Using new indices to predict metabolism dysfunction-associated fatty liver disease (MAFLD): analysis of the national health and nutrition examination survey database

Using new indices to predict metabolism dysfunction-associated fatty liver disease (MAFLD): analysis of the national health and nutrition examination survey database

Abstract Background Metabolism dysfunction-associated fatty liver disease (MAFLD), is the most common chronic liver disease. Few MAFLD predictions are simple and accurate. We examined the predictive performance of the albumin-to-glutamyl transpeptidase ratio (AGTR), plasma atherogenicity index (AIP)...

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Bibliographic Details
Main Authors: Xu Ming Li, Song Lian Liu, Ya Jun He, Jian Chang Shu
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Gastroenterology
Subjects:
Metabolic dysfunction-associated fatty liver
ALB/GGT
AIP
UHR
Predictive models
NHANES
Online Access:https://doi.org/10.1186/s12876-024-03190-2

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