Prospective Validation of ELF Test in Comparison with Fibroscan andFibroTest to Predict Liver Fibrosis in Asian Subjects with ChronicHepatitis B

Collection with item attached
2012
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/483669.do
DOI
10.1371/journal.pone.0041964
Title
Prospective Validation of ELF Test in Comparison with Fibroscan andFibroTest to Predict Liver Fibrosis in Asian Subjects with ChronicHepatitis B
Description
This study was supported by the Liver Cirrhosis Clinical ResearchCenter, in part by a grant from the Korea Healthcare technology R & Dproject, Ministry of Health and Welfare, Republic of Korea (no.A102065), and by the Yonsei Liver Blood Bank (YLBB), in part by a grantfrom sanofi-aventis Korea. BioPredictive kindly provided thecomplimentary service for calculation of FT score. The funders had norole in study design, data collection and analysis, decision to publish,or preparation of the manuscript.
abstract
Background and Aims: Liver stiffness measurement (LSM) and FibroTest (FT) are frequently used as non-invasive alternatives for fibrosis staging to liver biopsy. However, to date, diagnostic performances of Enhanced Liver Fibrosis (ELF) test, which consists of hyaluronic acid, aminoterminal propeptide of procollagen type-III, and tissue inhibitor of matrix metalloproteinases-1, have not been compared to those of LSM and FT in Asian chronic hepatitis B (CHB) patients.
Methods: Between June 2010 and November 2011, we prospectively enrolled 170 CHB patients who underwent liver biopsies along with LSM, FT, and ELF. The Batts system was used to assess fibrosis stages.
Results: Areas under receiver operating characteristic curves (AUROCs) to predict significant fibrosis (F >= 2), advanced fibrosis (F >= 3), and cirrhosis (F = 4) were 0.901, 0.860, and 0.862 for ELF, respectively; 0.937, 0.956, and 0.963 for LSM; and 0.896, 0.921, and 0.881 for FT. AUROCs to predict F >= 2 were similar between each other, whereas LSM and FT had better AUROCs than ELF for predicting F >= 3 (both p < 0.05), and LSM predicted F4 more accurately than ELF (p < 0.05). Optimized cutoffs of ELF to maximize sum of sensitivity and specificity were 8.5, 9.4, and 10.1 for F >= 2, F >= 3, and F = 4, respectively. Using suggested ELF, LSM and FT cutoffs to diagnose F1, F2, F3, and F4, 91 (53.5%), 117 (68.8%), and 110 (64.7%) patients, respectively, were correctly classified according to histological results.
Conclusions: ELF demonstrated considerable diagnostic value in fibrosis staging in Asian CHB patients, especially in predicting F >= 2. However, LSM consistently provided better performance for predicting F >= 3 and F4.
provenance
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language
English
author
Kim, Beom Kyung
Kim, Hyon Suk
Park, Jun Yong
Kim, Do Young
Ahn, Sang Hoon
Chon, Chae Yoon
Park, Young Nyun
Han, Kwang-Hyub
Kim, Seung Up
accessioned
2018-09-28T14:53:00Z
available
2018-09-28T14:53:00Z
issued
2012
citation
PLOS ONE(7): 7
issn
1932-6203
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/483669.do
Funder
보건복지부
Funding Program
임상연구인프라조성
Project ID
1465010333
Jurisdiction
Rep.of Korea
Project Name
National Strategic Coordinating Center for Clinical Research
rights
openAccess
type
article


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