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Determination of liver fibrosis stages in Egyptian chronic hepatitis B patients by a noninvasive tool

BACKGROUND/AIM: Hepatitis B virus (HBV) infection is the leading cause of liver fibrosis (LF). The prognosis and management of patients with chronic hepatitis B virus depend on the amount and progression of liver fibrosis. Angiopoietin-like protein 2 (Angptl2) is not only a chronic inflammatory medi...

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Detalles Bibliográficos
Autores principales: SERAG, Waleed Mohamed, MOHAMED, Magdy Mahmoud, ELSAYED, Basem Eysa, ABD-ELHAMED, Sara Mahmoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Scientific and Technological Research Council of Turkey 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018308/
https://www.ncbi.nlm.nih.gov/pubmed/31385666
http://dx.doi.org/10.3906/sag-1812-165
Descripción
Sumario:BACKGROUND/AIM: Hepatitis B virus (HBV) infection is the leading cause of liver fibrosis (LF). The prognosis and management of patients with chronic hepatitis B virus depend on the amount and progression of liver fibrosis. Angiopoietin-like protein 2 (Angptl2) is not only a chronic inflammatory mediator, but also a tissue-remodeling factor. The aim of this study is to explore the predictive value of Angptl2 in different fibrosis stages in patients chronically infected with HBV. MATERIALS AND METHODS: Eighty patients with chronic HBV infection undergoing Fibroscan were included. Serum concentrations of Angptl2 were detected using a commercial ELISA kit. RESULTS: Angptl2 levels were significantly associated with liver fibrosis stages (P = 0.02). The area under the curve (AUC) of Angptl2 for distinguishing patients who showed significant fibrosis (F2–F4) was70.2%. Angptl2 with fibrosis-4 (FIB-4) and Angptl2 with AST/platelets ratio (APRI) performed best with an AUC of 92.5%. CONCLUSION: In patients with chronic HBV infection, Angptl2 level represents a potential biomarker independently associated with fibrosis stages. The combination of Angptl2 with FIB-4 or Angptl2 with APRI performed better than the existing models for diagnosing significant fibrosis.