Prevalence of cardiovascular disease (CVD) risk factors

Level of medication adherence and its determinants of cardiovascular disease patients attending at specialized teaching hospitals of Amhara regional state, Ethiopia: a multicenter cross-sectional study

Background

Non-adherence to medication in patients with cardiovascular disease continues to be a main cause of suboptimal management, increased morbidity and mortality, and increased healthcare expenses. The present study assessed the level of medication adherence and its determinants of cardiovascular disease patients.

Methods

An institutional-based multicenter cross-sectional study was conducted with patients with cardiovascular disease in Northwest Ethiopian teaching hospitals. The level of medication adherence was evaluated using a standardized questionnaire of the Adherence in Chronic Disease Scale (ACDS). To find determinants of the level of medication adherence, an ordinal logistic regression model was employed. Statistics were significant when P ≤ 0.05 at a 95% confidence interval (CI).

Results

In the end, 336 participants were included in the research. According to this study, one-third of patients had low medication adherence, half had medium adherence, and one-fifth had high medication adherence. Elderly patients [adjusted odds ratio (AOR) = 2.691; 95% confidence interval (CI), 1.704-4.251; P < 0.000], marital status (AOR = 1.921; 95% CI, 1.214-3.039; P = 0.005), alcoholic patients (AOR = 2.782; 95% CI, 1.745-4.435; P < 0.000), Patients without physical activity (AOR = 1.987; 95% CI 1.251-3.156; P = 0.004), non health insurances (AOR = 1.593; 95% CI 1.003-2.529; P = 0.049), sever Charles comorbidity index (AOR = 2.486; 95% CI 1.103-5.604; P = 0.028), patients with polypharmacy (AOR = 2.998 (1.817-4.947) P < 0.000) and, manypolypharmacy (AOR = 3.031 (1.331-6.898) P = 0.008) were more likely to have low medication adherence.

Conclusion

The current study concluded that one-third of study participants had low medication adherence. Older age, marital status, drinker, physical inactivity, drug source, comorbidity, and polypharmacy all contributed to the low level of medication adherence. To improve patients with cardiovascular disease's adherence to their medications, intervention is necessary.

Nontraditional Lipid Parameters as a Predictor of Cardiovascular Disease Risk in Nepalese Women

Background

The use of nontraditional lipid parameters for assessing clinical conditions is emerging; however, no study has identified thresholds for those parameters for the identification of cardiovascular disease (CVD) risk. The present study aimed to establish the thresholds of nontraditional lipid parameters and test its ability to identify CVD risk factors.

Methodology

A cross-sectional study in women (n = 369, age: 46 ± 13 years, body mass index (BMI): 26.31 ± 2.54 kg/m2) was conducted. Blood samples were collected and high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, total cholesterol (TC), and triglycerides (TGs) were estimated. Subsequently, nontraditional lipid parameters were calculated, namely non-HDL-C, Castelli's Risk Index II (CRI-II), CRI-I, lipoprotein combined index (LCI), atherogenic index (AI), and AI of plasma (AIP).

Results

Based on TC (≥200 mg/dL), the derived thresholds for non-HDL-C, CRI-II, CRI-I, LCI, AI, and AIP were 139 mg/dL, 2.29, 3.689, 58,066, 2.687, and 0.487, respectively. Similarly, based on the threshold of TG (≥150 mg/dL), the derived thresholds for non-HDL-C, CRI-II, CRI-I, LCI, AI, and AIP were 127 mg/dL, 2.3, 3.959, 58,251, 2.959, and 0.467, respectively. Out of considered five risk factors, non-HDL-C, CRI-II, CRI-I, LCI, and AI thresholds were capable in identifying four risk factors (physical activity, blood pressure, BMI, and age) and AIP was able to associate with two risk factors at most (blood pressure and BMI).

Conclusion

The derived thresholds of nontraditional lipid parameters were capable of differentiating between CVD risk and nonrisk groups suggesting the possible use of these thresholds for studying CVD risk.

Biomarkers and optical based biosensors in cardiac disease detection: early and accurate diagnosis

Rapid and precise detection methods for the early-stage detection of cardiovascular irregularities are crucial to stopping and reducing their development. Cardiovascular diseases (CVDs) are the leading cause of death in the world. Hence, cardiac-related biomarkers are essential for monitoring and managing of process. The necessity for biomarker detection has significantly widened the field of biosensor development. Bio-sensing methods offer rapid detection, low cost, sensitivity, portability, and selectivity in the development of devices for biomarker detection. For the prediction of cardiovascular diseases, some biomarkers can be used, like C-reactive protein (CRP), troponin I or T, creatine kinase (CK-MB), B-type natriuretic peptide (BNP), myoglobin (Mb), suppression of tumorigenicity 2 protein (ST2) and galectin-3 (Gal3). In this review, recent research studies were covered for gaining insight into utilizing optical-based biosensors, including surface plasmon resonance (SPR), photonic crystals (PCs), fluorescence-based techniques, fiber optics, and also Raman spectroscopy biosensors for the ultrasensitive detection of cardiac biomarkers. The main goal of this review is to focus on the improvement of optical biosensors in the future for the diagnosis of heart diseases and to discuss how to enhance their properties for use in medicine. Some main data from each study reviewed are emphasized, including the CVD biomarkers and the response range of the optical-based devices and biosensors.

Assessment of Low-Level Air Pollution and Cardiovascular Incidence in Gdansk, Poland: Time-Series Cross-Sectional Analysis

(1) Background: More than 1.8 million people in the European Union die every year as a result of CVD, accounting for 36% of all deaths with a large proportion being premature (before the age of 65). There are more than 300 different risk factors of CVD, known and air pollution is one of them. The aim of this study was to investigate whether daily cardiovascular mortality was associated with air pollutants and meteorological conditions in an urban environment with a low level of air pollution. (2) Methods: Data on daily incidence of strokes and myocardial infarctions in the city of Gdansk were obtained from the National Health Fund (NHF) and covered the period from 1 January 2014 to 31 December 2018. Data on the level of pollution, i.e., SO2, NO, NO2, NOx, CO, PM10, PM2.5, CO2, O3 and meteorological conditions came from the foundation: Agency of Regional Air Quality Monitoring in the Gdańsk metropolitan area (ARMAG). Using these data, we calculated mean values with standard deviation (SD) and derived the minimum and maximum values and interquartile range (IQR). Time series regression with Poisson distribution was used in statistical analysis. (4) Results: Stroke incidence is significantly affected by an increase in concentrations of NO, NO2 and NOx with RRs equal to 1.019 (95%CI: 1.001–1.036), 1.036 (95%CI: 1.008–1.064) and 1.017 (95%CI: 1.000–1.034) for every increase in IQR by 14.12, 14.62 and 22.62 μg/m3, respectively. Similarly, myocardial infarction incidence is significantly affected by an increase in concentrations of NO, NO2 and NOx with RRs equal to 1.030 (95%CI: 1.011–1.048), 1.053 (95%CI: 1.024–1.082) and 1.027 (95%CI: 1.010–1.045) for every increase in IQR by 14.12, 14.62 and 22.62 μg/m3, respectively. Both PM10 and PM2.5 were positively associated with myocardial infarction incidence. (5) Conclusions: In this time-series cross-sectional study, we found strong evidence that support the hypothesis that transient elevations in ambient PM2.5, PM10, NO2, SO2 and CO are associated with higher relative risk of ischemic stroke and myocardial infarction incidents.

Chia seeds (Salvia hispanica L.): A therapeutic weapon in metabolic disorders

The growth of functional components containing agricultural foods is enhancing because these components aid the human body against different chronic diseases. Currently, chia seeds basically belong to the mint family and are edible seeds of Salvia hispanica. These seeds are composed of different functional components including fiber, polyphenols, antioxidants, omega-3 fatty acid vitamins, minerals, and peptides. Besides, these seeds are also a good source of vegetable protein, unsaturated fat, carbohydrates, and ash. Chia seed components are helpful in cardiovascular disease (CVD) by reducing blood pressure, platelet aggregation, cholesterol, and oxidation. In GI-tract-related diseases like diabetes and constipation, chia fiber reduces the blood glucose level and provides bulk to stool. However, antioxidants and polyphenols are protected beta cells of the pancreas from inflammation. These components are protected from the cell damage of the different body parts, which can provide help in different types of cancer including breast, colorectal, liver, and pancreatic. Conclusively, some pervious studies approved that chia seed components are played important role in chronic diseases.

Social, Economic, Technological, and Environmental Factors Affecting Cardiovascular Diseases: A Systematic Review and Thematic Analysis

Background

Today, cardiovascular disease (CVD) is the leading cause of mortality in both sexes. There are several risk factors for heart diseases; some controllable, others not. However, socioeconomic, technological, and environmental factors can impact CVD as well as exclusive risk factors. Accurate identification and assessment of these factors are often difficult. In the present systematic review, we aimed to explore factors affecting CVD.

Methods

Multiple databases (MEDLINE, Scopus, ISI Web of Science, and Cochrane) and gray literature were searched. The included studies described at least one determinant of CVD. The framework method was applied to analyze the qualitative data.

Results

A total of 64 studies from 26 countries were included. The contextual determinants of CVD were categorized into 45 determinants, 15 factors, and 4 main social, economic, technological, and environmental categories. The 15 potentially reversible factors were identified as sociodemographic, violence, smoking, occupation, positive childhood experience, social inequalities, psychological distress, eating habits, neighborhood, family income, rapid technology, environmental pollution, living environments, noise, and disaster.

Conclusions

Devolution and more efficient health policies are required to achieve further sustained reduction in CVD mortality, increase life expectancy, and reduce its associated risk factors. Policymakers should fully address the value of social, economic, technological, and environmental factors. In fact, a prevention agenda should be developed and updated collaboratively in terms of the determinant factors.

Microfluidic integrated capacitive biosensor for C-reactive protein label-free and real-time detection

A microfluidic chip has been integrated with a capacitive biosensor based on mass-producible three-dimensional (3D) interdigital electrode arrays. To achieve the monitoring of biosensor preparation and cardiac- and periodontitis-related biomarkers, all the processes were detected in a continuously on-site way. Fabrication steps for the microfluidic chip-bonded 3D interdigital capacitor biosensor include gold thiol modification, the activation of EDC/sulfo-NHS, and the bioconjugation of antibodies. Fluorescent characterization and X-ray photoelectron spectroscopy analysis were applied to assess the successful immobilization of the C-reactive protein (CRP) antibody. The experimental results indicate the good specificity and high sensitivity of the microfluidic integrated 3D capacitive biosensor. The limit of detection of the 3D capacitive biosensor for CRP label-free detection was about 1 pg mL^-1. This 3D capacitive biosensor with integrated microfluidics is mass-producible and has achieved the on-site continuous detection of cardiac- and periodontitis-related biomarkers with high performance.

The mechanical and biochemical properties of tail tendon in a rat model of obesity: Effect of moderate exercise and prebiotic fibre supplementation

The worldwide trajectory of increasing obesity rates is a major health problem precipitating a rise in the prevalence of a variety of co-morbidities and chronic diseases. Tendinopathy, in weight and non-weight bearing tendons, in individuals with overweight or obesity has been linked to metabolic dysfunction resulting from obesity. Exercise and dietary fibre supplementation (DFS) are common countermeasures to combat obesity and therefore it seems reasonable to assume that they might protect tendons from structural and mechanical damage in a diet-induced obesity (DIO) model. The purpose of this study was to determine the effects of a DIO, DIO combined with moderate exercise, DIO combined with DFS (prebiotic oligofructose), and DIO combined with moderate exercise and DFS on the mechanical and biochemical properties of the rat tail tendon. Twenty-four male Sprague-Dawley rats, fed a high-fat/high-sucrose diet were randomized into a sedentary, a moderate exercise, a DFS, or a moderate exercise combined with DFS group for 12 weeks. Additionally, six lean age-matched animals were included as a sedentary control group. DIO in combination with exercise alone and with exercise and DFS reduced the Young's Modulus but not the collagen content of the rat tail tendons compared to lean control animals. However, no differences in the mechanical and biochemical properties of the rat tail tendon were detected between the DIO and the lean control group, suggesting that DIO by itself did not impact the tail tendon. It seems that longer DIO exposure periods may be needed to develop overt differences in our DIO model.

A comparative study on cardiovascular disease risk factors in Korean adults according to clinical depression status

This study was conducted to compare the association between depression and cardiovascular disease risk factors among Korean adults. This study was based on the data from the Korea National Health and Nutrition Examination Survey conducted in 2012-2014. Using a multivariable logistic regression model, we calculated odds ratios (ORs) and 95% confidence intervals (CIs). A total of 10,359 subjects aged 19-64 years were selected, and 432 subjects (74 men, 358 women) were included in the physician-diagnosed depression group. Several cardiovascular risk factors were associated with higher odds of clinical depression. For men, high waist circumference (≥91.3 cm) and body mass index (≥25.0 kg/m²) were significantly associated with increased odds of depression, and high physical activity (≥50 MET h/week) was associated with decreased odds of depression. Men with dyslipidemia and metabolic syndrome had 2.43-fold and 2.0-fold higher odds of depression than those without the diseases. For women, current smokers had 2.25-fold higher odds of depression than nonsmokers, and frequent alcohol drinkers (≥4 times/week) also had 2.88-fold higher odds of depression than nondrinkers. Korean adults with clinical depression had a higher prevalence of some risk factors for cardiovascular diseases than those without depression.