Gene expression profiling in elderly patients with familial hypercholesterolemia with and without coronary heart disease.

BACKGROUND AND AIMS: Elderly familial hypercholesterolemia (FH) patients are at high risk of coronary heart disease (CHD) due to high cholesterol burden and late onset of effective cholesterol-lowering therapies. A subset of these individuals remains free from any CHD event, indicating the potential presence of protective factors. Identifying possible cardioprotective gene expression profiles could contribute to our understanding of CHD prevention and future preventive treatment. Therefore, this study aimed to investigate gene expression profiles in elderly event-free FH patients. METHODS: Expression of 773 genes was analysed using the Nanostring Metabolic Pathways Panel, in peripheral blood mononuclear cells (PBMCs) from FH patients ≥65 years without CHD (FH event-free, n = 44) and with CHD (FH CHD, n = 39), and from healthy controls ≥70 years (n = 39). RESULTS: None of the genes were differentially expressed between FH patients with and without CHD after adjusting for multiple testing. However, at nominal p < 0.05, we found 36 (5%) differentially expressed genes (DEGs) between the two FH groups, mainly related to lipid metabolism (e.g. higher expression of ABCA1 and ABCG1 in FH event-free) and immune responses (e.g. lower expression of STAT1 and STAT3 in FH event-free). When comparing FH patients to controls, the event-free group had fewer DEGs than the CHD group; 147 (19%) and 219 (28%) DEGs, respectively. CONCLUSIONS: Elderly event-free FH patients displayed a different PBMC gene expression profile compared to FH patients with CHD. Differences in gene expression compared to healthy controls were more pronounced in the CHD group, indicating a less atherogenic gene expression profile in event-free individuals. Overall, identification of cardioprotective factors could lead to future therapeutic targets.

Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning.

OBJECTIVE: This study aimed to construct a coronary heart disease (CHD) risk-prediction model in people living with human immunodeficiency virus (PLHIV) with the help of machine learning (ML) per electronic medical records (EMRs). METHODS: Sixty-one medical characteristics (including demography information, laboratory measurements, and complicating disease) readily available from EMRs were retained for clinical analysis. These characteristics further aided the development of prediction models by using seven ML algorithms [light gradient-boosting machine (LightGBM), support vector machine (SVM), eXtreme gradient boosting (XGBoost), adaptive boosting (AdaBoost), decision tree, multilayer perceptron (MLP), and logistic regression]. The performance of this model was assessed using the area under the receiver operating characteristic curve (AUC). Shapley additive explanation (SHAP) was further applied to interpret the findings of the best-performing model. RESULTS: The LightGBM model exhibited the highest AUC (0.849; 95% CI, 0.814-0.883). Additionally, the SHAP plot per the LightGBM depicted that age, heart failure, hypertension, glucose, serum creatinine, indirect bilirubin, serum uric acid, and amylase can help identify PLHIV who were at a high or low risk of developing CHD. CONCLUSION: This study developed a CHD risk prediction model for PLHIV utilizing ML techniques and EMR data. The LightGBM model exhibited improved comprehensive performance and thus had higher reliability in assessing the risk predictors of CHD. Hence, it can potentially facilitate the development of clinical management techniques for PLHIV care in the era of EMRs.

Association Between HDL2-C and HDL3-C with Cardiovascular Disease: A Nested Case-Control Study in an Iranian Population.

Background: The contribution of high-density lipoprotein cholesterol (HDL-C) subclasses to incident cardiovascular disease (CVD) and coronary heart disease (CHD) remains a subject of debate. Objectives: The objective of this study was to investigate these associations in a population with a high prevalence of dyslipidemia and CVD. Methods: In a nested case-control study, HDL-C and its subclasses (HDL2-C and HDL3-C) in 370 age and gender-matched case and control subjects were determined. This study employed multivariable-adjusted conditional logistic regression to calculate the odds ratios (ORs) for the associations between HDL-C, HDL2-C, HDL3-C, and HDL2-C/HDL3-C (both as continuous and categorical variables) with incident CVD and CHD. The present study models were adjusted for a comprehensive set of confounders, including body mass index, current smoking, hypertension, type 2 diabetes mellitus, use of lipid-lowering drugs, family history of premature CVD, non-HDL-C, and triglycerides. Results: In multivariate analysis, when considering lipoprotein parameters as continuous variables, a 1-unit increase in HDL-C and HDL3-C was associated with a reduced risk of incident CVD and CHD. For CVD, the ORs (95% confidence intervals [CI]) were 0.95 (0.92 - 0.98) and 0.95 (0.93 - 0.98) for HDL-C and HDL3-C, respectively. The corresponding values for CHD were 0.94 (0.91 - 0.97) and 0.94 (0.91 - 0.97). In the categorical approach to lipoprotein parameters, higher quartiles of HDL-C and HDL3-C, compared to the first quartile, were significantly associated with a lower risk of incident CVD and CHD. The ORs (95% CI) for the fourth quartiles were 0.43 (0.25 - 0.74, P for trend = 0.003) and 0.46 (0.27 - 0.78, P for trend = 0.005) for HDL-C and HDL3-C regarding CVD and 0.32 (0.17 - 0.59) and 0.32 (0.18 - 0.59) (all P for trend = 0.001) regarding CHD, respectively. Paradoxically, across quartiles of HDL2-C/HDL3-C, this lipid ratio was associated with a higher risk of CHD (92% higher risk in the fourth quartile). Conclusions: The results showed that HDL3-C, but not HDL2-C, was primarily responsible for the protective effect of HDL-C against CVD, particularly CHD, in Iranian adults.

Predictive performance of machine learning compared to statistical methods in time-to-event analysis of cardiovascular disease: a systematic review protocol.

BACKGROUND: Globally, cardiovascular disease (CVD) remains the leading cause of death, warranting effective management and prevention measures. Risk prediction tools are indispensable for directing primary and secondary prevention strategies for CVD and are critical for estimating CVD risk. Machine learning (ML) methodologies have experienced significant advancements across numerous practical domains in recent years. Several ML and statistical models predicting CVD time-to-event outcomes have been developed. However, it is not known as to which of the two model types-ML and statistical models-have higher discrimination and calibration in this regard. Hence, this planned work aims to systematically review studies that compare ML with statistical methods in terms of their predictive abilities in the case of time-to-event data with censoring. METHODS: Original research articles published as prognostic prediction studies, which involved the development and/or validation of a prognostic model, within a peer-reviewed journal, using cohort or experimental design with at least a 12-month follow-up period will be systematically reviewed. The review process will adhere to the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist. ETHICS AND DISSEMINATION: Ethical approval is not required for this review, as it will exclusively use data from published studies. The findings of this study will be published in an open-access journal and disseminated at scientific conferences. PROSPERO REGISTRATION NUMBER: CRD42023484178.

A novel rabbit model of atherosclerotic vulnerable plaque established by cryofluid-induced endothelial injury.

Acute thrombosis secondary to atherosclerotic plaque rupture is the main cause of acute cardiac and cerebral ischemia. An animal model of unstable atherosclerotic plaques is highly important for investigating the mechanism of plaque rupture and thrombosis. However, current animal models involve complex operations, are costly, and have plaque morphologies that are different from those of humans. We aimed to establish a simple animal model of vulnerable plaques similar to those of humans. Rabbits were randomly divided into three groups. Group A was given a normal formula diet for 13 weeks. Group C underwent surgery on the intima of the right carotid artery with - 80 °C cryofluid-induced injury after 1 week of a high-fat diet and further feeding a 12-week high-fat diet. Group B underwent the same procedure as Group C but without the - 80 °C cryofluid. Serum lipid levels were detected via ELISA. The plaque morphology, stability and degree of stenosis were evaluated through hematoxylin-eosin (HE) staining, Masson trichrome staining, Elastica van Gieson staining (EVG), and oil red O staining. Macrophages and inflammatory factors in the plaques were assessed via immunohistochemical analysis. The serum low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), and total cholesterol (TC) levels in groups B and C were significantly greater than those in group A. No plaque formation was observed in group A. The plaques in group B were very small. In group C, obvious plaques were observed in the blood vessels, and the plaques exhibited a thin fibrous cap, a large lipid core, and partially visible neovascularization, which is consistent with the characteristics of vulnerable plaques. In the plaques of group C, a large number of macrophages were present, and matrix metalloproteinase 9 (MMP-9) and lectin-like oxidized LDL receptor 1 (LOX-1) were abundantly expressed. We successfully established a rabbit model of vulnerable carotid plaque similar to that of humans through the combination of cryofluid-induced endothelial injury and a high-fat diet, which is feasible and cost effective.

[Application and Effect of Patient Portal System in the Remote Management of Chronic Diseases for Older Adults With Coronary Heart Disease]. / æ‚£è€ é—¨æˆ·ç³»ç»Ÿåœ¨è€å¹´å† å¿ƒç— æ ¢ç— è¿œç¨‹ç®¡ç†ä¸­çš„åº”ç”¨åŠæ•ˆæžœ.

Objective: To investigate the application of personal health record (PHR) and chronic disease management platform established on the basis of patient portal system (PPS) in managing older adults with coronary heart disease and to examine the effect on patients' self-care ability, coping mode, and quality of life. Methods: A total of 532 elderly patients with coronary heart disease were included in the study. All the participants enrolled were admitted to a tertiary-care hospital between January 2019 and June 2021. They were randomly assigned to the study group (269 cases) and the control group (263 cases). Patients in the control group were discharged with the routine discharge procedures and received the routine follow-up care. On the other hand, patients in the study group were discharged and followed up through the PHR and chronic disease management platform established on the basis of PPS. After 6 months, 12 months, and 18 months of patient management, the Exercise of Self-Care Agency (ESCA) Scale, Medical Coping Modes Questionnaire (MCMQ) and Seattle Angina Questionnaire (SAQ) were used to evaluate the patients' self-care ability, coping mode, and quality of life, respectively. The patient management effects of the two groups were analyzed. Results: Before the management programs started, there was no statistically significant difference in the scores for the scales between the two groups of patients. After 6 months, 12 months, and 18 months of patient management, the ESCA scores of both groups were higher than those before patient management started (P<0.05). Facing scores in the MCMQ of both groups were higher than those before patient management started (P<0.05), while the scores for avoidance and yielding were lower than those before patient management started (P<0.05). The SAQ scores of both groups were higher than those before patient management started (P<0.05). After 6 months, 12 months and 18 months of patient management, the ESCA scores of the study group were always higher compared with those of the control group (P<0.05). The facing score of the study group was higher, while the scores for avoidance and yielding were lower compared with those of the control group (P<0.05). The SAQ scores of the study group were higher compared with those of the control group (P<0.05). The medication compliance rate in the study group (83.27%) was higher than that in the control group (69.96%) (P<0.05). The incidence of adverse cardiovascular events in the study group (4.09%) was lower than that in the control group (10.27%) (P<0.05). The average times of emergency treatment and readmission in the study group were lower compared with those of the control group (P<0.05). The patient satisfaction score of the study group was higher compared with that of the control group (P<0.05). Conclusion: The PHR and chronic disease management platform established on the basis of PPS can increase the convenient access to medical care among elderly patients with coronary heart disease, which is conducive to improving their self-care ability, coping mode, and quality of life. In addition, the patient management effect is good.

A Novel Artificial Coronary Plaque to Model Coronary Heart Disease.

BACKGROUND: Experimental coronary artery interventions are currently being performed on non-diseased blood vessels in healthy animals. To provide a more realistic pathoanatomical scenario for investigations on novel interventional and surgical therapies, we aimed to fabricate a stenotic lesion, mimicking the morphology and structure of a human atherosclerotic plaque. METHODS: In an interdisciplinary setting, we engineered a casting mold to create an atherosclerotic plaque with the dimensions to fit in a porcine coronary artery. Oscillatory rheology experiments took place along with long-term stability tests assessed by microscopic examination and weight monitoring. For the implantability in future in vivo setups, we performed a cytotoxicity assessment, inserted the plaque in resected pig hearts, and performed diagnostic imaging to visualize the plaque in its final position. RESULTS: The most promising composition consists of gelatin, cholesterol, phospholipids, hydroxyapatite, and fine-grained calcium carbonate. It can be inserted in the coronary artery of human-sized pig hearts, producing a local partial stenosis and interacting like the atherosclerotic plaque by stretching and shrinking with the vessel wall and surrounding tissue. CONCLUSION: This artificial atherosclerotic plaque model works as a simulating tool for future medical testing and could be crucial for further specified research on coronary artery disease and is going to help to provide information about the optimal interventional and surgical care of the disease.

[Retrospective cross-sectional survey of clinical characteristics and syndrome elements distribution at different stages of coronary heart disease].

The clinical data of coronary heart disease(CHD) patients treated in the First Affiliated Hospital of Guangzhou University of Chinese Medicine and Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine from January 2022 to March 2023 were retrospectively collected. This study involved the descriptive analysis of demographic characteristics, clinical symptoms, and tongue and pulse features. The χ~2 test was conducted to analyze the distribution of syndrome elements and their combinations at diffe-rent stages of CHD, so as to reveal the clinical characteristics and syndrome patterns at various pathological stages of CHD. This study extracted 28 symptom entries, 10 tongue manifestation entries, and 7 pulse manifestation entries, summarized the 5 main disease locations of the heart, lung, liver, spleen, and kidney, and the 8 main disease natures of blood stasis, phlegm turbidity, Qi stagnation, heat(fire), fluid retention, Qi deficiency, Yin deficiency, and Yang deficiency and 8 combinations of disease natures. The χ~2 test showed significant differences in the distribution of syndrome elements including the lung, liver, spleen, kidney, blood stasis, heat(fire), Qi stagnation, heat syndrome, water retention, Qi deficiency, Yin deficiency, and Yang deficiency between different disease stages. Specifically, the liver, blood stasis, heat(fire), and Qi stagnation accounted for the highest proportion during unstable stage, and the lung, spleen, kidney, water retention, Qi deficiency, Yin deficiency, and Yang deficiency accounted for the highest proportion at the end stage. The distribution of Qi deficiency varied in the different time periods after percutaneous coronary intervention(PCI). As shown by the χ~2 test of the syndrome elements combination, the distribution of single disease location, multiple disease locations, single disease nature, double disease natures, multiple natures, excess syndrome, and mixture of deficiency and excess varied significantly at different stages of CHD. Specifically, single disease location, single disease nature, and excess syndrome accounted for the highest proportion during the stable stage, and double disease natures accounted for the highest proportion during the unstable stage. Multiple disease locations, multiple disease natures, and mixture of deficiency and excess accounted for the highest proportion during the end stage. In conclusion, phlegm turbidity and blood stasis were equally serious during the stable stage, and a pathological mechanism caused by blood stasis and toxin existed during the unstable stage. The overall Qi deficiency worsened after PCI, and the end stage was accompanied by the Yin and Yang damage and the aggravation of water retention. There were significant differences in the distribution of clinical characteristics and syndrome elements at different stages of CHD. The pathological process of CHD witnessed the growth and decline of deficiency and excess and the combination of phlegm turbidity and blood stasis, which constituted the basic pathogenesis.

Does erectile dysfunction predict cardiovascular risk? A cross-sectional study of clinical characteristics in patients with erectile dysfunction combined with coronary heart disease.

Background: Erectile Dysfunction (ED) is a common sexual dysfunction in men who are unable to consistently obtain and maintain sufficient penile erection to accomplish a satisfactory sexual life. ED is currently considered to be a predictor of cardiovascular disease (CVD), but few studies have observed the association between ED and clinical features of coronary heart disease (CHD). An investigation of the association between ED and clinical characteristics of CHD was carried out using a cross-sectional study design. Methods: This cross-sectional single-center study was conducted in the Department of Cardiology and included 248 patients. Associations between patients' general information, underlying disease information, coronary heart disease information, and ED severity were statistically and analytically analyzed using SPSS 26.0 software. Patients with comparable clinical characteristics were grouped together using K-means clustering. Finally, ordered logistic regression analysis was performed for general and underlying disease information. Results: In the comparison of general data, age, education, and weekly exercise were associated with the distribution of ED severity. In the comparison of underlying disease information, the number of underlying diseases, hypertension, diabetes, hyperlipidemia, anxiety state, and depressive state were associated with the distribution of ED severity. In the comparison of CHD information, the degree of ED severity was associated with CHD subtypes, lesion sites, number of stenoses, degree of stenosis, and interventional interventions. The time from ED to CHD onset was associated with the subtypes of CHD and the number of stenoses. We clustered the main characteristics of low-risk and high-risk patients and ordered logistic regression analysis found that BMI, smoking, alcoholism, number of underlying diseases, diabetes, anxiety state, and depression state were all risk factors for CHD severity (P < 0.05); the higher the value of the above factors, the more severe the degree of CHD. Age was a protective factor for CHD severity; the younger the patient, the lower the likelihood of myocardial infarction. Conclusion: ED severity and the time from ED to CHD onset may be predictive of coronary heart disease severity. Reducing smoking and alcohol consumption, maintaining a healthy body weight, and regular physical activity are important in preventing CVD in ED patients.

Study on the Interaction Between C3 Gene Polymorphism and Environment in Patients with Type 2 Diabetes Combined with Coronary Artery Disease.

Objective: This study was conducted to investigate the combined effect of genetic variation in the C3 gene and environmental factors on the risk of type 2 diabetes mellitus(T2DM) and coronary artery disease(CAD) in a population from Xinjiang, China. Methods: We conducted a hospital-based case-control study with 896 participants (217 with T2DM+CAD and 679 healthy controls). A polymerase chain reaction-ligase detection reaction was used to identify and genotype TagSNPs in the C3 gene, and the influence of the interaction of two SNP loci (rs1047286 and rs11569562) with the environment on T2DM combined with CAD was evaluated through clinical data, statistical analysis of gene frequencies, and the formation of a gene-environment interaction model. Results: We find that rs11569562 GG is an independent protective factor for T2DM and CAD (OR=0.353, p=0.012), and the variants at its locus may be closely associated with Activated Partial Thromboplastin Time (APTT), lipoprotein a (Lp(a)), Apolipoprotein A (APOA), Aspartate Aminotransferase (AST), Aspartate Aminotransferase (ALT) and AST/ALT levels (all P < 0.05); its GG genotype has significantly lower Gensini score and number of stenoses than the GA and AA genotypes. Multifactorial dimensionality reduction (MDR) finds a strong correlation between rs11569562 and AST (antagonistic effect) (4.44%); the role of rs11569562's influence remains strong in terms of the independent effects of each attribute (1.72%). Conclusions: In this study, we find that variants in the C3 gene loci rs11569562 are associated with the incidence of type 2 diabetes mellitus combined with coronary heart disease in a Chinese population. It is expected to be an independent predictor of type 2 diabetes mellitus combined with coronary heart disease in the Chinese population. Rs11569562 may be associated with lipid levels and coagulation molecules. Clinical Trial Registration: This trial registered on in 2014 at the China Clinical Trials Registry (ChiCTR-TRC-14005114).

The secondary prevention of coronary heart disease in US adults 75 Years and older in daily practice: Results from the National Health and Nutrition Examination Survey 1999-2018 survey.

Background: Pharmacologic therapies, risk factor control, and lifestyle alterations were independently proven to reduce long-term cardiovascular events. However, comprehensive research examining the extent to which individuals aged 75 and above in the United States adhere to national guidelines for the secondary prevention of coronary heart disease is limited. Therefore, the primary objective of this study was to examine the current state of secondary prevention of coronary heart disease in persons 75 years of age and older in the United States and to examine the factors that contribute to inadequate drug utilization and poor control of numerous risk factors. Methods: We identified patients over 75 years of age with coronary heart disease based on the National Health and Nutrition Examination Survey from 1999 to 2018 and analyzed the adequacy of risk factor control and adherence to lifestyle and medication recommendations to assess the effectiveness of coronary heart disease management. Logistic regression analysis was used to identify factors associated with uncontrolled risk factors or noncompliance with recommended medications. Results: We collected information from 1566 known coronary heart disease patients aged ≥75 years of age. The majority were at target goals for blood pressure (58.88%), low-density lipoprotein cholesterol (66.85%), and glycated hemoglobin (76.12%). Only 27.8% and 36.06% were at targets for body mass index and waist circumference, respectively. 91.95% reported smoking cessation, 85.98% followed recommended alcohol consumption, whereas only 10.34% reported sufficient physical activity. For ß blockers, angiotensin -converting enzyme inhibitors/angiotensin receptor blockers, statins, and antiplatelet drugs, the utilization of indicated therapy was 54.41%, 49.36%, 54.79%, and 19.03%, respectively (6.26% for all 4 medications). The results of the logistic regression analysis demonstrated that diabetes mellitus and metabolic syndrome were critical markers of numerous uncontrolled risk variables as well as noncompliance with medication regimens. Conclusions: A vast majority of coronary heart disease patients ≥75 years in the USA exhibited suboptimal overall control of critical coronary heart disease risk factors. For this patient population, more knowledge is necessary to enable patients to receive continuous support, guidance, and counseling.

Association between periodontal disease and coronary heart disease: A bibliometric analysis.

Background: Periodontal disease and coronary heart disease are both prevalent diseases worldwide and cause patients physical and mental suffering and a global burden. Recent studies have suggested a link between periodontal disease and coronary heart disease, but there is less research in this field from the perspective of bibliometrics. Objective: This study aimed to quantitatively analyze the literature on periodontal disease and coronary heart disease to summarize intellectual bases, research hotspots, and emerging trends and pave the way for future research. Methods: The Science Citation Index Expanded database was used to retrieve study records on periodontal disease and coronary heart disease from 1993 to 2022. After manual screening, the data were used for cooperative network analysis (including countries/regions, institutions and authors), keyword analysis, and reference co-citation analysis by CiteSpace software. Microsoft Excel 2019 was applied for curve fitting of annual trend in publications and citations. Results: A total of 580 studies were included in the analysis. The number of publications and citations in this field has shown an upward trend over the past 30 years. There was less direct collaboration among authors and institutions in this field but closer collaboration between countries. The United States was the country with the most published articles in this field (169/580, 29.14%). Based on the results of keyword analysis and literature co-citation analysis, C-reactive protein, oral flora, atherosclerosis, infection, and inflammation were previous research hotspots, while global burden and cardiovascular outcomes were considered emerging trends in this field. Conclusion: Studies on periodontal disease and coronary heart disease, which have attracted the attention of an increasing number of researchers, have been successfully analyzed using bibliometrics and visualization techniques. This paper will help scholars better understand the dynamic evolution of periodontal disease and coronary heart disease and point out the direction for future research. Clinical significance: This paper presents an overview between periodontal disease and coronary heart disease. Further exploration of the two diseases themselves and the potential causal relationship between the two is necessary and relevant, which may impact basic research, diagnosis, and treatment related to both diseases. This will aid the work of researchers and specialist doctors, and ultimately benefit patients with both diseases.

The association of TNF-alpha secretion and mtDNA copy number in CD14+ monocytes of patients with obesity and CHD.

Introduction: Mitochondrial dysfunction may be one of the causes of inflammatory activation of monocytes and macrophages, which leads to excessive secretion of inflammatory mediators and the development of chronic inflammation. Aims: The study was aimed to evaluate the secretion of inflammatory cytokine tumor necrosis factor-α (TNF-α) in the primary culture of monocytes, and to analyze its relationship with the number of mitochondrial DNA (mtDNA) copies in the blood of patients with coronary heart disease (CHD) and obesity. Materials and methods: 108 patients with obesity and concomitant CHD and a control group of 25 participants were included in the study. CD14+ monocytes were isolated by a standard method in a ficoll-urographin gradient, followed by separation using magnetic particles. The number of mtDNA copies was estimated using qPCR. Results: It was demonstrated that the number of mtDNA copies was significantly increased in groups of patients with CHD and obesity + CHD in comparison with control group. mtDNA copy number positively correlated with basal and LPS-stimulated TNF-α secretion, the most significant correlation was found in the group of patients with CHD and obesity. Conclusion: Thus, the change in mtDNA copy number in CD14+ monocytes which indicates the presence of mitochondrial dysfunction, confirm the direct involvement of mitochondria in the violation of the inflammatory response of monocytes revealed in this study as an increased secretion of inflammatory cytokine TNF-α.

Treatment patterns and adherence to lipid-lowering drugs during eight-year follow-up after a coronary heart disease event.

BACKGROUND AND AIMS: Proper prescription and high adherence to intensive lipid lowering drugs (LLD) in patients with coronary heart disease (CHD) are crucial and strongly recommended. The aim of this study is to investigate long-term treatment patterns and adherence to LLD following hospitalization for a CHD event. METHODS: Patients admitted to two Norwegian hospitals with a CHD event from 2011 to 2014 (N = 1094) attended clinical examination and completed a questionnaire, median 16 months later. Clinical data were linked to pharmacy dispensing data from 2010 to 2020. The proportions using high-intensity statin therapy (atorvastatin 40/80 mg or rosuvastatin 20/40 mg) and non-statin LLD after the CHD event were assessed. Adherence was evaluated by proportion of days covered (PDC) and gaps in treatment. RESULTS: Median age at hospitalization was 63 (IQR 12) years, 21 % were female. Altogether, 1054 patients (96 %) were discharged with a statin prescription, while treatment was dispensed in 85 % within the following 90 days. During median 8 (SD 2.5) years follow-up, the proportion using high-intensity statin therapy ranged 62-68 %, whereas the use of ezetimibe increased from 4 to 26 %. PDC <0.8 was found in 22 % of statin users and 26 % of ezetimibe users. The proportions with a treatment gap exceeding 180 days were 22 % for statins and 28 % for ezetimibe. Smoking at hospitalization and negative affectivity were significantly associated with reduced statin adherence, regardless of adherence measure. CONCLUSIONS: In this long-term follow-up of patients with CHD, less than 70 % used high-intensity statin therapy with only small changes over time, and only 25 % used additional treatment with ezetimibe. We identified factors associated with reduced statin adherence that may be target for interventions.

The Use of Precision Epigenetic Methods for the Diagnosis and Care of Stable Coronary Heart Disease Reduces Healthcare Costs.

INTRODUCTION: The cost of secondary prevention of coronary heart disease (CHD) is continuing to increase, with a substantial portion of this acceleration being driven by the expense of confirmatory diagnostic testing. Conceivably, newly developed precision epigenetic technologies could drive down these costs. However, at the current time, their impact on overall expense for CHD care is poorly understood. We hypothesized that the use of a newly developed, highly sensitive, and specific epigenetic test, PrecisionCHD, could decrease the costs of secondary prevention. METHODS: To test this hypothesis, we constructed a budget impact analysis using a cost calculation model that examined the effects of substituting PrecisionCHD for conventional CHD diagnostic tests on the expenses of the initial evaluation and first year of care of stable CHD using a 1-year time horizon with no discounting. RESULTS: The model projected that for a commercial insurer with one million members, full adoption of PrecisionCHD as the primary method of initial CHD assessment would save approximately $113.6 million dollars in the initial year. CONCLUSION: These analyses support the use of precision epigenetic methods as part of the initial diagnosis and care of stable CHD and can meaningfully reduce cost. Real-world pilots to test the reliability of these analyses are indicated.

Differential age-specific associations of LDL cholesterol and body mass index with coronary heart disease.

BACKGROUND AND AIMS: Low-density lipoprotein cholesterol (LDLc) and body mass index (BMI) are not always correlated and their relationship is probably dependent on age, indicating differential age-specific associations of these factors with health outcomes. We aim to discriminate the roles of LDLc and BMI in coronary heart disease (CHD) across different age groups. METHODS: This is a prospective cohort study of 368,274 participants aged 38-73 years and free of CHD at baseline. LDLc and BMI were measured at baseline, and incident CHD was the main outcome. Cox proportional hazards model and restricted cubic spline (RCS) regression were used to estimate hazard ratio (HR) and 95% confidence interval (CI) of exposure on CHD. RESULTS: After a mean of 12 years of follow-up, similar relationships of LDLc and BMI with CHD risk were observed in the overall population but in differential age-specific patterns. Across the age groups of <50, 50-54, 55-59, 60-64 and ≥ 65 years, the LDLc-CHD association diminished with the adjusted HRs decreasing from 1.35, 1.26, 1.19, 1.11 to 1.08; while no declining trend was found in BMI-CHD relationship with the adjusted HRs of 1.15, 1.11, 1.12, 1.13 and 1.15, respectively. The interaction and mediation between LDLc and BMI on CHD risk were more pronounced at young-age groups. LDLc-CHD but not BMI-CHD association was dependent on sex, metabolic syndrome and lipid-lowering drugs use. CONCLUSIONS: There were differential age-specific associations of LDLc and BMI with the risk of developing CHD, calling for future efforts to discriminate the age-different benefits from lipids management or weight control on the primary prevention for CHD.

Characteristics of Postoperative Heart Failure in Older Hip Fractures Patients Combined with Coronary Heart Disease and Construction of a Prediction Model of Nomogram, a Retrospective Cohort Study.

Introduction: Older patients combined with coronary heart disease (CHD) develop acute heart failure (AHF) after hip fracture surgery is common, and this study aimed to investigate the risk factors of postoperative AHF in older hip fracture patients and to construct a nomogram prediction model. Methods: We retrospectively collected older hip fracture patients with CHD who underwent hip fracture surgery at the Third Hospital of Hebei Medical University from January 2017 to December 2021. We divided them into a training set and a validation set. We collected the demographic data, laboratory indicators and imaging examination results. We identified risk factors for postoperative AHF and used R language software to establish a nomogram prediction model, plot ROC curves, calibration curves and DCA decision curves. Results: We retrospectively collected 1288 older hip fractures patients with CHD. After excluding 214 patients who did not meet the criteria, 1074 patients were included in our research and we divided them into the training set and the validation set. In the training set, a total of 346 (42.8%) patients developing postoperative AHF. Through univariate and multivariate logistic regression analysis, we identified the risk factors for postoperative AHF and constructed a nomogram prediction model. The AUC of the prediction model is 0.778. The correction curve shows that the model has good consistency. The decision curve analysis shows that the model has good clinical practicality. Conclusion: There were 42.8% older patients combined with CHD develop postoperative AHF. Among them, fracture type, age, anemia at admission, combined with COPD, ASA ≥ 3, and preoperative waiting time >3 days are risk factors for postoperative AHF. We constructed a nomogram prediction model that can effectively predict the risk of postoperative AHF in older hip fracture patients combined with CHD.

A Chinese classical prescription Xuefu Zhuyu decoction in the treatment of coronary heart disease: An overview.

Background: Coronary heart disease (CHD) is the leading cause of morbidity and mortality worldwide and is a hot topic in cardiovascular disease research. Western medicine treats CHD with stent implantation, anti-angina pectoris, anti-platelet aggregation and other operations or drugs. According to the whole concept and the characteristics of syndrome differentiation, traditional Chinese medicine (TCM) treats CHD according to different syndromes and points out that qi deficiency and blood stasis are the basic pathogenesis of CHD. Xuefu Zhuyu Decoction (XFZYD), as a classic prescription of TCM, has certain value in the treatment of CHD, with the effects of promoting qi, activating blood circulation, dredging collaterals and relieving pain. In addition, it also exhibits advantages in high efficiency, low toxicity, high cost performance, few side effects, and high patient acceptance. Objective: The therapeutic effect and mechanism of XFZYD in the treatment of CHD were searched by literature search, and the components and targets of XFZYD in the treatment of CHD were analyzed by computer simulation technology for molecular docking, providing theoretical basis for clinical treatment of CHD. Method: This study comprehensively searched CNKI, Wanfang, VIP, CBM, Pubmed, Embase, Web of science and other databases, included clinical studies with efficacy evaluation indicators in hospitals according to randomization, and excluded literatures with low quality and no efficacy evaluation indicators. Clinical cases and studies, molecular mechanisms and pharmacological effects of XFZYD in the treatment of CHD were searched, and the effective ingredients and core targets of XFZYD in the treatment of CHD were docked through molecular docking, providing theoretical support for clinical treatment of CHD. Results and Conclusion: Through this study, we found that XFZYD has a significant therapeutic effect in the clinical treatment of coronary heart disease, which can play a role in the treatment of CHD by inhibiting atherosclerosis, inhibiting cardiovascular remodeling, improving oxidative stress damage, improving hemorheology, improving myocardial fibrosis and other mechanisms. Through computer simulation, it was found that the main effective components of XFZYD treatment for CHD were quercetin, kaempferol and luteolin, and the key core targets were IL6, VEGFA and P53, and each component had a high VEGFA libdock score. It is speculated that VEGFA is the key target of XFZYD in the treatment of CHD. Kaempferol and VEGFA had the highest libdock score. kaempferol and IL6 have the highest number of hydrogen bonds, kaempferol and IL6 have the highest number of hydrogen bonds, which indicates that they are most stable, indicating that kaempferol is the key component of XFZYD in the treatment of CHD, which provides a theoretical basis for follow-up experimental research.

Polygenic risk and incident coronary heart disease in a large multiethnic cohort.

Objective: Many studies support the notion that polygenic risk scores (PRS) improve risk prediction for coronary heart disease (CHD) beyond conventional risk factors. However, PRS are not yet considered risk-enhancing factor in guidelines. Our objective was to determine the predictive performance of a commercially available PRS (CARDIO inCode-Score®) compared with the Pooled Cohorts Equations (PCE) in a contemporary, multi-ethnic cohort. Methods: Participants (n = 63,070; 67 % female; 18 % non-European) without prior CHD were followed from 2007 through 12/31/2022. The association between the PRS and incident CHD was assessed using Cox regression adjusting for genetic ancestry and risk factors. Event rates were estimated by categories of PCE and by low/intermediate/high genetic risk within PCE categories; risk discrimination and net reclassification improvement (NRI) were also assessed. Results: There were 3,289 incident CHD events during 14 years of follow-up. Adjusted hazard ratio (aHR) for incident CHD per 1 SD increase in PRS was 1.18 (95 % CI:1.14-1.22), and the aHR for the upper vs lower quintile of the PRS was 1.66 (95 % CI:1.49-1.86). The association was consistent in both sexes, in European participants compared with all minority groups combined and was strongest in the first 5 years of follow-up. The increase in the C-statistic was 0.004 (0.747 vs. 0.751; p < 0.0001); the NRI was 2.4 (0.9-3.8) for the entire cohort and 9.7 (7.5-12.0) for intermediate PCE risk individuals. After incorporating high genetic risk, a further 10 percent of participants at borderline/intermediate PCE risk would be candidates for statin therapy. Conclusion: Inclusion of polygenic risk improved identification of primary prevention individuals who may benefit from more intensive risk factor modification.

The involvement of soluble epoxide hydrolase in the development of cardiovascular diseases through epoxyeicosatrienoic acids.

Arachidonic acid (AA) has three main metabolic pathways: the cycloxygenases (COXs) pathway, the lipoxygenases (LOXs) pathway, and the cytochrome P450s (CYPs) pathway. AA produces epoxyeicosatrienoic acids (EETs) through the CYPs pathway. EETs are very unstable in vivo and can be degraded in seconds to minutes. EETs have multiple degradation pathways, but are mainly degraded in the presence of soluble epoxide hydrolase (sEH). sEH is an enzyme of bifunctional nature, and current research focuses on the activity of its C-terminal epoxide hydrolase (sEH-H), which hydrolyzes the EETs to the corresponding inactive or low activity diol. Previous studies have reported that EETs have cardiovascular protective effects, and the activity of sEH-H plays a role by degrading EETs and inhibiting their protective effects. The activity of sEH-H plays a different role in different cells, such as inhibiting endothelial cell proliferation and migration, but promoting vascular smooth muscle cell proliferation and migration. Therefore, it is of interest whether the activity of sEH-H is involved in the initiation and progression of cardiovascular diseases by affecting the function of different cells through EETs.