To compare the performance of eight score systems (MELD, uMELD, MELD-Na. iMELD, 
UKELD, MELD-AS, CTP, and mCTP) in predicting the post-transplant mortality, we 
analyzed the data of 6,014 adult cirrhotic patients who underwent liver 
transplantation between January 2003 and December 2010 from the China Liver 
Transplant Registry database. In hepatitis B virus (HBV) group, MELD, uMELD and 
MELD-AS showed good predictive accuracies at 3-month mortality after liver 
transplantation; by comparison with other five models, MELD presented the best 
ability in predicting 3-month, 6-month and 1-year mortality, showing a 
significantly better predictive ability than UKELD and iMELD. In hepatitis C 
virus and Alcohol groups, the predictive ability did not differ significantly 
between MELD and other models. Patient survivals in different MELD categories 
were of statistically significant difference. Among patients with MELD score 
>35, a new prognostic model based on serum creatinine, need for hemodialysis and 
moderate ascites could identify the sickest one. In conclusion, MELD is superior 
to other score systems in predicting short-term post-transplant survival in 
patients with HBV-related liver disease. Among patients with MELD score >35, a 
new prognostic model can identify the sickest patients who should be excluded 
from waiting list to prevent wasteful transplantation.