| Title: | Comparative association of MAFLD/MASLD and Subtypes with Cardiovascular Diseases Outcomes |
| Journal: | Nutrition Metabolism and Cardiovascular Diseases |
| Published: | 19 Mar 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40189471/ |
| DOI: | https://doi.org/10.1016/j.numecd.2025.104024 |
Publication 15558
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Abstract
BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) acts as an alternative for demarcating metabolic dysfunction-associated fatty liver disease (MAFLD). This study aimed to investigate the factors that significantly influence the relationship between MAFLD and MASLD in relation to the incidence of major cardiovascular outcomes.</p>
METHODS AND RESULTS: A total of 340,998 participants in the UK Biobank study were included. Multivariable Cox proportional hazards models were used to estimate the effect of MAFLD and MASLD on the outcomes of cardiovascular diseases (CVDs) (coronary artery disease, stroke, heart failure, and CVD-related death) with hazard ratios (HRs) and 95 % confidence intervals (CIs). A total of 126,077 (36.97 %) participants had MAFLD and 97,418 (28.57 %) had MASLD. Over a median follow-up of 13.5 years (interquartile range 12.6-14.2), there were 41,548 new events of CVDs recorded. MAFLD (HR = 1.52; 95 % CI: 1.49-1.55) and MASLD (HR = 1.42; 95 % CI: 1.39-1.45) were associated with high risks of CVDs. Among the subtypes of MAFLD and steatotic liver disease (SLD), MAFLD diabetes subtype (HR = 2.26; 95 % CI: 2.17-2.35) and alcohol-associated liver disease (ALD) (HR = 1.65; 95 % CI: 1.55-1.76) exhibited the highest risk of CVDs. MAFLD overweight without MD subtype were not associated with CVDs. The effect of MAFLD on the CVD outcomes was consistent regardless of the presence of MASLD.</p>
CONCLUSION: The metabolic health status and alcohol consumption function as more critical factors than obesity in assessing CVD outcomes in participants with MAFLD or MASLD.</p>
15 Keywords
- Adult
- Aged
- Cardiovascular Diseases
- Fatty Liver
- Female
- Humans
- Incidence
- Male
- Middle Aged
- Prognosis
- Prospective Studies
- Risk Assessment
- Risk Factors
- Time Factors
- United Kingdom
9 Authors
- Huizhen Jin
- Zhuoshuai Liang
- Xinmeng Hu
- Xiaoyang Li
- Zhantong Liu
- Yichun Qiao
- Yi Cheng
- Hanxin Yao
- Yawen Liu
1 Application
| Application ID | Title |
|---|---|
| 84347 | Integration of clinical data and genomic data to construct diagnosis and prognosis system for digestive diseases and related complications |
Enabling scientific discoveries that improve human health