Long-term outcomes and predictive ability of non-invasive scoring systems in patients with non-alcoholic fatty liver disease.
No Thumbnail Available
Identifiers
Date
2021-06-03
Authors
Younes, Ramy
Caviglia, Gian Paolo
Govaere, Olivier
Rosso, Chiara
Armandi, Angelo
Sanavia, Tiziana
Pennisi, Grazia
Liguori, Antonio
Francione, Paolo
Gallego-Duran, Rocio
Advisors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier BV
Abstract
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. 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. 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), 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 0.8). All NSS showed limited performance (c-indices 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. 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.
Description
MeSH Terms
Adult
Area Under Curve
Cross-Sectional Studies
Female
Humans
Liver
Male
Middle Aged
Non-alcoholic Fatty Liver Disease
Predictive Value of Tests
Prognosis
ROC Curve
Reproducibility of Results
Research Design
Severity of Illness Index
Time
Area Under Curve
Cross-Sectional Studies
Female
Humans
Liver
Male
Middle Aged
Non-alcoholic Fatty Liver Disease
Predictive Value of Tests
Prognosis
ROC Curve
Reproducibility of Results
Research Design
Severity of Illness Index
Time
DeCS Terms
Fibrosis
Riesgo
Pacientes
Enfermedad del hígado graso no alcohólico
Mortalidad
Neoplasias hepáticas
Mortalidad
Riesgo
Pacientes
Enfermedad del hígado graso no alcohólico
Mortalidad
Neoplasias hepáticas
Mortalidad
CIE Terms
Keywords
APRI, BARD, FIB-4, HFS, NASH, NFS, NSS
Citation
Younes R, Caviglia GP, Govaere O, Rosso C, Armandi A, Sanavia T, et al. Long-term outcomes and predictive ability of non-invasive scoring systems in patients with non-alcoholic fatty liver disease. J Hepatol. 2021 Oct;75(4):786-794.