Skip to main navigation Skip to main content

CMH : Clinical and Molecular Hepatology

OPEN ACCESS
ABOUT
BROWSE ARTICLES
FOR CONTRIBUTORS

Articles

Letter to the Editor

MAFLD or MASLD: Which better represents the prognosis of the steatotic liver population: Letter to the editor on “Evolutionary changes in metabolic dysfunction-associated steatotic liver disease and risk of hepatocellular carcinoma: A nationwide cohort study”

Clinical and Molecular Hepatology 2025;31(2):e128-e133.
Published online: December 26, 2024

1Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China

2Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Shandong First Medical University, Jinan, Shandong, China

3Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Haidian District, Beijing, China

4Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Haidian District, Beijing, China

5Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China

6Department of Endocrinology, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China

Corresponding author : Jiajun Zhao Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 105#, Jiefang Road, Jinan, Shandong 250021, China. Tel: 86-531-55865765, Fax: +86-531-86942457, E-mail: jjzhao@sdu.edu.cn
Yongfeng Song Department of Endocrinology, Central Hospital Affiliated to Shandong First Medical University, 105#, Jiefang Road, Jinan, Shandong 250021, China. Tel: 86-531-55865765, Fax: +86-531-86942457, E-mail: syf198506@163.com

Editor: Gi-Ae Kim, Kyung Hee University, Korea

• Received: November 8, 2024   • Revised: December 10, 2024   • Accepted: December 24, 2024

Copyright © 2025 by The Korean Association for the Study of the Liver

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

  • 7,185 Views
  • 89 Download
  • 2 Web of Science
  • 2 Crossref
  • 1 Scopus
next

Citations

Citations to this article as recorded by  Crossref logo
  • Associations between systemic inflammatory biomarkers and metabolic dysfunction associated steatotic liver disease: a cross-sectional study of NHANES 2017–2020
    Xin Qiu, Shuang Shen, Nizhen Jiang, Yifei Feng, Guodong Yang, Donghong Lu
    BMC Gastroenterology.2025;[Epub]     CrossRef
  • Correspondence to letter to the editor 2 on “Evolutionary changes in metabolic dysfunction-associated steatotic liver disease and risk of hepatocellular carcinoma: A nationwide cohort study”
    Seogsong Jeong, Won Kim, Sang Min Park
    Clinical and Molecular Hepatology.2025; 31(2): e210.     CrossRef

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

Include:

MAFLD or MASLD: Which better represents the prognosis of the steatotic liver population: Letter to the editor on “Evolutionary changes in metabolic dysfunction-associated steatotic liver disease and risk of hepatocellular carcinoma: A nationwide cohort study”
Clin Mol Hepatol. 2025;31(2):e128-e133.   Published online December 26, 2024
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:
Include:
MAFLD or MASLD: Which better represents the prognosis of the steatotic liver population: Letter to the editor on “Evolutionary changes in metabolic dysfunction-associated steatotic liver disease and risk of hepatocellular carcinoma: A nationwide cohort study”
Clin Mol Hepatol. 2025;31(2):e128-e133.   Published online December 26, 2024
Close

Figure

  • 0
MAFLD or MASLD: Which better represents the prognosis of the steatotic liver population: Letter to the editor on “Evolutionary changes in metabolic dysfunction-associated steatotic liver disease and risk of hepatocellular carcinoma: A nationwide cohort study”
Image
Figure 1. The Venn diagram illustrates patients with hepatic steatosis categorized according to MAFLD and MASLD definitions. MAFLD, metabolic dysfunction‐associated fatty liver disease; MASLD, metabolic dysfunction-associated steatotic liver disease.
MAFLD or MASLD: Which better represents the prognosis of the steatotic liver population: Letter to the editor on “Evolutionary changes in metabolic dysfunction-associated steatotic liver disease and risk of hepatocellular carcinoma: A nationwide cohort study”
Outcome-population classification Number Multivariable model 1
Multivariable model 2
Multivariable model 3
HR (95% CI) P-value HR (95% CI) P-value HR (95% CI) P-value
Liver-related outcome
 Non-MAFLD 6,188 1 1 1
 MAFLD 8,185 2.30 (2.22–2.38) <0.001 2.22 (2.15–2.30) <0.001 1.97 (1.89–2.06) <0.001
 Non-MASLD 7,463 1 1 1
 MASLD 6,910 1.98 (1.92–2.05) <0.001 1.94 (1.87–2.01) <0.001 1.63 (1.56–1.69) <0.001
 Non-MAFLD/MASLD 6,171 1 1 1
 MAFLD-only 1,292 2.58 (2.42–2.74) <0.001 2.44 (2.30–2.60) <0.001 2.65 (2.45–2.86) <0.001
 MASLD-only 17 2.86 (1.77–4.60) <0.001 2.87 (1.78–4.61) <0.001 3.22 (2.00–5.19) <0.001
 Overlap 6,893 2.26 (2.18–2.34) <0.001 2.19 (2.12–2.27) <0.001 1.91 (1.83–2.00) <0.001
Cardiovascular outcome
 Non-MAFLD 24,706 1 1 1
 MAFLD 26,836 1.61 (1.58–1.64) <0.001 1.56 (1.53–1.59) <0.001 1.31 (1.29–1.34) <0.001
 Non-MASLD 27,985 1 1 1
 MASLD 23,557 1.58 (1.55–1.60) <0.001 1.53 (1.50–1.56) <0.001 1.27 (1.24–1.30) <0.001
 Non-MAFLD/MASLD 24,682 1 1 1
 MAFLD-only 3,303 1.41 (1.36–1.47) <0.001 1.39 (1.34–1.44) <0.001 1.29 (1.23–1.35) <0.001
 MASLD-only 24 0.78 (0.52–1.16) 0.213 0.75 (0.50–1.13) 0.172 0.95 (0.63–1.44) 0.823
 Overlap 23,533 1.64 (1.61–1.67) <0.001 1.59 (1.56–1.62) <0.001 1.32 (1.29–1.35) <0.001
Cancer outcome
 Non-MAFLD 15,989 1 1 1
 MAFLD 10,843 1.30 (1.27–1.34) <0.001 1.29 (1.26–1.33) <0.001 1.21 (1.17–1.25) <0.001
 Non-MASLD 17,511 1 1 1
 MASLD 9,321 1.25 (1.22–1.29) <0.001 1.25 (1.22–1.28) <0.001 1.16 (1.12–1.20) <0.001
 Non-MAFLD/MASLD 15,980 1 1 1
 MAFLD-only 1,531 1.38 (1.31–1.46) <0.001 1.33 (1.26–1.41) <0.001 1.33 (1.24–1.42) <0.001
 MASLD-only 9 0.77 (0.40–1.49) 0.444 0.78 (0.40–1.50) 0.453 0.84 (0.43–1.61) 0.590
 Overlap 9,312 1.29 (1.26–1.33) <0.001 1.28 (1.25–1.32) <0.001 1.20 (1.16–1.23) <0.001
All-cause mortality
 Non-MAFLD 19,112 1 1 1
 MAFLD 19,597 1.40 (1.37–1.43) <0.001 1.33 (1.30–1.35) <0.001 1.29 (1.26–1.33) <0.001
 Non-MASLD 21,713 1 1 1
 MASLD 16,996 1.33 (1.30–1.36) <0.001 1.27 (1.25–1.30) <0.001 1.21 (1.18–1.24) <0.001
 Non-MAFLD/MASLD 19,085 1 1 1
 MAFLD-only 2,628 1.47 (1.41–1.53) <0.001 1.37 (1.32–1.43) <0.001 1.50 (1.42–1.58) <0.001
 MASLD-only 27 1.28 (0.88–1.87) 0.198 1.30 (0.89–1.90) 0.174 1.39 (0.95–2.03) 0.085
 Overlap 16,969 1.39 (1.36–1.42) <0.001 1.32 (1.29–1.35) <0.001 1.28 (1.24–1.31) <0.001
Liver-related mortality
 Non-MAFLD 403 1 1 1
 MAFLD 795 2.63 (2.32–2.98) <0.001 2.53 (2.23–2.87) <0.001 2.99 (2.51–3.55) <0.001
 Non-MASLD 587 1 1 1
 MASLD 611 1.71 (1.53–1.92) <0.001 1.72 (1.53–1.94) <0.001 1.55 (1.34–1.80) <0.001
 Non-MAFLD/MASLD 395 1 1 1
 MAFLD-only 192 4.82 (4.04–5.75) <0.001 4.09 (3.42–4.90) <0.001 6.41 (5.09–8.08) <0.001
 MASLD-only 8 15.82 (7.84–31.94) <0.001 15.74 (7.8–31.79) <0.001 17.62 (8.66–35.83) <0.001
 Overlap 611 2.37 (2.08–2.70) <0.001 2.32 (2.03–2.64) <0.001 2.62 (2.19–3.13) <0.001
CVD-related mortality
 Non-MAFLD 2,401 1 1 1
 MAFLD 3,438 1.74 (1.65–1.83) <0.001 1.63 (1.55–1.72) <0.001 1.33 (1.25–1.43) <0.001
 Non-MASLD 2,797 1 1 1
 MASLD 3,042 1.66 (1.58–1.75) <0.001 1.57 (1.49–1.66) <0.001 1.25 (1.18–1.34) <0.001
 Non-MAFLD/MASLD 2,394 1 1 1
 MAFLD-only 400 1.56 (1.40–1.73) <0.001 1.49 (1.33–1.66) <0.001 1.45 (1.26–1.66) <0.001
 MASLD-only 4 1.25 (0.47–3.33) 0.659 1.27 (0.48–3.39) 0.631 1.78 (0.67–4.75) 0.251
 Overlap 3,038 1.76 (1.67–1.86) <0.001 1.66 (1.57–1.75) <0.001 1.33 (1.24–1.42) <0.001
Cancer-related mortality
 Non-MAFLD 9,959 1 1 1
 MAFLD 9,076 1.31 (1.27–1.35) <0.001 1.25 (1.22–1.29) <0.001 1.25 (1.21–1.30) <0.001
 Non-MASLD 11,197 1 1 1
 MASLD 7,838 1.24 (1.21–1.28) <0.001 1.21 (1.17–1.24) <0.001 1.19 (1.15–1.24) <0.001
 Non-MAFLD/MASLD 9,953 1 1 1
 MAFLD-only 1,244 1.41 (1.33–1.50) <0.001 1.31 (1.23–1.39) <0.001 1.36 (1.26–1.47) <0.001
 MASLD-only 6 0.59 (0.26–1.31) 0.196 0.59 (0.27–1.32) 0.201 0.61 (0.27–1.36) 0.226
 Overlap 7,832 1.29 (1.25–1.33) <0.001 1.24 (1.21–1.28) <0.001 1.24 (1.20–1.29) <0.001
Table 1. Liver and extrahepatic clinical outcomes, as well as all-cause and cause-specific mortality, in patients with hepatic steatosis categorized according to MAFLD and MASLD definitions

Survey-weighted multivariable Cox proportional hazards models were utilized to evaluate the association between hepatic steatosis and clinical outcomes. Three models were constructed with incremental adjustments as follows:

Model 1: Adjusted for sex and age.

Model 2: Further adjusted for race/ethnicity, smoking status, and frequency of alcohol intake.

Model 3: Additionally, adjusted for type 2 diabetes mellitus (T2DM), overweight, high blood pressure, and high cholesterol.

MAFLD, metabolic dysfunction‐associated fatty liver disease; MASLD, metabolic dysfunction-associated steatotic liver disease; HR, hazard ratios; CI, confidence interval.

Statistical significance was defined as P<0.05.