Abstract：
Introduction: Metabolic syndrome (MetS) is a pathophysiological condition defined by a set of metabolic alterations such as hypertriglyceridemia, hyperglycemia, hypertension, low HDL-c levels, and visceral obesity. Its presence identifies people with an increased risk of developing cardiovascular diseases and type 2 diabetes; however, the lack of practical and reliable methods for its diagnosis limits the identification of people with this condition. In this sense, the objective of this study was to analyze the diagnostic utility of markers derived from the lipid profile [triglyceride-glucose (TyG) index and the ratios total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-c), triglyceride (TG)/HDL-c, low-density lipoprotein cholesterol/HDL-c, fasting blood glucose (FBG)/HDL-c, and white blood cell/HDL-c] in the determination of MetS. Methods: A retrospective study was designed that included 619 individuals. A logistic regression model was used to evaluate the associations of the different markers with MetS, and the cutoff points of the markers were determined through an analysis of receiver operating characteristic curves and the Youden Index. Results: A positive and significant association was observed between all markers and the presence of MetS. The cutoff values for the markers that best predicted MetS were TyG ≥ 4.8 (sensitivity = 91.4%, specificity = 74.3%), TC/HDL-c ≥ 3.7 (sensitivity = 74.3%, specificity = 75.7%), TG/HDL-c ≥ 3.3 (sensitivity = 82.5%, specificity = 84.0%), and FBG/HDL-c ≥ 2.0 (sensitivity = 85.1%, specificity = 79.7%). Conclusion: Our study demonstrated the diagnostic relevance of the different markers in detecting MetS, suggesting that these ratios may be useful in clinical practice for the opportune and accurate diagnosis of MetS.
摘要：
简介：代谢综合征（MetS）是由一系列代谢改变定义的病理生理状况，例如高甘油三酯血症，高血糖症,高血压,低HDL-C水平，和内脏肥胖。它的存在表明人们患心血管疾病和2型糖尿病的风险增加;然而，缺乏实用可靠的诊断方法限制了对患有这种疾病的人的识别。在这个意义上,本研究的目的是分析来自血脂谱[甘油三酯-葡萄糖（TyG）指数和总胆固醇（TC）/高密度脂蛋白胆固醇（HDL-c）的比值，甘油三酯（TG）/HDL-c，低密度脂蛋白胆固醇/HDL-c,空腹血糖（FBG）/HDL-c，和白细胞/HDL-c]在MetS的测定中。方法：设计了一项回顾性研究，包括619名个体。使用逻辑回归模型来评估不同标志物与MetS的关联，通过对受试者工作特征曲线和Youden指数的分析，确定了标记的截止点。结果:在所有标志物和MetS的存在之间观察到正的和显著的关联。最好预测MetS的标志物的截止值为TyG≥4.8(灵敏度=91.4%，特异性=74.3%)，TC/HDL-c≥3.7（灵敏度=74.3%，特异性=75.7%)，TG/HDL-c≥3.3（灵敏度=82.5%，特异性=84.0%)，FBG/HDL-c≥2.0（灵敏度=85.1%，特异性=79.7%)。结论：我们的研究证明了不同标志物在检测MetS中的诊断相关性，提示这些比率在临床实践中可能对MetS的及时和准确诊断有用。
