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Título: | A new algorithm shows superior ability to discriminate liver fibrosis stages in chronic hepatitis C |
Autor: | Varchetta, Stefania; Mele, Dalila; D'Ambrosio, Roberta; Perbellini, Riccardo; Lombardi, Andrea; Rojas, Ángela; Paolucci, Stefania; Baldanti, Fausto; Oliviero, Barbara; Mantovani, Stefania; Tinelli, Carmine; De Silvestri, Annalisa; Romero-Gómez, Manuel CSIC ORCID CVN; Lampertico, Pietro; Mondelli, Mario U. | Palabras clave: | Chronic hepatitis C Diagnosis Liver fibrosis Siglec-7 |
Fecha de publicación: | oct-2021 | Editor: | John Wiley & Sons | Citación: | Journal of Viral Hepatitis 28(10): 1443-1451 (2021) | Resumen: | Previous evidence suggests that sialic acid-binding Ig-like lectin 7 (Siglec-7) protein is significantly increased in patients with chronic hepatitis C virus (HCV) infection and directly correlates with clinical parameters of liver inflammation and fibrosis. The aim of this study was to determine the diagnostic value of Siglec-7 as a non-invasive tool to assess liver fibrosis in patients with chronic hepatitis C in a cross-sectional study. Serum levels of Siglec-7 were retrospectively tested in 1007 consecutive patients with chronic HCV infection recruited at three different European sites and data examined by the ‘imperfect gold-standard’ statistical analysis. Liver stiffness obtained by transient elastography (TE) was considered the standard reference. Liver fibrosis was staged according to published cut-offs of liver stiffness measurement by TE. Accuracy of detection of liver fibrosis stage was not increased by Siglec-7 alone. However, we developed a new index (SiGAP) including Siglec-7, γ-glutamyl transferase, age and platelet count which showed increased sensitivity and specificity in predicting fibrosis compared with APRI or FIB4 indices. The AUROC of SiGAP for the diagnosis of significant (≥F2) and advanced liver fibrosis (≥F3) showed significantly higher values than those of APRI and FIB-4. Siglec-7 may be useful as a complementary tool to assess liver fibrosis stage in patients with chronic hepatitis C when included in a specifically designed algorithm, which showed high level of accuracy in the detection of F2 and F3 fibrosis stage. | Versión del editor: | http://dx.doi.org/10.1111/jvh.13570 | URI: | http://hdl.handle.net/10261/266358 | DOI: | 10.1111/jvh.13570 | Identificadores: | doi: 10.1111/jvh.13570 issn: 1352-0504 e-issn: 1365-2893 |
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