Cardiovascular Disease Risk Score Research Articles

Association between gait video information and general cardiovascular diseases: a prospective cross-sectional study

Abstract Aims Cardiovascular disease (CVD) may not be detected in time with conventional clinical approaches. Abnormal gait patterns have been associated with pathological conditions and can be monitored continuously by gait video. We aim to test the association between non-contact, video-based gait information and general CVD status. Methods and results Individuals undergoing confirmatory CVD evaluation were included in a prospective, cross-sectional study. Gait videos were recorded with a Kinect camera. Gait features were extracted from gait videos to correlate with the composite and individual components of CVD, including coronary artery disease, peripheral artery disease, heart failure, and cerebrovascular events. The incremental value of incorporating gait information with traditional CVD clinical variables was also evaluated. Three hundred fifty-two participants were included in the final analysis [mean (standard deviation) age, 59.4 (9.8) years; 25.3% were female]. Compared with the baseline clinical variable model [area under the receiver operating curve (AUC) 0.717, (0.690–0.743)], the gait feature model demonstrated statistically better performance [AUC 0.753, (0.726–0.780)] in predicting the composite CVD, with further incremental value when incorporated with the clinical variables [AUC 0.764, (0.741–0.786)]. Notably, gait features exhibited varied association with different CVD component conditions, especially for peripheral artery disease [AUC 0.752, (0.728–0.775)] and heart failure [0.733, (0.707–0.758)]. Additional analyses also revealed association of gait information with CVD risk factors and the established CVD risk score. Conclusion We demonstrated the association and predictive value of non-contact, video-based gait information for general CVD status. Further studies for gait video-based daily living CVD monitoring are promising.

Cardiovascular Risk Estimation Is Suboptimal in People With HIV.

Established cardiovascular disease (CVD) risk prediction functions may not accurately predict CVD risk in people with HIV. We assessed the performance of 3 CVD risk prediction functions in 2 HIV cohorts. CVD risk scores were calculated in the Mass General Brigham and Kaiser Permanente Northern California HIV cohorts, using the American College of Cardiology/American Heart Association atherosclerotic CVD function, the FHS (Framingham Heart Study) hard coronary heart disease function and the Framingham Heart Study hard CVD function. Outcomes were myocardial infarction or coronary death for FHS hard coronary heart disease function; and myocardial infarction, stroke, or coronary death for American College of Cardiology/American Heart Association and FHS hard CVD function. We calculated regression coefficients and assessed discrimination and calibration by sex; predicted to observed risk of outcome was also compared. In the combined cohort of 9412, 158 (1.7%) had a coronary heart disease event, and 309 (3.3%) had a CVD event. Among women, CVD risk was generally underestimated by all 3 risk functions. Among men, CVD risk was underestimated by the American College of Cardiology/American Heart Association and FHS hard CVD function, but overestimated by the FHS hard coronary heart disease function. Calibration was poor for women using the FHS hard CVD function and for men using all functions. Discrimination in all functions was good for women (c-statistics ranging from 0.78 to 0.90) and moderate for men (c-statistics ranging from 0.71 to 0.72). Established CVD risk prediction functions generally underestimate risk in people with HIV. Differences in model performance by sex underscore the need for both HIV-specific and sex-specific functions. Development of CVD risk prediction models tailored to HIV will enhance care for aging people with HIV.

Women with a history of gestational diabetes mellitus present an accumulation of cardiovascular risk factors at age 46-A birth cohort study.

The incidence of gestational diabetes mellitus (GDM) is globally increasing, and it has been associated with later type 2 diabetes, metabolic syndrome (MetS), and cardiovascular disease (CVD). However, long-term population-based studies investigating common CVD risk factors years after pregnancy are lacking. To evaluate the future mortality and morbidity in cardiovascular and metabolic diseases, we conducted a thorough investigation of midlife risk factors in women with and without previous GDM. A prospective population-based cohort study was conducted of 3173 parous women from the Northern Finland Birth Cohort, 1966. Subjects were obtained from the national register or patient records. Those with a GDM diagnosis formed the GDM cohort (n = 271), and those without a previous GDM diagnosis formed the control cohort (n = 2902). Clinical examinations were performed on participants at the age of 46 and included anthropometric measurements, oral glucose tolerance test (OGTT), biochemical measurements, and cardiovascular assessment. At the age of 46, women in the GDM cohort had a higher body mass index (BMI, 29.0 kg/m2 vs 26.3 kg/m2, p < 0.001) and greater waist circumference (94.1 cm vs 86.5 cm, p < 0.001) than the control cohort. In the GDM cohort, a higher incidence of impaired glucose tolerance (12.6% vs 7.3%, p = 0.002), more previously diagnosed and OGTT-detected type 2 diabetes (23.3% vs 3.9%, p < 0.001), lower high-density lipoprotein (1.53 mmol/L vs 1.67 mmol/L, p = 0.011), higher triglycerides (1.26 mmol/L vs 1.05 mmol/L, p = 0.002) and a higher fatty liver index (6.82 vs 2.47, p < 0.001), were observed even after adjusting for BMI, polycystic ovary syndrome, parity, level of education, physical activity, smoking, and alcohol consumption. The women in the GDM cohort also had more MetS (42.6% vs 21.9%, p < 0.001) and higher risk scores for CVD and fatal events (Framingham 4.95 vs 3.60, p < 0.001; FINRISK 1.71 vs 1.08, p < 0.001). Women with a previous diagnosis of GDM exhibit more risk factors for CVD in midlife and are at a higher risk for cardiovascular events later in life.

Preliminary Study on Pulse Wave Changes in Patients with Inflammatory Arthropathies Treated with bDMARDs.

Background: Patients with inflammatory arthropathies exhibit an increased cardiovascular disease (CVD) risk as compared to the general population, which is not fully quantified by the conventional CVD risk scores. Biotechnological disease-modifying drugs (bDMARDs) have proved beneficial to reduce the overall CVD risk in these patients, although CVD remains a major cause of increased mortality. Since it has been shown that pulse wave parameters and in particular carotid-femoral pulse wave velocity (cfPWV) are predictors of CVD risk, the aim of this study was to evaluate their changes in patients with inflammatory arthropathies before and after bDMARD therapy. Methods: Pulse wave parameters were evaluated with applanation tonometry in patients with ankylosing spondylitis (AS), psoriatic arthritis (PsA), and rheumatoid arthritis (RA), before and after two years of bDMARD therapy. Results: At baseline, cfPWV was significantly associated with age (p < 0.001) and, among pulse wave parameters, the subendocardial viability ratio was negatively associated with C-reactive protein (CRP) (p = 0.04) and the HAQ-disability index (p = 0.03). At baseline, PsA patients showed a higher percentage of male subjects, higher CRP, and the highest cfPWV values (p = 0.048). After two years, pulse wave parameters improved in the AS and RA groups, but not in the PsA group. Conclusions: Our data confirm that pulse wave parameters are potentially reversible after bDMARD therapy, as they improved in AS and RA patients. In PsA patients, there were no changes, which may be due to the higher percentage of male subjects and higher baseline cfPWV values.

Community Health workers United to Reduce Colorectal cancer and cardiovascular disease among people at Higher risk (CHURCH): study protocol for a randomized controlled trial

BackgroundColorectal cancer (CRC) is the second most lethal cancer in the United States (U.S.) with the highest incidence and mortality rates among African Americans (AAs) compared to other racial groups. Despite these disparities, AAs are the least likely to undergo CRC screening, have precancerous colorectal polyps removed, and have CRC detected at stages early enough for curative excision. In addition, compelling evidence links inflammatory dietary patterns to increased CRC and cardiovascular disease risk. Studies show that AA churches can successfully engage in health promotion activities including those related to cancer control. The current study seeks to leverage church-placed Community Health Workers (CHWs) to increase CRC screening and reduce CRC risk.Design and methodsWe aim to (1) increase guideline concordant CRC screening uptake using church-placed CHWs trained in screening with a validated instrument, Brief Intervention using Motivational Interviewing, and Referral to Treatment (SBIRT); and (2) reduce dietary risk factors (inflammatory dietary patterns) linked to CRC. The latter will be addressed by culturally adapting an existing, web-based lifestyle program called Alive!. Using a Hybrid Type 1 Implementation-Effectiveness cluster randomized design, we will randomize 22 AA churches into either the dual intervention arm (CHW-led SBIRT intervention plus Alive!) or a usual care arm comprised of CRC prevention educational pamphlets and a list of CRC screening sites. We will recruit 440 subjects and evaluate the effects of both arms on screening uptake (colonoscopy, fecal DNA) (primary outcome) and dietary inflammation score (secondary outcome) at 6-month follow-up, and Life Simple7 (LS7)—a cardiovascular disease (CVD) risk score—at 6 months and 1 year (secondary outcome). Finally, guided by a racism-conscious adaptation of the Consolidated Framework for Implementation Research (CFIR), we will conduct a mixed-methods process evaluation with key stakeholders to understand multi-level influences on CRC screening and CVD risk behaviors.DiscussionChurch-placed CHWs are trusted influential connectors between communities and health systems. Studies have shown that these CHWs can successfully implement health prevention protocols in churches, including those related to cancer control, making them potentially important community mediators of CRC screening uptake and CRC/CVD risk reduction.Trial registrationNCT05174286; clinicaltrials.gov; August 31st, 2023

New risk score for cardiovascular disease with improved performance.

New risk score for cardiovascular disease with improved performance.

Assessing, communicating and managing cardiovascular disease risk: a practical summary of the 2023 guideline.

The outdated cardiovascular disease risk calculator has been reported to overestimate cardiovascular disease risk for a contemporary Australian population, and does not include relevant variables, such as socioeconomic disadvantage, which has been shown to increase the incidence of both heart attack and stroke. The 2023 Australian Guideline for Assessing and Managing Cardiovascular Disease Risk marks a major milestone as the first update to Australia's cardiovascular disease prevention guideline in over a decade. The new guideline may help to refine and recategorise risk estimates, hence improving the discriminatory and predictive value of the new calculator. The new Australian Cardiovascular Disease Risk Calculator expresses risk scores as a percentage estimate of a person's probability of dying or being hospitalised due to cardiovascular disease within the next 5 years. The new calculator expresses risk scores as low (less than 5%), intermediate (5% to less than 10%), or high (10% or higher) risk over 5 years. Reclassification factors built into the new calculator are designed to help clinicians individualise risk estimates. These factors include ethnicity (e.g. First Nations status), family history of premature cardiovascular disease, severe mental illness, kidney disease and coronary artery calcium score. The new calculator also uses optional diabetes-specific variables (supporting a more granular cardiovascular disease risk assessment of people with type 2 diabetes). People who meet the clinically determined high-risk criteria (chronic kidney disease, familial hypercholesterolaemia) should not progress through the Australian Cardiovascular Disease risk calculator, but move straight to management. For a person with a cardiovascular disease risk score recorded from the outdated calculator, clinicians may want to reassess their risk using the new calculator the next time the person attends.

Trajectories of atherosclerotic cardiovascular disease risk scores as a predictor for incident chronic kidney disease

BackgroundThe relationship between atherosclerosis and renal function is well established. Atherosclerotic cardiovascular disease (ASCVD) risk scores reflect atherosclerotic burden, which changes over time. We investigated the association between ASCVD risk trajectories and incident chronic kidney disease (CKD) using data from a large community-based Korean cohort with up to 16 years of follow-up.MethodsWe analyzed data from 5032 participants without CKD from the baseline survey of the Korean Genome and Epidemiology Study Ansan-Ansung cohort. Participants were categorized into stable or increasing ASCVD risk groups based on the revised ASCVD risk pooled cohort equation over a median period of exposure of 5.8 years. Incident CKD was defined as two consecutive events of an estimated glomerular filtration rate < 60 mL/min/1.73 m2.ResultsDuring a median 9.9 years of event accrual period, 449 (8.92%) new-onset CKD cases were identified. Multiple Cox proportional regression analyses showed that the hazard ratio (95% confidence interval) for incident CKD in the increasing group, compared to the stable group, was 2.13 (1.74–2.62) in the unadjusted model and 1.35 (1.02–1.78) in the fully-adjusted model. Significant relationships were maintained in subgroups of individuals in their 50s, without diabetes mellitus or hypertension. The prevalence of proteinuria was consistently higher in the increasing group than that in the stable group.ConclusionsAn increasing trend in ASCVD risk scores independently predicted adverse renal outcomes in patients without diabetes mellitus or hypertension. Continuous monitoring of ASCVD risk is not only important for predicting cardiovascular disease but also for predicting CKD.

Cost-Effectiveness of a Multicomponent Primary Care Intervention for Hypertension.

The SingHypertension primary care clinic intervention, which consisted of clinician training in hypertension management, subsidized single-pill combination medications, nurse-delivered motivational conversations and telephone follow-ups, improved blood pressure control and cardiovascular disease (CVD) risk scores relative to usual care among patients with uncontrolled hypertension in Singapore. This study quantified the incremental cost-effectiveness, in terms of incremental cost per unit reduction disability-adjusted life years, of SingHypertension relative to usual care for patients with hypertension from the health system perspective. We developed a Markov model to simulate CVD events and associated outcomes for a hypothetical cohort of patients over a 10-year period. Costs were measured in US dollars, and effectiveness was measured in disability-adjusted life years averted. We present base-case results and conducted deterministic and probabilistic sensitivity analyses. Based on a willingness-to-pay threshold of US $55 500 per DALY averted, SingHypertension was cost-effective for patients with hypertension (incremental cost-effectiveness ratio: US $24 765 per disability-adjusted life year averted) relative to usual care. This result held even if risk reduction was assumed to decline linearly to 0 over 10 years but not sooner than 7 years. Incremental cost-effectiveness ratios were most sensitive to the magnitude of the reduction in CVD risk; at least a 0.13% to 0.16% point reduction in 10-year CVD risk is required for cost-effectiveness. Probabilistic sensitivity analysis indicates that SingHypertension has a 78% chance of being cost-effective at the willingness-to-pay threshold. SingHypertension represents good value for the money for reducing CVD incidence, morbidity, and mortality and should be considered for wide-scale implementation in Singapore and possibly other countries. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02972619.

Correlation among job-induced stress, overall well-being, and cardiovascular risk in Italian workers of logistics and distribution.

Work-related stress is an occupational risk that has been linked to the development of cardiovascular disease (CVD). While previous studies have explored this association in various work contexts, none have focused specifically on logistics and distribution personnel. These workers may be exposed to significant job stress, which potentially increases the risk of CVD. In this study, we aimed to examine the relationship between work-related stress and cardiovascular risk in a sample of 413 healthy workers of a logistics and distribution company. To assess work-related stress and cardiovascular risk, we used the organisational well-being questionnaire proposed by the Italian National Anti-Corruption Authority, the Framingham Heart Study General Cardiovascular Disease (CVD) Risk Prediction Score and the WHO General Wellbeing Index (WHO-5). Our results revealed that individuals with low job support had a significantly higher CVD risk score and lower well-being index than those reporting high job support. Furthermore, workers with high-stress tasks showed higher well-being index scores than those with passive tasks. Approximately 58% of the subjects were classified as low CVD risk (CVD risk <10%), approximately 31% were classified as moderate risk (CVD risk between 10 and 20%) and 11% were considered high risk (CVD risk >20%). The overall median CVD risk for the population was moderate (6.9%), with individual scores ranging from 1 to 58%. Further analyses confirmed the protective effect of work support, also identifying physical inactivity, regular alcohol consumption and low educational level as factors contributing to an increased risk of CVD. Interestingly, factors such as job control and work support demonstrated a positive impact on psychological well-being. These results emphasise the importance of intervention strategies aimed at promoting health in the workplace. By addressing these combined factors, organisations can effectively reduce the risk of CVD and improve the general well-being of their workforce.

Comparison of American College of Cardiology/American Heart Association Cardiovascular Risk Score, Framingham Risk Scores, European Society of Cardiology Cardiovascular Disease Risk Calculator, QRISK3-2018 Risk Calculator in Patients Presenting with First Time with Myocardial Infarction: A Step toward the Development of Indian Cardiac Risk Score

Introduction: One of the primary reasons for fatalities and impairments on a global scale is cardiovascular disease (CVD), encompassing a cluster of illnesses impacting the heart and blood vessels. A CVD risk assessment is a screening tool that measures an individual’s risk of developing CVD. Objective: The objective of this study was to compare and evaluate cardiovascular risk using internationally recognized CVD risk scoring systems. Methodology: A prospective, cross-sectional study was carried out for 2 months after the approval of the ethics committee. Naive myocardial infarction (MI) patients presenting to the cardiology department and conforming to the inclusion criteria were enrolled in the study. Patients who are taking statins or any lipid-lowering drugs, as well as patients who are on low-dose aspirin and antidiabetic medications. Using the aforementioned gathered data, the cardiovascular risk scores were computed employing the American College of Cardiology/American Heart Association (ACC/AHA), Framingham risk scores (FRS), European Society of Cardiology (ESC) – CVD risk calculator, and QRISK→3-2018, and subsequently categorized as low risk, intermediate, or high risk based on the individual risk scores. Results: We enrolled 42 patients, with a mean age of 60 years with male dominance. The mean body mass index was 25.5. With a cholesterol/high-density lipoprotein (HDL) ratio of 4.9, the mean systolic blood pressure/diastolic blood pressure was 126/77 mm of Hg. The mean ACC/AHA cardiovascular risk score for 10-year atherosclerotic cardiovascular disease (ASCVD) risk was 11.34%, FRS mean score was 12%, ESC CVD risk calculator mean score was 15.45%, and QRISK3-2018 risk calculator mean score was 20.87% in patients presenting with first time with MI. Conclusion: QRISK3-2018 risk calculator is the most effective out of all the risk calculators with a maximum detection rate of MI in first time presented patients with Naïve MI patients.

Cardiovascular Disease Risk in Individuals Following Plant-Based Dietary Patterns Compared to Regular Meat-Eaters.

Plant-based diets (PBDs) have been associated with a lower risk of cardiovascular disease (CVD). The aim was to investigate the predicted 5-year and 10-year risk of developing CVD in individuals following PBDs compared to regular meat-eating diets. This cross-sectional study included n = 240 middle-aged adults habitually consuming dietary patterns for ≥6 months: vegan, lacto-ovo vegetarian (LOV), pesco-vegetarian (PV), semi-vegetarian (SV) or regular meat-eater (RME) (n = 48 per group). Predicted 5-year and 10-year CVD risks were quantified using the Framingham Risk Equation and the Australian Absolute CVD risk calculator, respectively. Multivariable regression analysis was used to adjust for age, sex, smoking status, physical activity, alcohol use and BMI. Over three-quarters of the participants were women, mean age of 53.8 yrs. After adjustments for potential confounders, there was no difference in the predicted risk of CVD between regular-meat diets and PBDs, although crude analyses revealed that vegans had a lower 5-year and 10-year predicted risk of CVD compared to RMEs. SVs, PVs and LOVs had lower CVD risk scores, however, not significantly. Vegans had a favourable cardiometabolic risk profile including significantly lower serum lipid levels, fasting blood glucose and dietary fats and higher dietary fibre intake compared to RMEs. This was the first study to purposefully sample Australians habitually following PBDs. We found that PBDs do not independently influence the predicted risk of CVD, although PBDs tended to have lower risk and vegans had significantly lower cardiometabolic risk factors for CVD.

The 10-year cardiovascular risk of physicians estimated by the Thai CV risk score and its association with current coronary artery disease: A retrospective study.

To assess the 10-year cardiovascular disease (CVD) risk among Thai physicians. The risk compared to the general population and their relationship with the current coronary artery disease (CAD) were also examined. This retrospective study collected data of Thai physicians who underwent cardiovascular assessments between February 14, 2022, and October 31, 2022. The CVD risk was calculated using the Thai CVD risk (TCVR) score, which incorporated variables of age, gender, smoking, diabetes mellitus, blood pressure, and total cholesterol. Additional collected data included family history of CAD, weekly work hours, fiber diet, exercise, body mass index, coronary artery calcium (CAC) score, and presence of CAD. The association between the risk levels with presence of CAD and clinical features including CAC score were analyzed. Of 1225 physicians, the risk for CVD development was categorized as low in 80.0%, moderate in 11.2%, high in 4.9%, and very high in 3.9%. Among these, 33.6% were found to have higher relative risk compared to the general population of the same age and gender. The overall prevalence of CAD was 11.2%. This prevalence was escalated by risk or relative risk groups: 4.9% in low-, 33.8% in moderate-, 35.1% in high-, and 46.8% in very high-risk groups or 7.2% in lower risk, 8.0% the same risk, and 18.4% higher relative risk groups. Approximately, 20% of Thai physicians in the study exhibited a moderate to very high 10-year risk of CVD. Furthermore, 33.6% of the physicians had higher risk than individuals of the same age and gender in the general population. The prevalence of CAD increased with higher CVD risk and higher relative risk.

Use of Sequential Hot-Deck Imputation for Missing Health Care Systems Data for Population Health Research.

Electronic medical record (EMR) data present many opportunities for population health research. The use of EMR data for population risk models can be impeded by the high proportion of missingness in key patient variables. Common approaches like complete case analysis and multiple imputation may not be appropriate for some population health initiatives that require a single, complete analytic data set. In this study, we demonstrate a sequential hot-deck imputation (HDI) procedure to address missingness in a set of cardiometabolic measures in an EMR data set. We assessed the performance of sequential HDI within the individual variables and a commonly used composite risk score. A data set of cardiometabolic measures based on EMR data from 2 large urban hospitals was used to create a benchmark data set with simulated missingness. Sequential HDI was applied, and the resulting data were used to calculate atherosclerotic cardiovascular disease risk scores. The performance of the imputation approach was assessed using a set of metrics to evaluate the distribution and validity of the imputed data. Of the 567,841 patients, 65% had at least 1 missing cardiometabolic measure. Sequential HDI resulted in the distribution of variables and risk scores that reflected those in the simulated data while retaining correlation. When stratified by age and sex, risk scores were plausible and captured patterns expected in the general population. The use of sequential HDI was shown to be a suitable approach to multivariate missingness in EMR data. Sequential HDI could benefit population health research by providing a straightforward, computationally nonintensive approach to missing EMR data that results in a single analytic data set.

Five percent weight loss is a significant 1-year predictor and an optimal 5-year cut-off for reducing the number of obesity-related cardiovascular disease risk components: the Japan Obesity and Metabolic Syndrome Study.

This study aimed to identify the amount of weight loss needed in patients with obesity to improve metabolic syndrome (MetS), a risk factor for cardiovascular disease (CVD), over a long period of time. A total of 576 patients with obesity were enrolled in this study. Effects of continuous physician-supervised weight loss on the cumulative MetS components excluding abdominal circumference (defined as obesity-related CVD risk score) were investigated during a 5-year follow-up period. The extent of weight loss required to reduce the obesity-related CVD risk components was assessed using receiver operating characteristic (ROC) curve analyses. Of the 576 participants, 266 completed 5-year follow-up, with 39.1% and 24.1% of them achieving ≥5.0% and ≥7.5% weight loss at the 5-year follow-up, respectively. The area under the ROC curve for reducing the obesity-related CVD risk components was 0.719 [0.662-0.777] at 1 year and 0.694 [0.613-0.775] at 5 years. The optimal cut-off value for weight loss was 5.0% (0.66 sensitivity and 0.69 specificity) and the value with 0.80 specificity was 7.5% (0.45 sensitivity) at 5 years. Greater reductions in weight were associated with greater improvements in the obesity-related CVD risk score at all follow-up periods (P-trend <0.001). Obesity-related CVD risk score was significantly improved by 5.0-7.5% and ≥7.5% weight loss at 1 year (P = 0.029 and P < 0.001, respectively) and ≥7.5% weight loss at 5 years (P = 0.034). A weight loss of ≥5.0% at 1 year and ≥7.5% at 5 years could reduce the number of obesity-related CVD risk components in patients with obesity.

Subclinical vascular composites predict clinical cardiovascular disease, stroke, and dementia: The Multi-Ethnic Study of Atherosclerosis (MESA)

Background and aimsSubclinical cardiovascular disease (CVD) measures may reflect biological pathways that contribute to increased risk for coronary heart disease (CHD) events, stroke, and dementia beyond conventional risk scores. MethodsThe Multi-Ethnic Study of Atherosclerosis (MESA) followed 6814 participants (45–84 years of age) from baseline in 2000–2002 to 2018 over 6 clinical examinations and annual follow-up interviews. MESA baseline subclinical CVD procedures included: seated and supineblood pressure, coronary calcium scan, radial artery tonometry, and carotid ultrasound. Baseline subclinical CVD measures were transformed into z-scores before factor analysis to derive composite factor scores. Time to clinical event for all-cause CVD, CHD, stroke and ICD code-based dementia events were modeled using Cox proportional hazards models reported as area under the curve (AUC) with 95% Confidence Intervals (95%CI) at 10 and 15 years of follow-up. All models included all factor scores together, and adjustment for conventional risk scores for global CVD, stroke, and dementia. ResultsAfter factor selection, 24 subclinical measures aggregated into four distinct factors representing: blood pressure, atherosclerosis, arteriosclerosis, and cardiac factors. Each factor significantly predicted time to CVD events and dementia at 10 and 15 years independent of each other and conventional risk scores. Subclinical vascular composites of atherosclerosis and arteriosclerosis best predicted time to clinical events of CVD, CHD, stroke, and dementia. These results were consistent across sex and racial and ethnic groups. ConclusionsSubclinical vascular composites of atherosclerosis and arteriosclerosis may be useful biomarkers to inform the vascular pathways contributing to events of CVD, CHD, stroke, and dementia.

The bidirectional longitudinal association between academic performance and cardiovascular disease risk factors in adolescents.

The limited prior research examining the association between academic performance and cardiovascular disease (CVD) risk factors in youth did not explore the reciprocal association between these constructs, and analyzed CVD risk factors individually. Thus, the aim of the present study was to explore the bidirectional longitudinal association between clustered CVD risk score and academic performance in adolescents over a 24-month interval. A total of 237 adolescents (45.6% girls), aged 13.9 ± 0.3 years old at baseline, from DADOS (Deporte, ADOlescencia y Salud) study were included in this study. A clustered CVD risk score was created by calculating the mean age- and gender-standardized z-scores of waist circumference, systolic blood pressure, total cholesterol to high-density lipoprotein cholesterol ratio, triglycerides, homeostatic model assessment of insulin resistance, and cardiorespiratory fitness (inversed). Academic performance was assessed through the final academic grades and the test of educational abilities. Our results showed that the clustered CVD risk score at baseline was not associated with academic performance 24 months later (all p > .05). Nevertheless, except for physical education, academic grades at baseline were inversely associated with clustered CVD risk score at follow-up in adolescents (β ranged from -0.140 to -0.102; all p < .05). No associations were found between academic abilities at baseline and clustered CVD risk score at follow-up (all p > .05). Academic grades could help predict CVD risk 24 months later during adolescence. Education professionals should foster adolescents' academic performance not only to improve academic results but also to maximize future cardiovascular health benefits.

Association Between Coexisting Hypertension, Dyslipidemia, and Elevated C-Reactive Protein with Cardiovascular Disease in the Health and Retirement Study

Background: Cardiovascular disease (CVD) is the leading cause of death globally. Hypertension and dyslipidemia are established CVD risk factors, but these diagnoses are often insufficient in predicting CVD individually. Inflammation has emerged as a contributor to CVD, but research on the combination of inflammation, hypertension, and dyslipidemia in CVD risk is limited. More thorough evaluations of CVD risk using all 3 aforementioned risk factors are crucial. Methods: This report analyzes data from the Health and Retirement Study, a representative cohort of US adults over 50 years of age (n = 1,527). Participants were classified as having prevalent CVD if they self-reported a healthcare provider’s diagnosis of either a heart condition or a stroke or transient ischemic attack (TIA). We developed a CVD risk score using three factors known to contribute to CVD: hypertension, dyslipidemia, and elevated C-reactive protein (CRP). Risk was categorized as low (0-1 factors), medium (2 factors), or high (all 3 factors). Weighted logistic regression models estimated the adjusted odds ratio (OR) of CVD for medium and high-risk groups versus the low-risk group. Results: CVD prevalence in medium risk participants was not significantly different from low risk participants (OR = 1.21, 95% CI: [0.86 - 1.70]). After adjusting for age, high risk participants had significantly higher odds of CVD prevalence compared to participants with 0 or 1 of the risk factors (OR = 1.86, 95% CI: [1.26 - 2.74]). This association was robust to additional demographic adjustment for sex, race/ethnicity, obesity status, smoking status, and diabetes mellitus or hyperglycemia. Conclusion: Co-occurrence of hypertension, dyslipidemia, and elevated CRP was associated with CVD prevalence in a representative sample of older US adults. Our findings emphasize the importance of multifactor screening for CVD risk in clinical settings.

Evaluation of Antihyperlipidaemic and Cardioprotective Action of a Herbal Formulation

As per WHO, Cardiovascular diseases (CVDs) are the leading cause of death globally. CVDs also impart a huge financial burden and remain a hurdle for sustainable development in low and middle income countries. Hence there is an urgent need to identify individuals with high CVD risk and begin appropriate preventive intervention well in advance. In this study, 60 individuals of either sex, within the age group of 30 – 70 years, having hyperlipidaemia along with more than 10% of CVD risk were identified in lipid screening camps with the help of JBS 3 Heart Risk android application tool. A combination of three well known herbs in capsule form containing 500mg extract of Guggulu (Commiphora mukul), Pushkarmool (Inula racemosa) and Arjuna (Terminalia arjuna) in equal proportion was administered in a dose of 1 capsule twice daily after food with warm water for 3 months to treat hyperlipidaemia. Only 55 participants completed the trial. Different parameters of lipid profile, CVD risk score and biological heart age were compared before and after treatment using appropriate statistical method. The intervention resulted in reduction of total cholesterol by 17.49%, LDL by 21.04%, VLDL by 24.55% and Triglycerides by 24.55% whereas HDL increased by 10.48 %. As a secondary outcome, the mean CVD risk score was reduced by 6.91% and the mean biological heart age was also reduced by 6.64 years. The trial drug was well tolerated and free from adverse effects. Hence the trial drug can offer a safe and effective solution to individuals with hyperlipidaemia and moderate CVD risk.

Cardiovascular disease risk scores in patients with optimal vs suboptimal weight loss after bariatric surgery: Translating improvements into clinical practice

IntroductionThe aim of this study was to evaluate cardiovascular disease (CVD) risk modification in patients with optimal weight loss (OWL) versus suboptimal weight loss SWL following MBS. MethodsThis was a retrospective analysis. The 10-year risk CVD was estimated before and after one year of surgery using the “Framingham Score”. Results191 patients were included in our study. Mean baseline Framingham score was 7.2 ​± ​6.9%. According to the score, 54% of patients were classified as low risk (n ​= ​104), 23% as moderate (n ​= ​43), 20% moderately high (n ​= ​39) and 3% as high risk (n ​= ​5). One year after surgery, 91% of the patients showed reduction of their Framingham score. Mean CVD risk score decreased significantly to 4.1 ​± ​3.7% when compared to baseline (p-value is ​< ​0.001); 80% of patients classified as low risk (n ​= ​153), 13% as moderate (n ​= ​25), 7% moderately high (n ​= ​13) and 0% as high risk (n ​= ​0). ConclusionWeight loss after bariatric surgery reduces CVD risk scores and the magnitude of effect correlates with the degree of weight loss.