Abstract
Purpose
International expert panels proposed new nomenclatures, metabolic dysfunction-associated fatty liver disease (MAFLD) in 2020 and metabolic dysfunction-associated steatotic liver disease (MASLD) in 2023, along with revised diagnostic criteria to replace non-alcoholic fatty liver disease (NAFLD). We aimed to investigate the differences in NAFLD, MAFLD, and MASLD prevalence with changing nomenclature in a health check-up using magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF) to assess hepatic steatosis. We also examined the prevalence of the sub-classifications of steatotic liver disease (SLD) and the differences in characteristics among the sub-categories.
Methods
We included 844 participants who underwent liver MRI-PDFF at our health check-up clinic between January 2020 and November 2022. Hepatic steatosis was defined as MRI-PDFF ≥ 5%. Participants were categorized according to NAFLD, MAFLD, MASLD, and sub-classifications of SLD.
Results
The prevalence rates of NAFLD, MAFLD, and MASLD were 25.9%, 29.5%, and 25.2%, respectively. 30.5% of the participants was categorized as SLD. The prevalence rates of the SLD sub-categories were 25.2% for MASLD, 3.7% for MASLD and alcohol-associated liver disease (MetALD), 0.1% for alcohol-associated liver disease, 1.3% for specific etiology SLD, and 0.1% for cryptogenic SLD. Compared with patients in the MASLD group, those in the MetALD group were younger, predominantly male, and exhibited higher levels of serum aspartate aminotransferase, gamma-glutamyl transpeptidase, and triglycerides.
Conclusion
The prevalences of NAFLD and MASLD assessed using MRI-PDFF were similar, with MASLD accounting for 97.3% of the patients with NAFLD. The separate MetALD sub-category may have clinical characteristics that differ from those of MASLD.
Graphical abstract
Similar content being viewed by others
Data availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
Younossi Z, Anstee QM, Marietti M, Hardy T, Henry L, Eslam M, George J, Bugianesi E (2018) Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention. Nat Rev Gastroenterol Hepatol 15(1):11-20. doi: https://doi.org/https://doi.org/10.1038/nrgastro.2017.109
Riazi K, Azhari H, Charette JH, Underwood FE, King JA, Afshar EE, Swain MG, Congly SE, Kaplan GG, Shaheen AA (2022) The prevalence and incidence of NAFLD worldwide: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol 7(9):851-861. doi: https://doi.org/https://doi.org/10.1016/s2468-1253(22)00165-0
Chalasani N, Younossi Z, Lavine JE, Charlton M, Cusi K, Rinella M, Harrison SA, Brunt EM, Sanyal AJ (2018) The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver Diseases. Hepatology 67(1):328-357. doi: https://doi.org/https://doi.org/10.1002/hep.29367
Emhmed Ali S, Nguyen MH (2021) Sarcopenic Obesity in Non-Alcoholic Fatty Liver Disease-The Union of Two Culprits. Life (Basel) 11(2): 119. doi: https://doi.org/https://doi.org/10.3390/life11020119
Ng CH, Huang DQ, Nguyen MH (2022) Nonalcoholic fatty liver disease versus metabolic-associated fatty liver disease: Prevalence, outcomes and implications of a change in name. Clin Mol Hepatol 28(4):790-801. doi: https://doi.org/https://doi.org/10.3350/cmh.2022.0070
Eslam M, Sarin SK, Wong VW, et al. (2020) The Asian Pacific Association for the Study of the Liver clinical practice guidelines for the diagnosis and management of metabolic associated fatty liver disease. Hepatol Int 14(6):889-919. doi: https://doi.org/https://doi.org/10.1007/s12072-020-10094-2
Eslam M, Newsome PN, Sarin SK, et al. (2020) A new definition for metabolic dysfunction-associated fatty liver disease: An international expert consensus statement. J Hepatol 73(1):202-209. doi: https://doi.org/https://doi.org/10.1016/j.jhep.2020.03.039
Lin S, Huang J, Wang M, Kumar R, Liu Y, Liu S, Wu Y, Wang X, Zhu Y (2020) Comparison of MAFLD and NAFLD diagnostic criteria in real world. Liver Int 40(9):2082-2089. doi: https://doi.org/https://doi.org/10.1111/liv.14548
Yu C, Wang M, Zheng S, Xia M, Yang H, Zhang D, Yin C, Cheng N, Bai Y (2022) Comparing the Diagnostic Criteria of MAFLD and NAFLD in the Chinese Population: A Population-based Prospective Cohort Study. J Clin Transl Hepatol 10(1):6-16. doi: https://doi.org/https://doi.org/10.14218/jcth.2021.00089
Lim GEH, Tang A, Ng CH, et al. (2023) An Observational Data Meta-analysis on the Differences in Prevalence and Risk Factors Between MAFLD vs NAFLD. Clin Gastroenterol Hepatol 21(3):619-629.e617. doi: https://doi.org/https://doi.org/10.1016/j.cgh.2021.11.038
Yamamura S, Eslam M, Kawaguchi T, Tsutsumi T, Nakano D, Yoshinaga S, Takahashi H, Anzai K, George J, Torimura T (2020) MAFLD identifies patients with significant hepatic fibrosis better than NAFLD. Liver Int 40(12):3018-3030. doi: https://doi.org/https://doi.org/10.1111/liv.14675
Niriella MA, Ediriweera DS, Kasturiratne A, De Silva ST, Dassanayaka AS, De Silva AP, Kato N, Pathmeswaran A, Wickramasinghe AR, de Silva HJ (2021) Outcomes of NAFLD and MAFLD: Results from a community-based, prospective cohort study. PLoS One 16(2):e0245762. doi: https://doi.org/https://doi.org/10.1371/journal.pone.0245762
Kim H, Lee CJ, Ahn SH, Lee KS, Lee BK, Baik SJ, Kim SU, Lee JI (2022) MAFLD Predicts the Risk of Cardiovascular Disease Better than NAFLD in Asymptomatic Subjects with Health Check-Ups. Dig Dis Sci 67(10):4919-4928. doi: https://doi.org/https://doi.org/10.1007/s10620-022-07508-6
Rinella ME, Lazarus JV, Ratziu V, et al. (2023) A multi-society Delphi consensus statement on new fatty liver disease nomenclature. J Hepatol doi: https://doi.org/https://doi.org/10.1016/j.jhep.2023.06.003
Rinella ME, Lazarus JV, Ratziu V, et al. (2023) A multi-society Delphi consensus statement on new fatty liver disease nomenclature. Hepatology doi: https://doi.org/https://doi.org/10.1097/hep.0000000000000520
Noureddin M, Lam J, Peterson MR, et al. (2013) Utility of magnetic resonance imaging versus histology for quantifying changes in liver fat in nonalcoholic fatty liver disease trials. Hepatology 58(6):1930-1940. doi: https://doi.org/https://doi.org/10.1002/hep.26455
Reeder SB (2013) Emerging quantitative magnetic resonance imaging biomarkers of hepatic steatosis. Hepatology 58(6):1877-1880. doi: https://doi.org/https://doi.org/10.1002/hep.26543
Le TA, Chen J, Changchien C, et al. (2012) Effect of colesevelam on liver fat quantified by magnetic resonance in nonalcoholic steatohepatitis: a randomized controlled trial. Hepatology 56(3):922-932. doi: https://doi.org/https://doi.org/10.1002/hep.25731
Loomba R, Sirlin CB, Ang B, et al. (2015) Ezetimibe for the treatment of nonalcoholic steatohepatitis: assessment by novel magnetic resonance imaging and magnetic resonance elastography in a randomized trial (MOZART trial). Hepatology 61(4):1239-1250. doi: https://doi.org/https://doi.org/10.1002/hep.27647
Idilman IS, Aniktar H, Idilman R, Kabacam G, Savas B, Elhan A, Celik A, Bahar K, Karcaaltincaba M (2013) Hepatic steatosis: quantification by proton density fat fraction with MR imaging versus liver biopsy. Radiology 267(3):767-775. doi: https://doi.org/https://doi.org/10.1148/radiol.13121360
Dulai PS, Sirlin CB, Loomba R (2016) MRI and MRE for non-invasive quantitative assessment of hepatic steatosis and fibrosis in NAFLD and NASH: Clinical trials to clinical practice. J Hepatol 65(5):1006-1016. doi: https://doi.org/https://doi.org/10.1016/j.jhep.2016.06.005
Caussy C, Reeder SB, Sirlin CB, Loomba R (2018) Noninvasive, Quantitative Assessment of Liver Fat by MRI-PDFF as an Endpoint in NASH Trials. Hepatology 68(2):763-772. doi: https://doi.org/https://doi.org/10.1002/hep.29797
Kang KA, Jun DW, Kim MS, Kwon HJ, Nguyen MH (2020) Prevalence of significant hepatic fibrosis using magnetic resonance elastography in a health check-up clinic population. Aliment Pharmacol Ther 51(3):388- doi: https://doi.org/https://doi.org/10.1111/apt.15626
Rinella ME, Neuschwander-Tetri BA, Siddiqui MS, Abdelmalek MF, Caldwell S, Barb D, Kleiner DE, Loomba R (2023) AASLD Practice Guidance on the clinical assessment and management of nonalcoholic fatty liver disease. Hepatology 77(5):1797-1835. doi: https://doi.org/https://doi.org/10.1097/hep.0000000000000323
Jeong EH, Jun DW, Cho YK, Choe YG, Ryu S, Lee SM, Jang EC (2013) Regional prevalence of non- alcoholic fatty liver disease in Seoul and Gyeonggi-do, Korea. Clin Mol Hepatol 19(3):266-272. doi: https://doi.org/https://doi.org/10.3350/cmh.2013.19.3.266
Andresen-Streichert H, Müller A, Glahn A, Skopp G, Sterneck M (2018) Alcohol Biomarkers in Clinical and Forensic Contexts. Dtsch Arztebl Int 115(18):309-315. doi: https://doi.org/https://doi.org/10.3238/arztebl.2018.0309
Klop B, do Rego AT, Cabezas MC (2013) Alcohol and plasma triglycerides. Curr Opin Lipidol 24(4):321-326. doi: https://doi.org/https://doi.org/10.1097/MOL.0b013e3283606845
Acknowledgements
None.
Funding
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (grant number: RS-2023–00244520). Funder had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
Author information
Authors and Affiliations
Contributions
All authors contributed to the critical revision of the manuscript and approved the final manuscript. Guarantor of the integrity of the entire study: S.L. Study concept and design: H.J.P and S.L. Acquisition of data: H.J.P and J.S.L. Statistical analysis: S. L. Drafting of the manuscript: H.J. P and S.L.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no conflicts of interest.
Ethical approval
This research study was conducted retrospectively from data obtained for clinical purposes. This study was approved by the institutional review board of our institution and the requirement for written informed consent was waived due to the retrospective nature of the analysis.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Park, H.J., Lee, S. & Lee, J.S. Differences in the prevalence of NAFLD, MAFLD, and MASLD according to changes in the nomenclature in a health check-up using MRI-derived proton density fat fraction. Abdom Radiol (2024). https://doi.org/10.1007/s00261-024-04285-w
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00261-024-04285-w