Literature DB >> 26927299

The FIB-4 score predicts postoperative short-term outcomes of hepatocellular carcinoma fulfilling the milan criteria.

J Dong1, X-h Xu1, M-y Ke1, J-x Xiang1, W-y Liu1, X-m Liu1, B Wang1, X-f Zhang1, Y Lv2.   

Abstract

BACKGROUND: The fibrosis score 4 (FIB-4) score is a useful tool to determine the degree of hepatic fibrosis. Liver fibrosis and cirrhosis are well-known predictors of postoperative complications after hepatectomy. This study examined the impact of FIB-4 on postoperative short-term outcomes of patients with hepatocellular carcinoma (HCC).
METHODS: Three hundred and fifty patients undergoing hepatectomy for HCC between 2008 and 2013 were enrolled. The receiver operating characteristic (ROC) curve analysis was performed to determine the cutoff value of the FIB-4. Univariate and multivariate analysis was performed to identify the risk factors. The correlation of the preoperative FIB-4 value with clinicopathological parameters was examined.
RESULTS: Postoperative complications were observed in 202 (57.7%) patients. The optimal cutoff value of the FIB-4 was set at 2.88 and 3.85 for postoperative complications and intraoperative blood loss respectively. It was also an independent prognostic factor for postoperative complications (hazard ratio [HR], 1.202; 95% CI, 1.076-1.344; P = 0.001) and intraoperative blood loss (HR, 1.196; 95% CI, 1.091-1.343; P < 0.001) by multivariate analysis. The FIB-4 was significantly correlated with age, liver function, coagulation function, blood loss, intraoperative blood transfusion (all P < 0.05).
CONCLUSION: Preoperative FIB-4 is a useful index to predict postoperative outcomes in patients with HCC. The FIB-4 should be assessed routinely for hepatocellular carcinoma patients.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  FIB-4; Hepatectomy; Hepatocellular carcinoma; Short-term outcomes

Mesh:

Year:  2016        PMID: 26927299     DOI: 10.1016/j.ejso.2016.02.009

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  7 in total

1.  Comparison of FIB-4 Index and Child-Pugh Score in Predicting the Outcome of Hepatic Resection for Hepatocellular Carcinoma.

Authors:  Pan Zhou; Bo Chen; Xiong-Ying Miao; Jiang-Jiao Zhou; Li Xiong; Yu Wen; Heng Zou
Journal:  J Gastrointest Surg       Date:  2019-05-07       Impact factor: 3.452

2.  Serum GP73 predicts posthepatectomy outcomes in patients with hepatocellular carcinoma.

Authors:  Meng-Yun Ke; Xiao-Ning Wu; Yao Zhang; Saisai Wang; Yi Lv; Jian Dong
Journal:  J Transl Med       Date:  2019-05-02       Impact factor: 5.531

3.  ALBI/ST ratio versus FIB-4 and APRI as a predictor of posthepatectomy liver failure in hepatocellular carcinoma patients.

Authors:  Ze-Qun Zhang; Bo Yang; Heng Zou; Li Xiong; Xiong-Ying Miao; Yu Wen; Jiang-Jiao Zhou
Journal:  Medicine (Baltimore)       Date:  2019-04       Impact factor: 1.817

4.  Association Between Noninvasive Fibrosis Markers and Postoperative Mortality After Hepatectomy for Hepatocellular Carcinoma.

Authors:  Felipe B Maegawa; Lauren Shehorn; Hassan Aziz; John Kettelle; Tun Jie; Taylor S Riall
Journal:  JAMA Netw Open       Date:  2019-01-04

5.  Analysis of Related Risk Factors of Microvascular Invasion in Hepatocellular Carcinoma.

Authors:  Longqing Shi; Zhen Qu; Yue Yang; Yue Zhang; Donglin Sun
Journal:  Comput Math Methods Med       Date:  2022-03-21       Impact factor: 2.238

6.  A Novel Nomogram for Prediction of Post-Hepatectomy Liver Failure in Patients with Resectable Hepatocellular Carcinoma: A Multicenter Study.

Authors:  Jitao Wang; Zhanguo Zhang; Dong Shang; Yong Liao; Peng Yu; Jinling Li; Shubo Chen; Dengxiang Liu; Hongrui Miao; Shuang Li; Biao Zhang; Anliang Huang; Hao Liu; Yewei Zhang; Xiaolong Qi
Journal:  J Hepatocell Carcinoma       Date:  2022-08-27

7.  Fibrosis-4 Model Influences Results of Patients with Hepatocellular Carcinoma Undergoing Hepatectomy.

Authors:  Haiqing Wang; Aixiang Liu; Wentao Bo; Xielin Feng; Yong Hu; Lang Tian; Hui Zhang; Xiaoli Tang; Lixia Zhang
Journal:  Biomed Res Int       Date:  2018-07-02       Impact factor: 3.411

  7 in total

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