Multiple approaches to assess fourteen non-invasive serum indexes for the diagnosis of liver fibrosis in chronic hepatitis C patients.

Andrés-Otero, María Jesús ; De-Blas-Giral, Ignacio (Universidad de Zaragoza) ; Puente-Lanzarote, Juan José ; Serrano-Aulló, Trinidad (Universidad de Zaragoza) ; Morandeira, María José (Universidad de Zaragoza) ; Lorente, Sara (Universidad de Zaragoza) ; Lou-Bonafonte, José Manuel (Universidad de Zaragoza)

Resumen: Background: The aim of this study was to compare fourteen non-invasive indexes/scores: AAR, APRI, Fibroindex, MODEL3, Forns index, FIB4, GUCI, FI, FCI, Pohl score, AP index, CDS, HGM-1 and HGM-2, in order to diagnose the hepatic fibrosis stage in a survey of patients with chronic hepatitis C.
Methods. 84 patients with chronic hepatitis C were studied. Liver fibrosis was staged according to the Scheuer scoring system. The diagnostic accuracy of these indexes/scores was evaluated by AUROC, contingency tables and logistic regression analysis.
Results: The best AUROCs (> 0.9) to discriminate cirrhosis (F = 4), were observed for CDS, FI, AAR, MODEL3, FIB4, HGM-2 and FCI. To discriminate at least advance fibrosis (F = 3), the best AUROCs (> 0.89) were for CDS, FI, FIB4, HGM2-2, MODEL3 and FCI. To discriminate at least significant fibrosis (F = 2), the best AUROCs (> 0.8) were for FIB4, GUCI, APRI, FI, Forns index, HGM-2 and FCI. Contingency tables and logistic regression analysis supported the results obtained by AUROC.
Conclusions: This study compares the diagnostic performance of fourteen indexes for the diagnosis of liver fibrosis stage in the same group of CHC patients. These results allow the selection of the best indexes for further studies in larger populations, in order to build diagnostic algorithms as an alternative to liver biopsy for fibrosis staging in patients with chronic HCV infection. These algorithms would allow to take therapeutical decisions and the continuous follow-up of hepatic fibrosis in these patients.

Idioma: Inglés

DOI: 10.1016/j.clinbiochem.2015.12.017

Año: 2016

Publicado en: CLINICAL BIOCHEMISTRY 49, 7-8 (2016), 560-565
ISSN: 0009-9120

Factor impacto JCR: 2.434 (2016)

Categ. JCR: MEDICAL LABORATORY TECHNOLOGY rank: 11 / 30 = 0.367 (2016) - Q2 - T2

Factor impacto SCIMAGO: 0.942 - Medicine (miscellaneous) (Q1) - Clinical Biochemistry (Q2)

Tipo y forma: Article (Published version)

Área (Departamento): Área Sanidad Animal (Dpto. Patología Animal)
Área (Departamento): Área Fisiología (Dpto. Farmacología y Fisiolog.)
Área (Departamento): Area Medicina (Dpto. Medicina, Psiqu. y Derm.)
Área (Departamento): Area Anatomía Patológica (Dpto. Anat.Pat.Med.Leg.For.To.)