Preoperative risk stratification for early recurrence of HBV-related hepatocellular carcinoma after deceased donor liver transplantation: a five-eight model development and ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-11-21

AUTHORS

Abdulahad Abdulrab Mohammed Al-Ameri, Xuyong Wei, Lidan Lin, Zhou Shao, Haijun Guo, Haiyang Xie, Lin Zhou, Shusen Zheng, Xiao Xu

ABSTRACT

BackgroundEarly recurrence of hepatocellular carcinoma (HCC) after liver transplantation (LT) is associated with poor surgical outcomes. This study aims to construct a preoperative model to predict individual risk of post-LT HCC recurrence.MethodsData of 748 adult patients who underwent deceased donor LT for HCC between January 2015, and February 2019 were collected retrospectively from the China Liver Transplant Registry database and randomly divided into training (n = 486) and validation(n = 262) cohorts. A multivariate analysis was performed and the five-eight model was developed.ResultsA total of 748 patients were included in the study; of them, 96% had hepatitis B virus (HBV) and 84% had cirrhosis. Pre-LT serum alpha-fetoprotein (AFP), tumor number and largest tumor diameter were incorporated to construct the 5–8 model which can stratify patients accurately according to their risk of recurrence into three prognostic subgroups; low-(0–5 points), medium-(6–8 points) and high-risk (> 8 points) with 2-year post-LT recurrence rate of (5,20 and 51%,p < 0.001) respectively. The 5–8 model was better than Milan, Hangzhou, and AFP-model for prediction of HCC early recurrence. These findings were confirmed by the results of the validation cohort.ConclusionsThe 5–8 model is a simple validated and accurate tool for preoperative stratification of early recurrence of HCC after LT. More... »

PAGES

1136

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12885-019-6343-4

DOI

http://dx.doi.org/10.1186/s12885-019-6343-4

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https://app.dimensions.ai/details/publication/pub.1122797220

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/31752756


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