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A single blood test adjusted for different liver fibrosis targets improves fibrosis staging and especially cirrhosis diagnosis

Fibrosis blood tests are usually developed using significant fibrosis, which is a unique diagnostic target; however, these tests are employed for other diagnostic targets, such as cirrhosis. We aimed to improve fibrosis staging accuracy by simultaneously targeting biomarkers for several diagnostic t...

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Autores principales: Calès, Paul, Boursier, Jérôme, Oberti, Frédéric, Moal, Valérie, Fouchard Hubert, Isabelle, Bertrais, Sandrine, Hunault, Gilles, Rousselet, Marie Christine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880198/
https://www.ncbi.nlm.nih.gov/pubmed/29619423
http://dx.doi.org/10.1002/hep4.1161
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author Calès, Paul
Boursier, Jérôme
Oberti, Frédéric
Moal, Valérie
Fouchard Hubert, Isabelle
Bertrais, Sandrine
Hunault, Gilles
Rousselet, Marie Christine
author_facet Calès, Paul
Boursier, Jérôme
Oberti, Frédéric
Moal, Valérie
Fouchard Hubert, Isabelle
Bertrais, Sandrine
Hunault, Gilles
Rousselet, Marie Christine
author_sort Calès, Paul
collection PubMed
description Fibrosis blood tests are usually developed using significant fibrosis, which is a unique diagnostic target; however, these tests are employed for other diagnostic targets, such as cirrhosis. We aimed to improve fibrosis staging accuracy by simultaneously targeting biomarkers for several diagnostic targets. A total of 3,809 patients were included, comprising 1,012 individuals with chronic hepatitis C (CHC) into a derivation population and 2,797 individuals into validation populations of different etiologies (CHC, chronic hepatitis B, human immunodeficiency virus/CHC, nonalcoholic fatty liver disease, alcohol) using Metavir fibrosis stages as reference. FibroMeter biomarkers were targeted for different fibrosis‐stage combinations into classical scores by logistic regression. Independent scores were combined into a single score reflecting Metavir stages by linear regression and called Multi‐FibroMeter Version Second Generation (V2G). The primary objective was to combine the advantages of a test targeted for significant fibrosis (FibroMeter(V2G)) with those of a test targeted for cirrhosis (CirrhoMeter(V2G)). In the derivation CHC population, we first compared Multi‐FibroMeter(V2G) to FibroMeter(V2G) and observed significant increases in the cirrhosis area under the receiver operating characteristic curve (AUROC), Obuchowski index (reflecting all fibrosis‐stage AUROCs), and classification metric (six classes expressed as a correctly classified percentage) and a nonsignificant increase in significant fibrosis AUROC. Thereafter, we compared it to CirroMeter(V2G) and observed a nonsignificant increase in the cirrhosis AUROC. In all 3,809 patients, respective accuracies for Multi‐FibroMeter(V2G) and FibroMeter(V2G) were the following: cirrhosis AUROC, 0.906 versus 0.878 (P < 0.001; versus CirroMeter(V2G), 0.897, P = 0.014); Obuchowski index, 0.795 versus 0.791 (P = 0.059); classification, 86.0% versus 82.1% (P < 0.001); significant fibrosis AUROC, 0.833 versus 0.832 (P = 0.366). Multi‐FibroMeter(V2G) had the highest correlation with the area of portoseptal fibrosis and the highest reproducibility over time. Correct classification rates of Multi‐FibroMeter with hyaluronate (V2G, 86.0%) or without (V3G, 86.1%) did not differ (P = 0.938). Conclusion: Multitargeting biomarkers significantly improves fibrosis staging and especially cirrhosis diagnosis compared to classical single‐targeted blood tests. (Hepatology Communications 2018;2:455‐466)
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spelling pubmed-58801982018-04-04 A single blood test adjusted for different liver fibrosis targets improves fibrosis staging and especially cirrhosis diagnosis Calès, Paul Boursier, Jérôme Oberti, Frédéric Moal, Valérie Fouchard Hubert, Isabelle Bertrais, Sandrine Hunault, Gilles Rousselet, Marie Christine Hepatol Commun Original Articles Fibrosis blood tests are usually developed using significant fibrosis, which is a unique diagnostic target; however, these tests are employed for other diagnostic targets, such as cirrhosis. We aimed to improve fibrosis staging accuracy by simultaneously targeting biomarkers for several diagnostic targets. A total of 3,809 patients were included, comprising 1,012 individuals with chronic hepatitis C (CHC) into a derivation population and 2,797 individuals into validation populations of different etiologies (CHC, chronic hepatitis B, human immunodeficiency virus/CHC, nonalcoholic fatty liver disease, alcohol) using Metavir fibrosis stages as reference. FibroMeter biomarkers were targeted for different fibrosis‐stage combinations into classical scores by logistic regression. Independent scores were combined into a single score reflecting Metavir stages by linear regression and called Multi‐FibroMeter Version Second Generation (V2G). The primary objective was to combine the advantages of a test targeted for significant fibrosis (FibroMeter(V2G)) with those of a test targeted for cirrhosis (CirrhoMeter(V2G)). In the derivation CHC population, we first compared Multi‐FibroMeter(V2G) to FibroMeter(V2G) and observed significant increases in the cirrhosis area under the receiver operating characteristic curve (AUROC), Obuchowski index (reflecting all fibrosis‐stage AUROCs), and classification metric (six classes expressed as a correctly classified percentage) and a nonsignificant increase in significant fibrosis AUROC. Thereafter, we compared it to CirroMeter(V2G) and observed a nonsignificant increase in the cirrhosis AUROC. In all 3,809 patients, respective accuracies for Multi‐FibroMeter(V2G) and FibroMeter(V2G) were the following: cirrhosis AUROC, 0.906 versus 0.878 (P < 0.001; versus CirroMeter(V2G), 0.897, P = 0.014); Obuchowski index, 0.795 versus 0.791 (P = 0.059); classification, 86.0% versus 82.1% (P < 0.001); significant fibrosis AUROC, 0.833 versus 0.832 (P = 0.366). Multi‐FibroMeter(V2G) had the highest correlation with the area of portoseptal fibrosis and the highest reproducibility over time. Correct classification rates of Multi‐FibroMeter with hyaluronate (V2G, 86.0%) or without (V3G, 86.1%) did not differ (P = 0.938). Conclusion: Multitargeting biomarkers significantly improves fibrosis staging and especially cirrhosis diagnosis compared to classical single‐targeted blood tests. (Hepatology Communications 2018;2:455‐466) John Wiley and Sons Inc. 2018-03-05 /pmc/articles/PMC5880198/ /pubmed/29619423 http://dx.doi.org/10.1002/hep4.1161 Text en © 2018 The Authors. Hepatology Communications published by Wiley Periodicals, Inc., on behalf of the American Association for the Study of Liver Diseases. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Calès, Paul
Boursier, Jérôme
Oberti, Frédéric
Moal, Valérie
Fouchard Hubert, Isabelle
Bertrais, Sandrine
Hunault, Gilles
Rousselet, Marie Christine
A single blood test adjusted for different liver fibrosis targets improves fibrosis staging and especially cirrhosis diagnosis
title A single blood test adjusted for different liver fibrosis targets improves fibrosis staging and especially cirrhosis diagnosis
title_full A single blood test adjusted for different liver fibrosis targets improves fibrosis staging and especially cirrhosis diagnosis
title_fullStr A single blood test adjusted for different liver fibrosis targets improves fibrosis staging and especially cirrhosis diagnosis
title_full_unstemmed A single blood test adjusted for different liver fibrosis targets improves fibrosis staging and especially cirrhosis diagnosis
title_short A single blood test adjusted for different liver fibrosis targets improves fibrosis staging and especially cirrhosis diagnosis
title_sort single blood test adjusted for different liver fibrosis targets improves fibrosis staging and especially cirrhosis diagnosis
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880198/
https://www.ncbi.nlm.nih.gov/pubmed/29619423
http://dx.doi.org/10.1002/hep4.1161
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