Predictive value of traditional risk factors for cardiovascular disease in older people: A systematic review

Predictive performance of cardiovascular disease risk prediction models in older adults: a validation and updating study

BACKGROUND

Current cardiovascular disease (CVD) risk prediction models tailored for older adults are inadequate. This study aimed to validate, update and assess the utility of widely used CVD risk prediction models including American College of Cardiology/American Heart Association, 2008 Framingham, GloboRisk, National Vascular Disease Prevention Alliance and Predict1 originally developed for middle-aged population, as well as an age-specific Systematic COronary Risk Evaluation 2-Older Person model, in Australian and the US community-dwelling older adults.

METHODS

Participants, without history of CVD events, dementia or physical disability, enrolled in the ASPREE (ASPirin in Reducing Events in the Elderly) clinical trial and ASPREE-eXTention observational post-trial follow-up, were considered for CVD risk prediction. The main outcome was predicted CVD risk from adjudicated CVD events. The performance of the original, recalibrated (adjusting models' intercept and slope) and updated (adjusting models' coefficients) models was evaluated by discrimination (C statistic), calibration (calibration plots) and clinical utility (decision curves). Models were extended by incorporating predictors including serum creatinine, depression and socioeconomic status index (Index of Relative Socio-economic Advantage and Disadvantage, IRSAD) into models' equation, and the changes in discrimination were evaluated.

RESULTS

Among 15 618 adults (mean age 75 (4.4) years), 520 men and 498 women experienced CVD events over a median follow-up of 6.3 (IQR: 5.2-7.7) years. Following updating, the discrimination power of models increased for both sexes (C statistics ranged 0.62-0.64 for men and 0.68-0.69 for women). Updated models indicated good calibration, with an added net benefit at the risk thresholds ranging from 4%-10% for women to 5%-12% for men. Incorporating IRSAD, depression and serum creatinine did not improve CVD risk discrimination of updated models.

CONCLUSIONS

Updating models, by adjusting model coefficients to better reflect the characteristics and risk factors of older adults, improves CVD risk prediction in a large cohort of relatively healthy Caucasian population aged 70+. Further external validation in diverse older populations including those with frailty and multimorbidity is recommended before clinical implementation.

The impact of cardiovascular risk factors on cancer progression: a prospective study in female breast cancer survivors

PURPOSE

To examine the effect of selected cardiovascular disease (CVD) risk factors over time on early cancer outcomes in breast cancer (BC) survivors.

METHODS

A prospective study was conducted among women aged 20-65 years with an incident invasive BC enrolled in the Breast and Ovarian Surveillance Service (BOSS) Cohort between 2005 and 2013. CVD risk based on selected risk factors was assessed at baseline and two follow-ups. Participants were categorized into low, medium, and high-risk groups. The primary outcome was BC recurrence (distant or local) or second primary cancer (SPC). Kaplan-Meier failure curves and multivariable Cox proportional hazard models were performed to compare the hazards across CVD risk score groups.

RESULTS

A total of 212 women with invasive BC contributed to 2211 person-years (median follow-up 11.7 years), 103 had low, 73 medium, and 36 high CVD risk scores at baseline. In multivariable analyses, BC survivors with medium CVD risk score had 2.09 times higher risk (95%CI = 1.09-4.02; p = 0.027) of recurrence/SPC compared to survivors with low CVD risk score. This association was particularly pronounced in postmenopausal women, those with estrogen receptor-positive BC, regional disease, or newly diagnosed BC. After excluding women taking cardiac medications, a higher risk of recurrence/SPC was also observed among those in the high-CVD-risk-score group, although not significant.

CONCLUSION

Higher CVD risk score based on selected risk factors was significantly associated with BC recurrence or SPC, particularly in certain subgroups. Monitoring and treating a combination of CVD risk factors in BC survivors may help reduce BC progression.

Clinical Heterogeneity and Transitions of Obesity in Mexico. A Longitudinal Analysis of Multiple Representative National Surveys

BACKGROUND

There is large variation in the individual risk of developing obesity-associated comorbidities. While obesity is highly prevalent in Mexico, data on the extent and heterogeneity of its associated co-morbidities is lacking. Hereby, we estimated the prevalence of different obesity-associated comorbidities, and how they have changed over 15 years.

METHODS

We gathered data from different editions of nationally representative health and nutrition surveys (ENSANUT) from 2006 to 2022. The prevalence of obesity and the coexistence with diabetes, dyslipidemia, hypertension, depression, and impaired mobility, which are outcomes used in the Edmonton Obesity Staging System (EOSS) which assesses three dimensions (medical, mental, and functional) across five incremental severity stages, by sex and age groups were estimated across all included surveys. Metabolically healthy obesity was defined as the absence of diabetes, dyslipidemia and hypertension.

RESULTS

20758 participants were analyzed. Mean BMI increased progressively at all ages from 30.2 to 31.0 across survey rounds. Depression and impaired mobility were highly prevalent even among metabolically healthy obese individuals. While most people with obesity had at least one detectable abnormality, there was large heterogeneity in the presented comorbidities. The most prevalent EOSS categories were stage 2 for the medical dimension (90.1%), and stage 1 for the functional and mental dimensions (75.1% and 62.9%, respectively). The prevalence of obesity-related comorbidities increased with age but was similar across all surveys. In both sexes, metabolically healthy obesity was less likely as age and BMI increased.

CONCLUSION

The prevalence of obesity comorbidities has been stable over time in Mexico but increases with age. The rising prevalence of obesity and the ageing of the population will cause additional burdens to the population and the health system.

Foresight older adults' quality of life in the aging crisis in Iran: A systematic review and meta-analysis

INTRODUCTION

To provide foresight for the older adults' quality of life (QOL) in the aging crisis in Iran, this systematic review and meta-analysis study is conducted.

METHODS

All relevant articles were searched in the English and Persian databases such as Scopus, Web of Science, PubMed, Google Scholar, SID, and Medex regardless of the time range up to December 2023.

RESULTS

Out of 348 articles found, 8 articles were included finally. In total, the QOL of 1093 older adults' people with a mean age of 71.55 ± 6.91 years were evaluated. The study showed that the overall average of the QOL of the older adults is 58.5 ± 10.1 The overall average QOL of the older adults at the Iranian community level was 57.6 ± 15.5. The overall average QOL of the older adults in nursing homes are 60.1 ± 29.7.

CONCLUSION

The Iranian older adults have an average QOL and paying attention to the older adults and their needs and designing interventions to improve their health status should be on the agenda of health policymakers.

The Impact of Dietary Fiber on Cardiovascular Diseases: A Scoping Review

Background/Objectives: Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality globally, placing an ever-increasing burden on healthcare systems. Dietary factors play a crucial role in the development and progression of CVD. Among them, dietary fiber has emerged as a potential modifiable factor with the potential to impact CVD risk. However, the specific and independent effects of dietary fiber on CVD are still not fully understood, making this area of research both challenging and of great significance. Methods: The publications of human studies involving the impact of dietary fiber on CVD were retrieved from databases including PubMed, Embase, Web of Science, Scopus, Cochrane Library, CBM, and China National Knowledge Infrastructure (CNKI). A search was conducted within these databases for studies published between 2014 and 20 March 2024. The included literature was screened and summarized. Results: A total of seven articles were included, and the related studies encompassed various types of dietary fiber, including soluble and insoluble dietary fiber, as well as research from different countries and regions. The outcome indicators involved an important measure known as the hazard ratio (HR). Conclusions: Increasing the intake of dietary fiber could reduce the risk of cardiovascular diseases through various mechanisms. To increase the consumption of dietary fiber from multiple sources, it would be beneficial to develop and promote healthcare interventions to enhance people's awareness of the health benefits of dietary fiber, promote the consumption of fiber-rich foods, and advocate for a healthier diet.

An Intelligent Approach for Early and Accurate Predication of Cardiac Disease Using Hybrid Artificial Intelligence Techniques

This study proposes a new hybrid machine learning (ML) model for the early and accurate diagnosis of heart disease. The proposed model is a combination of two powerful ensemble ML models, namely ExtraTreeClassifier (ETC) and XGBoost (XGB), resulting in a hybrid model named ETCXGB. At first, all the features of the utilized heart disease dataset were given as input to the ETC model, which processed it by extracting the predicted probabilities and produced an output. The output of the ETC model was then added to the original feature space by producing an enriched feature matrix, which is then used as input for the XGB model. The new feature matrix is used for training the XGB model, which produces the final result that whether a person has cardiac disease or not, resulting in a high diagnosis accuracy for cardiac disease. In addition to the proposed model, three other hybrid DL models, such as convolutional neural network + recurrent neural network (CNN-RNN), convolutional neural network + long short-term memory (CNN-LSTM), and convolutional neural network + bidirectional long short-term memory (CNN-BLSTM), were also investigated. The proposed ETCXGB model improved the prediction accuracy by 3.91%, while CNN-RNN, CNN-LSTM, and CNN-BLSTM enhanced the prediction accuracy by 1.95%, 2.44%, and 2.45%, respectively, for the diagnosis of cardiac disease. The simulation outcomes illustrate that the proposed ETCXGB hybrid ML outperformed the classical ML and DL models in terms of all performance measures. Therefore, using the proposed hybrid ML model for the diagnosis of cardiac disease will help the medical practitioner make an accurate diagnosis of the disease and will help the healthcare society decrease the mortality rate caused by cardiac disease.

Exploring lifestyle components and associated factors in newly injured individuals with spinal cord injury

STUDY DESIGN

Cross-sectional analysis from the Inception Cohort of the Swiss Spinal Cord Injury Study (SwiSCI).

OBJECTIVES

To describe five lifestyle components in newly injured individuals with spinal cord injury (SCI), explore co-occurrence of these components, and identify associated personal and clinical factors.

SETTINGS

Initial rehabilitation stay following traumatic and non-traumatic SCI.

METHODS

Lifestyle components including overweight/obesity, low diet score, physical inactivity, smoking, and alcohol consumption were used independently and to calculate a composite lifestyle score. Analyses were conducted using descriptive statistics, co-occurrence analysis, and multivariate logistic regression.

RESULTS

We included 251 individuals, of whom 77.7% were male, 73.7% suffered from traumatic SCI, and 59.8% had paraplegia. The median age was 51 years (IQR 36-64). Approximately twelve weeks after the injury, more than two-thirds of the study population met the criteria for overweight/obesity, and consumed insufficient amounts of fruits and vegetables, and excessive amounts of meat. Alcohol was consumed by 85.3% of individuals, and 26.8% were current smokers. Almost all study participants met the physical activity guidelines (90 min of moderate to strenuous activity physical activity per week). One-quarter of study participants experienced the co-occurrence of overweight/obesity, low diet score and alcohol consumption. Female sex, younger age and higher education were associated with healthier lifestyle components.

CONCLUSION

Despite methodological limitations, this study underscores the complexities of healthy lifestyle adherence among individuals newly injured with SCI. It highlights the necessity of improving and implementing screening strategies throughout the continuum of SCI care as early as possible following the trauma.

[Cardiovascular prevention in old age]

The enormous potential of cardiovascular prevention in terms of expanding the life span and health span is presently nowhere near being realized. The five classical cardiovascular risk factors body mass index (BMI), systolic blood pressure, non-high-density lipoprotein (non-HDL) cholesterol, tobacco smoking, and diabetes mellitus account for more than half of the cases of incident cardiovascular diseases. Cardiovascular prevention is also effective and adequate in seemingly healthy individuals aged 70 years or above, although the association of several cardiovascular risk factors with cardiovascular diseases is less pronounced in old age. The cardiovascular risk of seemingly healthy persons aged 70 years or above can validly be determined using the Systematic COronary Risk Evaluation-Older Persons (SCORE2-OP), leading to risk-adjusted clear treatment recommendations. National and international guidelines advocate individualized cardiovascular prevention in several domains including diet, physical activity and risk factor management through to old age.

Long-Term Glucocorticoid Exposure and Incident Cardiovascular Diseases-The Lifelines Cohort

CONTEXT

Long-term glucocorticoid levels in scalp hair (HairGCs), including cortisol and the inactive form cortisone, represent the cumulative systemic exposure to glucocorticoids over months. HairGCs have repeatedly shown associations with cardiometabolic and immune parameters, but longitudinal data are lacking.

DESIGN

We investigated 6341 hair samples of participants from the Lifelines cohort study for cortisol and cortisone levels and associated these to incident cardiovascular diseases (CVD) during 5 to 7 years of follow-up. We computed the odds ratio (OR) of HairGC levels for incident CVD via logistic regression, adjusting for classical cardiovascular risk factors, and performed a sensitivity analysis in subcohorts of participants < 60 years and ≥ 60 years of age. We also associated HairGC levels to immune parameters (total leukocytes and subtypes).

RESULTS

Hair cortisone levels (available in n = 4701) were independently associated with incident CVD (P < .001), particularly in younger individuals (multivariate-adjusted OR 4.21, 95% CI 1.91-9.07 per point increase in 10-log cortisone concentration [pg/mg], P < .001). All immune parameters except eosinophils were associated with hair cortisone (all multivariate-adjusted P < .05).

CONCLUSION

In this large, prospective cohort study, we found that long-term cortisone levels, measured in scalp hair, represent a relevant and significant predictor for future CVD in younger individuals. These results highlight glucocorticoid action as possible treatment target for CVD prevention, where hair glucocorticoid measurements could help identify individuals that may benefit from such treatments.

The Effects of Pharmacological Urate-Lowering Therapy on Cardiovascular Disease in Older Adults with Gout

Cardiovascular disease is an important cause of mortality in older patients. In addition to the traditional risk factors for cardiovascular disease, hyperuricemia has been increasingly associated with an elevated risk of cardiovascular disease. Uric acid itself has several unfavorable effects on the cardiovascular system, and hyperuricemia can lead to the development of gout. Gout is the most prevalent inflammatory rheumatic disease. Older patients with gout have an increased risk of cardiovascular morbidity and mortality due to an increased prevalence of traditional risk factors, as well as the inflammatory burden of gout activity. As the prevalence of traditional risk factors and the prevalence of both hyperuricemia and gout are increasing in older adults, cardiovascular risk management in these patients is very important. This risk management consists of, on the one hand, treatment of individual traditional risk factors and, on the other hand, of urate lowering, thereby decreasing inflammatory burden of gout. However, there is insufficient evidence to conclude that urate-lowering therapy reduces the risk of cardiovascular events. Moreover, from a cardiovascular point of view, there is no preference for one urate lowering drug over another in patients with gout, nor is there enough evidence to support a preference in patients with gout with increased cardiovascular risk. Personalized treatment in older patients with gout should be aimed at optimizing serum uric acid levels, as well as targeting traditional cardiovascular risk factors. Further prospective randomized trials are needed to support the hypothesis that urate lowering reduces cardiovascular risk in older patients with gout.

The Reasons for the Low Uptake of New Antidiabetic Drugs with Cardiovascular Effects-A Family Doctor Perspective

Chronic diseases, such as type 2 diabetes (T2D), are difficult to manage because they demand continuous therapeutic review and monitoring. Beyond achieving the target HbA1c, new guidelines for the therapy of T2D have been introduced with the new groups of antidiabetics, glucagon-like peptide-1 receptor agonists (GLP-1ra) and sodium-glucose cotransporter-2 inhibitors (SGLT2-in). Despite new guidelines, clinical inertia, which can be caused by physicians, patients or the healthcare system, results in T2D not being effectively managed. This opinion paper explores the shift in T2D treatment, challenging assumptions and evidence-based recommendations, particularly for family physicians, considering the patient's overall situation in decision-making. We looked for the possible reasons for clinical inertia and the poor application of guidelines in the management of T2D. Guidelines for antidiabetic drugs should be more precise, providing case studies and clinical examples to define clinical contexts and contraindications. Knowledge communication can improve confidence and should include clear statements on areas of decision-making not supported by evidence. Precision medicine initiatives in diabetes aim to identify subcategories of T2D patients (including frail patients) using clustering techniques from data science applications, focusing on CV and poor treatment outcomes. Clear, unconditional recommendations for personalized T2D management may encourage drug prescription, especially for family physicians dealing with diverse patient contexts and clinical settings.

Cardiovascular-specific mortality and risk factors in colorectal Cancer patients: A cohort study based on registry data of over 500,000 individuals in the US

BACKGROUND

Colorectal cancer (CRC) is one of the most common cancers worldwide, and recent studies have found that CRC patients are at increased risk for cardiovascular disease (CVD). This study aimed to investigate competing causes of death and prognostic factors among a large cohort of CRC patients and to describe cardiovascular-specific mortality in relation to the US standard population.

METHODS

This registry-based cohort study identified patients diagnosed with CRC between 1973 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database in the US. Cumulative mortality functions, conditional standardized mortality ratios, and cause-specific hazard ratios were calculated.

RESULTS

Of the 563,298 eligible CRC patients included in this study, 407,545 died during the follow-up period. CRC was the leading cause of death, accounting for 49.8% of all possible competing causes of death. CVD was the most common non-cancer cause of death, accounting for 17.8% of total mortality. This study found that CRC patients have a significantly increased risk of cardiovascular-specific mortality compared to the US standard population, with the risk increasing with age and extended survival time.

CONCLUSION

This study highlights the need to develop multidisciplinary prevention and management strategies for CRC and CVD to improve CRC patients' survival and quality of life.

The relationship of diagonal earlobe crease (Frank's sign) and obstructive coronary artery disease in patients undergoing coronary angiography

BACKGROUND

Traditional risk factors for cardiovascular disease (CVD) play an important role in the clinical evaluation of patients with symptoms suggestive of coronary artery disease (CAD). The utility of the diagonal earlobe crease (DELC) in predicting the presence of CAD is controversial.

PURPOSE

To investigate the association between DELC, traditional CVD risk factors, and obstructive CAD.

METHODS

This prospective study included 1377 patients (mean age 65 ± 10 years, 64% male) who underwent invasive coronary angiography for suspected acute or chronic coronary syndromes. In addition to routine clinical assessment, all patients underwent visual examination of both earlobes for the presence of DELC. All assessments were made by three independent readers, with a majority vote in the case of disagreement. Obstructive CAD was defined by invasive coronary angiography as > 50% stenosis of the left main coronary artery or > 70% stenosis in any other major epicardial coronary artery.

RESULTS

Bilateral DELC was observed more frequently in patients with obstructive CAD than in those without it (67% vs. 33%, p = 0.022). In the multivariate logistic regression model, bilateral DELC was independently associated with CAD (odds ratio [OR] 1.36, 95% confidence interval [CI] 1.07-1.74), along with smoking (OR 1.86, 95% CI 1.44-2.38), diabetes mellitus (OR 1.67, 95% CI 1.29-2.15), male sex (OR 2.04, 95% CI 1.61-2.58), and dyslipidemia (OR 1.54, 95% CI 1.12-2.30); however, the diagnostic accuracy of DELC was modest and resembled that of traditional CVD risk factors.

CONCLUSION

Despite being independently associated with obstructive CAD, DELC is not a reliable stand-alone clinical marker of CAD due to modest diagnostic accuracy.

Rapid weight change as a predictor of disability among community-dwelling Japanese older adults

AIM

To fill the knowledge gap regarding weight change and the onset of disability in community-dwelling Japanese older adults, we investigated the potential effects of rapid weight change on disability risk as defined by Japan's long-term care insurance (LTCI) system.

METHODS

We analyzed data from a longitudinal study of 10 375 community-dwelling older Japanese adults (≥65 years) who were not LTCI needs certified at baseline and joined the study from 2002 to 2005. Weight change (percentage) was calculated by subtracting participants' weight in the previous year from that measured during a physical examination at study commencement. The five weight-change categories ranged from sizable weight loss (≤ -8.0%) to sizable weight gain (≥ +8.0%). Disability was defined according to LTCI certifications at follow-up. Hazard ratios (HRs) and 95% confidence intervals were calculated for new-onset disability using a Cox proportional hazards model that fitted the proportional subdistribution hazards regression model with weights for competing risks of death.

RESULTS

During the mean 10.5-year follow-up, 2994 participants developed a disability. Sizable weight loss (HR [95% confidence intervals], 1.41 [1.17-1.71]) and weight loss (1.20 [1.05-1.36]) were significant predictors of disability onset. Sizable weight gain (1.45 [1.07-1.97]) corresponded to severe disability. Stratified analyses by lifestyle and initial body mass index categories revealed more pronounced associations between weight change and disability risk in the unhealthy lifestyle and below initial normal body mass index groups.

CONCLUSIONS

Rapid and sizable weight gain could be additional criteria for disability risk in older adults. Geriatr Gerontol Int 2023; 23: 809-816.

Impact of cardiac history and myocardial scar on increase of myocardial perfusion after revascularization

PURPOSE

We sought to assess the impact of coronary revascularization on myocardial perfusion and fractional flow reserve (FFR) in patients without a cardiac history, with prior myocardial infarction (MI) or non-MI percutaneous coronary intervention (PCI). Furthermore, we studied the impact of scar tissue.

METHODS

Symptomatic patients underwent [15O]H2O positron emission tomography (PET) and FFR before and after revascularization. Patients with prior CAD, defined as prior MI or PCI, underwent scar quantification by magnetic resonance imaging late gadolinium enhancement.

RESULTS

Among 137 patients (87% male, age 62.2 ± 9.5 years) 84 (61%) had a prior MI or PCI. The increase in FFR and hyperemic myocardial blood flow (hMBF) was less in patients with prior MI or non-MI PCI compared to those without a cardiac history (FFR: 0.23 ± 0.14 vs. 0.20 ± 0.12 vs. 0.31 ± 0.18, p = 0.02; hMBF: 0.54 ± 0.75 vs. 0.62 ± 0.97 vs. 0.91 ± 0.96 ml/min/g, p = 0.04). Post-revascularization FFR and hMBF were similar across patients without a cardiac history or with prior MI or non-MI PCI. An increase in FFR was strongly associated to hMBF increase in patients without a cardiac history or with prior MI/non-MI PCI (r = 0.60 and r = 0.60, p < 0.01 for both). Similar results were found for coronary flow reserve. In patients with prior MI scar was negatively correlated to hMBF increase and independently predictive of an attenuated CFR increase.

CONCLUSIONS

Post revascularization FFR and perfusion were similar among patients without a cardiac history, with prior MI or non-MI PCI. In patients with prior MI scar burden was associated to an attenuated perfusion increase.

Cardiovascular Event Predictors in Hospitalized Chronic Kidney Disease (CKD) Patients: A Nationwide Inpatient Sample Analysis

INTRODUCTION

This study seeks to confirm the risk factors linked to cardiovascular (CV) events in chronic kidney disease (CKD), which have been identified as CKD-related. We aim to achieve this using a larger, more diverse, and nationally representative dataset, contrasting with previous research conducted on smaller patient cohorts.

METHODS

 The study utilized the nationwide inpatient sample database to identify adult hospitalizations for CKD from 2016 to 2020, employing validated ICD-10-CM/PCS codes. A comprehensive literature review was conducted to identify both traditional and CKD-specific risk factors associated with CV events. Risk factors and CV events were defined using a combination of ICD-10-CM/PCS codes and statistical commands. Only risk factors with specific ICD-10 codes and hospitalizations with complete data were included in the study. CV events of interest included cardiac arrhythmias, sudden cardiac death, acute heart failure, and acute coronary syndromes. Univariate and multivariate regression models were employed to evaluate the association between CKD-specific risk factors and CV events while adjusting for the impact of traditional CV risk factors such as old age, hypertension, diabetes, hypercholesterolemia, inactivity, and smoking.

RESULTS

 A total of 690,375 hospitalizations for CKD were included in the analysis. The study population was predominantly male (375,564, 54.4%) and mostly hospitalized at urban teaching hospitals (512,258, 74.2%). The mean age of the study population was 61 years (SD 0.1), and 86.7% (598,555) had a Charlson comorbidity index (CCI) of 3 or more. At least one traditional risk factor for CV events was present in 84.1% of all CKD hospitalizations (580,605), while 65.4% (451,505) included at least one CKD-specific risk factor for CV events. The incidence of CV events in the study was as follows: acute coronary syndromes (41,422; 6%), sudden cardiac death (13,807; 2%), heart failure (404,560; 58.6%), and cardiac arrhythmias (124,267; 18%). A total of 91.7% (113,912) of all cardiac arrhythmias were atrial fibrillations. Significant odds of CV events on multivariate analyses included: malnutrition (aOR: 1.09; 95% CI: 1.06-1.13; p<0.001), post-dialytic hypotension (aOR: 1.34; 95% CI: 1.26-1.42; p<0.001), thrombophilia (aOR: 1.46; 95% CI: 1.29-1.65; p<0.001), sleep disorder (aOR: 1.17; 95% CI: 1.09-1.25; p<0.001), and post-renal transplant immunosuppressive therapy (aOR: 1.39; 95% CI: 1.26-1.53; p<0.001).

CONCLUSION

The study confirmed the predictive reliability of malnutrition, post-dialytic hypotension, thrombophilia, sleep disorders, and post-renal transplant immunosuppressive therapy, highlighting their association with increased risk for CV events in CKD patients. No significant association was observed between uremic syndrome, hyperhomocysteinemia, hyperuricemia, hypertriglyceridemia, leptin levels, carnitine deficiency, anemia, and the odds of experiencing CV events.

The Effects of Subjective Wellbeing and Self-Rated Health on Lifetime Risk of Cardiovascular Conditions in Women

Subjective wellbeing may predict future health conditions, and lower self-rated physical health (SRH) is associated with the presence of chronic conditions, such as cardiovascular disease (CVD). This study examines whether subjective wellbeing and SRH predict long-term CVD conditions for women using the Midlife in the United States study. The study cohort includes 1716 women participants who completed waves 1 (1995-1996), 2 (2004-2006), and 3 (2013-2014). Data on demographics, chronic conditions of diabetes and CVD, subjective wellbeing (life satisfaction, positive affect, and negative affect), and SRH were collected repeatedly at each wave. Multiple logistic regressions were conducted to test whether subjective wellbeing was associated with a lifetime CVD risk. Greater life satisfaction was significantly associated with a lower risk of CVD at 10 years (odds ratio (OR): 0.83; 95% confidence interval (CI): 0.74-0.95) and 19 years (OR: 0.83; 95% CI: 0.74-0.93), while positive and negative affects were not significantly associated. Additionally, better physical SRH significantly lowered odds of having cardiovascular conditions at both 10 years (OR: 0.79; 95% CI 0.68-0.92) and 19 years (OR 0.74; 95% CI: 0.64-0.86). Measures of life satisfaction and SRH can be used as additional CVD screening tools.

Cardiovascular disease and type 2 diabetes in older adults: a combined protocol for an individual participant data analysis for risk prediction and a network meta-analysis of novel anti-diabetic drugs

Introduction

Older and multimorbid adults with type 2 diabetes (T2D) are at high risk of cardiovascular disease (CVD) and chronic kidney disease (CKD). Estimating risk and preventing CVD is a challenge in this population notably because it is underrepresented in clinical trials. Our study aims to (1) assess if T2D and haemoglobin A1c (HbA1c) are associated with the risk of CVD events and mortality in older adults, (2) develop a risk score for CVD events and mortality for older adults with T2D, (3) evaluate the comparative efficacy and safety of novel antidiabetics.

Methods and analysis

For Aim 1, we will analyse individual participant data on individuals aged ≥65 years from five cohort studies: the Optimising Therapy to Prevent Avoidable Hospital Admissions in Multimorbid Older People study; the Cohorte Lausannoise study; the Health, Aging and Body Composition study; the Health and Retirement Study; and the Survey of Health, Ageing and Retirement in Europe. We will fit flexible parametric survival models (FPSM) to assess the association of T2D and HbA1c with CVD events and mortality. For Aim 2, we will use data on individuals aged ≥65 years with T2D from the same cohorts to develop risk prediction models for CVD events and mortality using FPSM. We will assess model performance, perform internal-external cross validation, and derive a point-based risk score. For Aim 3, we will systematically search randomized controlled trials of novel antidiabetics. Network meta-analysis will be used to determine comparative efficacy in terms of CVD, CKD, and retinopathy outcomes, and safety of these drugs. Confidence in results will be judged using the CINeMA tool.

Ethics and dissemination

Aims 1 and 2 were approved by the local ethics committee (Kantonale Ethikkommission Bern); no approval is required for Aim 3. Results will be published in peer-reviewed journals and presented in scientific conferences.

Development and validation of a novel 10-year cardiovascular risk prediction nomogram for the United Arab Emirates national population

OBJECTIVES

Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of morbidity and mortality among United Arab Emirates (UAE) nationals. Recent studies have shown that current tools are poor in predicting the risk of incident ASCVD in Emiratis. To improve ASCVD risk prediction in this high-risk population, this study sought to develop and validate a novel and practical 10-year ASCVD risk nomogram using risk factors known to be significant in UAE nationals.

DESIGN

A 10-year retrospective cohort study.

SETTING

Outpatient clinics at a large public tertiary care hospital in Al-Ain, UAE.

PARTICIPANTS

Emiratis aged ≥18 years without prior cardiovascular disease (CVD) who had presented to Tawam Hospital's clinics between 1 April 2008 and 31 December 2008, were included. Patients' data were collected retrospectively until 31 January 2020.

EXPOSURE

Cox proportional hazards models were developed to estimate the 10-year ASCVD risk.

PRIMARY OUTCOME MEASURE

Model discrimination and calibration were assessed using the Harrell C-statistic and the Greenwood-Nam-D'Agostino (GND) χ² test, respectively. Receiver operating characteristic curve analysis was used to determine the optimal cut-off point of the nomogram for elevated ASCVD risk.

RESULTS

The study included 1245 patients, of whom 117 developed ASCVD within 10 years. The ASCVD risk nomogram comprised age, sex, family history of CVD, hypertension treatment, systolic blood pressure, total cholesterol, glycosylated haemoglobin A1c and estimated glomerular filtration rate. The Harrell C-statistic was 0.826 and the GND χ² was 2.83 (p=0.830), which indicated good discrimination and calibration of the nomogram model, respectively. The optimal cut-off point was determined to be 10% (sensitivity=79%; specificity=77%). The nomogram can be freely accessed as an online calculator at (https://ascvdriskuae.shinyapps.io/ASCVDrisk/).

CONCLUSIONS

The developed nomogram provides an accurate prognostic tool for 10-year ASCVD risk prediction in UAE nationals. These findings may help guide future research on CVD prevention in this high-risk population.

Stroke risk in older British men: Comparing performance of stroke-specific and composite-CVD risk prediction tools

Stroke risk is currently estimated as part of the composite risk of cardiovascular disease (CVD). We investigated if composite-CVD risk prediction tools QRISK3 and Pooled Cohort Equations-PCE, derived from middle-aged adults, are as good as stroke-specific Framingham Stroke Risk Profile-FSRP and QStroke for capturing the true risk of stroke in older adults. External validation for 10y stroke outcomes was performed in men (60-79y) of the British Regional Heart Study. Discrimination and calibration were assessed in separate validation samples (FSRP n = 3762, QStroke n = 3376, QRISK3 n = 2669 and PCE n = 3047) with/without adjustment for competing risks. Sensitivity/specificity were examined using observed and clinically recommended thresholds. Performance of FSRP, QStroke and QRISK3 was further compared head-to-head in 2441 men free of a range of CVD, including across age-groups. Observed 10y risk (/1000PY) ranged from 6.8 (hard strokes) to 11 (strokes/transient ischemic attacks). All tools discriminated weakly, C-indices 0.63-0.66. FSRP and QStroke overestimated risk at higher predicted probabilities. QRISK3 and PCE showed reasonable calibration overall with minor mis-estimations across the risk range. Performance worsened on adjusting for competing non-stroke deaths. However, in men without CVD, QRISK3 displayed relatively better calibration for stroke events, even after adjustment for competing deaths, including in oldest men. All tools displayed similar sensitivity (63-73 %) and specificity (52-54 %) using observed risks as cut-offs. When QRISK3 and PCE were evaluated using thresholds for CVD prevention, sensitivity for stroke events was 99 %, with false positive rate 97 % suggesting existing intervention thresholds may need to be re-examined to reflect age-related stroke burden.

Development of a Model to Predict 10-Year Risk of Ischemic and Hemorrhagic Stroke and Ischemic Heart Disease Using the China Kadoorie Biobank

BACKGROUND AND OBJECTIVES

Contemporary cardiovascular disease (CVD) risk prediction models are rarely applied in routine clinical practice in China due to substantial regional differences in absolute risks of major CVD types within China. Moreover, the inclusion of blood lipids in most risk prediction models also limits their use in the Chinese population. We developed 10-year CVD risk prediction models excluding blood lipids that may be applicable to diverse regions of China.

METHODS

We derived sex-specific models separately for ischemic heart disease (IHD), ischemic stroke (IS), and hemorrhagic stroke (HS) in addition to total CVD in the China Kadoorie Biobank. Participants were age 30-79 years without CVD at baseline. Predictors included age, systolic and diastolic blood pressure, use of blood pressure-lowering treatment, current daily smoking, diabetes, and waist circumference. Total CVD risks were combined in terms of conditional probability using the predicted risks of 3 submodels. Risk models were recalibrated in each region by 2 methods (practical and ideal) and risk prediction was estimated before and after recalibration.

RESULTS

Model derivation involved 489,596 individuals, including 45,947 IHD, 43,647 IS, and 11,168 HS cases during 11 years of follow-up. In women, the Harrell C was 0.732 (95% CI 0.706-0.758), 0.759 (0.738-0.779), and 0.803 (0.778-0.827) for IHD, IS, and HS, respectively. The Harrell C for total CVD was 0.734 (0.732-0.736), 0.754 (0.752-0.756), and 0.774 (0.772-0.776) for models before recalibration, after practical recalibration, and after ideal recalibration. The calibration performances improved after recalibration, with models after ideal recalibration showing the best model performances. The results for men were comparable to those for women.

DISCUSSION

Our CVD risk prediction models yielded good discrimination of IHD and stroke subtypes in addition to total CVD without including blood lipids. Flexible recalibration of our models for different regions could enable more widespread use using resident health records covering the overall Chinese population.

CLASSIFICATION OF EVIDENCE

This study provides Class I evidence that a prediction model incorporating accessible clinical variables predicts 10-year risk of IHD, IS, and HS in the Chinese population age 30-79 years.

Obesity and Leptin Resistance in the Regulation of the Type I Interferon Early Response and the Increased Risk for Severe COVID-19

Obesity, and obesity-associated conditions such as hypertension, chronic kidney disease, type 2 diabetes, and cardiovascular disease, are important risk factors for severe Coronavirus disease-2019 (COVID-19). The common denominator is metaflammation, a portmanteau of metabolism and inflammation, which is characterized by chronically elevated levels of leptin and pro-inflammatory cytokines. These induce the “Suppressor Of Cytokine Signaling 1 and 3” (SOCS1/3), which deactivates the leptin receptor and also other SOCS1/3 sensitive cytokine receptors in immune cells, impairing the type I and III interferon early responses. By also upregulating SOCS1/3, Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV)-2 adds a significant boost to this. The ensuing consequence is a delayed but over-reactive immune response, characterized by high-grade inflammation (e.g., cytokine storm), endothelial damage, and hypercoagulation, thus leading to severe COVID-19. Superimposing an acute disturbance, such as a SARS-CoV-2 infection, on metaflammation severely tests resilience. In the long run, metaflammation causes the “typical western” conditions associated with metabolic syndrome. Severe COVID-19 and other serious infectious diseases can be added to the list of its short-term consequences. Therefore, preventive measures should include not only vaccination and the well-established actions intended to avoid infection, but also dietary and lifestyle interventions aimed at improving body composition and preventing or reversing metaflammation.

Heterogeneity of Treatment Effects for Intensive Blood Pressure Therapy by Individual Components of FRS: An Unsupervised Data-Driven Subgroup Analysis in SPRINT and ACCORD

Background

Few studies have answered the guiding significance of individual components of the Framingham risk score (FRS) to the risk of cardiovascular disease (CVD) after antihypertensive treatment. This study on the systolic blood pressure intervention trial (SPRINT) and the Action to Control Cardiovascular Risk in Diabetes blood pressure trial (ACCORD-BP) aimed to reveal previously undetected association patterns between individual components of the FRS and heterogeneity of treatment effects (HTEs) of intensive blood pressure control.

Methods

A self-organizing map (SOM) methodology was applied to identify CVD-risk-specific subgroups in the SPRINT (n = 8,773), and the trained SOM was utilized directly in 4,495 patients from the ACCORD. The primary endpoints were myocardial infarction (MI), non-myocardial infarction acute coronary syndrome (non-MI ACS), stroke, heart failure (HF), death from CVD causes, and a primary composite cardiovascular outcome. Cox proportional hazards models were then used to explore the potential heterogeneous response to intensive SBP control.

Results

We identified four SOM-based subgroups with distinct individual components of FRS profiles and the CVD risk. For individuals with type 2 diabetes mellitus (T2DM) in the ACCORD or without diabetes in the SPRINT, subgroup I characterized by male with the lowest concentrations for total cholesterol (TC) and high-density lipoprotein (HDL) cholesterol measures, experienced the highest risk for major CVD. Conversely, subgroup III characterized by a female with the highest values for these measures represented as the lowest CVD risk. Furthermore, subgroup II, with the highest systolic blood pressure (SBP) and no antihypertensive agent use at baseline, had a significantly greater frequency of non-MI ACS under intensive BP control, the number needed to harm (NNH) was 84.24 to cause 1 non-MI ACS [absolute risk reduction (ARR) = −1.19%; 95% CI: −2.08, −0.29%] in the SPRINT [hazard ratio (HR) = 3.62; 95% CI: 1.33, 9.81; P = 0.012], and the NNH of was 43.19 to cause 1 non-MI ACS (ARR = −2.32%; 95% CI: −4.63, 0.00%) in the ACCORD (HR = 1.81; 95% CI: 1.01–3.25; P = 0.046). Finally, subgroup IV characterized by mostly younger patients with antihypertensive medication use and smoking history represented the lowest risk for stroke, HF, and relatively low risk for death from CVD causes and primary composite CVD outcome in SPRINT, however, except stroke, a low risk for others were not observed in ACCORD.

Conclusion

Similar findings in patients with hypertensive with T2DM or without diabetes by multivariate subgrouping suggested that the individual components of the FRS could enrich or improve CVD risk assessment. Further research was required to clarify the potential mechanism.

Estimating Risk of Cardiovascular Disease Among Long-Term Colorectal Cancer Survivors: A Nationwide Cohort Study

Background

Concerns about a growing number of colorectal cancer survivors have emerged regarding cardiovascular disease (CVD) risks. However, there is not yet a predictive tool that can estimate CVD risk and support the management of healthcare as well as disease prevention in terms of CVD risk among long-term colorectal cancer survivors.

Aim

To develop predictive tools to estimate individualized overall and each subtype of CVD risk using a nationwide cohort in South Korea.

Methods and Results

A total of 4,709 newly diagnosed patients with colorectal cancer who survived at least 5 years in the National Health Insurance System were analyzed. Cox proportional hazard regression was used for the identification of independent risk factors for the derivation of predictive nomograms, which were validated in an independent cohort (n = 3,957). Age, fasting serum glucose, γ-glutamyl transpeptidase, Charlson comorbidity index, household income, body mass index, history of chemotherapy, cigarette smoking, and alcohol consumption were identified as independent risk factors for either overall CVD or each subtype of CVD subtype. Based on the identified independent risk factors, six independent nomograms for each CVD category were developed. Validation by an independent cohort demonstrated a good calibration with a median C-index of 0.687. According to the nomogram-derived median score, relative risks of 2.643, 1.821, 4.656, 2.629, 4.248, and 5.994 were found for overall CVD, ischemic heart disease, myocardial infarction, total stroke, ischemic stroke, and hemorrhage stroke in the validation cohort.

Conclusions

The predictive tools were developed with satisfactory accuracy. The derived nomograms may support the estimation of overall and individual CVD risk for long-term colorectal cancer survivors.

Factors Affecting Quality of Life among Older Adults with Hypertension in Urban and Rural Areas in Thailand: A Cross-Sectional Study

This study explored factors affecting quality of life in older adults with hypertension by comparing those living in urban and rural areas. A cross-sectional study was conducted on 420 older adults living in urban and rural areas in Thailand. Data were collected using the WHOQOL-OLD and Health-Promoting Lifestyle Profile-II tools, which measured quality of life and health-promoting behaviors among the participants. Older adults in urban areas had higher quality of life scores than those in rural locations. Health-promoting behaviors significantly predicted higher quality of life for all residents. A high perceived health status predicted increase of quality of life in urban residents, whereas the presence of comorbidity effects decreased quality of life. A longer hypertension duration predicted higher quality of life in rural residents. These findings suggest that healthy behaviors and self-management interventions are critical to improve quality of life in older Thai adults with hypertension.

Effects of "Bacuri" Seed Butter (Platonia insignis Mart.) on Metabolic Parameters in Hamsters with Diet-Induced Hypercholesterolemia

This study aimed to evaluate the effects of the treatment with bacuri seed butter (BB) on body weight, growth, body mass index, lipid profile, atherosclerotic indices, and liver function in dyslipidemic hamsters. Freshly weaned, male hamsters were divided into four groups: (1) normal group (NG)—maintained with standard chow (AIN-93G); (2) dyslipidemia group (DG)—maintained with hyperlipidemic chow (AIN-93G modified) throughout the follow-up period; (3) bacuri seed butter 25 mg/kg/day (BB-25); and (4) bacuri seed butter 50 mg/kg/day (BB-50). BB groups (25 and 50 mg/kg/day) were also maintained with hyperlipidemic chow throughout the follow-up period, and the treatment started after 21 days receiving a hyperlipidemic diet to induce hypercholesterolemia and maintained for 28 days. No significant differences in triglycerides and total cholesterol were observed for BB-25 and BB-50 groups when compared with NG and DG groups. On the contrary, BB-25 and BB-50 induced both increase of HDL-c (51.40 ± 1.69 and 51.00 ± 2.34, respectively) and decrease of LDL-c (103.80 ± 6.87 and 100.50 ± 3.95, respectively) when compared with DG (41.00 ± 2.94 and 132.70 ± 9.41, respectively). In addition, BB promoted a reduction in the risk of atherosclerotic disease by decreasing (p < 0.05) the atherogenic index, coronary artery risk index, and LDL/CT ratio (p < 0.05) and increasing HDL/CT ratio. On the contrary, no changes were observed in total cholesterol and triglyceride levels or in body weight, growth, body mass index, or liver function parameters. Thus, bacuri seed butter at doses of 25 and 50 mg/kg/day has positive repercussions on the lipid profile, more precisely on plasma HDL-c and LDL-c, and additionally promotes reduction in the risk of atherosclerosis in hamsters.

Association of glycated hemoglobin A1c levels with cardiovascular outcomes in the general population: results from the BiomarCaRE (Biomarker for Cardiovascular Risk Assessment in Europe) consortium

BACKGROUND

Biomarkers may contribute to improved cardiovascular risk estimation. Glycated hemoglobin A1c (HbA1c) is used to monitor the quality of diabetes treatment. Its strength of association with cardiovascular outcomes in the general population remains uncertain. This study aims to assess the association of HbA1c with cardiovascular outcomes in the general population.

METHODS

Data from six prospective population-based cohort studies across Europe comprising 36,180 participants were analyzed. HbA1c was evaluated in conjunction with classical cardiovascular risk factors (CVRFs) for association with cardiovascular mortality, cardiovascular disease (CVD) incidence, and overall mortality in subjects without diabetes (N = 32,496) and with diabetes (N = 3684).

RESULTS

Kaplan-Meier curves showed higher event rates with increasing HbA1c levels (log-rank-test: p < 0.001). Cox regression analysis revealed significant associations between HbA1c (in mmol/mol) in the total study population and the examined outcomes. Thus, a hazard ratio (HR) of 1.16 (95% confidence interval (CI) 1.02-1.31, p = 0.02) for cardiovascular mortality, 1.13 (95% CI 1.03-1.24, p = 0.01) for CVD incidence, and 1.09 (95% CI 1.02-1.17, p = 0.01) for overall mortality was observed per 10 mmol/mol increase in HbA1c. The association with CVD incidence and overall mortality was also observed in study participants without diabetes with increased HbA1c levels (HR 1.12; 95% CI 1.01-1.25, p = 0.04) and HR 1.10; 95% CI 1.01-1.20, p = 0.02) respectively. HbA1c cut-off values of 39.9 mmol/mol (5.8%), 36.6 mmol/mol (5.5%), and 38.8 mmol/mol (5.7%) for cardiovascular mortality, CVD incidence, and overall mortality, showed also an increased risk.

CONCLUSIONS

HbA1c is independently associated with cardiovascular mortality, overall mortality and cardiovascular disease in the general European population. A mostly monotonically increasing relationship was observed between HbA1c levels and outcomes. Elevated HbA1c levels were associated with cardiovascular disease incidence and overall mortality in participants without diabetes underlining the importance of HbA1c levels in the overall population.

Cardiovascular risk in the elderly population of Spain. The EPICARDIAN risk score

BACKGROUND AND OBJECTIVES

Cardiovascular risk estimation in people over 70 years of age is problematic. Most scores have been created based on cohorts of middle-aged people, with an underrepresentation of older adults. The predictive power of classical cardiovascular risk factors declines with age. The aim of this work is to develop a specific score for estimating cardiovascular risk among the elderly population in Spain.

METHODS

This work is a population-based cohort established in 1995.

SETTING

Three geographical areas of Spain (Madrid, Ávila, and Lugo).

PARTICIPANTS

3,729 people older than 64 years with no cardiovascular diseases (CVD) at baseline.

MEASUREMENTS

Suspected fatal and nonfatal CVD (both coronary heart disease and stroke) were investigated annually and confirmed using the WHO-MONICA criteria. All participants were followed-up on until occurrence of a first CVD event, until death, or until December 31, 2015.

RESULTS

Age was the strongest predictor of CVD at 10 years in both men and women. In men, variables associated with CVD were high blood pressure treatment (HR: 1.35; 95% CI: 1.067-1.710), diabetes (HR: 1.359; 95% CI: 0.997-1.852), and smoking (HR: 1.207; 95% CI: 0.945-1.541) and in women, the variables were smoking (HR: 1.881; 95% CI: 1.356-2.609) and diabetes (HR: 1.285; 95% CI: 0.967-1.707). Total cholesterol did not increase the risk of CVD in men or women. However, total cholesterol levels >200 mg/dL were inversely associated with 10-year risk of CVD in men and women.

CONCLUSIONS

In elderly Spanish men, total CVD at 10 years is significantly increased by age, diabetes, and antihypertensive treatment and in elderly Spanish women by diabetes and smoking. Total cholesterol levels did not increase the risk of CVD, particularly in males.

Study on the correlation between Left Ventricular Hypertrophy and Coronary Artery disease in the very elderly patients with hypertension

Objective:

To investigate the relationship between left ventricular hypertrophy (LVH) and coronary artery disease in the very elderly (over 80 years old) patients with hypertension.

Methods:

One hundred twenty cases of very elderly patients with hypertension admitted to our hospital from March 2018 to December 2020 were selected and divided into two groups: the LVH group and the non-LVH group, all of whom were older aged over 80 years, including 62 patients in the LVH group and 58 patients in the non-LVH group. All patients underwent cardiac color Doppler ultrasound examination, 24-hour dynamic ECG examination, and coronary angiography or coronary CTA examination. The clinical data of the two groups were analyzed statistically.

Results:

There were significant differences in the number of diseased vessels, degree of coronary stenosis and vascular calcification between the two groups (P<0.05). Moreover, the results of risk factors for the degree of coronary artery disease in the two groups showed that the history of diabetes, 2hPG and LVH were independent risk factors for the three-vessel disease, while the history of LVH, FPG and alcohol intake were independent risk factors for diffuse lesions, but there was no statistical difference in the correlation between them and the degree of coronary stenosis.

Conclusion:

LVH is an independent risk factor for coronary artery stenosis and calcification in the very elderly patients with hypertension, but there is no statistical difference in the correlation between LVH and the degree of coronary stenosis.

Internal-external cross-validation helped to evaluate the generalizability of prediction models in large clustered datasets

OBJECTIVE

To illustrate how to evaluate the need of complex strategies for developing generalizable prediction models in large clustered datasets.

STUDY DESIGN AND SETTING

We developed eight Cox regression models to estimate the risk of heart failure using a large population-level dataset. These models differed in the number of predictors, the functional form of the predictor effects (non-linear effects and interaction) and the estimation method (maximum likelihood and penalization). Internal-external cross-validation was used to evaluate the models' generalizability across the included general practices.

RESULTS

Among 871,687 individuals from 225 general practices, 43,987 (5.5%) developed heart failure during a median follow-up time of 5.8 years. For discrimination, the simplest prediction model yielded a good concordance statistic, which was not much improved by adopting complex strategies. Between-practice heterogeneity in discrimination was similar in all models. For calibration, the simplest model performed satisfactorily. Although accounting for non-linear effects and interaction slightly improved the calibration slope, it also led to more heterogeneity in the observed/expected ratio. Similar results were found in a second case study involving patients with stroke.

CONCLUSION

In large clustered datasets, prediction model studies may adopt internal-external cross-validation to evaluate the generalizability of competing models, and to identify promising modelling strategies.

Effect of supplementation of Rhodomyrtus tomentosa fruit juice in preventing hypercholesterolemia and atherosclerosis development in rats fed with high fat high cholesterol diet

Cardiovascular diseases (CVDs) are the leading cause of death worldwide. Nutraceuticals, mainly based on natural products, have been proven to control the risk factors of CVDs effectively. Rhodomyrtus tomentosa is an underutilized fruit that is rich in phenolic compounds and has antioxidant activities. Scientific investigation was needed to verify the pharmacological properties of R. tomentosa fruit juice in Sprague-Dawley rats fed with high fat high cholesterol (HFHC) as antihypercholesterolemic and antiatherosclerotic agents. The experiments were carried out using male albino rats fed with HFHC diet for 75 days and at the same time orally supplemented with R. tomentosa fruit juice (RTFJ) in doses of 0.5, 1, and 2 g/kg body weight (BW) daily for 75 days. Simvastatin was used as a positive control. At the end of the experiment, the blood was collected, and the serum was assayed for total triglycerides (TG), total cholesterol (TC), low-density lipoprotein (LDL-C), and high-density lipoprotein (HDL-C). The histopathology of coronary and aorta arteries was observed under the light microscope. The results demonstrated that the supplementation of RTFJ significantly prevented the increase of total triglycerides, total cholesterol, low-density lipoprotein, and the decrease of high-density lipoprotein in serum. Supplementation of RTFJ also prevents atherosclerosis development by preventing the thickening of the blood vessel wall, deposition of lipid formation, and foam cells in the tunica intima of the aorta and coronary arteries. These findings suggested that supplementation of R. tomentosa fruit juice prevents hypercholesterolemia and atherosclerosis.

Dynamic recovery after acute single fine particulate matter exposure in male mice: Effect on lipid deregulation and cardiovascular alterations

Many studies have linked airborne fine particulate matter (PM2.5) exposure to cardiovascular diseases. We performed a time-series analysis to investigate whether the disruption of lipid metabolism recovered or lasted after acute PM2.5 exposure in mice. Targeted lipidomic analysis showed that four major plasma membrane phospholipids along with cholesterol esters (CE) were significantly altered on 7th post-exposure day (PED7), and the alteration reached a peak on PED14. On PED21, the phosphatidylcholine (PC) decrease was more marked than on PED14, and its resurgence was indirectly linked to triglyceride (TG) increase. Homocysteine (HCY), lactate dehydrogenase (LDH), and α-hydroxybutyrate dehydrogenase (α-HBDH) levels increased but glucose levels decreased markedly in a dose- and time-dependent manner throughout the experimental period. Network analysis showed that the lasting lipid deregulation on PED21 correlated to myocardial markers and glucose interruption, during which high-density lipoprotein cholesterol (HDL-C) decreased. The present data implied that the constructional membrane lipids were initially interrupted by PM2.5, and the subsequent rehabilitation resulted in the deregulation of storage lipids; the parallel myocardial and glucose effects may be enhanced by the lasting HDL-C lipid deregulation on PED21. These myocardial and lipidomic events were early indicators of cardiovascular risk, resulting from subsequent exposure to and accumulation of PM2.5.

Novel Urinary Glycan Biomarkers Predict Cardiovascular Events in Patients With Type 2 Diabetes: A Multicenter Prospective Study With 5-Year Follow Up (U-CARE Study 2)

Background: Although various biomarkers predict cardiovascular event (CVE) in patients with diabetes, the relationship of urinary glycan profile with CVE in patients with diabetes remains unclear.

Methods: Among 680 patients with type 2 diabetes, we examined the baseline urinary glycan signals binding to 45 lectins with different specificities. Primary outcome was defined as CVE including cardiovascular disease, stroke, and peripheral arterial disease.

Results: During approximately a 5-year follow-up period, 62 patients reached the endpoint. Cox proportional hazards analysis revealed that urinary glycan signals binding to two lectins were significantly associated with the outcome after adjustment for known indicators of CVE and for false discovery rate, as well as increased model fitness. Hazard ratios for these lectins (+1 SD for the glycan index) were UDA (recognizing glycan: mixture of Man5 to Man9): 1.78 (95% CI: 1.24–2.55, P = 0.002) and Calsepa [High-Man (Man2–6)]: 1.56 (1.19–2.04, P = 0.001). Common glycan binding to these lectins was high-mannose type of N-glycans. Moreover, adding glycan index for UDA to a model including known confounders improved the outcome prediction [Difference of Harrel's C-index: 0.028 (95% CI: 0.001–0.055, P = 0.044), net reclassification improvement at 5-year risk increased by 0.368 (0.045–0.692, P = 0.026), and the Akaike information criterion and Bayesian information criterion decreased from 725.7 to 716.5, and 761.8 to 757.2, respectively].

Conclusion: The urinary excretion of high-mannose glycan may be a valuable biomarker for improving prediction of CVE in patients with type 2 diabetes, and provides the rationale to explore the mechanism underlying abnormal N-glycosylation occurring in patients with diabetes at higher risk of CVE.

Trial Registration: This study was registered with the University Hospital Medical Information Network on June 26, 2012 (Clinical trial number: UMIN000011525, URL: https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000013482).

Association between Dyslipidemia and Mercury Exposure in Adults

Background-Dyslipidemia is one of the prominent risk factors for cardiovascular disease, which is the leading cause of death worldwide. Dyslipidemia has various causes, including metabolic capacity, genetic problems, physical inactivity, and dietary habits. This study aimed to determine the association between dyslipidemia and exposure to heavy metals in adults. Methods-Using data from the seventh Korean National Health and Nutrition Examination Survey (2016-2017), 5345 participants aged ≥20 years who were tested for heavy metal levels were analyzed in this study. Multiple logistic regression was conducted to assess the factors affecting the prevalence of dyslipidemia. Results-The risks of dyslipidemia among all and male participants with mercury (Hg) levels of ≥2.75 μg/L (corresponding to the Korean average level) were 1.273 and 1.699 times higher than in those with levels of <2.75 μg/L, respectively. The factors that significantly affected the dyslipidemia risk were age, household income, body mass index, and subjective health status in both males and females. Conclusions-In adult males, exposure to Hg at higher-than-average levels was positively associated with dyslipidemia. These results provide a basis for targeted prevention strategies for dyslipidemia using lifestyle guidelines for reducing Hg exposure and healthy behavioral interventions.