scholarly journals Atherogenic Index of Plasma, Triglyceride-Glucose Index and Monocyte-to-Lymphocyte Ratio for Predicting Subclinical Coronary Artery Disease

2021 ◽  
Author(s):  
Yueqiao Si ◽  
Wenjun Fan ◽  
Chao Han ◽  
Jingyi Liu ◽  
Lixian Sun
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Plasma Triglyceride ◽  
Atherogenic Index ◽  
Atherogenic Index Of Plasma ◽  
Lymphocyte Ratio ◽  
Triglyceride Glucose Index ◽  
Artery Disease

scholarly journals Atherogenic Index of Plasma, Triglyceride-Glucose Index and Monocyte-to-Lymphocyte Ratio for Predicting Subclinical Coronary Artery Disease

2020 ◽  
Author(s):  
Yueqiao Si ◽  
Wenjun Fan ◽  
Chao Han ◽  
Jingyi Liu ◽  
Lixian Sun
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Atherogenic Index ◽  
Control Group ◽  
Atherogenic Index Of Plasma ◽  
Lymphocyte Ratio ◽  
Tyg Index ◽  
Independent Risk Factors ◽  
Artery Disease

Abstract Background: The atherogenic index of plasma (AIP), triglyceride-glucose (TyG) index, and monocyte-to-lymphocyte ratio (MLR) are strongly associated with atherogenesis of the coronary artery. This study aimed to investigate the association of the AIP, TyG index, and MLR with subclinical coronary artery disease (CAD) and evaluate their ability to predict subclinical CAD.Methods: A total of 697 asymptomatic patients were enrolled in this study and assigned to the subclinical CAD group (n=332) and control group (n=365). The clinical data, coronary artery calcification score, and calculated AIP, TyG index, and MLR were collected by graduate students in the cardiology division. Multivariate logistic regression models were set up to assess the risk factors for subclinical CAD.Results: The AIP, TyG index and MLR values were higher in the subclinical CAD group than in the control group (all P<0.05). In addition to the classic independent clinical risk factors, increased AIP, TyG index and MLR values were all independent risk factors for subclinical CAD (all P<0.05). The AUCs were higher after combining clinical risk factors than the AIP, TyG index, or MLR alone (all P<0.05).Conclusions: The AIP, TyG index and MLR are independent risk factors for subclinical CAD, which can be useful for improving the diagnosis and prevention of CAD.

ATHEROGENIC INDEX OF PLASMA IS A MARKER OF PLAQUE VULNERABILITY IN CORONARY ARTERY DISEASE

CHEST Journal ◽  
2018 ◽  
Vol 154 (4) ◽  
pp. 85A-86A
Author(s):  
YUB RAJ SEDHAI ◽  
SONEY BASNYAT ◽  
PRASAD KONDA ◽  
AJAY KOIRALA ◽  
PARITOSH PRASAI ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Atherogenic Index ◽  
Plaque Vulnerability ◽  
Atherogenic Index Of Plasma ◽  
Artery Disease

scholarly journals Correlation between Atherogenic index and the severity of coronary artery disease in diabetic patients undergoing elective coronary angiography using Gensini score

QJM ◽  
2020 ◽  
Vol 113 (Supplement_1) ◽  
Author(s):  
A S Elyamani ◽  
M A Elnozahi ◽  
A M Abdelmoteleb
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Coronary Angiography ◽  
Significant Positive Correlation ◽  
Atherogenic Index ◽  
Diabetic Patients ◽  
Gensini Score ◽  
Atherogenic Index Of Plasma ◽  
Positive Correlation ◽  
Artery Disease

Abstract Background Dyslipidemia is one of the most important factors for CAD. Atherogenic index of plasma (AIP) is a new indicator involved in dyslipidemia. However, its relation with CAD severity in diabetic patients is not well established yet. Aim of the Study To study the relationship between atherogenic index of plasma and severity of coronary artery disease (CAD) in the diabetic patients. Methods Our study was conducted on 150 diabetic patient with stable CAD undergoing elective coronary angiography in Al-Agoza Hospital from april 2016 to august 2018. Atherogenic index was calculated from the logarithmically transformed ratio of concentrations of TGs to HDL-C obtained from the patient’s lipid profile. correlation of the AIP and the severity of CAD according to Gensini scoring system was done. Results AIP had a statistically significant positive relation with IDDM (p = 0.033), NIDDM (p = 0.033), HTN (p = 0.024), dyslipedemia (p = 0.042). And a highly significant positive correlation with FBS (p &lt; 0.001, r = 0.479) and HbA1c (p &lt; 0.001, r = 0.538), proximal LAD lesions (p = 0.002), LCX (p &lt; 0.001), and the number of vessls affected (p = 0.005). AIP Also had a highly significant positive correlation with severity of CAD in terms of Gensini score (p &lt; 0.001, r = 0.692). Conclusion AIP is considered a good predictor of CAD severity and multivessel affection in diabetic patients.

scholarly journals Atherogenic Index of Plasma and Coronary Artery Disease in the Adult Population: A Meta-Analysis

2021 ◽  
Vol 8 ◽  
Author(s):  
Jing Wu ◽  
Qiang Zhou ◽  
Zhouxia Wei ◽  
Jinying Wei ◽  
Meizi Cui
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Observational Studies ◽  
Meta Analysis ◽  
Adult Population ◽  
Atherogenic Index ◽  
Current Evidence ◽  
Atherogenic Index Of Plasma ◽  
Adjusted Risk ◽  
Artery Disease

Background: The atherogenic index of plasma (AIP), which is the logarithm of the ratio between the triglyceride and high-density lipoprotein cholesterol (TG/HDL-C) concentrations in molar units, is correlated with the burden of atherosclerosis. This study aimed to evaluate the association between the AIP and coronary artery disease (CAD) in the adult population by performing a meta-analysis.Methods: Observational studies relevant for this meta-analysis were identified by searching the PubMed, Embase, and Web of Science databases. Only studies using multivariate analysis were considered. A random-effects model, which incorporates potential intra-study heterogeneity, was applied to combine the results.Results: Ten observational studies were included. In studies with the AIP analyzed as a continuous variable, a higher AIP was associated with a higher odds of CAD (adjusted risk ratio [RR] per 1-standard deviation [SD] increment of AIP: 2.10, 95% confidence interval [CI]: 1.51–2.93, P &lt; 0.001, I2 = 90%). Further analysis of studies with the AIP analyzed as a categorical variable showed a higher odds of CAD (adjusted RR: 2.35, 95% CI: 1.88–2.93, P &lt; 0.001, I2 = 37%) in the participants with the highest versus the lowest AIP value. Subgroup analyses demonstrated consistent results in asymptomatic and symptomatic populations as well as in male and female participants (all between-group P values &gt; 0.05).Discussion: Current evidence, mostly from cross-sectional studies, suggests that a higher AIP value may be independently associated with CAD in the adult population.

The Atherogenic Index of Plasma: A Powerful and Reliable Predictor for Coronary Artery Disease in Patients With Type 2 Diabetes

Angiology ◽  
2021 ◽  
pp. 000331972110121
Author(s):  
Kuo Zhou ◽  
Zheng Qin ◽  
Jinfan Tian ◽  
Kongyong Cui ◽  
Yunfeng Yan ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Atherogenic Index ◽  
Atherogenic Index Of Plasma ◽  
Artery Disease ◽  
Cad Risk

We evaluated the predictive power of the atherogenic index of plasma (AIP) for coronary artery disease (CAD) in patients with type 2 diabetes mellitus (T2DM). A total of 3278 patients who underwent coronary angiography were consecutively enrolled, including 2052 patients with CAD and 1226 patients with T2DM but without CAD. Patients in the CAD group had higher levels of triglyceride (TG), total cholesterol, low-density lipoprotein cholesterol, AIP and a lower level of high-density lipoprotein cholesterol (HDL-C). In correlation analyses, AIP correlated positively with body mass index, log (homeostasis model assessment of insulin resistance), TG, remnant lipoprotein cholesterol, non–HDL-C, but negatively with age and HDL-C. Multivariate logistic regression analyses demonstrated that AIP was an independent risk factor for CAD in diabetic patients and was validated by multiple models. Furthermore, the ORs for CAD risk were raised with increasing AIP quartiles; ORs of AIP quartiles Q2–Q4 compared with Q1 were 1.56, 1.70, and 2.22, respectively ( Ps < .001), which suggested AIP was the lipid parameter that most strongly associated with incident CAD. In conclusion, AIP is a powerful and reliable biomarker for predicting CAD risk beyond individual lipid profiles in patients with T2DM.

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