT showed poor discrimination at 6-month after LDLT (AUC = 0.569). In addition, the D-MELD and BAR displayed positive correlations with the length of ICU stay (D-MELD, p = 0.025; BAR, p = 0.022). The SOFT was correlated with the time of mechanical ventilation (p = 0.022).

Conclusion: The D-MELD, BAR and TRI provided acceptable performance in predicting survival after LDLT. However, even though these scoring systems were based on both donor and recipient parameters, only the BAR provided better performance than the MELD in predicting 1-year survival after LDLT.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • End Stage Liver Disease / surgery
  • Family
  • Female
  • Graft Survival
  • Humans
  • Liver / pathology
  • Liver / surgery
  • Liver Transplantation / mortality*
  • Living Donors*
  • Male
  • Patient Outcome Assessment
  • Prognosis
  • Retrospective Studies
  • Risk Assessment / methods
  • Severity of Illness Index*
  • Tissue Donors*
  • Transplant Recipients*

Grants and funding

This work was supported by a grant from the National Science and Technology Major Project of China (grant No. 2012ZX10002-016) [http://www.most.gov.cn/].