TyG及AIP与高血压患者颈动脉粥样硬化的相关性

Correlation Between TyG and AIP Index and Carotid Atherosclerosis in Patients with Essential Hypertension

目的探讨甘油三酯葡萄糖指数(TyG)、血浆致动脉粥样硬化指数(AIP)与高血压患者颈动脉粥样硬化(CAS)之间的相关性。方法选取2022年9月至2023年5月就诊于我院的138例原发性高血压患者,行颈动脉超声检查,依据颈动脉内膜中层厚度(cIMT)分为单纯高血压组(45例),颈动脉早期硬化组(43例),颈动脉斑块组(50例)。采集所有入选患者的基本信息,完善血糖、血脂等生化指标并计算出TyG、AIP指数。结果cIMT与各指标间相关性分析:cIMT与TyG、AIP呈正相关(rs>0,P<0.05);与高密度脂蛋白(HDL-C)呈显著负相关(rs<0,P<0.05);线性回归分析显示,cIMT与TyG、AIP存在独立正相关(P<0.05)。3组基线资料分析:甘油三酯(TG)、空腹血糖(FPG)、HDL-C、TyG、AIP差异有统计学意义(P<0.05)。ROC结果在预测颈动脉早期硬化时,TyG的AUC为0.720,AIP的AUC为0.744;在预测颈动脉斑块时,TyG的AUC为0.762,AIP的AUC为0.771。结论TyG、AIP与高血压患者cIMT有相关性,并且对预测高血压患者CAS风险有一定的临床价值。

Objective To explore the relationship between the triglyceride glucose index(TyG),plasma atherogenic index of plasma(AIP),and carotid atherosclerosis(CAS)among essential hypertensive patients.Methods Carotid artery ultrasonography was conducted on 138 patients with essential hypertension from September 2022 to May 2023.Based on the intima-media thickness(cIMT)of the carotid artery,the patients were categorized into three groups:hypertension group(n=45),early carotid atherosclerosis group(n=43),and carotid plaque group(n=50).Collect the basic information of all selected patients,improve blood glucose,blood lipids and other biochemical indicators and calculate TyG,AIP index.Results Correlation analysis between cIMT and various indexes:there was a positive correlation between cIMT and TyG,AIP(rs>O,P<0.05),and a significant negative correlation with HDL-C(rs<0,P<0.05).Further linear regression analysis showed that there was an independent positive correlation between cIMT and TyG and AIP.There were significant differences in TG,FPG,HDL-C,TyG and AIP among the three groups.ROC results:when predicting early carotid atherosclerosis,TyG index AUC was 0.720,AUC was 0.744,and when predicting carotid plaque,TyG index AUC was 0.762 and AUC was 0.771.Conclusion In individuals with hypertension,there exists a relationship among TyG,AIP,and cIMT,which holds significant clinical significance for forecasting the likelihood of CAS onset among hypertensive patients.