TY - JOUR
T1 - Long-term outcomes and predictive ability of non-invasive scoring systems in patients with non-alcoholic fatty liver disease
AU - Younes, Ramy
AU - Caviglia, Gian Paolo
AU - Govaere, Olivier
AU - Rosso, Chiara
AU - Armandi, Angelo
AU - Sanavia, Tiziana
AU - Pennisi, Grazia
AU - Liguori, Antonio
AU - Francione, Paolo
AU - Gallego-Durán, Rocío
AU - Ampuero, Javier
AU - Garcia Blanco, Maria J.
AU - Aller, Rocio
AU - Tiniakos, Dina
AU - Burt, Alastair
AU - David, Ezio
AU - Vecchio, Fabio Maria
AU - Maggioni, Marco
AU - Cabibi, Daniela
AU - Pareja, María Jesús
AU - Zaki, Marco Y.W.
AU - Grieco, Antonio
AU - Fracanzani, Anna L.
AU - Valenti, Luca
AU - Miele, Luca
AU - Fariselli, Piero
AU - Petta, Salvatore
AU - Romero-Gomez, Manuel
AU - Anstee, Quentin M.
AU - Bugianesi, Elisabetta
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - APRI
KW - Adult
KW - Area Under Curve
KW - BARD
KW - Cross-Sectional Studies
KW - FIB-4
KW - Female
KW - HFS
KW - Humans
KW - Liver
KW - Male
KW - Middle Aged
KW - NASH
KW - NFS
KW - NSS
KW - Non-alcoholic Fatty Liver Disease
KW - Predictive Value of Tests
KW - Prognosis
KW - ROC Curve
KW - Reproducibility of Results
KW - Research Design
KW - Severity of Illness Index
KW - Time
KW - APRI
KW - Adult
KW - Area Under Curve
KW - BARD
KW - Cross-Sectional Studies
KW - FIB-4
KW - Female
KW - HFS
KW - Humans
KW - Liver
KW - Male
KW - Middle Aged
KW - NASH
KW - NFS
KW - NSS
KW - Non-alcoholic Fatty Liver Disease
KW - Predictive Value of Tests
KW - Prognosis
KW - ROC Curve
KW - Reproducibility of Results
KW - Research Design
KW - Severity of Illness Index
KW - Time
UR - http://hdl.handle.net/10807/219698
U2 - 10.1016/j.jhep.2021.05.008
DO - 10.1016/j.jhep.2021.05.008
M3 - Article
SN - 0168-8278
VL - 75
SP - 786
EP - 794
JO - Journal of Hepatology
JF - Journal of Hepatology
ER -