Literature DB >> 15526125

Preoperative serum hyaluronic acid level as a good predictor of posthepatectomy complications.

Atsushi Nanashima1, Hiroyuki Yamaguchi, Kenji Tanaka, Shinichi Shibasaki, Takashi Tsuji, Noboru Ide, Shigekazu Hidaka, Terumitsu Sawai, Tohru Nakagoe, Takeshi Nagayasu.   

Abstract

PURPOSE: We evaluated the efficiency of measuring hyaluronic acid (HA) levels preoperatively in patients with injured liver disease as a predictor of complications after hepatectomy.
METHODS: We examined patients who underwent hepatectomy for liver tumors secondary to chronic viral liver diseases or obstructive jaundice.
RESULTS: The preoperative HA level correlated significantly with the indocyanine green retention rate at 15 min, liver activity at 15 min by technetium-99m galactosyl human serum albumin scientigraphy, and the histopathological activity index. It was also significantly elevated in patients with severe fibrosis caused by cirrhosis. After hepatectomy, the HA level was increased on postoperative day (PODS) 7, but had normalized by POD 28. The preoperative HA level tended to correlate with the regeneration rate on POD 28, and was significantly higher in patients with prolonged ascites or hepatic failure postoperatively. Multivariate analysis identified a serum HA level above 200 or 150 ng/ml as the only significant predictor of postoperative hepatic failure or long-term ascites, respectively (P < 0.05).
CONCLUSION: Our findings indicate that the preoperative serum HA level is a good predictor of postoperative complications in patients who undergo hepatectomy for injured liver disease.

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Year:  2004        PMID: 15526125     DOI: 10.1007/s00595-004-2845-y

Source DB:  PubMed          Journal:  Surg Today        ISSN: 0941-1291            Impact factor:   2.549


  9 in total

1.  Reliability of indocyanine green retention and clearance rates at 15 minutes calculated by dye-dilution cardiac output flowmetry in comparison to blood sampling in patients undergoing hepatic resection.

Authors:  Masahide Hiyoshi; Koichi Yano; Atsushi Nanashima; Naoya Imamura; Takeomi Hamada; Takashi Wada
Journal:  Indian J Gastroenterol       Date:  2019-12-05

Review 2.  A review of factors predicting perioperative death and early outcome in hepatopancreaticobiliary cancer surgery.

Authors:  Chris D Mann; Tom Palser; Chris D Briggs; Iain Cameron; Myrrdin Rees; John Buckles; David P Berry
Journal:  HPB (Oxford)       Date:  2010-08       Impact factor: 3.647

3.  Relationship of immunonutritional factor with changes in liver volume after portal vein embolization.

Authors:  Atsushi Nanashima; Yukinori Tanoue; Koichi Yano; Masahide Hiyoshi; Naoya Imamura; Takeomi Hamada; Kengo Kai; Eiji Kitamura; Yasuto Suzuki; Kousei Tahira; Fumiya Kawano; Takeshi Nagayasu
Journal:  Surg Open Sci       Date:  2022-05-28

4.  Prediction of postoperative hepatic insufficiency by liver stiffness measurement (FibroScan((R))) before curative resection of hepatocellular carcinoma: a pilot study.

Authors:  Seung Up Kim; Sang Hoon Ahn; Jun Yong Park; Do Young Kim; Chae Yoon Chon; Jin Sub Choi; Kyung Sik Kim; Kwang-Hyub Han
Journal:  Hepatol Int       Date:  2008-09-09       Impact factor: 6.047

5.  Predictors of intraoperative blood loss in patients undergoing hepatectomy.

Authors:  Atsushi Nanashima; Takafumi Abo; Keiko Hamasaki; Kouki Wakata; Masaki Kunizaki; Kazuo Tou; Hiroaki Takeshita; Shigekazu Hidaka; Terumitsu Sawai; Tomoshi Tsuchiya; Takeshi Nagayasu
Journal:  Surg Today       Date:  2012-10-20       Impact factor: 2.549

6.  Prognostic value of liver stiffness measurement for the liver-related surgical outcomes of patients under hepatic resection: A meta-analysis.

Authors:  Zitong Huang; Jingjing Huang; Tianran Zhou; Hongying Cao; Bo Tan
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

7.  Usefulness of serum Mac-2 binding protein glycosylation isomer in patients undergoing hepatectomy: A case controlled study.

Authors:  Masahide Hiyoshi; Koichi Yano; Atsushi Nanashima; Makoto Ikenoue; Naoya Imamura; Yoshiro Fujii; Takeomi Hamada; Takahiro Nishida
Journal:  Ann Med Surg (Lond)       Date:  2019-10-17

8.  Prediction of Liver Weight Recovery by an Integrated Metabolomics and Machine Learning Approach After 2/3 Partial Hepatectomy.

Authors:  Runbin Sun; Haokai Zhao; Shuzhen Huang; Ran Zhang; Zhenyao Lu; Sijia Li; Guangji Wang; Jiye Aa; Yuan Xie
Journal:  Front Pharmacol       Date:  2021-11-30       Impact factor: 5.810

9.  Prediction of Post-Operative Liver Dysfunction by Serum Markers of Liver Fibrosis in Hepatocellular Carcinoma.

Authors:  Yinghao Shen; Guoming Shi; Cheng Huang; Xiaodong Zhu; Si Chen; Huichuan Sun; Jian Zhou; Jia Fan
Journal:  PLoS One       Date:  2015-10-26       Impact factor: 3.240

  9 in total

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