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

  • Ramy Younes
  • , Gian Paolo Caviglia
  • , Olivier Govaere
  • , Chiara Rosso
  • , Angelo Armandi
  • , Tiziana Sanavia
  • , Grazia Pennisi
  • , Antonio Liguori
  • , Paolo Francione
  • , Rocío Gallego-Durán
  • , Javier Ampuero
  • , Maria J. Garcia Blanco
  • , Rocio Aller
  • , Dina Tiniakos
  • , Alastair Burt
  • , Ezio David
  • , Fabio Maria Vecchio
  • , Marco Maggioni
  • , Daniela Cabibi
  • , María Jesús Pareja
  • Marco Y.W. Zaki, Antonio Grieco, Anna L. Fracanzani, Luca Valenti, Luca Miele, Piero Fariselli, Salvatore Petta, Manuel Romero-Gomez, Quentin M. Anstee, Elisabetta Bugianesi

Risultato della ricerca: Contributo in rivistaArticolo

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. (C) 2021 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.
Lingua originaleInglese
pagine (da-a)786-794
Numero di pagine9
RivistaJournal of Hepatology
Volume75
DOI
Stato di pubblicazionePubblicato - 2021

Keywords

  • APRI
  • Adult
  • Area Under Curve
  • BARD
  • Cross-Sectional Studies
  • FIB-4
  • Female
  • HFS
  • Humans
  • Liver
  • Male
  • Middle Aged
  • NASH
  • NFS
  • NSS
  • Non-alcoholic Fatty Liver Disease
  • Predictive Value of Tests
  • Prognosis
  • ROC Curve
  • Reproducibility of Results
  • Research Design
  • Severity of Illness Index
  • Time

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