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A Novel Fibrosis Index Comprising a Non-Cholesterol Sterol Accurately Predicts HCV-Related Liver Cirrhosis
Diagnosis of liver cirrhosis is essential in the management of chronic hepatitis C virus (HCV) infection. Liver biopsy is invasive and thus entails a risk of complications as well as a potential risk of sampling error. Therefore, non-invasive diagnostic tools are preferential. The aim of the present...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3974766/ https://www.ncbi.nlm.nih.gov/pubmed/24699777 http://dx.doi.org/10.1371/journal.pone.0093601 |
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author | Ydreborg, Magdalena Lisovskaja, Vera Lagging, Martin Brehm Christensen, Peer Langeland, Nina Buhl, Mads Rauning Pedersen, Court Mørch, Kristine Wejstål, Rune Norkrans, Gunnar Lindh, Magnus Färkkilä, Martti Westin, Johan |
author_facet | Ydreborg, Magdalena Lisovskaja, Vera Lagging, Martin Brehm Christensen, Peer Langeland, Nina Buhl, Mads Rauning Pedersen, Court Mørch, Kristine Wejstål, Rune Norkrans, Gunnar Lindh, Magnus Färkkilä, Martti Westin, Johan |
author_sort | Ydreborg, Magdalena |
collection | PubMed |
description | Diagnosis of liver cirrhosis is essential in the management of chronic hepatitis C virus (HCV) infection. Liver biopsy is invasive and thus entails a risk of complications as well as a potential risk of sampling error. Therefore, non-invasive diagnostic tools are preferential. The aim of the present study was to create a model for accurate prediction of liver cirrhosis based on patient characteristics and biomarkers of liver fibrosis, including a panel of non-cholesterol sterols reflecting cholesterol synthesis and absorption and secretion. We evaluated variables with potential predictive significance for liver fibrosis in 278 patients originally included in a multicenter phase III treatment trial for chronic HCV infection. A stepwise multivariate logistic model selection was performed with liver cirrhosis, defined as Ishak fibrosis stage 5–6, as the outcome variable. A new index, referred to as Nordic Liver Index (NoLI) in the paper, was based on the model: Log-odds (predicting cirrhosis) = −12.17+ (age×0.11) + (BMI (kg/m(2))×0.23) + (D(7)-lathosterol (μg/100 mg cholesterol)×(−0.013)) + (Platelet count (x10(9)/L)×(−0.018)) + (Prothrombin-INR×3.69). The area under the ROC curve (AUROC) for prediction of cirrhosis was 0.91 (95% CI 0.86–0.96). The index was validated in a separate cohort of 83 patients and the AUROC for this cohort was similar (0.90; 95% CI: 0.82–0.98). In conclusion, the new index may complement other methods in diagnosing cirrhosis in patients with chronic HCV infection. |
format | Online Article Text |
id | pubmed-3974766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39747662014-04-08 A Novel Fibrosis Index Comprising a Non-Cholesterol Sterol Accurately Predicts HCV-Related Liver Cirrhosis Ydreborg, Magdalena Lisovskaja, Vera Lagging, Martin Brehm Christensen, Peer Langeland, Nina Buhl, Mads Rauning Pedersen, Court Mørch, Kristine Wejstål, Rune Norkrans, Gunnar Lindh, Magnus Färkkilä, Martti Westin, Johan PLoS One Research Article Diagnosis of liver cirrhosis is essential in the management of chronic hepatitis C virus (HCV) infection. Liver biopsy is invasive and thus entails a risk of complications as well as a potential risk of sampling error. Therefore, non-invasive diagnostic tools are preferential. The aim of the present study was to create a model for accurate prediction of liver cirrhosis based on patient characteristics and biomarkers of liver fibrosis, including a panel of non-cholesterol sterols reflecting cholesterol synthesis and absorption and secretion. We evaluated variables with potential predictive significance for liver fibrosis in 278 patients originally included in a multicenter phase III treatment trial for chronic HCV infection. A stepwise multivariate logistic model selection was performed with liver cirrhosis, defined as Ishak fibrosis stage 5–6, as the outcome variable. A new index, referred to as Nordic Liver Index (NoLI) in the paper, was based on the model: Log-odds (predicting cirrhosis) = −12.17+ (age×0.11) + (BMI (kg/m(2))×0.23) + (D(7)-lathosterol (μg/100 mg cholesterol)×(−0.013)) + (Platelet count (x10(9)/L)×(−0.018)) + (Prothrombin-INR×3.69). The area under the ROC curve (AUROC) for prediction of cirrhosis was 0.91 (95% CI 0.86–0.96). The index was validated in a separate cohort of 83 patients and the AUROC for this cohort was similar (0.90; 95% CI: 0.82–0.98). In conclusion, the new index may complement other methods in diagnosing cirrhosis in patients with chronic HCV infection. Public Library of Science 2014-04-03 /pmc/articles/PMC3974766/ /pubmed/24699777 http://dx.doi.org/10.1371/journal.pone.0093601 Text en © 2014 Ydreborg et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Ydreborg, Magdalena Lisovskaja, Vera Lagging, Martin Brehm Christensen, Peer Langeland, Nina Buhl, Mads Rauning Pedersen, Court Mørch, Kristine Wejstål, Rune Norkrans, Gunnar Lindh, Magnus Färkkilä, Martti Westin, Johan A Novel Fibrosis Index Comprising a Non-Cholesterol Sterol Accurately Predicts HCV-Related Liver Cirrhosis |
title | A Novel Fibrosis Index Comprising a Non-Cholesterol Sterol Accurately Predicts HCV-Related Liver Cirrhosis |
title_full | A Novel Fibrosis Index Comprising a Non-Cholesterol Sterol Accurately Predicts HCV-Related Liver Cirrhosis |
title_fullStr | A Novel Fibrosis Index Comprising a Non-Cholesterol Sterol Accurately Predicts HCV-Related Liver Cirrhosis |
title_full_unstemmed | A Novel Fibrosis Index Comprising a Non-Cholesterol Sterol Accurately Predicts HCV-Related Liver Cirrhosis |
title_short | A Novel Fibrosis Index Comprising a Non-Cholesterol Sterol Accurately Predicts HCV-Related Liver Cirrhosis |
title_sort | novel fibrosis index comprising a non-cholesterol sterol accurately predicts hcv-related liver cirrhosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3974766/ https://www.ncbi.nlm.nih.gov/pubmed/24699777 http://dx.doi.org/10.1371/journal.pone.0093601 |
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