Comparison of NAFLD, MAFLD, and MASLD Prevalence and Clinical Characteristics in Asia Adults

Abstract

Background/Aims

The principal limitations of the term non-alcoholic fatty liver disease (NAFLD) are the reliance on exclusionary confounder terms and the use of potentially stigmatizing language. Within three years, NAFLD went through two name changes, from NAFLD to metabolic-dysfunction-associated fatty liver disease (MAFLD) to metabolic dysfunction-associated steatotic liver disease (MASLD). However, there is no Asian consensus statement on the renaming of MASLD, and evidence on the epidemiology and characteristics in the Asia population under different diagnostic criteria remain limited. This study aimed to fill these gaps by analyzing the prevalence and characteristics of MASLD, NAFLD, and MAFLD in an Asian population.

Methods

A retrospective, cross-sectional study was conducted in regional China with participants from the health management database in 2017–2022. Demographic and laboratory metabolic profile and body composition data were obtained. Hepatic steatosis were diagnosed by ultrasound. The likelihood of having fibrosis was assessed using the NAFLD fibrosis score (NFS). Recently proposed criteria for metabolic dysfunction-associated steatotic liver disease (MASLD) were applied.

Results

A total of 20,226 subjects were included for final analysis. 7465 (36.91%) participants were categorized as MASLD patients, 10,726 (53.03%) participants were MAFLD, and 7333 (36.26%) participants were NAFLD. Compared with MAFLD, body composition of MASLD and NAFLD patients were obviously different. MASLD patients were older, had a higher body mass index and percentage of male gender, and had a higher ALT, diastolic blood pressure, triglyceride, and waist circumference but lower High-Density Lipoprotein Cholesterol (HDL-C) than non-MASLD patients. Using binary regression analysis, we found for the first time that putative bone mass (OR = 4.62, 95CI% 3.12–6.83) is associated with the risk of developing MASLD. The area under the receiver operating curve (AUC) for predicting cardiovascular outcomes (CV) was 0.644 for MAFLD and 0.701 for MASLD.

Conclusion

MASLD (36.91%) prevalence was closed to NAFLD (36.26%) and lower than MAFLD (53.03%). Presumed bone mass might be the predictor of disease progression in MASLD patients. MASLD better identifies patients likely to have a higher risk of metabolic disorders or CV events.