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...
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Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0093601&type=printable |
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| author | Magdalena Ydreborg Vera Lisovskaja Martin Lagging Peer Brehm Christensen Nina Langeland Mads Rauning Buhl Court Pedersen Kristine Mørch Rune Wejstål Gunnar Norkrans Magnus Lindh Martti Färkkilä Johan Westin |
| author_facet | Magdalena Ydreborg Vera Lisovskaja Martin Lagging Peer Brehm Christensen Nina Langeland Mads Rauning Buhl Court Pedersen Kristine Mørch Rune Wejstål Gunnar Norkrans Magnus Lindh Martti Färkkilä Johan Westin |
| author_sort | Magdalena Ydreborg |
| collection | DOAJ |
| 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) + (D7-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 | Article |
| id | doaj-art-35eef602e7e04248abd8eba98092990d |
| institution | DOAJ |
| issn | 1932-6203 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-35eef602e7e04248abd8eba98092990d2025-08-20T03:00:34ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0194e9360110.1371/journal.pone.0093601A novel fibrosis index comprising a non-cholesterol sterol accurately predicts HCV-related liver cirrhosis.Magdalena YdreborgVera LisovskajaMartin LaggingPeer Brehm ChristensenNina LangelandMads Rauning BuhlCourt PedersenKristine MørchRune WejstålGunnar NorkransMagnus LindhMartti FärkkiläJohan WestinDiagnosis 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) + (D7-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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0093601&type=printable |
| spellingShingle | Magdalena Ydreborg Vera Lisovskaja Martin Lagging Peer Brehm Christensen Nina Langeland Mads Rauning Buhl Court Pedersen Kristine Mørch Rune Wejstål Gunnar Norkrans Magnus Lindh Martti Färkkilä Johan Westin A novel fibrosis index comprising a non-cholesterol sterol accurately predicts HCV-related liver cirrhosis. PLoS ONE |
| 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 |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0093601&type=printable |
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