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Association between the triglyceride–glucose index and severity of coronary artery disease
by
Qirui Song
, Zinan Zhao
, Xuyang Meng
, Xiang Wang
, Pengfei Jin
, Wei Xu
, Chenguang Yang
, Chenxi Xia
, Fang Wang
, Yibo Xie
in
Age
/ Angiology
/ Antihypertensives
/ Biomarkers
/ Blood Glucose
/ Body mass index
/ Cardiology
/ Cardiovascular disease
/ Cardiovascular diseases
/ Cholesterol
/ Coronary artery
/ Coronary Artery Disease
/ Coronary vessels
/ Creatinine
/ Diabetes
/ Diabetes mellitus
/ Diseases of the circulatory (Cardiovascular) system
/ Drug use
/ Fasting
/ Glomerular filtration rate
/ Glucose
/ Heart diseases
/ High density lipoprotein
/ Hospitals
/ Humans
/ Hypertension
/ Insulin
/ Insulin Resistance
/ Kidney diseases
/ Laboratories
/ Medicine
/ Medicine & Public Health
/ Metabolism
/ Plasma
/ RC666-701
/ Regression analysis
/ Risk Assessment
/ Risk Factors
/ Sociodemographics
/ Statistical analysis
/ Triglycerides
/ Triglyceride–glucose index
/ Variables
/ Vein & artery diseases
2022
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Association between the triglyceride–glucose index and severity of coronary artery disease
by
Qirui Song
, Zinan Zhao
, Xuyang Meng
, Xiang Wang
, Pengfei Jin
, Wei Xu
, Chenguang Yang
, Chenxi Xia
, Fang Wang
, Yibo Xie
in
Age
/ Angiology
/ Antihypertensives
/ Biomarkers
/ Blood Glucose
/ Body mass index
/ Cardiology
/ Cardiovascular disease
/ Cardiovascular diseases
/ Cholesterol
/ Coronary artery
/ Coronary Artery Disease
/ Coronary vessels
/ Creatinine
/ Diabetes
/ Diabetes mellitus
/ Diseases of the circulatory (Cardiovascular) system
/ Drug use
/ Fasting
/ Glomerular filtration rate
/ Glucose
/ Heart diseases
/ High density lipoprotein
/ Hospitals
/ Humans
/ Hypertension
/ Insulin
/ Insulin Resistance
/ Kidney diseases
/ Laboratories
/ Medicine
/ Medicine & Public Health
/ Metabolism
/ Plasma
/ RC666-701
/ Regression analysis
/ Risk Assessment
/ Risk Factors
/ Sociodemographics
/ Statistical analysis
/ Triglycerides
/ Triglyceride–glucose index
/ Variables
/ Vein & artery diseases
2022
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Do you wish to request the book?
Association between the triglyceride–glucose index and severity of coronary artery disease
by
Qirui Song
, Zinan Zhao
, Xuyang Meng
, Xiang Wang
, Pengfei Jin
, Wei Xu
, Chenguang Yang
, Chenxi Xia
, Fang Wang
, Yibo Xie
in
Age
/ Angiology
/ Antihypertensives
/ Biomarkers
/ Blood Glucose
/ Body mass index
/ Cardiology
/ Cardiovascular disease
/ Cardiovascular diseases
/ Cholesterol
/ Coronary artery
/ Coronary Artery Disease
/ Coronary vessels
/ Creatinine
/ Diabetes
/ Diabetes mellitus
/ Diseases of the circulatory (Cardiovascular) system
/ Drug use
/ Fasting
/ Glomerular filtration rate
/ Glucose
/ Heart diseases
/ High density lipoprotein
/ Hospitals
/ Humans
/ Hypertension
/ Insulin
/ Insulin Resistance
/ Kidney diseases
/ Laboratories
/ Medicine
/ Medicine & Public Health
/ Metabolism
/ Plasma
/ RC666-701
/ Regression analysis
/ Risk Assessment
/ Risk Factors
/ Sociodemographics
/ Statistical analysis
/ Triglycerides
/ Triglyceride–glucose index
/ Variables
/ Vein & artery diseases
2022
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Association between the triglyceride–glucose index and severity of coronary artery disease
Journal Article
Association between the triglyceride–glucose index and severity of coronary artery disease
2022
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Overview
Background
The triglyceride–glucose (TyG) index, which is a reliable surrogate marker of insulin resistance (IR), has been associated with cardiovascular diseases. However, evidence of the impact of the TyG index on the severity of coronary artery disease (CAD) is limited. This study investigated the relationship between the TyG index and CAD severity of individuals with different glucose metabolic statuses.
Methods
This study enrolled 2792 participants with CAD in China between January 1, 2018 and December 31, 2021. All participants were divided into groups according to the tertiles of the TyG index as follows: T1 group, TyG index < 6.87; T2 group, TyG index ≥ 6.87 to < 7.38; and T3 group, TyG index ≥ 7.38. The glucose metabolic status was classified as normal glucose regulation, pre-diabetes mellitus (pre-DM), and diabetes mellitus according to the standards of the American Diabetes Association. CAD severity was determined by the number of stenotic vessels (single-vessel CAD versus multi-vessel CAD).
Results
We observed a significant relationship between the TyG index and incidence of multi-vessel CAD. After adjusting for sex, age, body mass index, smoking habits, alcohol consumption, hypertension, estimated glomerular filtration rate, antiplatelet drug use, antilipidemic drug use, and antihypertensive drug use in the logistic regression model, the TyG index was still an independent risk factor for multi-vessel CAD. Additionally, the highest tertile of the TyG group (T3 group) was correlated with a 1.496-fold risk of multi-vessel CAD compared with the lowest tertile of the TyG group (T1 group) (odds ratio [OR], 1.496; 95% confidence interval [CI], 1.183–1.893; P < 0.001) in the multivariable logistic regression model. Furthermore, a dose–response relationship was observed between the TyG index and CAD severity (non-linear P = 0.314). In the subgroup analysis of different glucose metabolic statuses, the T3 group (OR, 1.541; 95% CI 1.013–2.344; P = 0.043) were associated with a significantly higher risk of multi-vessel CAD in individuals with pre-DM.
Conclusions
An increased TyG index was associated with a higher risk of multi-vessel CAD. Our study indicated that TyG as an estimation index for evaluating IR could be a valuable predictor of CAD severity, especially for individuals with pre-DM.
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