Literature DB >> 17589954

Comparison scoring model of severe viral hepatitis and model of end stage liver disease for the prognosis of patients with liver failure in China.

Li Zhou1, Pei-Ling Dong, Hui-Guo Ding.   

Abstract

AIM: To estimate the prognosis of patients with liver failure using a scoring model of severe viral hepatitis (SMSVH) and a model of end stage liver disease (MELD) to provide a scientific basis for clinical decision of treatment.
METHODS: One hundred and twenty patients with liver failure due to severe viral hepatitis were investigated with SMSVH established. Patients with acute, subacute, and chronic liver failure were 40, 46 and 34, respectively. The follow-up time was 6 mo. The survival rates of patients with liver failure in 2 wk, 4 wk, 3 mo and 6 mo were estimated with Kaplan-Meier method. Comparison between SMSVH and MELD was made using ROC statistic analysis.
RESULTS: The survival curves of group A (at low risk, SMSVH score <or= 4) and group B (at high risk, SMSVH score >or= 5) were significantly different (The 4-wk, 3-mo, 6-mo survival rates were 94.59%, 54.05%, 43.24% in group A, and 51.81%, 20.48%, 12.05% in group B, respectively, P < 0.001). The survival curves of group C (SMSVH scores unchanged or increased), group D (SMSVH scores decreased by 1) and group E (SMSVH scores decreased by 2 or more) were significantly different .The survival rates of groups C, D and E were 66.15%, 100%, 100% in 2-wk; 40.0%, 91.18%, 100% in 4-wk; 0%, 58.82%, 80.95% in 3-mo and 0%, 38.24%, 61.90% in 6-mo, respectively, P < 0.001). The area under the ROC curve (AUC) of SMSVH scores at baseline and after 2 wk of therapy was significantly higher than that under the ROC curve of MELD scores (0.804 and 0.934 vs 0.689, P < 0.001).
CONCLUSION: SMSVH is superior to MELD in the estimation of the prognosis of patients with severe viral hepatitis within 6 mo. SMSVH may be regarded as a criterion for estimation of the efficacy of medical treatment and the decision of clinical treatment.

Entities:  

Mesh:

Year:  2007        PMID: 17589954      PMCID: PMC4171156          DOI: 10.3748/wjg.v13.i21.2999

Source DB:  PubMed          Journal:  World J Gastroenterol        ISSN: 1007-9327            Impact factor:   5.742


  15 in total

1.  Predicting the prognosis of chronic liver disease: an evolution from child to MELD. Mayo End-stage Liver Disease.

Authors:  L M Forman; M R Lucey
Journal:  Hepatology       Date:  2001-02       Impact factor: 17.425

Review 2.  Assessment of the prognosis of cirrhosis: Child-Pugh versus MELD.

Authors:  François Durand; Dominique Valla
Journal:  J Hepatol       Date:  2004-12-24       Impact factor: 25.083

3.  Child, MELD, hyponatremia, and now portal pressure.

Authors:  Laurie Blendis
Journal:  Gastroenterology       Date:  2006-05       Impact factor: 22.682

4.  Are hepatic growth factors predictors of clinical outcome in fulminant hepatic failure?

Authors:  Marcus K H Auth
Journal:  J Pediatr Gastroenterol Nutr       Date:  2007-02       Impact factor: 2.839

5.  Prediction of the prognosis in patients with acute-on-chronic hepatitis using the MELD scoring system.

Authors:  Jian-Wu Yu; Gui-Qiang Wang; Shu-Chen Li
Journal:  J Gastroenterol Hepatol       Date:  2006-10       Impact factor: 4.029

6.  Risk factors, sequential organ failure assessment and model for end-stage liver disease scores for predicting short term mortality in cirrhotic patients admitted to intensive care unit.

Authors:  E Cholongitas; M Senzolo; D Patch; K Kwong; V Nikolopoulou; G Leandro; S Shaw; A K Burroughs
Journal:  Aliment Pharmacol Ther       Date:  2006-04-01       Impact factor: 8.171

7.  Combined human growth hormone and lactulose for prevention and treatment of multiple organ dysfunction in patients with severe chronic hepatitis B.

Authors:  Hui-Guo Ding; Jing Shan; Bin Zhang; Hong-Bo Ma; Li Zhou; Rui Jin; Yu-Fen Tan; Li-Xiang He
Journal:  World J Gastroenterol       Date:  2005-05-21       Impact factor: 5.742

8.  Fulminant hepatitis A virus infection in the United States: Incidence, prognosis, and outcomes.

Authors:  Ryan M Taylor; Timothy Davern; Santiago Munoz; Stephen-Huy Han; Brendan McGuire; Anne M Larson; Linda Hynan; William M Lee; Robert J Fontana
Journal:  Hepatology       Date:  2006-12       Impact factor: 17.425

9.  Clinical features and prognosis of patients with extrahepatic metastases from hepatocellular carcinoma.

Authors:  Kiminori Uka; Hiroshi Aikata; Shintaro Takaki; Hiroo Shirakawa; Soo-Cheol Jeong; Keitaro Yamashina; Akira Hiramatsu; Hideaki Kodama; Shoichi Takahashi; Kazuaki Chayama
Journal:  World J Gastroenterol       Date:  2007-01-21       Impact factor: 5.742

10.  Acute liver failure: clinical features, outcome analysis, and applicability of prognostic criteria.

Authors:  A O Shakil; D Kramer; G V Mazariegos; J J Fung; J Rakela
Journal:  Liver Transpl       Date:  2000-03       Impact factor: 5.799

View more
  1 in total

1.  Delta model for end-stage liver disease and delta clinical prognostic indicator as predictors of mortality in patients with viral acute liver failure.

Authors:  Ashok Kumar Pannu; Ashish Bhalla; Chelapati Rao; Charanpreet Singh
Journal:  Int J Crit Illn Inj Sci       Date:  2017 Oct-Dec
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.