Salta al contenuto principale
Passa alla visualizzazione normale.

DANIELA CABIBI

Long-term outcomes and predictive ability of non-invasive scoring systems in patients with non-alcoholic fatty liver disease

  • Autori: Younes R.; Caviglia G.P.; Govaere O.; Rosso C.; Armandi A.; Sanavia T.; Pennisi G.; Liguori A.; Francione P.; Gallego-Duran R.; Ampuero J.; Garcia Blanco M.J.; Aller R.; Tiniakos D.; Burt A.; David E.; Vecchio F.M.; Maggioni M.; Cabibi D.; Pareja M.J.; Zaki M.Y.W.; Grieco A.; Fracanzani A.L.; Valenti L.; Miele L.; Fariselli P.; Petta S.; Romero-Gomez M.; Anstee Q.M.; Bugianesi E.
  • Anno di pubblicazione: 2021
  • Tipologia: Articolo in rivista
  • OA Link: http://hdl.handle.net/10447/534142

Abstract

Background & Aims: Non-invasive scoring systems (NSS) are used to identify patients with non-alcoholic fatty liver disease (NAFLD) who are at risk of advanced fibrosis, but their reliability in predicting long-term outcomes for hepatic/extrahepatic complications or death and their concordance in cross-sectional and longitudinal risk stratification remain uncertain. Methods: The most common NSS (NFS, FIB-4, BARD, APRI) and the Hepamet fibrosis score (HFS) were assessed in 1,173 European patients with NAFLD from tertiary centres. Performance for fibrosis risk stratification and for the prediction of long-term hepatic/extrahepatic events, hepatocarcinoma (HCC) and overall mortality were evaluated in terms of AUC and Harrell's c-index. For longitudinal data, NSS-based Cox proportional hazard models were trained on the whole cohort with repeated 5-fold cross-validation, sampling for testing from the 607 patients with all NSS available. Results: Cross-sectional analysis revealed HFS as the best performer for the identification of significant (F0-1 vs. F2-4, AUC = 0.758) and advanced (F0-2 vs. F3-4, AUC = 0.805) fibrosis, while NFS and FIB-4 showed the best performance for detecting histological cirrhosis (range AUCs 0.85-0.88). Considering longitudinal data (follow-up between 62 and 110 months), NFS and FIB-4 were the best at predicting liver-related events (c-indices>0.7), NFS for HCC (c-index = 0.9 on average), and FIB-4 and HFS for overall mortality (c-indices >0.8). All NSS showed limited performance (c-indices <0.7) for extrahepatic events. Conclusions: Overall, NFS, HFS and FIB-4 outperformed APRI and BARD for both cross-sectional identification of fibrosis and prediction of long-term outcomes, confirming that they are useful tools for the clinical management of patients with NAFLD at increased risk of fibrosis and liver-related complications or death. Lay summary: Non-invasive scoring systems are increasingly being used in patients with non-alcoholic fatty liver disease to identify those at risk of advanced fibrosis and hence clinical complications. Herein, we compared various non-invasive scoring systems and identified those that were best at identifying risk, as well as those that were best for the prediction of long-term outcomes, such as liver-related events, liver cancer and death.