医学
脂肪肝
内科学
病因学
疾病
心肌梗塞
冲程(发动机)
入射(几何)
肝病
糖尿病
胃肠病学
心脏病学
内分泌学
机械工程
物理
光学
工程类
作者
Hyeok‐Hee Lee,Han Ah Lee,Eun-Jin Kim,Hwi Young Kim,Hyeon Chang Kim,Sang Hoon Ahn,Hokyou Lee,Seung Up Kim
出处
期刊:Gut
[BMJ]
日期:2023-10-31
卷期号:: gutjnl-331003
被引量:40
标识
DOI:10.1136/gutjnl-2023-331003
摘要
Objective We explored clinical implications of the new definition of metabolic dysfunction-associated steatotic liver disease (MASLD) by assessing its prevalence and associated cardiovascular disease (CVD) risk. Design From nationwide health screening data, we identified 9 775 066 adults aged 20–79 who underwent health examination in 2009. Participants were categorised into four mutually exclusive groups: (1) MASLD; (2) MASLD with increased alcohol intake (MetALD); (3) MASLD with other combined aetiology (the three collectively referred to as MASLD/related steatotic liver disease (SLD)); and (4) no MASLD/related SLD. SLD was determined by fatty liver index ≥30. The primary outcome was CVD event, defined as a composite of myocardial infarction, ischaemic stroke, heart failure or cardiovascular death. Results The prevalence of MASLD, MetALD and MASLD with other combined aetiology was 27.5%, 4.4% and 1.5%, respectively. A total of 8 808 494 participants without prior CVD were followed up for a median of 12.3 years, during which 272 863 CVD events occurred. The cumulative incidence and multivariable-adjusted risk of CVD were higher in participants with MASLD/related SLD than in those without (HR 1.38 (95% CI 1.37 to 1.39)). Multivariable-adjusted HR (95% CI) of CVD events was 1.39 (1.38 to 1.40) for MASLD, 1.28 (1.26 to 1.30) for MetALD and 1.30 (1.26 to 1.34) for MASLD with other combined aetiology compared to the absence of any of these conditions. CVD risk was also higher in participants with metabolic dysfunction-associated fatty liver disease or non-alcoholic fatty liver disease than in those without the respective condition. Conclusion Over one-third of Korean adults have MASLD/related SLD and bear a high CVD risk.
科研通智能强力驱动
Strongly Powered by AbleSci AI