ISSN |
1948-5182 (online) |
Open Access |
This article is an open-access article that 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/ |
Copyright |
© The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved. |
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Gastroenterology & Hepatology |
Manuscript Type |
Clinical Practice Study |
Article Title |
Proton nuclear magnetic resonance-based metabonomic models for non-invasive diagnosis of liver fibrosis in chronic hepatitis C: Optimizing the classification of intermediate fibrosis
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Manuscript Source |
Invited Manuscript |
All Author List |
Andrea Dória Batista, Carlos Jonnatan Pimentel Barros, Tássia Brena Barroso Carneiro Costa, Michele Maria Gonçalves de Godoy, Ronaldo Dionísio Silva, Joelma Carvalho Santos, Mariana Montenegro de Melo Lira, Norma Thomé Jucá, Edmundo Pessoa de Almeida Lopes and Ricardo Oliveira Silva |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Andrea Dória Batista, PhD, Attending Doctor, Postgraduate Program in Tropical Medicine, Center for Health Sciences, Hospital das Clínicas. Universidade Federal de Pernambuco, Universidade Federal de Pernambuco, Recife 50670-901, Pernambuco, Brazil. adoria04@globo.com |
Key Words |
Metabolomics; Nuclear magnetic resonance spectroscopy; Chronic hepatitis C; Liver fibrosis; Surrogate markers |
Core Tip |
The assessment of liver fibrosis in chronic hepatitis C patients is important to make therapeutic decisions and predict clinical outcomes. Due to various drawbacks related to the use of liver biopsy, individual markers and scores have been validated with feeble accuracy to assess intermediate stages of fibrosis. Our study showed promising results for the metabonomics strategy as a non-invasive tool to distinguish patients with significant fibrosis, advanced fibrosis, and cirrhosis, with sensitivity and specificity values above 95% and high accuracy in the gray zone of aspartate aminotransferase to platelet ratio index and fibrosis index based on four factors, which could avoid a large number of biopsies in these patients. |
Publish Date |
2018-01-26 08:09 |
Citation |
Batista AD, Barros CJP, Costa TBBC, de Godoy MMG, Silva RD, Santos JC, de Melo Lira MM, Jucá NT, Lopes EP, Silva RO. Proton nuclear magnetic resonance-based metabonomic models for non-invasive diagnosis of liver fibrosis in chronic hepatitis C: Optimizing the classification of intermediate fibrosis. World J Hepatol 2018; 10(1): 105-115 |
URL |
http://www.wjgnet.com/1948-5182/full/v10/i1/105.htm |
DOI |
http://dx.doi.org/10.4254/wjh.v10.i1.105 |