三酰甘油葡萄糖指数与颈动脉粥样硬化斑块的关联分析

Association analysis of the triglyceride-glucose index with carotid atherosclerotic plaques

  • 摘要:
    目的 探讨在不同特征人群中三酰甘油葡萄糖(TyG)指数与颈动脉粥样硬化斑块(CAP)之间的相关性。
    方法 选取2019—2023年在广西壮族自治区柳州市符合纳入和排除标准的1 019例居民作为研究对象。收集研究对象的一般资料、实验室生化指标,并根据颈动脉超声结果将研究对象分为CAP组309例,正常组710例。采用LASSO回归、多因素logistic回归及线性趋势性检验分析不同特征人群中TyG指数与CAP发生之间的相关性。
    结果 LASSO回归筛选出8个变量以构建亚组分析,即年龄、吸烟、高血压、低密度脂蛋白胆固醇(LDL-C)、体质量指数、高密度脂蛋白胆固醇(HDL-C)、性别、饮酒。亚组分析结果表明,在年龄<60岁、饮酒、超重或肥胖人群中,TyG指数与CAP发生之间存在相关性,并且TyG指数与饮酒、超重或肥胖之间存在交互作用。多因素logistic回归结果显示,调整混杂因素后,在超重或肥胖人群中与TyG指数Level 1相比,TyG指数Level 3、Level 4 CAP的发生分别是Level 1的2.118、2.408倍(P<0.05),且线性趋势性检验结果表明,TyG指数与CAP存在线性关系(P趋势<0.05)。
    结论 在超重或肥胖人群中TyG指数与CAP之间存在正相关关系,提示超重或肥胖群体可能是TyG指数评估CAP发生的关键人群。

     

    Abstract:
    Objective To investigate the association between the triglyceride-glucose (TyG) index and the occurrence of carotid atherosclerotic plaque (CAP) in a population with varying characteristics.
    Methods A total of 1, 019 residents from Liuzhou City, Guangxi Zhuang Autonomous Region, who met the inclusion and exclusion criteria between 2019 and 2023, were selected as study participants. General data and laboratory biochemical indices of the participants were collected, and they were categorized into 309 cases in the CAP group and 710 cases in the normal group based on carotid ultrasound results. The correlation between the TyG index and the occurrence of CAP in the population with varying characteristics was analyzed using LASSO regression, multifactorial logistic regression, and linear trend tests.
    Results LASSO regression identified eight variables to construct the subgroups for analysis: age, smoking, hypertension, low-density lipoprotein cholesterol (LDL-C), body mass index (BMI), high-density lipoprotein cholesterol (HDL-C), sex, and drinking. Subgroup analysis results indicated an association between the TyG index and the occurrence of CAP in individuals under 60 years of age, those with drinking, and those who were overweight or obese. Furthermore, an interaction was observed between the TyG index and factors such as drinking, overweight or obesity. The results of multivariate logistic regression showed that, after adjusting for confounders, the occurrence of CAP was 2.118 and 2.408 times higher at Level 3 and Level 4 of the TyG index, respectively, compared with the Level 1 of TyG index in overweight or obese populations (P < 0.05). Moreover, the results of the linear trend test revealed a linear relationship between the TyG index and CAP (Ptrend < 0.05).
    Conclusion There is a positive correlation between the TyG index and CAP among overweight or obese individuals, suggesting that this group may be the key population for using the TyG index to evaluate the occurrence of CAP.

     

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