纳夫尔德 (MASLD) /纳什 (MASH):标签有没有什么问题? 一个全面的叙事审查
1Department of Laboratory Medicine, University of Alberta, Edmonton, AB T6G 2B7, Canada.
International journal of molecular sciences
|August 10, 2024
概括
使用肝活检的评分系统有助于评估与代谢功能障碍相关的脂肪性肝病 (MASLD) 和非酒精性脂肪性肝炎 (NASH). 这些分数有助于区分MASLD与酒精性肝病,并改善临床试验平台.
科学领域:
- 肝病学和胃肠道学
- 病理学和医学诊断 医学诊断
- 代谢和内分泌疾病 代谢和内分泌疾病
背景情况:
- 与代谢功能障碍相关的脂肪性肝病 (MASLD),以前称为NAFLD,包括与代谢综合征相关的一系列肝病.
- 非酒精性脂肪肝炎 (NASH) 或MASH是一种渐进的形式,其特点是脂肪炎,炎症,肝细胞膨胀和纤维化.
- 在NASH/MASH中观察到像Mallory-Denk体和巨粒体这样的组织学特征,气球损伤是定义特征.
研究的目的:
- 审查和分析关于使用评分系统评估MASLD的含义的科学知识.
- 确定有关MASLD评估中评分系统应用的基本数据.
主要方法:
- 进行了全面的叙事审查,从2000年1月到2023年12月搜索PubMed/MEDLINE,Scopus,Web of Science和Cochrane数据库.
- 搜索补充了灰色文献,包括互联网搜索和教科书.
- 从数据库搜索中包含了75篇文章,另外25篇来自参考文献和灰色文献.
主要成果:
- 肝活检的评分显示在评估MASLD/NASH时具有有益影响.
- 截然不同的组织学模式将NASH/MASH与酒精性脂肪肝炎 (ASH) 区分开来,具有有利于ASH诊断的特定特征.
- 通常使用的分级和分阶段系统包括Brunt,NASH CRN和SAF,每个都有优缺点.
结论:
- 评分系统是评估MASLD/NASH的宝贵工具,有助于差异诊断和临床试验设计.
- 机器学习方法显示出开发用于评估MASLD/NASH药物疗效的新平台的前景.
- 标准化评分系统对于MASLD/NASH研究和治疗的持续评估和进步至关重要.
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