Literature DB >> 16640525

Limitation of the model for end-stage liver disease for outcome prediction in patients with cirrhosis-related complications.

Teh-Ia Huo1, Han-Chieh Lin, Jaw-Ching Wu, Ming-Chih Hou, Fa-Yauh Lee, Pui-Ching Lee, Full-Young Chang, Shou-Dong Lee.   

Abstract

The model for end-stage liver disease (MELD) has been used to prioritize cirrhotic patients awaiting liver transplantation. Bleeding esophageal varices, spontaneous bacterial peritonitis and hepatic encephalopathy are major complications of cirrhosis and traditional indications for liver transplantation evaluation. However, these complications are not included in the MELD and it is not clear if these complications correlate with MELD score in terms of outcome prediction. This study aimed to investigate the feasibility of cirrhosis-related complication as a prognostic predictor in 290 cirrhotic patients. The MELD score and outcome were compared between patients with and without cirrhosis-related complications. There was no significant difference of the MELD score between patients with (n = 67) and without (n = 223) complications (11.6 +/- 2.9 vs. 12.2 +/- 3.2, p = 0.184). The area under the receiver operating characteristic curve was 0.687 for MELD vs. 0.604 for complications (p = 0.174) at six months, and the area was 0.641 for MELD vs. 0.611 for complications (p = 0.522) at 12 months. A high MELD score and presence of complications had a similar profile of predictive accuracy and both were significant predictors of mortality at six and 12 months in multivariate logistic regression analysis. Patients with cirrhosis-related complications at presentation had a decreased survival compared with those without complications (p < 0.0001). In conclusion, the occurrence of cirrhosis-related complications is a predictor of poor prognosis. While early transplantation referral is recommended, these patients do not necessarily have a higher MELD score and could be down-staged in the MELD era.

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Year:  2006        PMID: 16640525     DOI: 10.1111/j.1399-0012.2005.00463.x

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  8 in total

1.  Quantitative liver function tests improve the prediction of clinical outcomes in chronic hepatitis C: results from the Hepatitis C Antiviral Long-term Treatment Against Cirrhosis Trial.

Authors:  Gregory T Everson; Mitchell L Shiffman; John C Hoefs; Timothy R Morgan; Richard K Sterling; David A Wagner; Shannon Lauriski; Teresa M Curto; Anne Stoddard; Elizabeth C Wright
Journal:  Hepatology       Date:  2012-03-01       Impact factor: 17.425

2.  Mortality Risk Factors Among Patients With Cirrhosis and a Low Model for End-Stage Liver Disease Sodium Score (≤15): An Analysis of Liver Transplant Allocation Policy Using Aggregated Electronic Health Record Data.

Authors:  K Atiemo; A Skaro; H Maddur; L Zhao; S Montag; L VanWagner; S Goel; A Kho; B Ho; R Kang; J L Holl; M M Abecassis; J Levitsky; D P Ladner
Journal:  Am J Transplant       Date:  2017-04-04       Impact factor: 8.086

3.  Model for End-Stage Liver Disease and liver cirrhosis-related complications.

Authors:  Luis Calzadilla Bertot; Eduardo Vilar Gomez; Linnet Alonso Almeida; Enrique Arus Soler; Luis Blanco Perez
Journal:  Hepatol Int       Date:  2012-10-10       Impact factor: 6.047

4.  Outcomes for liver transplant candidates listed with low model for end-stage liver disease score.

Authors:  Allison J Kwong; Jennifer C Lai; Jennifer L Dodge; John P Roberts
Journal:  Liver Transpl       Date:  2015-11       Impact factor: 5.799

5.  Predicting clinical and histologic outcomes based on standard laboratory tests in advanced chronic hepatitis C.

Authors:  Marc G Ghany; Anna S F Lok; James E Everhart; Gregory T Everson; William M Lee; Teresa M Curto; Elizabeth C Wright; Anne M Stoddard; Richard K Sterling; Adrian M Di Bisceglie; Herbert L Bonkovsky; Chihiro Morishima; Timothy R Morgan; Jules L Dienstag
Journal:  Gastroenterology       Date:  2009-09-18       Impact factor: 22.682

6.  Model for end-stage liver disease versus the Child-Pugh score in predicting the post-transplant 3-month and 1-year mortality in a cohort of Chinese recipients.

Authors:  Zhiyong Guo; Xiaoshun He; Linwei Wu; Weiqiang Ju; Anbin Hu; Qiang Tai; Dongping Wang; Yi Ma; Guodong Wang; Xiaofeng Zhu; Jiefu Huang
Journal:  Surg Today       Date:  2009-12-29       Impact factor: 2.549

7.  The MELD-Plus: A generalizable prediction risk score in cirrhosis.

Authors:  Uri Kartoun; Kathleen E Corey; Tracey G Simon; Hui Zheng; Rahul Aggarwal; Kenney Ng; Stanley Y Shaw
Journal:  PLoS One       Date:  2017-10-25       Impact factor: 3.240

8.  Urinary BA Indices as Prognostic Biomarkers for Complications Associated with Liver Diseases.

Authors:  Wenkuan Li; Jawaher Abdullah Alamoudi; Nagsen Gautam; Devendra Kumar; Macro Olivera; Yeongjin Gwon; Sandeep Mukgerjee; Yazen Alnouti
Journal:  Int J Hepatol       Date:  2022-03-30
  8 in total

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