Literature DB >> 28843035

Risk prediction of post-hepatectomy liver failure in patients with perihilar cholangiocarcinoma.

Eung Chang Lee1, Sang-Jae Park1, Sung-Sik Han1, Jae Ryong Shim1, Hyeong Min Park1, Seung Duk Lee1, Seong Hoon Kim1.   

Abstract

BACKGROUND AND AIM: In most patients with perihilar cholangiocarcinoma (PHCC), major hepatectomy and extrahepatic bile duct resection are needed for surgical radicality, and a high risk of hepatic insufficiency exists. This study aims to develop a prediction model for post-hepatectomy liver failure (PHLF) in patients with PHCC.
METHODS: A total of 143 patients who underwent major liver resection and extrahepatic bile duct resection for PHCC between October 2001 and December 2013 were included. Clinically relevant PHLF was defined as liver failure corresponding to grade B or C of the International Study Group of Liver Surgery criteria. Multivariate logistic regression was used to develop the PHLF risk model. Model performance was evaluated internally using the area under the curve analysis (discrimination) after 1000 bootstrap resampling and the Hosmer-Lemeshow goodness-of-fit test (calibration).
RESULTS: Post-hepatectomy liver failure occurred in 43.4% of patients (n = 62). In multivariate analysis, PHLF was significantly associated with future liver remnant ratio (odds ratio [OR] per 10% = 0.68, 95% confidence interval [CI] 0.51-0.88), intraoperative blood loss (OR per 1 L = 1.82, 95% CI 1.11-3.17), and preoperative prothrombin time > 1.20 (OR = 3.22, 95% CI 1.15-9.97). The PHLF risk score model showed good discrimination (area under the curve = 0.708, 95% CI 0.623-0.793) and calibration (P = 0.227).
CONCLUSIONS: The risk model proposed in this study accurately predicted PHLF in patients with PHCC. This offers surgeons a practical guide to quantitative risk assessment of hepatic insufficiency and aids decision-making in surgical treatment and perioperative management.
© 2017 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  perihilar cholangiocarcinoma; post-hepatectomy liver failure; risk prediction model

Mesh:

Year:  2018        PMID: 28843035     DOI: 10.1111/jgh.13966

Source DB:  PubMed          Journal:  J Gastroenterol Hepatol        ISSN: 0815-9319            Impact factor:   4.029


  7 in total

1.  Differences in the safety line of the future liver remnant plasma clearance rate of indocyanine green necessary to prevent post-hepatectomy liver failure associated with underlying diseases.

Authors:  Nobuhito Nitta; Yusuke Yamamoto; Teiichi Sugiura; Yukiyasu Okamura; Takaaki Ito; Ryo Ashida; Katsuhisa Ohgi; Katsuhiko Uesaka
Journal:  Surg Today       Date:  2021-05-29       Impact factor: 2.549

2.  Textbook outcome after major hepatectomy for perihilar cholangiocarcinoma - definitions and influencing factors.

Authors:  Christian Benzing; Lena Marie Haiden; Felix Krenzien; Alexa Mieg; Annika Wolfsberger; Cecilia Filiz Atik; Nora Nevermann; Uli Fehrenbach; Wenzel Schöning; Moritz Schmelzle; Johann Pratschke
Journal:  Langenbecks Arch Surg       Date:  2022-03-04       Impact factor: 2.895

3.  Clinical Significance of Prothrombin Time in Cholangiocarcinoma Patients with Surgeries.

Authors:  Hui-Shan Wang; Xian-Xiu Ge; Quan-Peng Li; Jun-Jie Nie; Lin Miao
Journal:  Can J Gastroenterol Hepatol       Date:  2019-07-01

4.  Impact of portal hypertension on short- and long-term outcomes after liver resection for intrahepatic cholangiocarcinoma: A propensity score matching analysis.

Authors:  Jun Fu; Qinjunjie Chen; Yuyan Yu; Wuyi You; Zongren Ding; Yuzhen Gao; Haitao Li; Yongyi Zeng
Journal:  Cancer Med       Date:  2021-08-18       Impact factor: 4.452

5.  Impact of post-hepatectomy liver failure on morbidity and short- and long-term survival after major hepatectomy.

Authors:  Ruth Baumgartner; Stefan Gilg; Bergthor Björnsson; Kristina Hasselgren; Poya Ghorbani; Christina Sauter; Per Stål; Per Sandstöm; Ernesto Sparrelid; Jennie Engstrand
Journal:  BJS Open       Date:  2022-07-07

Review 6.  Practical review for diagnosis and clinical management of perihilar cholangiocarcinoma.

Authors:  Daniele Dondossola; Michele Ghidini; Francesco Grossi; Giorgio Rossi; Diego Foschi
Journal:  World J Gastroenterol       Date:  2020-07-07       Impact factor: 5.742

7.  Development and validation of a screening model for diabetes mellitus in patients with periodontitis in dental settings.

Authors:  Naichuan Su; Wijnand J Teeuw; Bruno G Loos; Madeline X F Kosho; Geert J M G van der Heijden
Journal:  Clin Oral Investig       Date:  2020-06-15       Impact factor: 3.573

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.