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对MASLD的数据驱动集群模型的验证:来自三个大型亚洲队列的证据

Xiao-Dong Zhou^1,2, Sherlot Juan Song^3,4, Chloe Yitian Guo^5,6

¹MAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

JHEP reports : innovation in hepatology

|December 24, 2025

概括

这项研究验证了亚洲人群中代谢功能障碍相关的脂肪性肝病 (MASLD) 的集群模型. 该模型识别了具有不同心血管和肝脏并发症风险的不同MASLD亚型,从而实现了个性化治疗.

科学领域:

肝病学肝病学是一种肝病学.
心脏病学心脏病学
内分泌学在内分泌学.

背景情况:

与代谢功能障碍相关的脂肪性肝病 (MASLD) 是一种异质的疾病,具有肝脏和心血管并发症的变化风险.
识别不同的MASLD亚型对于风险分层和个性化管理至关重要.
现有的MASLD集群模型对亚洲人口的适用性需要验证.

研究的目的:

在三个不同的亚洲群体中验证数据驱动的MASLD集群模型.
评估在已识别的MASLD亚型中对主要不良心血管事件 (MACE),肝脏相关事件 (LRE) 和新发型2型糖尿病 (T2DM) 的差异风险.
确定MASLD亚洲人群个性化治疗策略的临床实用性.

主要方法:

集群分析使用临床变量进行,包括年龄,BMI,HbA1c,ALT,LDL-C和甘油三.
重大不良心血管事件 (MACE),肝脏相关事件 (LRE) 和新发型2型糖尿病 (T2DM) 被分析为结果.
考克斯回归和卡普兰-梅尔分析被用来评估MASLD集群中的风险和事件事件.

主要成果:

在三个亚洲队伍中观察到MACE,LRE和T2DM的明显的MASLD风险模式.
心脏代谢集群在所有队列中始终显示MACE的最高风险.
肝脏特异性群在两个队列中显示LRE风险最高,而心脏代谢和肝脏特异性群在另一个队列中显示LRE风险增加.

结论:

经过验证的MASLD集群模型适用于亚洲人群.
在MASLD中识别子组有助于个性化风险评估和治疗.
这种方法支持量身定制的管理策略,以优化MASLD患者的治疗结果.

关键词:

心血管和肝脏的结果.代谢功能障碍代谢功能障碍与代谢功能障碍相关的脂肪肝疾病.非酒精性脂肪肝疾病是非酒精性脂肪肝疾病.精确肝病学是一门精确的肝病学.

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