成年女性的TyG-BMI指数和高尿路血症之间的关联
Kelibinuer Mutailipu1, Junwei Guo1, Jiajing Yin1
1Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Institute of Obesity, School of Medicine, Tongji University, Shanghai, People's Republic of China.
Endocrinology, diabetes & metabolism
|February 4, 2025
概括
甘油三-葡萄糖-体重指数 (TyG-BMI) 是女性高尿血症 (HUA) 的最有效预测指标. 该指数为早期HUA风险识别和干预提供了一个实用的工具.
科学领域:
- 内分泌学和新陈代谢学
- 心血管健康 心血管健康
- 公共卫生 公共卫生
背景情况:
- 超尿血症 (HUA) 是一种与心血管和脏疾病相关的代谢状况.
- 甘油三糖指数 (TyG) 和其衍生物是新出现的代谢功能障碍的标志物.
- 了解女性HUA的预测因素对于有针对性的健康干预至关重要.
研究的目的:
- 调查成人女性的高尿血 (HUA) 与甘油三糖指数 (TyG) 和其衍生物之间的关系.
- 评估TyG,TyG-BMI和BMI对HUA在这个人群中的预测性表现.
主要方法:
- 一项涉及1105名成年女性的横截面研究.
- 参与者被分为高尿血症 (HUA) 和非HUA组.
- 收集的数据包括临床参数和实验室值;计算了BMI,TyG和TyG-BMI等指数. 统计分析包括后勤回归和ROC曲线分析.
主要成果:
- HUA组的BMI,血压和代谢参数显著提高.
- TyG,TyG-BMI和BMI显示与尿酸水平的正相关性.
- 与TyG (AUC=0.829) 和BMI (AUC=0.867) 相比,TyG-BMI对HUA (AUC=0.877) 的预测能力更强. TyG-BMI和BMI被确定为独立的预测指标.
结论:
- 在成年女性中,TyG-BMI是高尿血症 (HUA) 的最有效预测因子,单独表现优于TyG和BMI.
- 该指数为早期识别有HUA风险的妇女提供了有价值和实用的工具.
- 研究结果支持在临床实践中使用TyG-BMI进行及时干预策略.
相关概念视频
Obesity
371
The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
371
Diabetes Mellitus: Type 2 and Gestational
2.1K
Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
2.1K
Genome-wide Association Studies-GWAS
12.4K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
12.4K


