A Novel Fibrosis Index Comprising a Non-Cholesterol Sterol Accurately Predicts HCV-Related Liver Cirrhosis
Artikel i vetenskaplig tidskrift, 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.

JOURNAL OF LIPID RESEARCH

1988

PRIMARY BILIARY-CIRRHOSIS

P20

CHRONIC VIRAL-HEPATITIS

STANDARD LABORATORY

TRANSIENT ELASTOGRAPHY

V29

TESTS

INSULIN-RESISTANCE

CHRONIC HEPATITIS-C

AMERICAN JOURNAL OF EPIDEMIOLOGY

TRANSPLANTATION

VIRUS-INFECTION

STEATOSIS

V131

1990

ETTINEN TA

P43

SERUM MARKERS

ETTINEN TA

Författare

Magdalena Ydreborg

Göteborgs universitet

Vera Lisovskaja

Göteborgs universitet

Chalmers, Matematiska vetenskaper, matematisk statistik

Martin Lagging

Göteborgs universitet

Peer B Christensen

Odense Universitetshospital

Nina Langeland

Universitetet i Bergen

Mads Rauning Buhl

Aarhus Universitet

Court Pedersen

Odense Universitetshospital

Kristine Mørch

Universitetet i Bergen

Rune Wejstål

Göteborgs universitet

Gunnar Norkrans

Göteborgs universitet

Magnus Lindh

Göteborgs universitet

Martti Färkkilä

Helsingin Yliopisto

Johan Westin

Göteborgs universitet

PLoS ONE

1932-6203 (ISSN)

Vol. 9 artikel nr e93601- e93601

Ämneskategorier

Infektionsmedicin

DOI

10.1371/journal.pone.0093601