Stepwise combination algorithms of non-invasive markers to diagnose significant fibrosis in chronic hepatitis C

In chronic hepatitis C, biopsy is the gold standard for assessment of liver fibrosis. Non-invasive markers have been proposed but their use is limited by diagnostic accuracy. Our aim was to increase the diagnostic performance of non-invasive markers of liver fibrosis by combining them in sequential...

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Veröffentlicht in:Journal of hepatology 2006-04, Vol.44 (4), p.686-693
Hauptverfasser: Sebastiani, Giada, Vario, Alessandro, Guido, Maria, Noventa, Franco, Plebani, Mario, Pistis, Roberta, Ferrari, Alessia, Alberti, Alfredo
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container_issue 4
container_start_page 686
container_title Journal of hepatology
container_volume 44
creator Sebastiani, Giada
Vario, Alessandro
Guido, Maria
Noventa, Franco
Plebani, Mario
Pistis, Roberta
Ferrari, Alessia
Alberti, Alfredo
description In chronic hepatitis C, biopsy is the gold standard for assessment of liver fibrosis. Non-invasive markers have been proposed but their use is limited by diagnostic accuracy. Our aim was to increase the diagnostic performance of non-invasive markers of liver fibrosis by combining them in sequential algorithms. One hundred and ninety patients with chronic hepatitis C were evaluated for AST to platelets ratio (APRI), Forns' index and Fibrotest at the time of liver biopsy and stepwise combination algorithms were developed and validated prospectively in 100 additional patients. Three algorithms were developed: (1) significant fibrosis ( F≥2 by METAVIR) was identified with high diagnostic performance (>94% accuracy) using APRI as screening test, followed by Fibrotest in APRI non-classified cases and restricting liver biopsy to patients classified F0–F1 by non-invasive tests. (2) A slightly modified algorithm had similar performance when applied to hepatitis C carriers with normal ALT. (3) Identification of cirrhosis (95% accuracy) was achieved using a dedicated algorithm with different cut-off, reducing by 60–70% the liver biopsies needed. Stepwise combination of non-invasive markers of liver fibrosis improves the diagnostic performance in chronic hepatitis C. Need for liver biopsy is reduced by 50–70% but cannot be completely avoided.
doi_str_mv 10.1016/j.jhep.2006.01.007
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subjects Adult
Algorithms
Aspartate Aminotransferases - blood
Biological and medical sciences
Biomarkers
Biopsy
Blood Platelets - enzymology
Chronic hepatitis C
Female
Fibrosis - blood
Fibrosis - diagnosis
Fibrosis - etiology
Fibrosis - pathology
Gastroenterology. Liver. Pancreas. Abdomen
Hepatitis C, Chronic - blood
Hepatitis C, Chronic - complications
Hepatitis C, Chronic - pathology
Human viral diseases
Humans
Infectious diseases
Liver - pathology
Liver biopsy
Liver fibrosis
Liver. Biliary tract. Portal circulation. Exocrine pancreas
Male
Medical sciences
Middle Aged
Non-invasive markers
Other diseases. Semiology
Predictive Value of Tests
Sensitivity and Specificity
Stepwise combination algorithms
Viral diseases
Viral hepatitis
title Stepwise combination algorithms of non-invasive markers to diagnose significant fibrosis in chronic hepatitis C
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