Kong FH, Miao XY, Zou H, Xiong L, Wen Y, Chen B, Liu X, Zhou JJ. End-stage liver disease score and future liver remnant volume predict post-hepatectomy liver failure in hepatocellular carcinoma. World J Clin Cases 2019; 7(22): 3734-3741 [PMID: 31799298 DOI: 10.12998/wjcc.v7.i22.3734]
Corresponding Author of This Article
Jiang-Jiao Zhou, MD, Doctor, Department of General Surgery, The Second Xiangya Hospital, Central South University, Renming Road, Changsha 410011, Hunan Province, China. zhoujiangjiao@csu.edu.cn
Research Domain of This Article
Medicine, Research & Experimental
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Clin Cases. Nov 26, 2019; 7(22): 3734-3741 Published online Nov 26, 2019. doi: 10.12998/wjcc.v7.i22.3734
End-stage liver disease score and future liver remnant volume predict post-hepatectomy liver failure in hepatocellular carcinoma
Fan-Hua Kong, Xiong-Ying Miao, Heng Zou, Li Xiong, Yu Wen, Bo Chen, Xi Liu, Jiang-Jiao Zhou
Fan-Hua Kong, Xiong-Ying Miao, Heng Zou, Li Xiong, Yu Wen, Bo Chen, Xi Liu, Jiang-Jiao Zhou, Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China
Author contributions: All authors helped to perform the research; Kong FH wrote the manuscript, performed the procedures, and analyzed the data; Miao XY performed the experiments; Zou H, Xiong L, Wen Y, Chen B, and Liu X contributed to the writing of the manuscript; Zhou JJ contributed to the writing of the manuscript and drafted the conception and design.
Supported bythe National Natural Science Foundation of China, No. 81970569, No. 81773293, and No. 31660266; Natural Science Foundation of Hunan Province, No. 2015JJ4083, No. 2019JJ50874, and No. 2018JJ3758.
Institutional review board statement: This research was approved by the Central South University Agency Review Committee.
Informed consent statement: The patients were not required to give informed consent to the study because the analysis used anonymous clinical data.
Conflict-of-interest statement: All authors declare no conflicts of interest related to this article.
Corresponding author: Jiang-Jiao Zhou, MD, Doctor, Department of General Surgery, The Second Xiangya Hospital, Central South University, Renming Road, Changsha 410011, Hunan Province, China. zhoujiangjiao@csu.edu.cn
Telephone: +86-13974966913
Received: September 3, 2019 Peer-review started: September 3, 2019 First decision: September 23, 2019 Revised: October 18, 2019 Accepted: October 30, 2019 Article in press: October 29, 2019 Published online: November 26, 2019 Processing time: 83 Days and 23.8 Hours
Core Tip
Core tip: Hepatocellular carcinoma (HCC) is the sixth most common malignancy and the second leading cause of death from cancer worldwide. At present, Post-hepatectomy liver failure (PHLF) is still one of the main causes of death for HCC patients undergoing hepatectomy. Although standardized future liver remnant (sFLR) or model for end-stage liver disease (MELD) can predict the occurrence of PHLF to a certain extent, their sensitivity and specificity do not sufficiently meet clinical needs. The combination of sFLR volume with MELD score is a reliable predictor of PHLF. This measurement can effectively guide the early management after hepatectomy, thereby improving the prognosis and reducing the mortality. Also, the model can provide a new strategy for the preoperative evaluation of hepatectomy.
