Literature DB >> 27717165

Preoperative direct bilirubin to prothrombin time ratio index to prevent liver failure after minor hepatectomy.

Takaki Furuyama1, Atsushi Kudo1, Satoshi Matsumura1, Yusuke Mitsunori1, Arihiro Aihara1, Daisuke Ban1, Takanori Ochiai1, Shinji Tanaka2, Minoru Tanabe1.   

Abstract

BACKGROUND: The most reliable index to predict the safety of hepatectomy for patients with poor liver function remains unknown. We aimed to construct a novel preoperative index to predict early liver failure (ELF) and mortality due to recurrence-free liver failure (MLF) after hepatectomy.
METHODS: Between 2000 and 2012, 385 consecutive patients with hepatocellular carcinoma undergoing curative minor hepatectomy were divided into two sequential cohorts: training set (n = 143) and validation set (n = 242), and observed until 2015.
RESULTS: Prothrombin time and direct bilirubin were independent predictors of both ELF and MLF in the training set. Thus we devised a novel index, the direct bilirubin to prothrombin time ratio index (DBPTRI). The areas under ROC curves of DBPTRI for predicting ELF and MLF were 0.78 and 0.93, respectively, in the validation set. Using a preoperative DBPTRI cut off of 4.2, we accurately predicted ELF and MLF in 86.8% and 88.4% of patients, respectively. DBPTRI was the best predictor of ELF and MLF when compared with conventional indices such as ICG-R15 and Child-Pugh score. Moreover, the 5-year overall survival rates of the patients with low and high DBPTRI were 59% and 36%, respectively (P < 0.0001).
CONCLUSIONS: DBPTRI may serve as a simple, non-invasive index for estimating liver failure after hepatectomy.
© 2016 Japanese Society of Hepato-Biliary-Pancreatic Surgery.

Entities:  

Keywords:  Bilirubin; Hepatectomy; Hepatocellular carcinoma; Liver failure; Prothrombin time

Mesh:

Substances:

Year:  2016        PMID: 27717165     DOI: 10.1002/jhbp.400

Source DB:  PubMed          Journal:  J Hepatobiliary Pancreat Sci        ISSN: 1868-6974            Impact factor:   7.027


  2 in total

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Authors:  Xiang Zhou; Bin-Bin Cai; Xiang-Qing Hou; Xing-Kai Kang; Xiang-Xiang Xu; Wei-Ming Wang
Journal:  Aging (Albany NY)       Date:  2020-06-21       Impact factor: 5.682

2.  A Clinical-Radiomic Model for Predicting Indocyanine Green Retention Rate at 15 Min in Patients With Hepatocellular Carcinoma.

Authors:  Ji Wu; Feng Xie; Hao Ji; Yiyang Zhang; Yi Luo; Lei Xia; Tianfei Lu; Kang He; Meng Sha; Zhigang Zheng; Junekong Yong; Xinming Li; Di Zhao; Yuting Yang; Qiang Xia; Feng Xue
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  2 in total

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