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Validation of liver fibrosis biomarker (FibroTest) for assessing liver fibrosis progression: Proof of concept and first application in a large population

Background & Aims Time-dependent statistics have been used to assess liver fibrosis progression (LFP) in liver diseases from birth to first biopsy, in a limited number of patients. Non-invasive biomarkers such as FibroTest (FT) should allow the estimation of LFP on larger populations. We aimed a...

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Published in:Journal of hepatology 2012-09, Vol.57 (3), p.541-548
Main Authors: Poynard, Thierry, Munteanu, Mona, Deckmyn, Olivier, Ngo, Yen, Drane, Fabienne, Castille, Jean Marie, Housset, Chantal, Ratziu, Vlad, Imbert-Bismut, Françoise
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container_title Journal of hepatology
container_volume 57
creator Poynard, Thierry
Munteanu, Mona
Deckmyn, Olivier
Ngo, Yen
Drane, Fabienne
Castille, Jean Marie
Housset, Chantal
Ratziu, Vlad
Imbert-Bismut, Françoise
description Background & Aims Time-dependent statistics have been used to assess liver fibrosis progression (LFP) in liver diseases from birth to first biopsy, in a limited number of patients. Non-invasive biomarkers such as FibroTest (FT) should allow the estimation of LFP on larger populations. We aimed at validating this concept by comparing LFP using FT vs. biopsy (P1) and then at applying the non-invasive method to a large population (P2). Methods In P1, LFP was assessed using biopsy and FT in 2472 untreated patients: 770 with chronic hepatitis C, 723 with hepatitis B, 761 with non-alcoholic fatty liver disease (NAFLD), and 218 with alcoholic fatty liver disease (ALD). In P2, 342,346 interpretable FT prospectively measured were used. LFP was estimated using transition rates (cumulative hazard rate) to cirrhosis (F4) or to minimal fibrosis (>F0). Results In P1, there was a significant concordance between FT and biopsy estimates of hazards with intraclass correlation (ICC) = 0.961 (95% CI 0.948–0.970) and 0.899 (95% CI 0.135–0.969) for F4 and >F0, respectively. This concordance persisted according to the disease and the gender. The more rapid LFP to F4 (biopsy/FT) was observed for men with ALD (1.44/1.62), and the slower for women with NAFLD (0.09/0.02). In P2, the LFP started to increase for men at the age of 30 years. The cumulative fibrosis progression rate to minimal fibrosis in women crossed the “man curve” around the age of 80 years. The following factors were associated with LFP to F4 (all p
doi_str_mv 10.1016/j.jhep.2012.04.025
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Non-invasive biomarkers such as FibroTest (FT) should allow the estimation of LFP on larger populations. We aimed at validating this concept by comparing LFP using FT vs. biopsy (P1) and then at applying the non-invasive method to a large population (P2). Methods In P1, LFP was assessed using biopsy and FT in 2472 untreated patients: 770 with chronic hepatitis C, 723 with hepatitis B, 761 with non-alcoholic fatty liver disease (NAFLD), and 218 with alcoholic fatty liver disease (ALD). In P2, 342,346 interpretable FT prospectively measured were used. LFP was estimated using transition rates (cumulative hazard rate) to cirrhosis (F4) or to minimal fibrosis (&gt;F0). Results In P1, there was a significant concordance between FT and biopsy estimates of hazards with intraclass correlation (ICC) = 0.961 (95% CI 0.948–0.970) and 0.899 (95% CI 0.135–0.969) for F4 and &gt;F0, respectively. This concordance persisted according to the disease and the gender. The more rapid LFP to F4 (biopsy/FT) was observed for men with ALD (1.44/1.62), and the slower for women with NAFLD (0.09/0.02). In P2, the LFP started to increase for men at the age of 30 years. The cumulative fibrosis progression rate to minimal fibrosis in women crossed the “man curve” around the age of 80 years. The following factors were associated with LFP to F4 (all p &lt;0.0001): male gender (Relative Risk = 3.29), HIV co-infection (2.33), and residency in Middle East (2.67) or Eastern Europe (2.15). Conclusions Validated biomarkers such as FibroTest should allow powerful analysis of fibrosis progression in chronic liver diseases and better identification of risk factors.</description><identifier>ISSN: 0168-8278</identifier><identifier>EISSN: 1600-0641</identifier><identifier>DOI: 10.1016/j.jhep.2012.04.025</identifier><identifier>PMID: 22612998</identifier><identifier>CODEN: JOHEEC</identifier><language>eng</language><publisher>Kidlington: Elsevier B.V</publisher><subject>Adult ; Age Factors ; alpha-Macroglobulins - metabolism ; Apolipoprotein A-I - blood ; Bilirubin - blood ; Biological and medical sciences ; Biomarkers - blood ; Biopsy ; Disease Progression ; Europe, Eastern - ethnology ; Fatty Liver, Alcoholic - complications ; Female ; Fibrosis progression rates ; FibroSure ; FibroTest ; gamma-Glutamyltransferase - blood ; Gastroenterology and Hepatology ; Gastroenterology. Liver. Pancreas. Abdomen ; Haptoglobins - metabolism ; Hepatitis B, Chronic - complications ; Hepatitis C, Chronic - complications ; HIV coinfection ; Human viral diseases ; Humans ; Immunodeficiencies ; Immunodeficiencies. Immunoglobulinopathies ; Immunopathology ; Infectious diseases ; Liver Cirrhosis - blood ; Liver Cirrhosis - etiology ; Liver Cirrhosis - pathology ; Liver. Biliary tract. Portal circulation. Exocrine pancreas ; Male ; Medical sciences ; Middle Aged ; Middle East - ethnology ; Normal transaminases ; Other diseases. Semiology ; Risk factors of fibrosis ; Viral diseases ; Viral diseases of the lymphoid tissue and the blood. Aids</subject><ispartof>Journal of hepatology, 2012-09, Vol.57 (3), p.541-548</ispartof><rights>European Association for the Study of the Liver</rights><rights>2012 European Association for the Study of the Liver</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2012 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c441t-f61e8b1dbb58f78f0409338c4454beef5e49f6eeec4e149e440d6275f5756633</citedby><cites>FETCH-LOGICAL-c441t-f61e8b1dbb58f78f0409338c4454beef5e49f6eeec4e149e440d6275f5756633</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=26255955$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22612998$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Poynard, Thierry</creatorcontrib><creatorcontrib>Munteanu, Mona</creatorcontrib><creatorcontrib>Deckmyn, Olivier</creatorcontrib><creatorcontrib>Ngo, Yen</creatorcontrib><creatorcontrib>Drane, Fabienne</creatorcontrib><creatorcontrib>Castille, Jean Marie</creatorcontrib><creatorcontrib>Housset, Chantal</creatorcontrib><creatorcontrib>Ratziu, Vlad</creatorcontrib><creatorcontrib>Imbert-Bismut, Françoise</creatorcontrib><title>Validation of liver fibrosis biomarker (FibroTest) for assessing liver fibrosis progression: Proof of concept and first application in a large population</title><title>Journal of hepatology</title><addtitle>J Hepatol</addtitle><description>Background &amp; Aims Time-dependent statistics have been used to assess liver fibrosis progression (LFP) in liver diseases from birth to first biopsy, in a limited number of patients. Non-invasive biomarkers such as FibroTest (FT) should allow the estimation of LFP on larger populations. We aimed at validating this concept by comparing LFP using FT vs. biopsy (P1) and then at applying the non-invasive method to a large population (P2). Methods In P1, LFP was assessed using biopsy and FT in 2472 untreated patients: 770 with chronic hepatitis C, 723 with hepatitis B, 761 with non-alcoholic fatty liver disease (NAFLD), and 218 with alcoholic fatty liver disease (ALD). In P2, 342,346 interpretable FT prospectively measured were used. LFP was estimated using transition rates (cumulative hazard rate) to cirrhosis (F4) or to minimal fibrosis (&gt;F0). Results In P1, there was a significant concordance between FT and biopsy estimates of hazards with intraclass correlation (ICC) = 0.961 (95% CI 0.948–0.970) and 0.899 (95% CI 0.135–0.969) for F4 and &gt;F0, respectively. This concordance persisted according to the disease and the gender. The more rapid LFP to F4 (biopsy/FT) was observed for men with ALD (1.44/1.62), and the slower for women with NAFLD (0.09/0.02). In P2, the LFP started to increase for men at the age of 30 years. The cumulative fibrosis progression rate to minimal fibrosis in women crossed the “man curve” around the age of 80 years. The following factors were associated with LFP to F4 (all p &lt;0.0001): male gender (Relative Risk = 3.29), HIV co-infection (2.33), and residency in Middle East (2.67) or Eastern Europe (2.15). Conclusions Validated biomarkers such as FibroTest should allow powerful analysis of fibrosis progression in chronic liver diseases and better identification of risk factors.</description><subject>Adult</subject><subject>Age Factors</subject><subject>alpha-Macroglobulins - metabolism</subject><subject>Apolipoprotein A-I - blood</subject><subject>Bilirubin - blood</subject><subject>Biological and medical sciences</subject><subject>Biomarkers - blood</subject><subject>Biopsy</subject><subject>Disease Progression</subject><subject>Europe, Eastern - ethnology</subject><subject>Fatty Liver, Alcoholic - complications</subject><subject>Female</subject><subject>Fibrosis progression rates</subject><subject>FibroSure</subject><subject>FibroTest</subject><subject>gamma-Glutamyltransferase - blood</subject><subject>Gastroenterology and Hepatology</subject><subject>Gastroenterology. Liver. Pancreas. Abdomen</subject><subject>Haptoglobins - metabolism</subject><subject>Hepatitis B, Chronic - complications</subject><subject>Hepatitis C, Chronic - complications</subject><subject>HIV coinfection</subject><subject>Human viral diseases</subject><subject>Humans</subject><subject>Immunodeficiencies</subject><subject>Immunodeficiencies. Immunoglobulinopathies</subject><subject>Immunopathology</subject><subject>Infectious diseases</subject><subject>Liver Cirrhosis - blood</subject><subject>Liver Cirrhosis - etiology</subject><subject>Liver Cirrhosis - pathology</subject><subject>Liver. Biliary tract. Portal circulation. Exocrine pancreas</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Middle East - ethnology</subject><subject>Normal transaminases</subject><subject>Other diseases. Semiology</subject><subject>Risk factors of fibrosis</subject><subject>Viral diseases</subject><subject>Viral diseases of the lymphoid tissue and the blood. 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Liver. Pancreas. Abdomen</topic><topic>Haptoglobins - metabolism</topic><topic>Hepatitis B, Chronic - complications</topic><topic>Hepatitis C, Chronic - complications</topic><topic>HIV coinfection</topic><topic>Human viral diseases</topic><topic>Humans</topic><topic>Immunodeficiencies</topic><topic>Immunodeficiencies. Immunoglobulinopathies</topic><topic>Immunopathology</topic><topic>Infectious diseases</topic><topic>Liver Cirrhosis - blood</topic><topic>Liver Cirrhosis - etiology</topic><topic>Liver Cirrhosis - pathology</topic><topic>Liver. Biliary tract. Portal circulation. Exocrine pancreas</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Middle East - ethnology</topic><topic>Normal transaminases</topic><topic>Other diseases. Semiology</topic><topic>Risk factors of fibrosis</topic><topic>Viral diseases</topic><topic>Viral diseases of the lymphoid tissue and the blood. Aids</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Poynard, Thierry</creatorcontrib><creatorcontrib>Munteanu, Mona</creatorcontrib><creatorcontrib>Deckmyn, Olivier</creatorcontrib><creatorcontrib>Ngo, Yen</creatorcontrib><creatorcontrib>Drane, Fabienne</creatorcontrib><creatorcontrib>Castille, Jean Marie</creatorcontrib><creatorcontrib>Housset, Chantal</creatorcontrib><creatorcontrib>Ratziu, Vlad</creatorcontrib><creatorcontrib>Imbert-Bismut, Françoise</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of hepatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Poynard, Thierry</au><au>Munteanu, Mona</au><au>Deckmyn, Olivier</au><au>Ngo, Yen</au><au>Drane, Fabienne</au><au>Castille, Jean Marie</au><au>Housset, Chantal</au><au>Ratziu, Vlad</au><au>Imbert-Bismut, Françoise</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of liver fibrosis biomarker (FibroTest) for assessing liver fibrosis progression: Proof of concept and first application in a large population</atitle><jtitle>Journal of hepatology</jtitle><addtitle>J Hepatol</addtitle><date>2012-09-01</date><risdate>2012</risdate><volume>57</volume><issue>3</issue><spage>541</spage><epage>548</epage><pages>541-548</pages><issn>0168-8278</issn><eissn>1600-0641</eissn><coden>JOHEEC</coden><abstract>Background &amp; Aims Time-dependent statistics have been used to assess liver fibrosis progression (LFP) in liver diseases from birth to first biopsy, in a limited number of patients. Non-invasive biomarkers such as FibroTest (FT) should allow the estimation of LFP on larger populations. We aimed at validating this concept by comparing LFP using FT vs. biopsy (P1) and then at applying the non-invasive method to a large population (P2). Methods In P1, LFP was assessed using biopsy and FT in 2472 untreated patients: 770 with chronic hepatitis C, 723 with hepatitis B, 761 with non-alcoholic fatty liver disease (NAFLD), and 218 with alcoholic fatty liver disease (ALD). In P2, 342,346 interpretable FT prospectively measured were used. LFP was estimated using transition rates (cumulative hazard rate) to cirrhosis (F4) or to minimal fibrosis (&gt;F0). Results In P1, there was a significant concordance between FT and biopsy estimates of hazards with intraclass correlation (ICC) = 0.961 (95% CI 0.948–0.970) and 0.899 (95% CI 0.135–0.969) for F4 and &gt;F0, respectively. This concordance persisted according to the disease and the gender. The more rapid LFP to F4 (biopsy/FT) was observed for men with ALD (1.44/1.62), and the slower for women with NAFLD (0.09/0.02). In P2, the LFP started to increase for men at the age of 30 years. The cumulative fibrosis progression rate to minimal fibrosis in women crossed the “man curve” around the age of 80 years. The following factors were associated with LFP to F4 (all p &lt;0.0001): male gender (Relative Risk = 3.29), HIV co-infection (2.33), and residency in Middle East (2.67) or Eastern Europe (2.15). Conclusions Validated biomarkers such as FibroTest should allow powerful analysis of fibrosis progression in chronic liver diseases and better identification of risk factors.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><pmid>22612998</pmid><doi>10.1016/j.jhep.2012.04.025</doi><tpages>8</tpages></addata></record>
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subjects Adult
Age Factors
alpha-Macroglobulins - metabolism
Apolipoprotein A-I - blood
Bilirubin - blood
Biological and medical sciences
Biomarkers - blood
Biopsy
Disease Progression
Europe, Eastern - ethnology
Fatty Liver, Alcoholic - complications
Female
Fibrosis progression rates
FibroSure
FibroTest
gamma-Glutamyltransferase - blood
Gastroenterology and Hepatology
Gastroenterology. Liver. Pancreas. Abdomen
Haptoglobins - metabolism
Hepatitis B, Chronic - complications
Hepatitis C, Chronic - complications
HIV coinfection
Human viral diseases
Humans
Immunodeficiencies
Immunodeficiencies. Immunoglobulinopathies
Immunopathology
Infectious diseases
Liver Cirrhosis - blood
Liver Cirrhosis - etiology
Liver Cirrhosis - pathology
Liver. Biliary tract. Portal circulation. Exocrine pancreas
Male
Medical sciences
Middle Aged
Middle East - ethnology
Normal transaminases
Other diseases. Semiology
Risk factors of fibrosis
Viral diseases
Viral diseases of the lymphoid tissue and the blood. Aids
title Validation of liver fibrosis biomarker (FibroTest) for assessing liver fibrosis progression: Proof of concept and first application in a large population
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