scholarly journals The role of noninvasive cardiovascular testing, applied clinical nutrition and nutritional supplements in the prevention and treatment of coronary heart disease

2018 ◽  
Vol 12 (3) ◽  
pp. 85-108 ◽  
Author(s):  
Mark Houston
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Body Composition ◽  
Heart Disease ◽  
Cardiovascular Risk ◽  
Structural Damage ◽  
Visceral Obesity ◽  
Prevention And Treatment ◽  
Cardiovascular Testing ◽  
Chd Risk Factors

Numerous clinical trials suggest that we have reached a limit in our ability to decrease the incidence of coronary heart disease (CHD) and cardiovascular disease (CVD) utilizing the traditional diagnostic evaluation, prevention and treatment strategies for the top five cardiovascular risk factors of hypertension, diabetes mellitus, dyslipidemia, obesity and smoking. About 80% of heart disease (heart attacks, angina, coronary heart disease and congestive heart failure) can be prevented by optimal nutrition, optimal exercise, optimal weight and body composition, mild alcohol intake and avoiding smoking. Statistics show that approximately 50% of patients continue to have CHD or myocardial infarction (MI) despite presently defined ‘normal’ levels of the five risk factors listed above. This is often referred to as the ‘CHD gap’. Novel and more accurate definitions and evaluations of these top five risk factors are required, such as 24 h ambulatory blood pressure (ABM) results, advanced lipid profiles, redefined fasting and 2 h dysglycemia parameters, a focus on visceral obesity and body composition and the effects of adipokines on cardiovascular risk. There are numerous traumatic insults from the environment that damage the cardiovascular system but there are only three finite vascular endothelial responses, which are inflammation, oxidative stress and immune vascular dysfunction. In addition, the concept of translational cardiovascular medicine is mandatory in order to correlate the myriad of CHD risk factors to the presence or absence of functional or structural damage to the vascular system, preclinical and clinical CHD. This can be accomplished by utilizing advanced and updated CV risk scoring systems, new and redefined CV risk factors and biomarkers, micronutrient testing, cardiovascular genetics, nutrigenomics, metabolomics, genetic expression testing and noninvasive cardiovascular testing.

Relationship Between Obstructive Sleep Apnoea, Oxygen Desaturation and Cardiovascular Risk

2019 ◽  
Vol 70 (10) ◽  
pp. 3582-3586
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Cardiovascular Risk ◽  
Obstructive Sleep Apnoea ◽  
Cardiovascular Events ◽  
Sleep Apnoea ◽  
Oxygen Desaturation ◽  
Obstructive Sleep Apnoea Syndrome ◽  
Obstructive Sleep

Obstructive sleep apnoea syndrome (OSAS) increases the risk cardiovascular events regardless of the presence of previous cardiovascular disease. As both OSAS and coronary heart disease (CHD) have same risk factors it’s often difficult to quantify the proportion of each risk factor in developing cardiac events. The aim of this study was to evaluate the 10-year risk of developing a coronary heart disease (CHD) event or stroke in newly diagnosed OSAS patients. 65 patients diagnosed with OSAS over a period of four months in Oradea Sleep Laboratory were included. Demographic characteristics, anthropometric parameters, clinical and biochemical data, sleep disorder and daytime sleepiness assessment, results of polysomnography were collected in all patients. In 55 selected patients by age range from 34 to 74 years old, cardiovascular risk was assessed using Framingham score calculator. Statistical analysis was performed using SPSS-PC version 7.5 and Stata 10.The estimated 10-years risk of a CHD event was 18.97% (± 9.67) in all cases. It was higher in men (22.17% ± 9.24) compare to women (12.39% ± 6.92) and it was not significantly different by stages of OSAS severity (20.58% ±9.41 in patients with severe OSAS versus 15.4% in mild OSAS), suggesting that apnea hypopnea index is not a major confounding factor. Desaturation of oxygen is a better outcome to define the relation between OSAS and cardiovascular diseases. OSAS and cardiovascular risk factors increased risk for future adverse cardiovascular events related to the severity of oxygen desaturation. Keywords: obstructive sleep apnoea syndrome, cardiovascular events, risk factors, oxygen desaturation

Cardiac biomarkers for cardiovascular risk prediction among women and men from the general population

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
F Zhu ◽  
B Arshi ◽  
E Aribas ◽  
MA Ikram ◽  
MK Ikram ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Cardiovascular Risk ◽  
Predictive Value ◽  
Troponin T ◽  
Cardiac Biomarkers ◽  
C Statistic ◽  
Cardiovascular Risk Prediction ◽  
Traditional Risk Factors

Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): the Erasmus Medical Center and Erasmus University Rotterdam; the Netherlands Organization for Health Research and Development (ZonMw); Purpose To evaluate the sex-specific predictive value of two cardiac biomarkers; N-terminal pro B-type natriuretic peptide (NT-proBNP) and high sensitivity cardiac troponin T (hs-cTnT), alongside traditional cardiovascular risk factors, for 10-year cardiovascular risk prediction in general population. Methods A total of 5430 participants (mean age 68.1 years; 59.9% women) free of cardiovascular disease (CVD), with blood sample measurements between 1997 and 2001 were included. We developed a ‘base’ model using cardiovascular risk factors used in the Pooled Cohort Equation (includes age, sex, systolic blood pressure, treatment of hypertension, total and high-density lipoprotein cholesterol levels, smoking, and diabetes) and then extended the ‘base’ model with NT-proBNP or hs-cTnT. These models were developed for coronary heart disease (CHD), stroke, and heart failure (HF) and also for composite CVD outcomes. To evaluate biomarkers’ added predictive value, c-statistic, and net reclassification improvement index (NRI) for events and non-events were calculated. NRI was calculated using cutoffs of 5%, 7.5% and 20% to categorize participants as low, borderline, intermediate, or high risk. Results Adding NT-proBNP to the ‘base’ model significantly improved c-statistic for all outcomes (increases ranged between 0.012-0.047), with the largest improvement in HF [0.026 (95% CI, 0.013, 0.040) for women and 0.047 (95% CI, 0.026, 0.069) for men]. Adding hs-TnT to ‘base’ model increased the c-statistic for CHD in women by 0.040 (95% CI, 0.013, 0.067) and for HF in men by 0.032 (95% CI, 0.005, 0.059). Improvments in reclassification by both biomarkers were mostly limited to modest improvemetns in reclassification of non-events [largest non-event NRI for global CVD in women (NT-proBNP: 11.8%; hs-cTnT: 10.5%) and for HF in men (NT-proBNP: 9.6%; hs-cTnT: 8.4%)]. Conclusion NT-proBNP improved model performance for prediction of all cardiovascular outcomes, in particular for HF, beyond traditional risk factors for both women and men. Hs-cTnT showed modest added predictive value beyond traditional risk factors for CHD among women and for HF among men. Imropovements in reclassification by both biomarkers were modest and not clinically relevant. Improvements of 10-year risk predictions Events Adding NT-proBNP Adding troponin T Delta c-statistic* Event NRI, % Non-event NRI, % Delta c-statistic* Event NRI, % Non-event NRI, % WomenASCVD Global CVD 0.012 (0.004, 0.020) 0.018 (0.010, 0.026) -1.7 (-5.0, 1.5)-0.8 (-3.8, 2.2) 5.4 (3.5, 7.2)11.8 (9.6, 14.1) 0.028 (0.009, 0.048)0.025 (0.009, 0.040) -0.4 (-7.1, 6.2)2.9 (-2.4, 8.3) 6.9 (3.9, 9.9)10.5 (7.3, 13.8) MenASCVD Global CVD 0.016 (0.005, 0.027)0.023 (0.012, 0.033) 0.7 (-2.3, 3.7)-0.3 (-3.0, 2.4) 5.2 (3.2, 7.2)7.2 (4.9, 9.4) 0.007 (-0.002, 0.016)0.011 (0.000, 0.021) -1.1 (-5.0, 2.7)-1.6 (-6.0, 2.8) 4.0 (1.2, 6.9)6.4 (3.1, 9.7) ASCVD comprises coronary heart disease and stroke; Global CVD comprises coronary heart disease, stroke and heart failure.

Serum calcium and phosphorus associate with the occurrence and severity of angiographically documented coronary heart disease, possibly through correlation with atherogenic (apo)lipoproteins

2006 ◽  
Vol 44 (1) ◽  
Author(s):  
Mehdi Rasouli ◽  
Asadollah Mohseni Kiasari
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Serum Calcium ◽  
Calcium And Phosphorus

AbstractThe associations of serum calcium and phosphorus concentrations as well as other cardiovascular risk factors were investigated in relation to the existence and severity of coronary heart disease (CHD) in 260 clinically stable, angiographically defined CHD patients aged 40–70years. The subjects were classified as CHD

scholarly journals The Impact of Risk Factors for Coronary Heart Disease on Related Disability in Older Irish Adults

2017 ◽  
Vol 31 (1) ◽  
pp. 165-184 ◽  
Author(s):  
Sharon M. Cruise ◽  
John Hughes ◽  
Kathleen Bennett ◽  
Anne Kouvonen ◽  
Frank Kee
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Northern Ireland ◽  
Physical Inactivity ◽  
Relative Risks ◽  
Chd Risk ◽  
Health And Social Care ◽  
Chd Risk Factors ◽  
The Impact

Objective: The aim of this study is to examine the prevalence of coronary heart disease (CHD)–related disability (hereafter also “disability”) and the impact of CHD risk factors on disability in older adults in the Republic of Ireland (ROI) and Northern Ireland (NI). Method: Population attributable fractions were calculated using risk factor relative risks and disability prevalence derived from The Irish Longitudinal Study on Ageing and the Northern Ireland Health Survey. Results: Disability was significantly lower in ROI (4.1% vs. 8.8%). Smoking and diabetes prevalence rates, and the fraction of disability that could be attributed to smoking (ROI: 6.6%; NI: 6.1%), obesity (ROI: 13.8%; NI: 11.3%), and diabetes (ROI: 6.2%; NI: 7.2%), were comparable in both countries. Physical inactivity (31.3% vs. 54.8%) and depression (10.2% vs. 17.6%) were lower in ROI. Disability attributable to depression (ROI: 16.3%; NI: 25.2%) and physical inactivity (ROI: 27.5%; NI: 39.9%) was lower in ROI. Discussion: Country-specific similarities and differences in the prevalence of disability and associated risk factors will inform public health and social care policy in both countries.

Abstract P192: Metabolomic Profiles Associated with Coronary Heart Disease in Women

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Nina P Paynter ◽  
Raji Balasubramanian ◽  
Shuba Gopal ◽  
Franco Giulianini ◽  
Leslie Tinker ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Logistic Regression ◽  
Heart Disease ◽  
Tier 2 ◽  
Validation Data ◽  
Data Set ◽  
Chd Risk ◽  
Tier 1 ◽  
Chd Risk Factors

Background: Prior studies of metabolomic profiles and coronary heart disease (CHD) have been limited by relatively small case numbers and scant data in women. Methods: The discovery set examined 371 metabolites in 400 confirmed, incident CHD cases and 400 controls (frequency matched on age, race/ethnicity, hysterectomy status and time of enrollment) in the Women’s Health Initiative Observational Study (WHI-OS). All selected metabolites were validated in a separate set of 394 cases and 397 matched controls drawn from the placebo arms of the WHI Hormone Therapy trials and the WHI-OS. Discovery used 4 methods: false-discovery rate (FDR) adjusted logistic regression for individual metabolites, permutation corrected least absolute shrinkage and selection operator (LASSO) algorithms, sparse partial least squares discriminant analysis (PLS-DA) algorithms, and random forest algorithms. Each method was performed with matching factors only and with matching plus both medication use (aspirin, statins, anti-diabetics and anti-hypertensives) and traditional CHD risk factors (smoking, systolic blood pressure, diabetes, total and HDL cholesterol). Replication in the validation set was defined as a logistic regression coefficient of p<0.05 for the metabolites selected by 3 or 4 methods (tier 1), or a FDR adjusted p<0.05 for metabolites selected by only 1 or 2 methods (tier 2). Results: Sixty-seven metabolites were selected in the discovery data set (30 tier 1 and 37 tier 2). Twenty-six successfully replicated in the validation data set (21 tier 1 and 5 tier 2), with 25 significant with adjusting for matching factors only and 11 significant after additionally adjusting for medications and CHD risk factors. Validated metabolites included amino acids, sugars, nucleosides, eicosanoids, plasmologens, polyunsaturated phospholipids and highly saturated triglycerides. These include novel metabolites as well as metabolites such as glutamate/glutamine, which have been shown in other populations. Conclusions: Multiple metabolites in important physiological pathways with robust associations for risk of CHD in women were identified and replicated. These results may offer insights into biological mechanisms of CHD as well as identify potential markers of risk.

Sign in / Sign up

Export Citation Format

Share Document