Direct comparison of the specialised blood fibrosis tests FibroMeter V2G and Enhanced Liver Fibrosis score in patients with non‐alcoholic fatty liver disease from tertiary care centres
2019; Wiley; Volume: 50; Issue: 11-12 Linguagem: Inglês
10.1111/apt.15529
ISSN1365-2036
AutoresMaéva Guillaume, Valérie Moal, Cyrielle Delabaudière, Floraine Zuberbuhler, Marie‐Angèle Robic, Adrien Lannes, Sophie Métivier, Frédéric Oberti, Pierre Gourdy, I. Fouchard‐Hubert, Janick Sèlves, Sophie Michalak, Jean‐Marie Péron, Paul Calès, Christophe Bureau, Jérôme Boursier,
Tópico(s)Liver Diseases and Immunity
ResumoSummary Background The Enhanced Liver Fibrosis score (ELF) and the FibroMeter V2G are two specialized blood fibrosis tests which include direct markers of liver fibrosis. They have been shown to be more accurate than the simple blood fibrosis tests FIB4 and the non‐alcoholic fatty liver disease (NAFLD) fibrosis score (NFS). Aims To directly compare the accuracies of ELF and FibroMeter V2G for the non‐invasive diagnosis of liver fibrosis in NAFLD. Methods Four hundred and seventeen patients with biopsy‐proven NAFLD were enrolled from two tertiary care centres. Four blood fibrosis tests were calculated: ELF, FibroMeter V2G , NFS, and FIB4. Advanced fibrosis F3/4 on liver biopsy (NASH CRN scoring) was the primary endpoint. Results Areas under the receiver operating characteristic (AUROC) curve for advanced fibrosis were not significantly different between the direct markers of liver fibrosis (hyaluronate, PIIINP, TIMP‐1, alpha2‐macroglobulin) and the simple blood fibrosis tests NFS and FIB4. ELF (0.793 ± 0.022) and FibroMeter V2G (0.804 ± 0.021) had significantly higher AUROC than NFS (0.722 ± 0.025, P < .010) and FIB4 (0.739 ± 0.024, P < .020). AUROC for advanced fibrosis and Obuchowski index were not significantly different between ELF and FibroMeter V2G . Algorithms using first ELF or FibroMeter V2G and then liver biopsy in case of undetermined diagnosis provided high diagnostic accuracy for advanced fibrosis: 90% sensitivity, 90% specificity, 93% negative predictive value, 85% positive predictive value, and 90% correct classification. In these algorithms, the rate of liver biopsy was 45.3% with ELF versus 39.3% with FibroMeter V2G ( P = .065). Conclusions ELF and FibroMeter V2G have equal accuracy and perform better than the simple FIB4 and NFS tests for the non‐invasive diagnosis of advanced liver fibrosis in patients with NAFLD from tertiary care centres.
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