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.
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
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) 19326203 (eISSN)
Vol. 9 4 artikel nr e93601- e93601Ämneskategorier
Infektionsmedicin
DOI
10.1371/journal.pone.0093601