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《天津医科大学学报》[ISSN:1006-8147/CN:12-1259/R]

卷:

28卷

期数:

2022年01期

页码:

73-76

栏目:

临床研究

出版日期:

2022-01-20

文章信息/Info

Title:

Clinical significance of triglyceride-glucose index and atherogenic index of plasma in evaluating coronary heart disease

文章编号:

1006-8147（2022）01-0099-02

作者:

张倩倩¹; 2; 时涵远¹; 2; 李馨航²; 3; 魏丽萍²

（1.天津医科大学研究生院，天津300070；2.天津市人民医院心脏内科，天津300121；3.天津中医药大学研究生院，天津300073）

Author(s):

ZHANG Qian-qian¹; 2; SHI Han-yuan¹; 2; LI Xin-hang²; 3; WEI Li-ping²

（1.Graduate School，Tianjin Medical University，Tianjin 300070，China; 2. Department of Cardiology，Tianjin Union Medical Center，Tianjin 300121，China; 3. Graduate School ，Tianjin University of Traditional Chinese Medicine，Tianjin 300073，China）

关键词:

妊娠; 结肠癌; 不良结局

Keywords:

triglyceride-glucose index; atherogenic index of plasma;  coronary heart disease

分类号:

R541.4

DOI:

-

文献标志码:

A

摘要:

目的：探讨甘油三酯-葡萄糖（TyG）指数与血浆致动脉硬化指数（AIP）预测冠心病的可行性和相互差异。方法：收集因胸痛疑诊冠心病住院且行冠状动脉造影（CAG）检查的患者274例，经CAG确诊冠心病组161例，余113例未达冠心病诊断标准设为正常对照组。收集患者的一般临床资料和相关实验室检查并计算TyG指数和AIP。以是否冠心病为因变量，控制混杂因素如性别、年龄、体重指数、高血压、吸烟史、冠心病家族史和血浆低密度脂蛋白-胆固醇，分别以TyG指数和AIP为自变量进行多因素Logistic回归分析。通过受试者工作特征（ROC）曲线得到TyG指数和AIP预测冠心病的价值和相互差异。结果：两组体重指数、家族史、总胆固醇、低密度脂蛋白-胆固醇的差异均无统计学意义（均P＞0.05）。多因素Logistic回归分析显示，TyG指数和AIP均是冠心病的独立预测指标（OR=0.951、3.074，95%CI：1.561～4.292、5.383～86.952，均P＜0.001）；TyG指数和AIP预测冠心病的ROC曲线的曲线下面积分别为0.781（95%CI：0.728～0.829，P＜0.001）和0.791（95%CI：0.738～0.838，P＜0.001），两者差异无统计学意义（P＞0.05）。结论：TyG指数和AIP均是冠心病的独立危险因素，两者均可预测冠心病的发生且预测冠心病的能力无统计学差异。

Abstract:

Objective： To explore the feasibility and mutual difference of triglyceride - glucose index（TyG index） and atherogenic index of plasma（AIP） in predicting coronary heart disease. Methods：A total of 274 patients with suspected coronary heart disease due to chest pain were enrolled in the study. All patients received coronary angiography（CAG），161 cases of them were confirmed coronary heart disease and the remaining 113 cases who did not meet the diagnostic criteria of coronary heart disease were as normal control group.The general clinical data and relevant laboratory tests were collected，and the TyG index and AIP were calculated. With coronary heart disease as the dependent variable，gender，age，body mass index，hypertension，smoking history，family history of coronary heart disease and plasma low-density lipoprotein cholesterol（LDL-C）were controlled for confiders，and multivariate Logistic regression analysis was performed with TyG index and AIP as independent variables.The value and mutual difference of TyGindex and AIP in predicting coronary heart disease were obtained by receiver operating characteristic（ROC）curve. Results: There were no significant differences in body mass index，family history，total cholesterol and LDL-C between the two groups（P>0.05）. Multivariate Logistic regression analysis revealed that TyG index and AIP were independent predictors of coronary heart disease（OR=0.951，3.074，95%CI：1.561-4.292，5.383-86.952，P＜0.001）. In the ROC curve of the ability of TyG index and AIP to predict coronary heart disease，the areas under the curve were 0.781（95%CI：0.728-0.829，P <0.001） and 0.791（95%CI：0.738-0.838，P<0.001），and the difference between the two was not statistically significant（P>0.05）. Conclusion：Both TyG index and AIP are independent risk factors for coronary heart disease，and both of them can predict the occurrence of coronary heart disease，and there is no statistical difference in their ability to predict coronary heart disease.

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备注/Memo

备注/Memo:

基金项目 京津冀基础研究合作专项(19JCZDJC63900);天津市人民医院院级重点(2019YJZD001)
作者简介 张倩倩（1993-），女，硕士在读，研究方向：冠心病的临床与基础研究；通信作者：魏丽萍，E-mail：weilipingme@163.com。

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更新日期/Last Update: 2022-01-20