Comparative Predictive Value of the TyG Index and UHR for Lower Extremity Artery Disease in Type 2 Diabetes: A Retrospective Analysis.

IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Chen Shao, Chengzhi Fei, Mingxue Gu, Xiujing Zha, Juan Li, Delu Zheng, Diwen Wang, Yanqiu Wang, Xiaolei Hu
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引用次数: 0

Abstract

Objective: To compare the predictive value of triglyceride glucose index (TyG) and the ratio of serum uric acid (SUA) to high-density lipoprotein cholesterol (HDL-C) (UHR) for lower extremity atherosclerotic disease (LEAD) in type 2 diabetes (T2DM) patients.

Methods: 303 patients with T2DM were divided into LEAD group (n=192) and non-LEAD group (n=111) based on the results of lower extremity vascular color Doppler ultrasound. All patients were divided into a training set and a validation set at a 7:3 ratio. In the training set, Least absolute shrinkage and selection operator (LASSO) regression was applied to screen for predictive factors of LEAD, and a multivariate logistic regression model was constructed to analyze the predictive factors, with a nomogram being plotted. The discriminative ability and calibration of the model were evaluated using the receiver operating characteristic (ROC) curve area under the curve (AUC) and calibration curves in both the training and validation sets. Decision curve analysis (DCA) was used to evaluate the clinical net benefit.

Results: The variables selected by the LASSO regression included age, pulse pressure difference (PP), TyG, and UHR. The multivariate logistic regression model indicated that age, PP, TyG, and UHR were predictive factors for LEAD in T2DM patients (P<0.05). ROC curve analysis suggested that the discriminatory ability was in the following order: the nomogram model (AUC=0.872), TyG (AUC=0.751), and UHR (AUC=0.709), which were greater than that of age and PP. TyG and UHR cut-off values were 9.836 and 216.248, respectively. The specificities of TyG and UHR were 0.760 and 0.547, and the sensitivities were 0.629 and 0.807, respectively. The calibration curve showed the model's predictions matched actual conditions. DCA verified the model's clinical benefit.

Conclusion: Both TyG and UHR have good predictive value and are suitable for screening LEAD in T2DM patients.

TyG指数和UHR对2型糖尿病下肢动脉病变的比较预测价值:回顾性分析
目的:比较甘油三酯葡萄糖指数(TyG)和血清尿酸(SUA) /高密度脂蛋白胆固醇(HDL-C) (UHR)对2型糖尿病(T2DM)患者下肢动脉粥样硬化性疾病(LEAD)的预测价值。方法:根据下肢血管彩色多普勒超声检查结果将303例T2DM患者分为LEAD组(n=192)和non-LEAD组(n=111)。所有患者按7:3的比例分为训练集和验证集。在训练集中,采用最小绝对收缩和选择算子(LASSO)回归筛选铅的预测因素,并构建多元逻辑回归模型对预测因素进行分析,绘制nomogram。采用训练集和验证集的受试者工作特征曲线(ROC)曲线下面积(AUC)和校准曲线对模型的判别能力和校准能力进行评价。采用决策曲线分析(DCA)评价临床净效益。结果:LASSO回归选择的变量包括年龄、脉压差(PP)、TyG、UHR。多因素logistic回归模型显示,年龄、PP、TyG、UHR是T2DM患者铅的预测因素(p)。结论:TyG、UHR均具有较好的预测价值,适用于T2DM患者铅的筛查。
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来源期刊
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy Pharmacology, Toxicology and Pharmaceutics-Pharmacology
CiteScore
5.90
自引率
6.10%
发文量
431
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed, open access, online journal. The journal is committed to the rapid publication of the latest laboratory and clinical findings in the fields of diabetes, metabolic syndrome and obesity research. Original research, review, case reports, hypothesis formation, expert opinion and commentaries are all considered for publication.
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