Retinal microcirculation: A window into systemic circulation and metabolic disease

The retinal microcirculation system constitutes a unique terminal vessel bed of the systemic circulation, and its perfusion status is directly associated with the neural function of the retina. This vascular network, essential for nourishing various layers of the retina, comprises two primary microcirculation systems: the retinal microcirculation and the choroidal microcirculation, with each system supplying blood to distinct retinal layers and maintaining the associated neural function. The blood flow of those capillaries is regulated via different mechanisms. However, a range of internal and external factors can disrupt the normal architecture and blood flow within the retinal microcirculation, leading to several retinal pathologies, including diabetic retinopathy, macular edema, and vascular occlusions. Metabolic disturbances such as hyperglycemia, hypertension, and dyslipidemia are known to modify retinal microcirculation through various pathways. These alterations are observable in chronic metabolic conditions like diabetes, coronary artery disease, and cerebral microvascular disease due to advances in non-invasive or minimally invasive retinal imaging techniques. Thus, examination of the retinal microcirculation can provide insights into the progression of numerous chronic metabolic disorders. This review discusses the anatomy, physiology and pathophysiology of the retinal microvascular system, with a particular emphasis on the connections between retinal microcirculation and systemic circulation in both healthy states and in the context of prevalent chronic metabolic diseases.

[Long-term exposure to air pollution and incidence of coronary heart diseases and stroke in the longitudinal metropolitan studies (LMS) network: the BIGEPI project]

OBJECTIVES

to assess the potential of using longitudinal metropolitan studies (LMS) to study the association between long-term exposure to air pollution and the incidence of acute coronary events and stroke.

DESIGN

closed cohort.

SETTING AND PARTICIPANTS

subjects aged >=30 years, who took part in the 2011 census, residents in 5 cities (Turin, Bologna, Rome, Brindisi and Taranto). Annual concentrations of particulate matter (PM10 and PM2.5), nitrogen dioxide (NO2) and warm-season ozone (O3) (annual O3 in Taranto and Brindisi), estimated through satellite (Turin, Bologna, Rome) or photochemical models (Taranto and Brindisi) with a spatial resolution of 1 km2, were assigned to the census address.

MAIN OUTCOME MEASURES

incidence of coronary heart disease (CHD) and stroke until 31.12.2018 (2019 in Bologna). Cohort-specific Hazard Ratios (HRs), estimated using Cox regression models progressively adjusting for individual and contextual covariates, were pooled with random-effect meta-analysis.

RESULTS

there were 71,872 incident CHD cases and 43,884 incident cases of stroke in almost 18 million person-years. No association was observed between the exposures studied and incidence of CHD and stroke, except for an increase in the incidence of CHD associated with warm-season O3 exposure (HR 1.034 per 5 μg/m3 increase). Some positive associations were found in specific cities (both outcomes in Brindisi with PM10 exposure and in Taranto with NO2 exposure, stroke in Rome with both PM10 and PM2.5), although estimates were not significant in some instances.

CONCLUSIONS

LMS are a high potential tool for the study of comparative medium- and long-term effects of air pollution. Their further development (different definitions of exposure, outcomes, characteristics of the urban areas and extension to other LMS) may make them even more valuable tools for monitoring and planning public health interventions.

Monocyte to high-density lipoprotein ratio is associated with mortality in patients with coronary artery diseases

BACKGROUND

Whether the monocyte to high-density lipoprotein ratio (MHR) is associated with the prognosis of coronary artery disease (CAD) is inconclusive.

METHODS

Patients with CAD were enrolled and their data were collected. Blood was sampled within 24 h after admission. Multivariate Cox regression analysis was performed to determine the relationship between the MHR and all-cause mortality as well as complications during hospitalization.

RESULTS

We included 5371 patients in our cohort study. Among them, 114 (2.12%) patients died in hospital. MHR was independently associated with all-cause mortality (hazard ratio [HR], 1.81; 95% confidence interval [CI] 1.35, 2.42), cardiovascular mortality (1.69; 1.17, 2.45) and non-cardiovascular mortality (2.04; 1.27, 3.28). This association was only observed in patients with hypertension (P for interaction = 0.003). Patients with higher MHR levels also have a higher risk of complications, including infection, pneumonia, electrolyte disturbance, gastrointestinal bleeding, multiple organ dysfunction syndrome, and disturbance of consciousness. The receiver operating characteristic (ROC) analysis showed that the MHR had higher prognostic values than monocytes and high-density lipoprotein.

CONCLUSION

MHR was an independent predictor of all-cause mortality and in-hospital complications in patients with CAD, especially in patients with hypertension.

Association of Troponin T measurements with long-term outcomes in patients with coronary artery disease participating in a secondary prevention trial

BACKGROUND AND AIMS

Identification of high-risk patients in secondary cardiovascular prevention may be challenging, although risk stratification tools are available. Cardiac troponins might have predictive value in identification of high-risk patients. The aim of this study was to investigate the association between cardiac Troponin T (cTnT) levels following a coronary event and long-term outcomes.

METHODS

This study was carried out as a subanalysis from a randomized controlled trial conducted at Sørlandet Hospital, Norway, where patients hospitalized with myocardial infarction (MI) or scheduled percutaneous coronary intervention (PCI)/coronary artery bypass grafting (CABG) were included between 2007 and 2017. Participants were followed-up for up to 10 years after the index event through out-patient consultations. cTnT was assessed at each consultation as well as information regarding new cardiovascular events or death.

RESULTS

A total of 1278 patients (18-80 years) with complete measurements of cTnT were included. cTnT was elevated (≥ 14 ng/L) one year after the primary event in 241 (19%) of participants. Median follow-up was 5.7 [SD 2.7] years. Cox regression analyses showed reduced survival (adjusted HR 0.37, 95% CI 0.19-0.72; p = 0.003) and composite endpoint-free survival (adjusted HR 0.73, 95% CI 0.55-0.98; p = 0.04) in participants with elevated cTnT versus participants with low cTnT after adjustment for risk factors at inclusion and randomization assignment.

CONCLUSIONS

Assessment of cTnT after coronary heart events may help identify patients at high risk of poor outcomes and might contribute to more focused secondary preventive treatment.

TRIAL REGISTRATION

The study is registered in ClinicalTrials.gov (NCT00679237).

Automated ICD coding for coronary heart diseases by a deep learning method

Automated ICD coding via machine learning that focuses on some specific diseases has been a hot topic. As one of the leading causes of death, coronary heart diseases (CHD) have seldom been specifically studied by related research, probably due to lack of data concretely targeting at the diseases. Based on Fuwai-CHD and MIMIC-III-CHD, which are a private dataset from Fuwai Hospital and the CHD-related subset of a public dataset named MIMIC-III respectively, this study aimed at automated CHD coding by a deep learning method, which mainly consists of three modules. The first is a B ERT variant module responsible for encoding clinical text. In the module, we fine-tuned BERT variants with masked language model on clinical text, and proposed a truncation method to tackle the problem that BERT variants generally cannot handle sequences containing more than 512 tokens. The second is a word2vec module for encoding code titles and the third is a label-attention module for integrating the embeddings of clinical text and code titles. In short, we named the method BW_att. We compared BW_att against some widely studied baselines, and found that BW_att performed best in most of the coding missions. Specifically, BW_att reached a Macro-F1 of 96.2% and a Macro-AUC of 98.9% for the top-100 most frequent codes in Fuwai-CHD, which covered 89.2% of the total code occurrences. When predicting the top-50 most frequent codes in MIMIC-III-CHD, BW_att reached a Macro-F1 of 40.5% and a Macro-AUC of 66.1%. Moreover, BW_att was capable of locating informative tokens from clinical text for predicting the target codes. In summary, BW_att can not only suggest CHD codes accurately, but also possess robust interpretability, hence has great potential in facilitating CHD coding in practice.

The Effects of Human Papillomavirus Infection and Vaccination on Cardiovascular Diseases, NHANES 2003-2016

BACKGROUND

Human papillomavirus (HPV) infection has been proposed to be an unconventional risk factor for cardiovascular diseases. We investigated the association between HPV infection and cardiovascular diseases among women with or without HPV vaccination.

METHODS

This cross-sectional study included 9,353 women aged between 20 to 59 years old who were tested for vaginal HPV DNA in the National Health and Nutrition Examination Survey (NHANES) 2003-2016. Cardiovascular diseases were defined as the presence of self-reported coronary heart diseases, heart attacks, angina pectoris, and stroke. The association between HPV and cardiovascular diseases was studied using logistic regression, with adjustment for the potential confounders.

RESULTS

A total of 40.8% of women were HPV DNA positive; 3.0% had cardiovascular diseases; and 9.0% of women received the HPV vaccine. The presence of vaginal HPV infection was associated with cardiovascular diseases (odd ratio [OR] = 1.66, 95% confidence interval [CI] 1.28-2.16), which remained significant (OR = 1.54, 95% CI 1.15-2.08) after adjustment for sociodemographic characteristics, lifestyle behaviors, medical history, family history of cardiovascular diseases, and antihypertensive drugs. The association was absent among those who were vaccinated against HPV (OR= 0.50, 95% CI 0.07-3.51) but present among those who were not (OR = 1.63, 95% CI 1.18-2.25).

CONCLUSIONS

There was an association between HPV infection and cardiovascular diseases. This association was not significant among women vaccinated against HPV. The effect of HPV vaccination on cardiovascular diseases requires further investigation.

A cross-sectional study to correlate antioxidant enzymes, oxidative stress and inflammation with prevalence of hypertension

AIMS

Hypertension a multifactorial consequence of environmental factors, life style and genetics is the well-recognized risk factor contributing to coronary heart diseases. The antioxidant imbalance, excessive reactive oxygen species (ROS) leads to oxidative stress which is pivotal in progression of hypertension. The present study aims to understand the complex interaction between oxidative stress, inflammation and antioxidant system which is crucial to maintain cellular homeostasis which further can exaggerate hypertension pathophysiology.

MATERIALS AND METHODS

The metabolic profile of hypertensive and normotensive subjects from Malwa region, Punjab was compared by estimating lipid profile, cardiac, hepatic and renal markers. The oxidative stress markers (protein carbonyls and lipid peroxidation), inflammatory markers (Nitric oxide, Myeloperoxidase and advanced oxygen protein products), and antioxidant enzymes (Superoxide Dismutase, Catalase, and Total Antioxidant Capacity) were analyzed.

KEY FINDINGS

It is observed that the metabolic markers are altered in hypertensive subjects which further these subjects showed increased oxidative, inflammatory profile and compromised antioxidant status when compared with normotensive subjects. Co-relation analysis validated the involvement of inflammation and oxidative stress in impaired endothelial function and vital organ damage.

SIGNIFICANCE OF STUDY

These markers may act as early indicators of hypertension which usually do not show any physical symptoms, thus can be diagnosed and treated at the earliest. The current study suggests that disturbed homeostasis, a consequence of altered interaction between antioxidant system and inflammatory events raises the oxidative stress levels which eventually leads to hypertension and associated complications. These indicators can serve as early indicators of future chronic complications of hypertension.

Can case-based payment contain healthcare costs? - A curious case from China

We adopted a difference-in-difference (DID) design to evaluate the impact of a case-based payment pilot in Tianjin, China on hospital admission, utilization of varied therapeutic regimes, and the associated costs. We used claim data of all admissions of angina and acute myocardial infarction during July 2015 to June 2018, 18 months before and after the program. Our analyses were supported by convincing common trends tests and a couple of sensitivity analyses. As intended, for patients who received percutaneous coronary stenting (PCS) and were counted in the case-based payment system, we showed that the program decreased length-of-stay, per-admission spending, and out-of-pocket spending by 20.8%, 14.2%, and 95.5%, respectively, but did not increase readmissions. However, when considering all patients who suffered from the two types of coronary heart diseases, we found that the program otherwise increased per-admission spending by nearly 11%. As a result, the program took a perverse effect in increasing monthly spending for the health insurance scheme and the society by 1005.6 thousand USD (47·5%) and 1095·7 thousand USD (34·7%), respectively. Increases in hospital admissions, and proportion of performing PCS accounted for 66·7% and 39·2% of the rise, respectively. In addition, our analysis provided evidence of health providers' cream-skimming behaviors, including selecting younger patients with lower CCI in the case-based system, up-coding complications, and keeping higher cost patients in the fee-for-service payment system. We draw lessons that case-based payment may make an unintended impact that increases healthcare costs when incentives are not properly designed.

The dietary and lifestyle indices of insulin resistance are associated with increased risk of cardiovascular diseases: A prospective study among an Iranian adult population

BACKGROUND AND AIMS

Previous studies have introduced insulin resistance (IR) as a major risk factor for poor cardiovascular diseases (CVDs) outcomes. Diet, body weight, and physical activity are three key pillars of lifestyle that can significantly impact the IR status. We aimed to assess the possible link between the empirical dietary index for IR (EDIR) and the empirical lifestyle index for IR (ELIR) with the risk of chronic heart disease (CHD) and CVDs.

METHODS AND RESULTS

This study was conducted on 4980 participants aged ≥30 years (follow-up rate: 99.85%). Dietary intake data was collected using a validated food frequency questionnaire. Cox proportional hazard regression was used to estimate the hazard ratio and 95% confidence intervals (HRs and 95% CIs) of CVDs and CHD across tertiles of EDIR and ELIR scores. In the final model, after adjusting for all potential confounding variables, participants in the highest tertile of EDIR had a higher risk of CVD (HR:1.36, 95%CI:1.03-1.80, P-trend = 0.016) and CHD (HR:1.36, 95% CI:1.01-1.83, P-trend = 0.023) compared to the lowest tertile. Also, participants with a higher score of ELIR had a higher risk of CVD (HR: 1.64, 95%CI:1.24-2.16, P-trend=<0.001) and CHD (HR: 1.72, 95%CI:1.28-2.32, P-trend=<0.001).

CONCLUSION

A greater adherence to the lifestyle and diet with a higher EDIR and ELIR may be associated with an increased risk of CVD and CHD outcomes in the adult population.

Sex differences in the association between cardiovascular diseases and dementia subtypes: a prospective analysis of 464,616 UK Biobank participants

BACKGROUND

Whether the association of cardiovascular diseases (CVDs) with dementia differs by sex remains unclear, and the role of socioeconomic, lifestyle, genetic, and medical factors in their association is unknown.

METHODS

We used data from the UK Biobank, a population-based cohort study of 502,649 individuals. We used Cox proportional hazards models to estimate sex-specific hazard ratios (HRs) and 95% confidence intervals (CI), and women-to-men ratio of HRs (RHR) for the association between CVD (coronary heart diseases (CHD), stroke, and heart failure) and incident dementia (all-cause dementia, Alzheimer's Disease (AD), and vascular dementia (VD)). The moderator roles of socioeconomic (education, income), lifestyle (smoking, BMI, leisure activities, and physical activity), genetic factors (APOE allele status), and medical history were also analyzed.

RESULTS

Compared to people who did not experience a CVD event, the HRs (95%CI) between CVD and all-cause dementia were higher in women compared to men, with an RHR (Female/Male) of 1.20 (1.13, 1.28). Specifically, the HRs for AD were higher in women with CHD and heart failure compared to men, with an RHR (95%CI) of 1.63 (1.39, 1.91) and 1.32 (1.07, 1.62) respectively. The HRs for VD were higher in men with heart failure than women, with RHR (95%CI) of 0.73 (0.57, 0.93). An interaction effect was observed between socioeconomic, lifestyle, genetic factors, and medical history in the sex-specific association between CVD and dementia.

CONCLUSION

Women with CVD were 1.5 times more likely to experience AD than men, while had 15% lower risk of having VD than men.

Learning dynamic treatment strategies for coronary heart diseases by artificial intelligence: real-world data-driven study

BACKGROUND

Coronary heart disease (CHD) has become the leading cause of death and one of the most serious epidemic diseases worldwide. CHD is characterized by urgency, danger and severity, and dynamic treatment strategies for CHD patients are needed. We aimed to build and validate an AI model for dynamic treatment recommendations for CHD patients with the goal of improving patient outcomes and learning best practices from clinicians to help clinical decision support for treating CHD patients.

METHODS

We formed the treatment strategy as a sequential decision problem, and applied an AI supervised reinforcement learning-long short-term memory (SRL-LSTM) framework that combined supervised learning (SL) and reinforcement learning (RL) with an LSTM network to track patients' states to learn a recommendation model that took a patient's diagnosis and evolving health status as input and provided a treatment recommendation in the form of whether to take specific drugs. The experiments were conducted by leveraging a real-world intensive care unit (ICU) database with 13,762 admitted patients diagnosed with CHD. We compared the performance of the applied SRL-LSTM model and several state-of-the-art SL and RL models in reducing the estimated in-hospital mortality and the Jaccard similarity with clinicians' decisions. We used a random forest algorithm to calculate the feature importance of both the clinician policy and the AI policy to illustrate the interpretability of the AI model.

RESULTS

Our experimental study demonstrated that the AI model could help reduce the estimated in-hospital mortality through its RL function and learn the best practice from clinicians through its SL function. The similarity between the clinician policy and the AI policy regarding the surviving patients was high, while for the expired patients, it was much lower. The dynamic treatment strategies made by the AI model were clinically interpretable and relied on sensible clinical features extracted according to monitoring indexes and risk factors for CHD patients.

CONCLUSIONS

We proposed a pipeline for constructing an AI model to learn dynamic treatment strategies for CHD patients that could improve patient outcomes and mimic the best practices of clinicians. And a lot of further studies and efforts are needed to make it practical.

High-level uric acid in asymptomatic hyperuricemia could be an isolated risk factor of cardio-cerebrovascular diseases: A prospective cohort study

BACKGROUND AND AIMS

Whether the asymptomatic hyperuricemia (AH) raise the cardiovascular disease risk with or without hyperuricemia-related comorbidities still remains contentious. Our study was aimed to quantitatively access the incidence risk of coronary heart disease (CHD) and stroke associated with AH.

METHODS AND RESULTS

In this prospective cohort study, multivariate-adjusted Cox regression models were applied to evaluate the risk of cardiovascular disease (CVD). Baseline serum uric acid beyond normouricemia (357 mmol/L) was quarterly stratified based on the distribution of healthy populations without CVD onset. 1062 CVD first-attack cases were collected among the 29,974 study population (age range: 18-91, mean age: 47.2 ± 13.9 years-old) with a mean follow-up duration of 5.78 ± 0.83 years. The AH showed overall non-association with the CVD incident. However, significantly increased adjusted hazard ratio (HR) of CVD with 95% confidence interval (CI) were observed when the fourth quartile compared with normouricemia stratum in the total cohort population (CHD: 1.42, 1.21-1.68; stroke: 1.27, 1.06-1.41), male (CHD: 1.26, 1.12-1.55), female (CHD: 1.34, 1.04-2.02; stroke: 2.06, 1.13-3.77) and aged over 50 years-old population. Meanwhile, the age-standardized incidence rate of CVD in the fourth quartile was 2-3 times higher than the normouricemia population. After excluded 14,464 baseline population with diabetes, dyslipidemia, and hypertension, consistent results were also observed in the AH population in absence of comorbidities (CHD: 1.51, 1.22-2.25; stroke: 1.68, 1.13-2.39).

CONCLUSION

Asymptomatic hyperuricemia patients exposed to a higher level of uric acid (>=428 mmol/L) could significantly increase the incidence risk of CHD and stroke, with or without hyperuricemia-related comorbidities.

Yoga for secondary prevention of coronary heart disease: A systematic review and meta-analysis

OBJECTIVES

Yoga has been widely practiced and has recently shown benefits in patients with coronary heart disease (CHD), however, evidence is inconsistent.

METHODS

We conducted a systematic review and meta-analysis by searching PubMed/Medline, the Cochrane Central Register of Controlled Trials (CENTRAL), EMBASE and Web of Science from inception to May 31, 2020 for randomised controlled trials (RCTs) comparing yoga with usual care or non-pharmacological interventions in patients with CHD. The primary outcomes were all-cause mortality and health related quality of life (HR-QoL). Secondary outcomes were a composite cardiovascular outcome, exercise capacity and cardiovascular risk factors (blood pressure, lipid profiles and body mass index).

RESULTS

Seven RCTs with a total of 4671 participants were included. Six RCTs compared yoga with usual care and one compared yoga with designed exercise. The mean age of the participants ranged from 51.0-60.7 years and the majority of them were men (85.4 %). Pooled results showed that compared with usual care, yoga had no effect on all-cause mortality (RR, 1.02; 95 % CI, 0.75-1.39), but it significantly improved HR-QoL (SMD, 0.07; 95 % CI, 0.01 - 0.14). A non-significant reduction of the composite cardiovascular outcome was observed (133 vs. 154; RR, 0.63; 95 % CI, 0.15-2.59). Serum level of triglyceride and high density lipoprotein cholesterol, blood pressure and body mass index were also significantly improved. The study comparing yoga with control exercise also reported significantly better effects of yoga on HR-QoL (85.75 vs. 75.24, P < 0.001). No severe adverse events related to yoga were reported.

CONCLUSIONS

Yoga might be a promising alternative for patients with CHD as it is associated with improved quality of life, less number of composite cardiovascular events, and improved cardiovascular risk factors.

Substitution of sugar-sweetened beverages for other beverages and the risk of developing coronary heart disease: Results from the Harvard Pooling Project of Diet and Coronary Disease

Sugar-sweetened beverage (SSB) intake is associated with metabolic disorders. The reduction of SSB intake has been promoted to prevent death and disability from chronic diseases. We investigated the association between SSB intake and the risk of coronary events and death, and assessed if substitution of coffee, tea, milk, fruit juice and artificially-sweetened beverages (ASB) for SSBs was associated with a reduced risk of coronary events and death. This was a follow-up study in which data from six studies were pooled and standard observational analyses were performed. Diet intake was assessed at baseline by food-frequency questionnaires. Hazard ratios (HRs) with 95% confidence intervals for the incidence of coronary events and deaths were calculated by Cox proportional hazards regression. The effect of substituting another beverage for SSBs was calculated by taking the difference in the individual effect estimates. During the median 8.2-year follow-up, 4248 coronary events and 1630 coronary deaths were documented among 284,345 individuals. 355 ml daily increase of SSB intake was associated with an increased risk of coronary events (HR: 1.08; 95%CI: 1.02, 1.14) and possibly coronary death (HR: 1.05; 95%CI: 0.96, 1.16). Substitution analyses suggested that replacing SSBs with coffee (HR: 0.93; 95%CI: 0.87, 1.00) or ASB (HR: 0.89; 95%CI: 0.83, 0.97), might be associated with a lower risk of developing coronary events. We found that SSB intake was associated with an increased risk of coronary events and possibly coronary death. Our findings also suggest that replacing SSB's with ASBs or coffee may lower the risk of developing CHD.

Novel combined variants of LDLR and LDLRAP1 genes causing severe familial hypercholesterolemia

BACKGROUND AND AIMS

Familial hypercholesterolemia (FH) is a predominantly autosomal dominant hereditary disorder with significant potential for expansion of coronary artery disease.

METHODS

To identify candidate variant/s in FH phenotype implicated genes, next-generation sequencing was performed using a targeted customized gene panel.

RESULTS

We recognized a 45-year-old Saudi female FH patient with double variants in the LDLR [c.1255 T > G, p.(Y419D)] and LDLRAP1 genes [c.604_605delTCinsA, p.(S202Tfs*2)]. The proband was found to be homozygous for the LDLR variant and heterozygous for the LDLRAP1 variant. Three of the proband's children were found to be double heterozygous for the LDLR/LDLRAP1 gene variant. While her other three children were heterozygous for the same single LDLR variant. Both variants were not previously reported. The variants segregation pattern correlated with the clinical picture and with the patient's lipid profile. FH severity was greater in the proband while her children did not show any clinical manifestations. The missense variant p.(Y419D) was found to be deleterious and clinically significant based on prediction identified by PolyPhen-2 and Proven. Molecular dynamics simulation was used to further analyze the effect of the variant p.(Y419D) on the structure and function of the LDLR protein. The secondary structure was investigated, as well as the solvent accessibility and stabilizing residues. The frameshift variant of the LDLRAP1 gene results in a truncated peptide that could affect the cellular internalization of LDLR/LDL complex.

CONCLUSIONS

The finding of the combined variants in LDLR/LDLRAP1 genes triggering a severe FH phenotype is essential to elaborate the spectrum of variants causing FH and to understand the genotype-phenotype correlation.

Untargeted metabolomic analysis of coronary artery disease patients with diastolic dysfunction show disturbed oxidative pathway

INTRODUCTION

Left ventricular diastolic dysfunction (LVDD) is common in patients with coronary artery disease (CAD) with prevalence estimates of 34% and constitutes a predictor of all-cause mortality. Although diastolic dysfunction is induced by myocardial ischemia and has been shown to alter the clinical course, the role of coronary artery disease in the diastolic dysfunction and its progression into heart failure has not been completely elucidated.

OBJECTIVE

The present study was conducted to identify possible metabolites in coronary artery disease patients that are differentially regulated in patients with diastolic dysfunction.

METHODS

The serum of CAD (n = 75) patients and young healthy volunteers (n = 43) were analysed by using gas chromatography mass spectrometry (GC-MS) technique. Pre-processing of data results in 1547 features; among them 1064 features were annotated using NIST library.

RESULTS AND CONCLUSION

Fifteen metabolites were found to be statistically different between cases and control. Variation in metabolites were identified and correlated with several clinically important echocardiography parameters i.e. LVDD grades, ejection fraction (EF) and E/e' values. The results suggested that metabolic products of fatty acid oxidation and glucose oxidation pathways such as oleic acid, stearic acid, palmitic acid, linoleic acid, galactose, pyruvic and lactic acids are predominantly up regulated in patients with coronary artery disease and severity of diastolic dysfunction appears to be linked to increase in fatty acid oxidation and inflammation. The metabolic fingerprints of these patients give us an insight into the pathophysiological mechanism of diastolic dysfunction in coronary artery disease patients although it did not identify validated novel markers.

Hypercholesterolemia and Lifetime Risk of Coronary Heart Disease in the General Japanese Population: Results from the Suita Cohort Study

Aim: Lifetime risk (LTR) is a measure of disease burden, which presents the probability of occurrence of a specific disease in the remaining lifetime of a group of people for a given index age. This measure is useful for presenting the risk dynamics of a disease at the population level, which constitutes important public health information toward prevention. To date, there have been no studies investigating the LTR for coronary heart diseases (CHDs) in relation to hypercholesterolemia in Asian populations. Therefore, we estimated the LTR of CHDs according to serum low-density lipoprotein cholesterol (LDL-C).

Methods: The participants included in this study were 2,559 men and 2,848 women, enrolled in the Suita Cohort Study of urban residents followed up from 1989 to 2007 for a total of 69,823 person-years. We estimated the sex- and index-age-specific LTR for the first CHD event among participants with or without hypercholesterolemia (LDL-C ≥ 160 mg/dL), accounting for the competing risk for mortality.

Results: For men with hypercholesterolemia, the LTR was 47.2% (95% confidence interval [CI]: 29.3–65.1%) and 44.5% (95% CI: 21.4–68.5%) for those aged 45 and 75, respectively. The LTRs of women with hypercholesterolemia were also higher than of those without hypercholesterolemia. However, their LTRs were lower for all index ages compared to men. These results did not differ for hypercholesterolemia defined by non-high-density lipoprotein cholesterol.

Conclusions: The presence of hypercholesterolemia increases the LTR for CHDs in the Japanese population, especially in men. This estimate can be used in preventive knowledge translation efforts at the population level.

Job stress and behavioral characteristics in relation to coronary heart disease risk among Japanese police officers

This study examined the association between job-related behavioral characteristics and the risk of coronary heart diseases (CHD) in Japanese male police officers. Compared to office clerks, police officers exhibited greater age-related increases of the prevalence of CHD risk factors, and a clustering number of CHD risk factors was significantly higher in the group of those over 45 yr of age. Among the police officers, coronary-prone behavior was more frequent than that seen in office clerks. The police officers with coronary-prone behavior tended to engage in shift work and to work overtime more; yet they were less likely to perceive job stress and to express the relevant physical and psychological symptoms than those without coronary-prone behavior. The subjects with such behavioral characteristics had a significantly greater number of CHD risk factors. In a multiple regression analysis, coronary-prone behavior together with age, social support, walking hours per day, and amount of alcohol consumption were selected as significant determinants of a cluster of CHD risk factors. These results suggest that coronary-prone behavior may contribute to the higher prevalence of CHD risk factors in police officers via leading the long working hours and the work-related unfavorable lifestyles, such as alcohol drinking and physical inactivity.

Vitamin C down-regulate apo(a) expression via Tet2-dependent DNA demethylation in HepG2 cells

Lipoprotein(a)[Lp(a)] is a risk factor for coronary heart diseases. However, the metabolism of this protein remains poorly understood. Efficient and specific drugs that can decrease high plasma levels of Lp(a) have not been developed yet. Vitamin C is responsible for maintaining the catalytic activity of a group of iron and 2-oxoglutarate (2OG)-dependent dioxygenases and induces the generation of 5-hydroxymethylcytosine (5hmC) via Ten-eleven translocation (Tet) dioxygenases. In addition, It has been reported vitamin C deficiency induces atherosclerosis and increases Lp(a) and apo(a) plasma levels in Lp(a)+ mice. However, the mechanism is still unclear. In this study, we investigated the effects of vitamin C on apo(a) expression and the possible molecular mechanism of vitamin C that influences apolipoprotein(a) [apo(a)] biosynthesis in HepG2 cells. Results showed that vitamin C significantly inhibited the expression and secretion levels of apo(a). Vitamin C can also increase ELK1 expression and hydroxymethylation of ELK1 promoter and the globle DNA in HepG2 cells. In addition, the effects of vitamin C inhibiting the apo(a) expression were attenuated by ELK1siRNA and Tet2siRNA. These results suggested vitamin C down-regulate apo(a) expression via Tet2-dependent DNA demethylation in HepG2 cells.

Risk factor differences between type 2 diabetes patients with ischemic cerebrovascular versus coronary heart diseases at admission

AIMS

Type 2 diabetes mellitus (T2DM) is a major risk factor, and shares many common risk factors with ischemic cerebrovascular diseases (ICVD) and coronary heart diseases (CHD). Few studies have directly compared the differences in common risk factors between T2DM patients with ICVD and CHD at admission.

METHODS

In this cross-sectional study, T2DM patients with or without first-ever ICVD or CHD admitted to our hospital over 3 years were enrolled. Patients' data were retrospectively collected and compared using multivariate logistic regression analyses.

RESULTS

In total, 1208 T2DM patients were enrolled (57.5% men). The median age was 59 years (interquartile range [IQR] 51-69), and duration of diabetes was 7 years (IQR 3-10). Two hundred and two patients (16.7%) were diagnosed with ICVD, 345 (28.6%) with CHD, and 661 (54.7%) had neither ICVD nor CHD. Compared with T2DM patients without ICVD or CHD, ICVD and CHD patients had higher systolic blood pressure (SBP) and older age but lower high-density lipoprotein cholesterol levels (all p<0.01), whereas reduced estimated glomerular filtration rate was only associated with CHD (p<0.05). Furthermore, ICVD patients had higher SBP (every 10-mmHg increase, OR=1.38, 95% CI: 1.26-1.51) and HbA1c levels (OR=1.18, 95% CI: 1.06-1.31) than CHD patients.

CONCLUSIONS

T2DM patients with ICVD and CHD have differences in common risk factors at admission. Higher systolic blood pressure and HbA1c levels may indicate ICVD.

Glycemic load and coronary heart disease in a Mediterranean population: the EPIC Greek cohort study

BACKGROUND AND AIMS

High glycemic load (GL) has been associated with increased coronary heart disease (CHD) risk. We evaluated whether preference of low-GL foods conveys incremental benefits with respect to CHD, especially to people adhering to the traditional Mediterranean diet (MD).

METHODS AND RESULTS

We analyzed data from the Greek European Prospective Investigation into Cancer and Nutrition, including 20,275 participants free of cardiovascular diseases, cancer, or diabetes at baseline and without incident diabetes. Subjects completed a validated, semi-quantitative food frequency questionnaire at enrollment. We calculated a 10-point MD adherence score and the dietary GL, and estimated hazard ratios (HRs) for CHD incidence and mortality through Cox proportional hazard regression. After a median follow-up of 10.4 years, 417 participants developed CHD, and 162 died from the disease. A significant positive association of GL with CHD incidence emerged (HR for the highest versus the lowest tertile = 1.41, 95% confidence interval, CI: 1.05-1.90). HRs for CHD mortality exceeded unity but were not statistically significant. The association with GL was stronger among subjects with higher body mass index. High adherence to MD with low/moderate GL was associated with lower risk of CHD incidence (HR = 0.61, CI: 0.39-0.95) and mortality (HR = 0.47, 95% CI: 0.23-96).

CONCLUSION

High dietary GL increases the risk of CHD. Compared to a high GL diet with suboptimal adherence to the traditional Mediterranean pattern, a low/moderate GL diet that also conforms to the traditional MD principles could lead to a 40% reduced risk for CHD, and over 50% reduced risk for death from CHD.

Effects of Dietary Fat Intake on HDL Metabolism

High-density lipoprotein (HDL) is a lipoprotein which has anti-atherogenic property by reversing cholesterol transport from the peripheral tissues to liver. Low HDL-cholesterol (HDL-C) as well as high low-density lipoprotein-cholesterol (LDL-C) is associated with the development of coronary heart diseases (CHD). Various epidemiological studies have suggested that the development of CHD increase in individuals with less than 40 mg/dL of HDL-C. In spite of accumulation of evidences suggesting a significant association between low HDL-C and CHD, effects of dietary factors on HDL metabolism remained largely unknown. We reviewed published articles about effects of dietary fat intake on HDL metabolism. The substitution of fatty acids (FA) for carbohydrates is beneficially associated with HDL metabolism. Monounsaturated FA intake may not affect HDL-C. Trans-FA is significantly associated with reduction of HDL-C, and is also adversely related with total cholesterol/HDL-C. Fish oils consumption, especially docosahexaenoic acid consumption, may be favorably associated with HDL metabolism. Although plant sterols and stanols may not affect HDL-C, policosanol intake is associated with a clinically significant decrease in the LDL/HDL ratio.

Preventing coronary heart disease risk of slum dwelling residents in India

Coronary heart disease (CHD) is the top cause of mortality and morbidity in India. People in slums are generally at a higher risk for CHD than Indians living in more affluent areas mostly because of the higher prevalence of major CHD risk factors such as uncontrolled hypertension and tobacco use amongst them. Knowing their CHD risk perceptions and bringing them into line with the actual CHD risk is a prerequisite for effective CHD risk management. Consequently, there is need to develop tailored interventions focusing medication management and tobacco cessation to reduce growing CHD epidemic among slum dwellers and long-term CHD burden in India.

Which statin worked best to achieve lipid level targets in a European registry? A post-hoc analysis of the EUROASPIRE III for coronary heart disease patients

OBJECTIVE

The objective of the study is to determine the proportion of patients within the subsample reaching the target lipid levels defined in the European guidelines, stratified according to type and dose of statin used.

BACKGROUND

Many factors affect the attainment of lipid level targets including gender, age, compliance, statin type, and dosage. This study aimed to determine the percentage of post-interventional coronary heart disease (CHD) patients who met the lipid level targets recommended by the Joint European Societies Guidelines, the medications used, and their doses.

METHODS

A post-hoc analysis of a subsample of 2,000 patients from EUROASPIRE III database was selected randomly from patients who attended the interviews (between six months to three years after event). Further stratification according to type and dose of statin was performed.

RESULTS

The sample comprised 74.5% males, and two thirds (63.8%) of the entire sample were over 60 years of age. More women than men showed elevated total cholesterol (>4.5 mmol/l and >4.0 mmol/l), LDL-cholesterol (>2.5 mmol/l and >2.0 mmol/l), and triglycerides (>1.7 mmol/l). Atorvastatin was the most widely used at both discharge and interview (47.1% and 45.4%) than simvastatin (37.7% and 39.4%). A dose of 20 mg atorvastatin was used by 44.10% of patients, while those on fluvastatin used a higher dose: ⩾40 mg in 88.31%. Patients who achieved targeted total cholesterol levels for atorvastatin, fluvastatin, lovastatin and simvastatin showed a trend in dose increase. Pravastatin users who achieved the target were taking a dose of 10 mg (75%) and less were in the 20 mg group (33.33%). Rosuvastatin users who consumed 10 mg and ⩾40 mg dose achieved the lipid level targets by 61.82% and 66.67%, respectively.

CONCLUSION

Compliance with medications was high after a CHD incident in this European sample and the increase of the atorvastatin and simvastatin doses enabled the attainment of the target levels recommended.

Smaller Mean LDL Particle Size and Higher Proportion of Small Dense LDL in Korean Type 2 Diabetic Patients

BACKGROUND

Small dense low density lipoprotein (sdLDL) has recently emerged as an important risk factor of coronary heart disease.

METHODS

The mean LDL particle size was measured in 203 patients with type 2 diabetes mellitus (T2DM) and 212 matched subjects without diabetes using polyacrylamide tube gel electrophoresis. Major vascular complications were defined as stroke, angiographically-documented coronary artery disease or a myocardial infarction. Peripheral vascular stenosis, carotid artery stenosis (≥50% in diameter) or carotid artery plaque were considered minor vascular complications. Overall vascular complications included both major and minor vascular complications.

RESULTS

Diabetic patients had significantly smaller mean-LDL particle size (26.32 nm vs. 26.49 nm) and a higher percentage of sdLDL to total LDL compared to those of subjects without diabetes (21.39% vs. 6.34%). The independent predictors of sdLDL in this study were serum triglyceride level and body mass index (odds ratio [OR], 1.020 with P<0.001 and OR 1.152 with P<0.027, respectively). However, no significant correlations were found between sdLDL and major vascular complications (P=0.342), minor vascular complications (P=0.573) or overall vascular complications (P=0.262) in diabetic subjects.

CONCLUSION

Diabetic patients had a smaller mean-LDL particle size and higher proportion of sdLDL compared to those of subjects without diabetes. Obese diabetic patients with hypertriglyceridemia have an increased risk for atherogenic small dense LDL. However, we could not verify an association between LDL particle size and vascular complications in this study.