Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Health Management Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Endocrine. 2024 Nov;86(2):592-599. doi: 10.1007/s12020-024-03903-3. Epub 2024 Jun 7.
No study has comprehensively assessed the relationship of metabolic factors including insulin resistance, hypertension, hyperuricemia, and hypercholesterolemia with the development of carotid plaque. Therefore, we constructed metabolic scores based on the above metabolic factors and examined its association with carotid plaque in young and older Chinese adults.
This study included 17,396 participants who underwent carotid ultrasound examinations, including 14,173 young adults (<65 years) and 3,223 older adults (≥65 years). Individual metabolic score was calculated using triglyceride-glucose (TyG) index, mean arterial pressure (MAP), uric acid, and total cholesterol (TC). Logistic regression models were conducted to examine the role of metabolic score and its components in the prevalence of carotid plaque. The nonlinear relationship was examined using restricted cubic spline regression. Meanwhile, subgroup, interaction, and sensitivity analyses were conducted.
The multivariate logistic regression analysis showed that TyG (OR: 1.088; 95%CI: 1.046-1.132), MAP (OR: 1.121; 95%CI: 1.077-1.168), TC (OR: 1.137; 95%CI: 1.094-1.182) and metabolic score (OR: 1.064; 95%CI: 1.046-1.082) were associated with carotid plaque prevalence in young adults rather than older adults. The nonlinear association was not observed for metabolic scores and carotid plaque. Subgroup analyses showed significant associations between metabolic scores and carotid plaque prevalence in men, women, normal-weight, and overweight young adults. No interaction of metabolic score with sex and BMI were observed.
The results support that control of TyG, MAP, TC, and metabolic scores is a key point in preventing the prevalence of carotid plaque in the young adults.
尚无研究全面评估包括胰岛素抵抗、高血压、高尿酸血症和高胆固醇血症在内的代谢因素与颈动脉斑块发展之间的关系。因此,我们构建了基于上述代谢因素的代谢评分,并研究了其与中国年轻和老年成年人颈动脉斑块之间的相关性。
这项研究纳入了 17396 名接受颈动脉超声检查的参与者,包括 14173 名年轻人(<65 岁)和 3223 名老年人(≥65 岁)。使用甘油三酯-葡萄糖(TyG)指数、平均动脉压(MAP)、尿酸和总胆固醇(TC)计算个体代谢评分。使用逻辑回归模型检验代谢评分及其组成部分在颈动脉斑块患病率中的作用。使用限制性立方样条回归检验非线性关系。同时进行了亚组、交互作用和敏感性分析。
多变量逻辑回归分析显示,TyG(比值比:1.088;95%置信区间:1.046-1.132)、MAP(比值比:1.121;95%置信区间:1.077-1.168)、TC(比值比:1.137;95%置信区间:1.094-1.182)和代谢评分(比值比:1.064;95%置信区间:1.046-1.082)与年轻人颈动脉斑块患病率相关,而与老年人无关。未观察到代谢评分与颈动脉斑块之间存在非线性关系。亚组分析显示,代谢评分与男性、女性、正常体重和超重年轻人的颈动脉斑块患病率之间存在显著相关性。未观察到代谢评分与性别和 BMI 之间存在交互作用。
研究结果支持控制 TyG、MAP、TC 和代谢评分是预防年轻人颈动脉斑块患病率的关键。