Is the model of end-stage liver disease (MELD) valid in Israel? A critical analysis of liver transplant waiting list mortality.
BACKGROUND
The model for end-stage liver disease is the best available predictor of waiting list mortality among liver transplant candidates.


OBJECTIVE
To validate the applicability of MELD in Israel.


METHODS
All candidates awaiting liver transplantation in our institution were followed prospectively since 2002. We measured the concordance (c-statistic) equivalent to the area under the receiver operating characteristic curve in order to assess the predictive power of MELD. Other independent mortality risk factors were identified by a separate multivariate analysis. Mortality rates within different MELD and Child-Pugh-Turcotte scores were compared to the original (United States) MELD data.


RESULTS
Of 86 patients listed for transplantation, 40 were transplanted (36 in Israel and 4 abroad). Of the other 46 patients, 24 are alive and still listed, and 22 died (25%, approximately 7%/year). The area under the ROC curve for MELD score was 0.79 (0.83 USA) compared to a CPT score of 0.71 (0.76 USA). High MELD scores, occurrence of spontaneous bacterial peritonitis, and diagnosis of hepatocellular carcinoma were independent risk factors of mortality. Death rates per mid-MELD score (20-29) were significantly higher than the USA results.


CONCLUSIONS
MELD is valid in Israel and superior to CPT in predicting waiting list mortality. Although longer waiting time due to organ scarcity is a key factor, death rates in the mid-range (10-29) MELD groups indicate further audit of the care of patients with end-stage liver disease.
Ben-Haim
Menahem
M
Department of Surgery B, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel. benhaimm@tasmc.health.gov.il
Carmiel
Michal
M
Katz
Paulina
P
Shabtai
Esther
E
Oren
Ran
R
Nakache
Richard
R
D005260:Female; D005544:Forecasting / Q000379:methods; D006801:Humans; D007557:Israel; D017093:Liver Failure / Q000401:mortality* / Q000601:surgery; D016031:Liver Transplantation; D008297:Male; D015233:Models, Statistical; D011446:Prospective Studies; D012372:ROC Curve; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D016019:Survival Analysis; D009927:Tissue and Organ Procurement / Q000706:statistics & numerical data*; D014850:Waiting Lists