A Novel Fibrosis Index Comprising a Non-Cholesterol Sterol Accurately Predicts HCV-Related Liver Cirrhosis
Journal article, 2014

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+ (agex0.11) + (BMI (kg/m(2))x0.23) + (D-7-lathosterol (mu g/100 mg cholesterol)x(-0.013)) + (Platelet count (x10(9)/L)x(-0.018)) + (Prothrombin-INRx3.69). 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.

1988

JOURNAL OF LIPID RESEARCH

TRANSIENT ELASTOGRAPHY

CHRONIC VIRAL-HEPATITIS

ETTINEN TA

STEATOSIS

INSULIN-RESISTANCE

V131

ETTINEN TA

V29

AMERICAN JOURNAL OF EPIDEMIOLOGY

VIRUS-INFECTION

P20

TESTS

P43

CHRONIC HEPATITIS-C

1990

STANDARD LABORATORY

TRANSPLANTATION

SERUM MARKERS

PRIMARY BILIARY-CIRRHOSIS

Author

Magdalena Ydreborg

University of Gothenburg

Vera Lisovskaja

University of Gothenburg

Chalmers, Mathematical Sciences, Mathematical Statistics

Martin Lagging

University of Gothenburg

Peer B Christensen

Odense Universitetshospital

Nina Langeland

University of Bergen

Mads Rauning Buhl

Aarhus University

Court Pedersen

Odense Universitetshospital

Kristine Mørch

University of Bergen

Rune Wejstål

University of Gothenburg

Gunnar Norkrans

University of Gothenburg

Magnus Lindh

University of Gothenburg

Martti Färkkilä

University of Helsinki

Johan Westin

University of Gothenburg

PLoS ONE

1932-6203 (ISSN)

Vol. 9 4 artikel nr e93601- e93601

Subject Categories

Infectious Medicine

DOI

10.1371/journal.pone.0093601

More information

Latest update

5/23/2018