Abstract | PURPOSE: This study evaluated the performance of the model for end-stage liver disease (MELD) in predicting post-transplant survival in a cohort of Chinese patients, and compared its predictive ability with that of the Child-Pugh score. METHODS: The study enrolled 117 adult Chinese patients undergoing liver transplantation for benign end-stage liver diseases from January 1998 to January 2007 to evaluate the baseline characteristics and outcomes. RESULTS: In a median follow-up duration of 90 weeks (range 0.2-373 weeks), 30 patients died. The 3-month and 1-year mortality rates of recipients in group 1 (MELD score <28) were 1.1% and 5.6%, in group 2 (MELD score 28-38) 18.8% and 50.0%, and in group 3 (MELD score >38) 91.7% and 91.7%, respectively. A statistical difference was observed in the mortality rates between the three groups (P < 0.001). At 3 months, the area under the receiver operating characteristic curve of the MELD (0.950) was significantly higher than that of the Child-Pugh score (0.810; P < 0.05). CONCLUSIONS: Both the MELD and Child-Pugh score are valid models to predict the short-term or medium-term outcome of Chinese recipients undergoing liver transplantation for benign end-stage liver diseases. The MELD is superior to the Child-Pugh score in predicting the 3-month mortality post- transplantation.
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Authors | Zhiyong Guo, Xiaoshun He, Linwei Wu, Weiqiang Ju, Anbin Hu, Qiang Tai, Dongping Wang, Yi Ma, Guodong Wang, Xiaofeng Zhu, Jiefu Huang |
Journal | Surgery today
(Surg Today)
Vol. 40
Issue 1
Pg. 38-45
( 2010)
ISSN: 1436-2813 [Electronic] Japan |
PMID | 20037838
(Publication Type: Comparative Study, Journal Article, Research Support, Non-U.S. Gov't, Validation Study)
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Topics |
- Adult
- Aged
- Area Under Curve
- China
(epidemiology)
- Cohort Studies
- Confidence Intervals
- End Stage Liver Disease
(mortality, surgery)
- Female
- Health Status Indicators
- Humans
- Kaplan-Meier Estimate
- Liver Transplantation
(mortality, statistics & numerical data)
- Male
- Middle Aged
- Models, Theoretical
- Prognosis
- ROC Curve
- Retrospective Studies
- Statistics, Nonparametric
- Time Factors
- Young Adult
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