Relationship between Coronary VH-IVUS Plaque Characteristics and CTRP9, SAA, and Hcy in Patients with Coronary Heart Disease

Liu, Yongli; Wang, Xubo; Wang, Ting; Zhang, Wenbin; Chang, Ying; Dai, W.; Zhao, Jun; Wang, Zhuoqun; Qi, Yingying; Pan, Hongtao

doi:10.1155/2022/1635446

Cited by 6 publications

(5 citation statements)

References 14 publications

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“…This is because an increase in Hcy content will encourage the growth of vascular smooth muscle cells and impact their ability to function. These changes will also affect lipid metabolism, platelet adhesion, and the development of atherosclerosis ( Liu et al, 2022 ; Huang et al, 2017 ). This is consistent with the research indicating that Hcy content is closely linked to the progression of CAD.…”

Section: Discussionmentioning

confidence: 99%

Correlation analysis of lipid accumulation index, triglyceride-glucose index and H-type hypertension and coronary artery disease

Yuan,

Shao,

Zhao

et al. 2023

PeerJ

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Objective The current research was designed to explore the relationship between the lipid accumulation index (LAP), coronary artery disease (CAD), and the triglyceride-glucose (TyG) index in patient with H-type hypertension. Methods From June 2021 to January 2022, our hospital’s information management system collected data on 186 patients with essential hypertension. The participants were categorized into two groups (H-type hypertension (n = 113) and non-H-type hypertension (n = 73)) based on their homocysteine levels. Both groups’ general condition, lipid accumulation index, triglyceride-glucose index, and Gensini score were compared to determine the factors influencing the severity of CAD in H-type hypertension patients. Results There were statistically significant differences (P < 0.05) in homocysteine (Hcy, GLP-1 and SAA) level, LAP, and TyG indexes, but not in body mass index (BMI), smoking, sex, age, total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), fasting plasma glucose (FPG), diastolic blood pressure, and systolic blood pressure. Additionally, there were substantial variations between the two groups regarding the number of lesion branches, degree of stenosis, and Gensini score (P > 0.05). patient with grade III to IV lesions had substantially higher LAP and TyG indices than those with stage I to II (P < 0.05). TyG (OR = 2.687) and TyG-LAP (OR = 4.512) were the factors determining the incidence of coronary artery disease in H-type hypertension, according to multivariate logistic regression analysis. The lesion number, stenosis degree, and Gensini score (P < 0.05) varied among both groups. LAP and TyG indexes were substantially greater in patients with double and triple vessel lesions than in those without lesions or with single vessel lesions (P < 0.05); similarly, these two indexes were considerably higher in individuals with grade III to IV lesions than in patients with grade I to II lesions (P < 0.05). As per the Pearson correlation analysis, the LAP, TyG indices and SAAlevel were adversely connected to the Gensini score (r = 0.254, 0.262, 0.299, P < 0.05), the GLP-1 level was negatively correlated to the Gensini score (r = −0.291, P < 0.05). TyG (OR = 2.687) and TyG-LAP (OR = 4.512) were the factors determining the frequency of coronary artery disease in H-type hypertension, according to multivariate logistic regression analysis. Conclusion In conclusion, the LAP and TyG indexes were observed to be closely related to the degree of CAD in H-type individuals with hypertension, which can better understand the pathogenesis of coronary artery disease in patients with H-type hypertension and is of great significance for guiding clinical doctors to carry out personalized treatment and management.

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Section: Discussionmentioning

confidence: 99%

Correlation analysis of lipid accumulation index, triglyceride-glucose index and H-type hypertension and coronary artery disease

Yuan,

Shao,

Zhao

et al. 2023

PeerJ

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“…CTRP9 stabilizes plaques and is atheroprotective. Reduced CTRP9 levels are an independent risk factor for CAD in AS patients with thin fibrous caps ( 114 ). Defects in the CTRP9 gene alter the gut microbial composition of mice, increase serum cholesterol and LDL levels, and promote AS progression ( 244 ).…”

Section: Dual-acting Adipokinesmentioning

confidence: 99%

Adipokines in atherosclerosis: unraveling complex roles

Luo,

He,

et al. 2023

Front. Cardiovasc. Med.

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Adipokines are biologically active factors secreted by adipose tissue that act on local and distant tissues through autocrine, paracrine, and endocrine mechanisms. However, adipokines are believed to be involved in an increased risk of atherosclerosis. Classical adipokines include leptin, adiponectin, and ceramide, while newly identified adipokines include visceral adipose tissue-derived serpin, omentin, and asprosin. New evidence suggests that adipokines can play an essential role in atherosclerosis progression and regression. Here, we summarize the complex roles of various adipokines in atherosclerosis lesions. Representative protective adipokines include adiponectin and neuregulin 4; deteriorating adipokines include leptin, resistin, thrombospondin-1, and C1q/tumor necrosis factor-related protein 5; and adipokines with dual protective and deteriorating effects include C1q/tumor necrosis factor-related protein 1 and C1q/tumor necrosis factor-related protein 3; and adipose tissue-derived bioactive materials include sphingosine-1-phosphate, ceramide, and adipose tissue-derived exosomes. However, the role of a newly discovered adipokine, asprosin, in atherosclerosis remains unclear. This article reviews progress in the research on the effects of adipokines in atherosclerosis and how they may be regulated to halt its progression.

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“…Principal component analysis (PCA), minimum redundancy and maximum relevance (mRMR), and five cross validation were proposed by the author [8] for analyzing the models for deducting dimensionalities accuracy was reached by 67 percent. Researchers [9] used logis-tic regression to diagnose Heart Plaque disease with a 96 percent accuracy.Our team has extensive knowledge and research experience that has translate into high quality publications[10]- [21] According to current studies, recognising Heart Plaque disease is difficult due to a lack of accuracy, sensitivity, and specificity. The purpose is to use a Logistic Regression algorithm method rather than the Least Squares Support Vector Machine algorithm strategy to improve the accuracy of Heart Plaque disease identification.…”

Section: Introductionmentioning

confidence: 99%

Heart Plaque detection with improved accuracy using Logistic Regression and comparing with Least Squares Support Vector Machine

Kumar¹,

Vidhya²

2023

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Aim: The major goal of this study is to compare the effectiveness of the Logistic Regression classifier with the Least Squares Support Vector Machine classifier in detecting plaque in the heart with high accuracy. Materials and Methods: In this work, the Logistic Regression and least squares Support Vector Machine methods are compared. There were a total of 20 samples in the Kaggle dataset on Heart Plaque disease. To calculate sample G power of 0.08 with 95% confidence interval, Clincalc is utilized. There are two groups in the training dataset (n = 489 (70 percent)) and the test dataset (n = 277 (30 percent)). Results: The accuracy of both the Logistic Regression and Least Squares Support Vector Machine algorithms is evaluated. The Least Squares Support Vector Machine approach was only 67.3 % accurate, while the Logistic Regression method was 96 % accurate. Since p(2-tailed) < 0.05, in SPSS statistical analysis, a significant difference exists between the two groups. Conclusion: The Logistic Regression algorithm is significantly better than Least Squares Support Vector Machine algorithm in this study in detecting cardiac plaque disease in the dataset.

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Relationship between Coronary VH-IVUS Plaque Characteristics and CTRP9, SAA, and Hcy in Patients with Coronary Heart Disease

Cited by 6 publications

References 14 publications

Correlation analysis of lipid accumulation index, triglyceride-glucose index and H-type hypertension and coronary artery disease

Correlation analysis of lipid accumulation index, triglyceride-glucose index and H-type hypertension and coronary artery disease

Adipokines in atherosclerosis: unraveling complex roles

Heart Plaque detection with improved accuracy using Logistic Regression and comparing with Least Squares Support Vector Machine

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