Back to Search Start Over

MAFLD fibrosis score: Using routine measures to identify advanced fibrosis in metabolic-associated fatty liver disease.

Authors :
Cheung JTK
Zhang X
Wong GL
Yip TC
Lin H
Li G
Leung HH
Lai JC
Mahadeva S
Nik Mustapha NR
Wang XD
Liu WY
Wong VW
Chan WK
Zheng MH
Source :
Alimentary pharmacology & therapeutics [Aliment Pharmacol Ther] 2023 Dec; Vol. 58 (11-12), pp. 1194-1204. Date of Electronic Publication: 2023 Sep 19.
Publication Year :
2023

Abstract

Background: Early screening may prevent fibrosis progression in metabolic-associated fatty liver disease (MAFLD).<br />Aims: We developed and validated MAFLD fibrosis score (MFS) for identifying advanced fibrosis (≥F3) among MAFLD patients.<br />Methods: This cross-sectional, multicentre study consecutively recruited MAFLD patients receiving tertiary care (Malaysia as training cohort [n = 276] and Hong Kong and Wenzhou as validation cohort [n = 431]). Patients completed liver biopsy, vibration-controlled transient elastography (VCTE), and clinical and laboratory assessment within 1 week. We used machine learning to select 'highly important' predictors of advanced fibrosis, followed by backward stepwise regression to construct MFS formula.<br />Results: MFS was composed of seven variables: age, body mass index, international normalised ratio, aspartate aminotransferase, gamma-glutamyl transpeptidase, platelet count, and history of type 2 diabetes. MFS demonstrated an area under the receiver-operating characteristic curve of 0.848 [95% CI 0.800-898] and 0.823 [0.760-0.886] in training and validation cohorts, significantly higher than aminotransferase-to-platelet ratio index (0.684 [0.603-0.765], 0.663 [0.588-0.738]), Fibrosis-4 index (0.793 [0.735-0.854], 0.737 [0.660-0.814]), and non-alcoholic fatty liver disease fibrosis score (0.785 [0.731-0.844], 0.750 [0.674-0.827]) (DeLong's test p < 0.05). MFS could include 92.3% of patients using dual cut-offs of 14 and 15, with a correct prediction rate of 90.4%, resulting in a larger number of patients with correct diagnosis compared to other scores. A two-step MFS-VCTE screening algorithm demonstrated positive and negative predictive values and overall diagnostic accuracy of 93.4%, 89.5%, and 93.2%, respectively, with only 4.0% of patients classified into grey zone.<br />Conclusion: MFS outperforms conventional non-invasive scores in predicting advanced fibrosis, contributing to screening in MAFLD patients.<br /> (© 2023 The Authors. Alimentary Pharmacology & Therapeutics published by John Wiley & Sons Ltd.)

Details

Language :
English
ISSN :
1365-2036
Volume :
58
Issue :
11-12
Database :
MEDLINE
Journal :
Alimentary pharmacology & therapeutics
Publication Type :
Academic Journal
Accession number :
37724633
Full Text :
https://doi.org/10.1111/apt.17722