Literature DB >> 21805422

Serum connective tissue markers as predictors of advanced fibrosis in patients with chronic hepatitis B and D.

Gülseren Seven1, Senem Ceren Karatayli, S Kenan Köse, Mustafa Yakut, Gökhan Kabaçam, Murat Törüner, Aylin Okçu Heper, Michael Voelker, Esra Erden, A Mithat Bozdayi, Ozden Uzunalımoğlu, Hakan Bozkaya, Cihan Yurdaydin, Detlef Schuppan.   

Abstract

BACKGROUND/AIMS: Liver biopsy to assess fibrosis is invasive and prone to sampling error. While algorithms of serum markers to predict fibrosis stage have been described for chronic hepatitis C, these cannot be applied equally well to hepatitis B.
METHODS: We therefore determined 9 serum fibrosis markers, liver biochemical tests and ultrasound parameters in 109 consecutive adult patients with chronic hepatitis B and D. All patients had compensated liver disease. Using the METAVIR score, advanced disease was defined as fibrosis stage ≥F2, and active inflammation as grade ≥A2. A gold standard was created considering splenomegaly and/or platelets <150,000 as indicators of advanced fibrosis irrespective of histology. Area under receiver operating characteristics curves was used for assessment of single markers and odds ratio for their combinations.
RESULTS: Patients with advanced disease were older, had lower albumin, higher gamma glutamyl transferase and lower platelet. Levels of 6 of the 9 fibrosis markers, tissue inhibitor of metalloproteinases-1, procollagen type III aminoterminal propeptide, matrix metalloproteinase-2, laminin, hyaluronan and collagen IV correlated with advanced fibrosis. Markers useful for fibrosis prediction also predicted marked inflammation. Using the gold standard, age, prothrombin time, gamma glutamyl transferase and albumin were independent predictors of fibrosis with odds ratio's of 3.11, 4.18, 3.35 and 5.25, respectively. Their combined use predicted fibrosis with an odds ratio of 228.8. Tissue inhibitor of metalloproteinases-1 and hyaluronan were powerful predictors of fibrosis (Odds ratio's of 8.65 and 8.38). Their combined use revealed an odds ratio of 28.6, when compared with the gold standard.
CONCLUSION: In conclusion, advanced liver fibrosis in chronic hepatitis B and D may be predicted with use of these two fibrosis markers.

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Year:  2011        PMID: 21805422     DOI: 10.4318/tjg.2011.0217

Source DB:  PubMed          Journal:  Turk J Gastroenterol        ISSN: 1300-4948            Impact factor:   1.852


  6 in total

1.  Correlation of serum liver fibrosis markers with severity of liver dysfunction in liver cirrhosis: a retrospective cross-sectional study.

Authors:  Cuihong Zhu; Xingshun Qi; Hongyu Li; Ying Peng; Junna Dai; Jiang Chen; Chunlian Xia; Yue Hou; Wenwen Zhang; Xiaozhong Guo
Journal:  Int J Clin Exp Med       Date:  2015-04-15

Review 2.  Fibrosis assessment in patients with chronic hepatitis B virus (HBV) infection.

Authors:  Pathik Parikh; John D Ryan; Emmanuel A Tsochatzis
Journal:  Ann Transl Med       Date:  2017-02

Review 3.  Hyaluronic Acid: from biochemical characteristics to its clinical translation in assessment of liver fibrosis.

Authors:  Sahar Rostami; Hadi Parsian
Journal:  Hepat Mon       Date:  2013-12-14       Impact factor: 0.660

4.  Serum Liver Fibrosis Markers in the Prognosis of Liver Cirrhosis: A Prospective Observational Study.

Authors:  Xingshun Qi; Xu Liu; Yongguo Zhang; Yue Hou; Linan Ren; Chunyan Wu; Jiang Chen; Chunlian Xia; Jiajun Zhao; Di Wang; Yanlin Zhang; Xia Zhang; Hao Lin; Hezhi Wang; Jinling Wang; Zhongmin Cui; Xueyan Li; Han Deng; Feifei Hou; Ying Peng; Xueying Wang; Xiaodong Shao; Hongyu Li; Xiaozhong Guo
Journal:  Med Sci Monit       Date:  2016-08-02

5.  Brief report: Circulating markers of fibrosis are associated with immune reconstitution status in HIV-infected men.

Authors:  F A Tobolowsky; N Wada; O Martinez-Maza; L Magpantay; S L Koletar; F J Palella; T T Brown; J E Lake
Journal:  PLoS One       Date:  2018-01-30       Impact factor: 3.240

6.  A Novel Prediction Model for Significant Liver Fibrosis in Patients with Chronic Hepatitis B.

Authors:  Yaqiong Chen; Jiao Gong; Wenying Zhou; Yusheng Jie; Zhaoxia Li; Yutian Chong; Bo Hu
Journal:  Biomed Res Int       Date:  2020-07-08       Impact factor: 3.411

  6 in total

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