Loading…

D‐MELD, a Simple Predictor of Post Liver Transplant Mortality for Optimization of Donor/Recipient Matching

Numerous donor and recipient risk factors interact to influence the probability of survival after liver transplantation. We developed a statistic, D‐MELD, the product of donor age and preoperative MELD, calculated from laboratory values. Using the UNOS STAR national transplant data base, we analyzed...

Full description

Saved in:
Bibliographic Details
Published in:American journal of transplantation 2009-02, Vol.9 (2), p.318-326
Main Authors: Halldorson, J. B., Bakthavatsalam, R., Fix, O., Reyes, J. D., Perkins, J. D.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Numerous donor and recipient risk factors interact to influence the probability of survival after liver transplantation. We developed a statistic, D‐MELD, the product of donor age and preoperative MELD, calculated from laboratory values. Using the UNOS STAR national transplant data base, we analyzed survival for first liver transplant recipients with chronic liver failure from deceased after brain death donors. Preoperative D‐MELD score effectively stratified posttransplant survival. Using a cutoff D‐MELD score of 1600, we defined a subgroup of donor–recipient matches with significantly poorer short‐ and long‐term outcomes as measured by survival and length of stay (LOS). Avoidance of D‐MELD scores above 1600 improved results for subgroups of high‐risk patients with donor age ≥60 and those with preoperative MELD ≥30. D‐MELD ≥1600 accurately predicted worse outcome in recipients with and without hepatitis C. There is significant regional variation in average D‐MELD scores at transplant, however, regions with larger numbers of high D‐MELD matches do not have higher survival rates. D‐MELD is a simple, highly predictive tool for estimating outcomes after liver transplantation. This statistic could assist surgeons and their patients in making organ acceptance decisions. Applying D‐MELD to liver allocation could eliminate many donor/recipient matches likely to have inferior outcome. This study of UNOS data developed a simple statistic, D‐MELD, for stratifying survival after liver transplantation and its potential application for allocation to improve donor/recipient matching.
ISSN:1600-6135
1600-6143
DOI:10.1111/j.1600-6143.2008.02491.x