Is UA/HDL-C a Reliable Surrogate Marker for Fatty Liver? A Comparative Evaluation with Metabolic Scores in a Mexican Population: The Genetics of Atherosclerotic Disease Study

尿酸/高密度脂蛋白胆固醇比值(UA/HDL-C)是脂肪肝的可靠替代指标吗?一项基于墨西哥人群代谢评分的比较评估:动脉粥样硬化疾病遗传学研究

阅读:1

Abstract

Background: Fatty liver disease (FLD), the most common liver disease worldwide, is associated with cardiometabolic diseases and increases the risk of cardiovascular disease. It remains asymptomatic in its early stages, and late diagnosis heightens the likelihood of progression to severe liver diseases. Objectives: We aimed to evaluate the utility of serum uric acid to HDL cholesterol ratio (UA/HDL-C) as a biomarker for FLD and compare its diagnostic utility versus established liver disease index (FLI, LAP, HSI, NAFLD score (FLS), and ALT/AST ratio). Methods: This cross-sectional study, conducted between 2009 and 2013, included 1470 adults, 50.2% women and 49.8% men between 20 and 75 years old. FLD was diagnosed using non-contrast computed tomography. The population was stratified by sex and FLD. The associations with UA/HDL-C were analyzed using ROC curves and logistic regression analysis to evaluate and compare the predictive capacity of various indices for FLD. Results: Anthropometric, physiologic, biochemical variables, ratios, and indices were significantly higher in subjects with FLD (p < 0.001). In the unadjusted logistic regression model, UA/HDL-C is strongly associated with FLD (co-efficient 2.5, p < 0.001). The FLS, HSI, and ALT/AST ratios were also significant, whereas FLI and LAP showed no clear relationship. In the sex-adjusted model, the UA/HDL-C ratio remained strongly associated with FLD (3.47, p < 0.001). Conclusions: Our results suggest that the UA/HDL-C ratio is associated with FLD as an established liver disease index and may be a practical, useful marker for FLD. The results highlight its potential as a scrutiny and early biomarker for effective preventive strategies for FLD.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。