OBJECTIVETo evaluate the effect of portal hypertension on prognosis in patients with decompensated liver cirrhosis.

METHODSThe clinical data of decompensated cirrhosis patients in our hospital, between 2003 and 2006, were retrospected and followed up. Model for end-stage liver disease (MELD) score and Child-Turcotte-Pugh (CTP) classification was calculated using the standard formula. Kaplan-Meier survival analysis was used to compare the mortality in subgroups ranked by the syndromes. Cox proportional hazards regression was used to evaluate the effect of the syndromes on prognosis.

RESULTSA cohort of 322 patients was admitted in this study at the end of the follow-up. The mortality of variceal bleeding, hepatic encephalopathy, a large volume ascites, spontaneous bacterial peritonitis, the type I and type II hepatorenal syndrome was 45.9%, 79.4%, 66.7%, 100%, 100% and 84.6% respectively. On the whole, the occurrence of all the syndromes was correlated with CTP classification and MELD score. Kaplan-Meier survival analysis showed that all of these syndromes, except for low to medium volume of ascites, significantly affected the survival rate (P<0.01). In Cox regression analysis, all the syndromes were the independent predictors of prognosis, the regression coefficient values of hepatic encephalopathy, spontaneous bacterial peritonitis, type I and type II hepatorenal syndrome, variceal bleeding and ascites were 0.973, 0.928, 0.935, 0.866, 0.464 and 0.369 respectively.

CONCLUSIONSThe portal hypertensive syndromes have significant effect on the prognosis of the patients with decompensated cirrhosis, hepatic encephalopathy is the worst one.

Adult ; Aged ; Esophageal and Gastric Varices ; epidemiology ; etiology ; Female ; Follow-Up Studies ; Gastrointestinal Hemorrhage ; epidemiology ; etiology ; Hepatic Encephalopathy ; epidemiology ; etiology ; Hepatorenal Syndrome ; epidemiology ; etiology ; Humans ; Hypertension, Portal ; complications ; epidemiology ; Liver Cirrhosis ; complications ; mortality ; pathology ; Male ; Middle Aged ; Models, Statistical ; Predictive Value of Tests ; Prognosis ; Severity of Illness Index ; Survival Analysis