Chen Liang-Sien, Chen Yu-Rui, Lin Yi-Hsiu, Wu Hung-Keng, Lee Yan Wen, Chen Jau-Yuan
Department of Family Medicine, Chang-Gung Memorial Hospital, Taoyuan, Taiwan.
College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Front Endocrinol (Lausanne). 2025 Jan 13;15:1438254. doi: 10.3389/fendo.2024.1438254. eCollection 2024.
The rising global prevalence of metabolic syndrome (MetS), characterized by a constellation of cardiovascular risk factors, underscores the urgent need to identify reliable predictive biomarkers. We hypothesize that an elevated atherogenic index of plasma (AIP) predicts MetS risk through lipid imbalance, but population-specific variations in its predictive strength remain unexplored. Our study aimed to assess AIP), a ratio of triglycerides to high-density lipoprotein cholesterol, as a predictor of MetS.
Between 2014 and 2018, our cross-sectional study collected and analyzed health examination data from 9,202 Northern Taiwan Medical Center employees without cardiovascular diseases, diabetes, and end-stage renal disease (ESRD). Our study classified AIP levels equally into three tertiles and evaluated their impact on MetS through a logistic regression model.
After adjusting for age, gender, BMI, SBP, FPG, and LDL in our models, the ORs for MetS in the second and third tertiles of the AIP were 3.81 (95% CI: 2.33 to 6.21; OR: 37.14, 95%: 23.22 to 59.39). In addition, women have a higher MetS risk associated with elevated AIP than men across all models.
Our research identified the AIP as a significant predictive marker for the prevalence of MetS, suggesting its potential utility in clinical risk assessment and indicating the need for further research to explore its application in preventive strategies and therapeutic interventions.
代谢综合征（MetS）在全球的患病率不断上升，其特征为一系列心血管危险因素，这凸显了识别可靠预测生物标志物的迫切需求。我们假设血浆致动脉粥样硬化指数（AIP）升高通过脂质失衡预测MetS风险，但其预测强度在不同人群中的差异尚未得到探索。我们的研究旨在评估作为MetS预测指标的AIP（甘油三酯与高密度脂蛋白胆固醇的比值）。
在2014年至2018年期间，我们的横断面研究收集并分析了9202名台北医学中心员工的健康检查数据，这些员工无心血管疾病、糖尿病和终末期肾病（ESRD）。我们的研究将AIP水平等分为三个三分位数，并通过逻辑回归模型评估其对MetS的影响。
在我们的模型中对年龄、性别、体重指数、收缩压、空腹血糖和低密度脂蛋白进行调整后，AIP第二和第三三分位数中MetS的比值比分别为3.81（95%置信区间：2.33至6.21；比值比：37.14，95%：23.22至59.39）。此外，在所有模型中，女性因AIP升高而患MetS的风险高于男性。
我们的研究确定AIP是MetS患病率的一个重要预测标志物，表明其在临床风险评估中的潜在效用，并表明需要进一步研究以探索其在预防策略和治疗干预中的应用。
