Evaluating a New Digital App-Based Program for Heart Health: Feasibility and Acceptability Pilot Study

BACKGROUND

Cardiovascular disease (CVD) is the leading cause of death in the United States, affecting a significant proportion of adults. Digital health lifestyle change programs have emerged as a promising method of CVD prevention, offering benefits such as on-demand support, lower cost, and increased scalability. Prior research has shown the effectiveness of digital health interventions in reducing negative CVD outcomes. This pilot study focuses on the Lark Heart Health program, a fully digital artificial intelligence (AI)-powered smartphone app, providing synchronous CVD risk counseling, educational content, and personalized coaching.

OBJECTIVE

This pilot study evaluated the feasibility and acceptability of a fully digital AI-powered lifestyle change program called Lark Heart Health. Primary analyses assessed (1) participant satisfaction, (2) engagement with the program, and (3) the submission of health screeners. Secondary analyses were conducted to evaluate weight loss outcomes, given that a major focus of the Heart Health program is weight management.

METHODS

This study enrolled 509 participants in the 90-day real-world single-arm pilot study of the Heart Health app. Participants engaged with the app by participating in coaching conversations, logging meals, tracking weight, and completing educational lessons. The study outcomes included participant satisfaction, app engagement, the completion of screeners, and weight loss.

RESULTS

On average, Heart Health study participants were aged 60.9 (SD 10.3; range 40-75) years, with average BMI indicating class I obesity. Of the 509 participants, 489 (96.1%) stayed enrolled until the end of the study (dropout rate: 3.9%). Study retention, based on providing a weight measurement during month 3, was 80% (407/509; 95% CI 76.2%-83.4%). Participant satisfaction scores indicated high satisfaction with the overall app experience, with an average score of ≥4 out of 5 for all satisfaction indicators. Participants also showed high engagement with the app, with 83.4% (408/489; 95% CI 80.1%-86.7%) of the sample engaging in ≥5 coaching conversations in month 3. The results indicated that participants were successfully able to submit health screeners within the app, with 90% (440/489; 95% CI 87%-92.5%) submitting all 3 screeners measured in the study. Finally, secondary analyses showed that participants lost weight during the program, with analyses showing an average weight nadir of 3.8% (SD 2.9%; 95% CI 3.5%-4.1%).

CONCLUSIONS

The study results indicate that participants in this study were satisfied with their experience using the Heart Health app, highly engaged with the app features, and willing and able to complete health screening surveys in the app. These acceptability and feasibility results provide a key first step in the process of evidence generation for a new AI-powered digital program for heart health. Future work can expand these results to test outcomes with a commercial version of the Heart Health app in a diverse real-world sample.

A community health worker led approach to cardiovascular disease prevention in the UK-SPICES-Sussex (scaling-up packages of interventions for cardiovascular disease prevention in selected sites in Europe and Sub-saharan Africa): an implementation research project

Background

This paper describes a UK-based study, SPICES-Sussex, which aimed to co-produce and implement a community-based cardiovascular disease (CVD) risk assessment and reduction intervention to support under-served populations at moderate risk of CVD. The objectives were to enhance stakeholder engagement; to implement the intervention in four research sites and to evaluate the use of Voluntary and Community and Social Enterprises (VCSE) and Community Health Worker (CHW) partnerships in health interventions.

Methods

A type three hybrid implementation study design was used with mixed methods data. This paper represents the process evaluation of the implementation of the SPICES-Sussex Project. The evaluation was conducted using the RE-AIM framework.

Results

Reach: 381 individuals took part in the risk profiling questionnaire and forty-one women, and five men participated in the coaching intervention. Effectiveness: quantitative results from intervention participants showed significant improvements in CVD behavioural risk factors across several measures. Qualitative data indicated high acceptability, with the holistic, personalised, and person-centred approach being valued by participants. Adoption: 50% of VCSEs approached took part in the SPICES programme, The CHWs felt empowered to deliver high-quality and mutually beneficial coaching within a strong project infrastructure that made use of VCSE partnerships. Implementation: Co-design meetings resulted in local adaptations being made to the intervention. 29 (63%) of participants completed the intervention. Practical issues concerned how to embed CHWs in a health service context, how to keep engaging participants, and tensions between research integrity and the needs and expectations of those in the voluntary sector. Maintenance: Several VCSEs expressed an interest in continuing the intervention after the end of the SPICES programme.

Conclusion

Community-engagement approaches have the potential to have positively impact the health and wellbeing of certain groups. Furthermore, VCSEs and CHWs represent a significant untapped resource in the UK. However, more work needs to be done to understand how links between the sectors can be bridged to deliver evidence-based effective alternative preventative healthcare. Reaching vulnerable populations remains a challenge despite partnerships with VCSEs which are embedded in the community. By showing what went well and what did not, this project can guide future work in community engagement for health.

Risk of cardiovascular diseases among young adults: a cross-sectional study in Malaysia

BACKGROUND

Cardiovascular disease (CVD) is the major cause of mortality worldwide. Recent studies showed that there is increasing CVD incidence at younger ages. Therefore, this study aimed to estimate the risk of CVD and its associated factors among young adults.

METHODS

A cross-sectional study was conducted among university students in Selangor, Malaysia, using a self-administered questionnaire along with anthropometric measurements. The sample size was calculated using a single proportion formula. The CVD risk was calculated using the non-laboratory-based Inter-Heart Modifiable Risk Score (IHMRS). Participants aged 18 years and above, with no CVD history, were recruited using a convenience sampling method between February and May 2022. CVD risk was classified as low (scores between 0 and 9 points), moderate (scores between 10 and 15 points) and high (scores between 16 and 48 points). The factors associated with the CVD risk were identified using χ2 analysis.

RESULTS

A total of 241 participants were included in this study. The median age was 28 years and the majority were females (75.1%). The IHMRS revealed that 46.5%, 44.4% and 9% of the respondents have low, moderate and high CVD risk, respectively. The CVD risk associated factors were education, the history of heart attacks among parents, feeling sad or depressed for 2 weeks or more in a row, having several episodes/permanent stress, expose to secondhand smoke and consuming meat and poultry more than two times daily.

CONCLUSIONS

This study found that more than 50% of study participants had moderate to high risk of CVD. Family history and lifestyle factors are the most likely determinants of CVD risk among the young age group. These findings support the development and implementation of targeted prevention programmes as well as provide useful information for action planning and policymaking to curb the disease in the future.

Physical activity and odds of coronary heart disease among Lebanese women

BACKGROUND

It is known that physical activity (PA) is protective against cardiovascular morbidity and mortality. However, few studies have examined the association between PA, sedentary lifestyle and coronary heart disease (CHD) in women. This case-control study investigates the relationship between PA and sedentary behavior on CHD odds in Lebanese women over forty.

METHODS

One thousand five hundred selected Lebanese women (300 cases and 1200 controls) were included between 2018-2019. Cases were hospitalized women newly diagnosed with CHD, whereas the control groups were free of any heart diseases. Data on socio-demographic, lifestyle, cardiovascular factors, PA and sedentary lifestyle were collected. Multivariate logistic regressions, adjusted for covariates, were performed to investigate the association of PA domains and sedentary behavior with CHD.

RESULTS

A sedentary lifestyle combined with low activity levels increased the odds of CHD. Among cases, 46.7% participated in moderate or vigorous PA against almost 60.3% of controls. 36.3% of coronary patients had more than 10 h/day of sedentary time, with a positive correlation with CHD (adjusted OR: 1.533, 95%CI: 1.046-2.247). Conversely, moderate and high levels (respectively 600-3000 and ≥ 3000 metabolic equivalents [MET]-minutes/week) of domestic/garden PA revealed lower CHD odds (OR: 0.566, 95%CI: 0.396-0.808 and 0.193, 0.065-0.578 respectively). The detrimental influence of sedentary lifestyle appeared to be significantly reversed by weekly moderate PA, especially as weekly sedentary time was less (OR: 0.616, 95%CI: 0.427-0.888/ 6 to10h of sedentary time and OR: 0.537, 95% CI: 0.37-0.779/ ≤ 6 h), and except sedentary time exceeding 10 h daily. Two PA patterns revealed lower CHD odds: transport-related and domestic/garden PA, as early as low amount, even after adjustment for possible confounders.

CONCLUSION

The current study highlights the importance of combating sedentary behaviors and engaging in regular, easily accessible PA to reduce the odds of coronary disease among aging women. Therefore, better information regarding the benefits of physical activities such as transportation-related activities or gardening would be helpful in enhancing the prevention of CHD in aging women.

The Association of Early Menopause with Increased Risk of Acute Myocardial Infarction: The INTERHEART China Study

Background and Aim: Little is known about whether early menopause in Chinese ethnicity is associated with acute myocardial infarction (AMI). We aimed to determine whether self-reported early menopause (either surgical or natural menopause at an age <50 year) was associated with first AMI in Chinese women. Methods: The study population was from the INTERHEART China Study, part of the INTERHEART global study. INTERHEART global study was a standardized case-control study that was designed to evaluate the risk factors for first AMI among 52 countries. Data for demographic factors, education, income, and cardiovascular risk factors were obtained by structured questionnaires. A standard set of questions that inquired about menstrual history was included in the interview. Results: Of the 1,771 Chinese women, 1,563 (88.3%) reported either natural or surgical menopause. In univariate logistic regression model, women with early menopause had higher risk of AMI (odds ratio [OR]: 1.51; 95% confidence interval [CI]: 1.23-1.87). After controlling for age, birth control measures, type of menopause, and other traditional risk factors (including waist/hip ratio, lifestyle factors, history of hypertension and diabetes, psychosocial factors, and apolipoprotein B [ApoB]/A1 [ApoA1]), the risk for AMI remained (OR: 1.36; 95% CI: 1.03-1.79). The population attributable risk for AMI in women with early menopause at <50 years was 10.1% (95% CI: 4.0-20.0) compared with women who had menopause at ≥50 years. Conclusion: Early menopause is associated with increased risk of AMI in Chinese women, independent of other traditional coronary heart disease risk factors.

Engaging Participants Through Hybrid Community-Centered Approaches: Lessons Learned During the COVID CommUNITY Public Health Research Program

Community-centered research studies can improve trust, cultural appropriateness, and accurate findings through meaningful, in-depth engagement with participants. During the COVID-19 pandemic, researchers shifted to implement pandemic-specific guidelines on top of already existing safety practices; these adjustments gave insight into bettering the structure of forthcoming research studies. At the Population Health Research Institute (PHRI)/McMaster University, the COVID CommUNITY study staff took field notes from their experience at the Ontario (ON) and British Columbia (BC) sites navigating an observational prospective cohort study during the pandemic. These field notes are outlined below to provide insight into culturally responsive, trust-centered, and communication-focused strategies used to improve hybrid research. A significant challenge the team overcame was obtaining blood sample collections by executing socially distanced sample collections outside of participants' homes, coined "Porch Pickups." Data collection was made more accessible through phone surveys and frequent virtual contact. To enhance recruitment strategies for sub-communities of the South Asian population, staff focused on cultural interests and "gift-exchange" incentives. Cultural awareness was prioritized through correct name pronunciation, conducting data collection in participant preferred languages, and using flexible approaches to data collection. These strategies were developed through weekly team meetings where improvement strategies were discussed, and concerns were addressed in real-time.

Socioeconomic disparity in mortality and the burden of cardiovascular disease: analysis of the Prospective Urban Rural Epidemiology (PURE)-China cohort study

BACKGROUND

Although socioeconomic inequality in cardiovascular health has long been a public health focus, the differences in cardiovascular-disease burden and mortality between people with different socioeconomic statuses has yet to be adequately addressed. We aimed to assess the effects of socioeconomic status, measured via three socioeconomic-status indicators (ie, education, occupation, and household wealth and a composite socioeconomic-status disparity index, on mortality and cardiovascular-disease burden (ie, incidence, mortality, and admission to hospital) in China.

METHODS

For this analysis, we used data from the Prospective Urban Rural Epidemiology (PURE)-China cohort study, which enrolled adults aged 35-70 years from 115 urban and rural areas in 12 provinces in China between Jan 1, 2005, and Dec 31, 2009. Final follow-up was on Aug 30, 2021. Indicators of socioeconomic status were education, occupation, and household wealth; these individual indicators were also used to create an integrated socioeconomic-status index via latent class analysis. Standard questionnaires administered by trained researchers were used to obtain baseline data and were supplemeted by physical measurements. The primary outcomes were all-cause mortality, cardiovascular-disease mortality, non-cardiovascular-disease mortality, major cardiovascular disease, and cardiovascular-disease admission to hospital. Hazard ratios (HRs) and average marginal effects were used to assess the association between the primary outcomes and socioeconomic status.

FINDINGS

Of 47 931 participants enrolled in the PURE-China study, 47 278 (98·6%) had complete information on sex and follow-up. After excluding 1189 (2·5%) participants with missing data on education, household wealth, and occupation at baseline, 46 089 participants were included in this analysis. Median follow-up was 11·9 years (IQR 9·5-12·6); 26 860 (58·3%) of 46 089 participants were female and 19 229 (41·7%) were male. Having no or primary education, unskilled occupation, or being in the lowest third of household wealth was associated with a higher risk of all-cause mortality, cardiovascular-disease mortality, non-cardiovascular-disease mortality, major cardiovascular disease, and cardiovascular-disease admission to hospital compared with having higher education, a professional or managerial occupation, or more household wealth. After adjustment for confounders, people categorised as having low integrated socioeconomic status based on the index had a higher risk of all-cause mortality (HR 1·65 [95% CI 1·42-1·92]), cardiovascular-disease mortality (2·19 [1·68-2·85]), non-cardiovascular disease mortality (1·43 [1·18-1·72]), major cardiovascular disease (1·43 [1·27-1·61]) and cardiovascular-disease admission to hospital (1·14 [1·01-1·28]) compared with people categorised as having high integrated socioeconomic status.

INTERPRETATION

Socioeconomic-status inequalities in mortality and cardiovascular-disease outcomes exist in China. Targeted policies of equal health-care resource allocation should be promoted to equitably benefit people with fewer years of education and less household wealth.

FUNDING

Funding sources are listed at the end of the Article.

The Healthy Hearts Project: Development and evaluation of a website for cardiovascular risk assessment and visualisation and self-management through healthy lifestyle goal-setting

Materially deprived communities in the UK have excess morbidity and mortality from cardiovascular disease (CVD) but are less likely to engage with formal care pathways. Community engagement and e-health may be more effective ways to promote risk-reducing lifestyle change. The "Healthy Hearts Project" website was designed for use by community health workers (CHWs) for cardiovascular risk assessment and lifestyle goal setting, or for independent use by community members. This paper describes the website's development and evaluation. The website was developed using interactive wire frame prototypes in a user-led approach. Qualitative evaluation of the completed website's usability and acceptability was conducted using the "Thinking Aloud" method in a purposive sample of 10 participants (one voluntary sector employee, three CHWs, two community members and four healthcare professionals). Thinking Aloud interview transcripts were thematically analysed using an inductive approach. A separate quantitative evaluation of usability and the effect of using the website on CVD knowledge and beliefs was conducted. A random sample of 134 participants, recruited using the online platform Prolific, completed the "Attitudes and Beliefs About Cardiovascular Disease" (ABCD) questionnaire before and after using the website, along with the System Usability Scale (SUS). Qualitative evaluation-Four key themes were identified: 1) Website functionality and design-participants generally found the website easy to use and understood the risk communication graphics and the feedback and goal-setting features,; 2) Inclusivity and representation-most participants considered the website inclusive of a range of users/cultures; 3) Language and comprehension-participants found the language used easy to understand but suggested reducing the amount of text; 4) Motivation and barriers to change-participants liked the personalized feedback and empowerment offered by goal-setting but commented on the need for self-motivation. Quantitative evaluation-The mean score across all domains of the ABCD questionnaire (from 2.99 to 3.11, p<0.001) and in the sub-domains relating to attitudes and beliefs around healthy eating and exercise increased after using the website. The mean(sd) score on the SUS was 77.5 (13.5). The website's usability was generally rated well by both quantitative and qualitative measures, and measures of CVD knowledge improved after use. A number of general recommendations for the design of eHealth behaviour change tools are made based on participants' suggestions to improve the website.

Disparities in the non-laboratory INTERHEART risk score and its components in selected countries of Europe and sub-Saharan Africa: analysis from the SPICES multi-country project

Aims

Accurate prediction of a person's risk of cardiovascular disease (CVD) is vital to initiate appropriate intervention. The non-laboratory INTERHEART risk score (NL-IHRS) is among the tools to estimate future risk of CVD. However, measurement disparities of the tool across contexts are not well documented. Thus, we investigated variation in NL-IHRS and components in selected sub-Saharan African and European countries.

Methods and results

We used data from a multi-country study involving 9309 participants, i.e. 4941 in Europe, 3371 in South Africa, and 997 in Uganda. Disparities in total NL-IHRS score, specific subcomponents, subcategories, and their contribution to the total score were investigated. The variation in the adjusted total and component scores was compared across contexts using analysis of variance. The adjusted mean NL-IHRS was higher in South Africa (10.2) and Europe (10.0) compared to Uganda (8.2), and the difference was statistically significant (P < 0.001). The prevalence and per cent contribution of diabetes mellitus and high blood pressure were lowest in Uganda. Score contribution of non-modifiable factors was lower in Uganda and South Africa, entailing 11.5% and 8.0% of the total score, respectively. Contribution of behavioural factors to the total score was highest in both sub-Saharan African countries. In particular, adjusted scores related to unhealthy dietary patterns were highest in South Africa (3.21) compared to Uganda (1.66) and Europe (1.09). Whereas, contribution of metabolic factors was highest in Europe (30.6%) compared with Uganda (20.8%) and South Africa (22.6%).

Conclusion

The total risk score, subcomponents, categories, and their contribution to total score greatly vary across contexts, which could be due to disparities in risk burden and/or self-reporting bias in resource-limited settings. Therefore, primary preventive initiatives should identify risk factor burden across contexts and intervention activities need to be customized accordingly. Furthermore, contextualizing the risk assessment tool and evaluating its usefulness in different settings are recommended.

Longitudinal Pathways Between Physical Activity, Depression, and Perceived Stress in Peripheral Artery Disease

BACKGROUND

One-fifth of the patients with peripheral artery disease (PAD) experience depression and stress. Depression and stress may impact patients' abilities to be physically active, a key recommendation for supporting overall PAD management to improve symptoms and reduce the risk of cardiovascular events. We aimed to study interrelationships between 1-year longitudinal trajectories of depression, stress, and physical activity following a PAD diagnosis.

METHODS

Patients with new or worsening PAD symptoms enrolled at 10 US PORTRAIT study (Patient-Centered Outcomes Related to Treatment Practices in Peripheral Arterial Disease: Investigating Trajectories) vascular specialty clinics (CT, LA, MI, MO, NC, OH, and RI) were assessed at baseline, 3, 6, and 12 months between June 2, 2011 and December 3, 2015. Depressive symptoms were measured with the 8-item Patient Health Questionnaire, perceived stress with the 4-item Perceived Stress Scale and physical activity with items from the INTERHEART study. Path analysis was used to examine the longitudinal relationship between depression and physical activity and perceived stress and physical activity.

RESULTS

A total of 766 patients were included (mean age of 68.2 [±9.4] years; 57.7% male). Overall, 17.8% reported significant depressive symptoms, 36.0% experienced increased perceived stress, and 44.1% were sedentary upon PAD diagnosis. A decrease in physical activity preceded a rise in subsequent depressive symptoms (β ranges -0.45 [95% CI, -0.80 to -0.09]; -0.81 [95% CI, -1.19 to 0.42]) over the course of 1 year. Low physical activity scores at the initial presentation were followed by high perceived stress at 3 months (β=-0.44 [95% CI, -0.80 to -0.07]).

CONCLUSIONS

In symptomatic PAD, a decrease in physical activity was followed by an increased risk of depressive symptoms and perceived stress at subsequent intervals over the course of 1 year following PAD diagnosis and treatment. Integrated behavioral health approaches for PAD, addressing physical activity and managing depression or distress, are indicated as collective PAD treatment goals.

Predictors of program interest in a digital health pilot study for heart health

Digital health programs can play a key role in supporting lifestyle changes to prevent and reduce cardiovascular disease (CVD) risk. A key concern for new programs is understanding who is interested in participating. Thus, the primary objective of this study was to utilize electronic health records (EHR) to predict interest in a digital health app called Lark Heart Health. Because prior studies indicate that males are less likely to utilize prevention-focused digital health programs, secondary analyses assessed sex differences in recruitment and enrollment. Data were drawn from an ongoing pilot study of the Heart Health program, which provides digital health behavior coaching and surveys for CVD prevention. EHR data were used to predict whether potential program participants who received a study recruitment email showed interest in the program by "clicking through" on the email to learn more. Primary objective analyses used backward elimination regression and eXtreme Gradient Boost modeling. Recruitment emails were sent to 8,649 patients with available EHR data; 1,092 showed interest (i.e., clicked through) and 345 chose to participate in the study. EHR variables that predicted higher odds of showing interest were higher body mass index (BMI), fewer elevated lab values, lower HbA1c, non-smoking status, and identifying as White. Secondary objective analyses showed that, males and females showed similar program interest and were equally represented throughout recruitment and enrollment. In summary, BMI, elevated lab values, HbA1c, smoking status, and race emerged as key predictors of program interest; conversely, sex, age, CVD history, history of chronic health issues, and medication use did not predict program interest. We also found no sex differences in the recruitment and enrollment process for this program. These insights can aid in refining digital health tools to best serve those interested, as well as highlight groups who may benefit from behavioral intervention tools promoted by additional recruitment efforts tailored to their interest.

Association of cardiovascular health and risk prediction algorithms with subclinical atherosclerosis identified by carotid ultrasound

Background

The requirement for laboratory tests to assess conventional cardiovascular disease (CVD) risk may be a barrier to the early detection and management of atherosclerosis in some population groups. A simpler risk assessment could facilitate detection of CVD.

Objectives

The association of the Fuster-BEWAT Score (FBS), Framingham Risk Score (FRS), and Pooled Cohort Equation (PCE) with the presence of carotid plaque was investigated, with the intention of developing a stepped screening process for the primary prevention of CVD.

Methods

Asymptomatic participants with a family history of premature CVD had an absolute cardiovascular disease risk (ACVDR) score calculated using the FBS, FRS, and PCE risk equations. This risk classification was compared with the presence or absence of carotid plaque on ultrasound. Prediction of carotid plaque presence by risk scores and risk factors was assessed by logistic regression and area under the curve (AUC) for discrimination and diagnostic performance. A classification and regression-tree (CART) model was obtained for stratification of risk assessment.

Results

Risk score calculation and ultrasound scanning were performed in 1031 participants, of whom 51 had carotid plaques. Participants with plaque and male sex showed higher risk (higher PCE and FRS and lower FBS, as higher scores of FBS indicate better cardiovascular health). Participants ≤50 years of age showed the FBS was a significant predictor; there was a reduced likelihood of plaque presence with a higher score (OR 0.54, 95% CI 0.39-0.75, P < .01). Higher ACVDR (evidenced by higher PCE and FRS scores and lower FBS score) was associated with an increased likelihood of carotid plaque; however, the FBS and the addition of risk factors not included in the equation showed the highest AUC (AUC = 0.76, P < .001). CART modeling showed that participants with FBS between 6 and 9 would be recommended for further risk stratification using the PCE, whereupon a PCE score ≥5% conferred an increased risk and greater possibility for plaque. Validation of the model using a different cohort showed similar risk stratification for plaque presence according to level of risk by CART analysis.

Conclusion

FBS was able to identify the presence of carotid plaque in asymptomatic individuals. Its use for initial risk delineation might improve the selection of patients for more specific and complex assessment, reducing cost and time.

Self-Assessment of INTERHEART Risk Stratification among the Middle-Aged Community in Malaysia

Research background and Objectives: Age is an independent risk factor for cardiovascular disease (CVD), but CVD risk factors are preventable, and lack of awareness of its risk factors is a contributing factor to CVDs. Middle-aged people may be more likely to engage in unhealthy lifestyle behaviours which can increase the risk of CVD. Health self-assessment is crucial for early detection and management of health issues and early lifestyle intervention for better personalised health management. This study aims to determine the self-assessment of INTERHEART risk classification among the middle-aged community in Malaysia. Method: Local community members aged 40-60 years and who are currently residing in Malaysia were recruited via non-randomised sampling. Sociodemographic characteristics and dietary pattern related to salt, fibre, fat (deep fried/snacks), poultry/meat intakes, and other cardiovascular risk factors (waist-hip ratio, medical history related to diabetes/hypertension, history/exposure of tobacco use, psychosocial status, and level of physical activity) were assessed; INTERHEART risk scores were then computed and stratified into low, medium and high risks. Results: Approximately 45% (n = 273/602) of middle-aged respondents in Malaysia are at moderate-to-high risk of cardiovascular events, with men being more likely to develop CVD compared to women. The results of the survey indicated that poultry/meat intake (61%), physical inactivity (59%), and second-hand smoke (SHS) exposure (54%) are the most prevalent risk factors among the respondents. One-third of the respondents consumed excessive salty food and deep fried foods/snacks/fast food, and only one-third of them consumed vegetables/fruits at a recommended level. It is worrying that about a quarter of the respondents felt several periodical/permanent stresses and even felt sad/blue/depressed for two weeks or more in a row. Males, labour workers, and those with lower educational levels are more likely to develop CVD events. Conclusions: This study found that 45% of the middle-aged respondents were having moderate-to-high risk for cardiovascular events with multiple risk factors related to unhealthy lifestyle habits and environmental factors. In addition to non-modifiable factors such as gender and age, sociodemographic factors, i.e., educational level and occupation, are equally important factors to determine CVD risk. Overall, the findings of this study emphasize the clinical relevance of assessing multiple factors in the determination of CVD risks for early prevention and management of cardiovascular diseases.

Wearable sensing, big data technology for cardiovascular healthcare: current status and future prospective

ABSTRACT

Wearable technology, which can continuously and remotely monitor physiological and behavioral parameters by incorporated into clothing or worn as an accessory, introduces a new era for ubiquitous health care. With big data technology, wearable data can be analyzed to help long-term cardiovascular care. This review summarizes the recent developments of wearable technology related to cardiovascular care, highlighting the most common wearable devices and their accuracy. We also examined the application of these devices in cardiovascular healthcare, such as the early detection of arrhythmias, measuring blood pressure, and detecting prevalent diabetes. We provide an overview of the challenges that hinder the widespread application of wearable devices, such as inadequate device accuracy, data redundancy, concerns associated with data security, and lack of meaningful criteria, and offer potential solutions. Finally, the future research direction for cardiovascular care using wearable devices is discussed.

Effects of Health Coaching on Cardiometabolic Health in Middle-Aged Adults: A Systematic Review and Meta-analysis

OBJECTIVE

To appraise and synthesize evidence on the effects of health coaching as the primary intervention on cardiometabolic health among middle-aged adults.

DATA SOURCE

Six electronic databases (MEDLINE, Embase, PsycINFO, CINAHL, PubMed, and the Cochrane library) were searched from inception until July 2021.

STUDY INCLUSION AND EXCLUSION CRITERIA

Randomized controlled trials and controlled clinical trials published in English, reporting health coaching aimed to promote behavioral changes for improving cardiometabolic health among middle-aged adults were included. Studies on health coaching as secondary intervention were excluded.

DATA EXTRACTION

Two reviewers selected the articles, appraised the study quality, and extracted data independently. All kinds of outcomes related to cardiometabolic health, including health behaviors, psychological and physiological outcomes, were included.

DATA SYNTHESIS

Meta-analysis was performed if three or more studies reported the same outcomes. Narrative synthesis was performed if pooling of data for meta-analysis was not feasible.

RESULTS

Eight studies were reviewed. Most studies involved substantial risk of bias. The majority of the participants were women (99.1%). Meta-analysis showed a small but significant effect of health coaching on increasing physical activity (SMD = .34, 95% CI = .08-.60, p = .01, I² = 0%); however, its effect on perceived barriers to physical activity and depressive symptoms was nonsignificant. Narrative synthesis yielded inconsistent results on diet, smoking, anxiety, goal achievement and self-efficacy for behavioral change, physiological outcomes, and metabolic syndrome severity, and nonsignificant effects on alcohol consumption, sleep quality, perceived benefits of physical activities, and cardiovascular symptoms.

CONCLUSIONS

Health coaching has significant effects on increasing physical activity among middle-aged adults; however, its effects on health behaviors and risk factors related to cardiometabolic health are inconclusive. Further efforts are warranted to examine how health coaching can improve cardiometabolic health among middle-aged adults.

Effects of a Polypill, Aspirin, and the Combination of Both on Cognitive and Functional Outcomes: A Randomized Clinical Trial

Importance

Vascular risk factors are associated with cognitive decline but studies addressing individual risk factors have not demonstrated an effect of risk factor management on the preservation of cognition. Few trials have examined the effect of vascular risk factor management on function.

Objective

To determine if a polypill could reduce cognitive and functional decline in people with risk factors but without manifest cardiovascular disease.

Design, Setting, and Participants

The International Polycap Study 3 (TIPS-3) was a 2 × 2 × 2 factorial randomized clinical trial. Hospital and community-based centers in 8 countries recruited and followed up participants between July 30, 2012, and September 30, 2020. A total of 5713 individuals were randomly assigned to treatment groups, and 2098 people 65 years or older at intermediate risk of cardiovascular disease completed a cognitive assessment and were included in the analyses.

Interventions

Polypill (antihypertensives and a statin), aspirin, or a combination of both treatments.

Main Outcomes and Measures

Cognitive and functional assessments completed at baseline, 2 years, and study end. The primary outcome was the effect of a polypill compared with placebo and a polypill plus aspirin compared with double placebo on the composite outcome of the proportion of participants in each group who experienced a substantive decrease (>1.5 SD change) in cognitive or functional abilities.

Results

Of the 2389 study participants older than 65 years, a total of 2098 (88%; mean [SD] age, 70.1 [4.5] years; 1266 female individuals [60%]) completed the baseline and follow-up assessment. A total of 1796 participants (86%) had hypertension, and 680 participants (32%) had impaired fasting plasma glucose levels. Mean (SD) baseline systolic blood pressure was 146.1 (17.7) mm Hg, and mean (SD) low-density lipoprotein cholesterol (LDL-C) level was 124.3 (40.7) mg/dL and decreased by 5.7 mm Hg and 24 mg/dL, respectively, among those assigned to the polypill group. During a 5-year follow-up, there were no significant differences between treatment groups in the number of participants who experienced substantive cognitive decline (356 assigned polypill, 328 assigned placebo) or dementia (2 assigned polypill, 4 assigned placebo). Functional decline was reduced during follow-up for those assigned to polypill compared with placebo (mean [SD] country-standardized adjusted follow-up Standard Assessment of Global Everyday Activities [SAGEA] scores, 0.06 [0.03] vs 0.15 [0.03]; P = .01) and polypill plus aspirin compared with double placebo (mean [SD] country-standardized adjusted follow-up SAGEA scores, 0.01 [0.04] vs 0.14 [0.04]; P = .01).

Conclusions and Relevance

In this randomized clinical trial of patients 65 years or older with vascular risk factors, a polypill, with or without aspirin, was not associated with reduced cognitive outcomes but was associated with reduced functional decline.

Identification and Management of Atherosclerotic Cardiovascular Disease Risk in South Asian Populations in the U.S

South Asians (SAs, individuals with ancestry from Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka) are among the fastest growing ethnic subgroups in the United States. SAs typically experience a high prevalence of diabetes, abdominal obesity, and hypertension, among other cardiovascular disease risk factors, which are often under recognized and undermanaged. The excess coronary heart disease risk in this growing population must be critically assessed and managed with culturally appropriate preventive services. Accordingly, this scientific document prepared by a multidisciplinary group of clinicians and investigators in cardiology, internal medicine, pharmacy, and SA-centric researchers describes key characteristics of traditional and nontraditional cardiovascular disease risk factors, compares and contrasts available risk assessment tools, discusses the role of blood-based biomarkers and coronary artery calcium to enhance risk assessment and prevention strategies, and provides evidenced-based approaches and interventions that may reduce coronary heart disease disparities in this higher-risk population.

Screening for cardiovascular risk in the general population: The SPICES implementation survey

Background

In 2019, cardiovascular diseases (CVD) caused 32% of deaths worldwide. The SPICES survey involved five countries in an international primary CVD prevention implementation study in the general population. The French SPICES survey was implemented in the Centre Ouest Bretagne area (COB), which is a rural, economically deprived, medically underserved territory with high cardiovascular mortality. A CVD screening in the general population was needed to select the implementation population without overburdening family practitioner (FP) workforces. The efficacy and the replicability of such a screening were unknown. The aims of this study were to identify the characteristics of the individuals undergoing CVD risk assessment with the Non-Laboratory Interheart risk score (NL-IHRS), and to identify barriers and explore facilitators when screening the general population.

Methods

An implementation study combining a cross-sectional descriptive study with qualitative interviews was undertaken. The NL-IHRS was completed by trained screeners selected from health students, pharmacists, nurses, and physiotherapists in the area with a dedicated e-tool in sport and cultural events and public places. After the screening, all screener groups were interviewed until theoretical saturation for each group. Thematic analysis was performed using double-blind coding.

Results

In 5 months, 3,384 assessments were undertaken in 60 different places, mostly by health students. A total of 1,587, 1,309, and 488 individuals were at low, moderate, and high CVD risk. Stressed or depressed individuals were remarkably numerous (40.1 and 24.5% of the population, respectively). Forty-seven interviews were conducted. The main facilitators were willingness of the population, trust between screeners and the research team, and media publicity. The main barriers were lack of motivation of some screeners, some individuals at risk, some stakeholders and difficulties in handling the e-tool.

Conclusion

The efficacy of CVD risk screening while using mostly health students was excellent and preserved the FP workforce. Replicability was highly feasible if research teams took great care to establish and maintain trust between screeners and researchers. The e-tools should be more user-friendly.

Preventive Medicine via Lifestyle Medicine Implementation Practices Should Consider Individuals' Complex Psychosocial Profile

Noncommunicable chronic diseases are associated with lifestyle behaviors. Psychological and social factors may influence the adoption of such behaviors. Being mentally and physically energized or fatigued may influence the intention-behavior gap of healthy lifestyle adoption accordingly. We investigated the associations of age, sex, lifestyle behaviors, mood, and mental and physical energy and fatigue at both the trait and state levels. The participants (N = 670) completed questionnaires assessing their sleep, mood, mental and physical state energy and fatigue, physical activity, mental workload, and diet. The ordinary least squares regression models revealed an overlap between the mental state and trait energy levels for males who consume polyphenols, have a high mental workload, and sleep well. Being younger, having a high stress level, bad sleep habits, and being confused and depressed were associated with high mental fatigue. Physical energy and fatigue shared the same commonalities with the previous results, with greater discrepancies observed between the state and trait indicators compared to that between mental energy and fatigue. Diet and stress management seem to be predictors of high physical energy, and females report higher physical fatigue levels. Health care professionals should consider this psychosocial complex profiling in their differential diagnosis and when one is implementing lifestyle behavioral changes to address the facets of preventive medicine, wellness, and health promotion.

Screening and Interventions for Cardiovascular Disease Prevention in the Limpopo Province, South Africa: Use of the Community Action Model

The rise in non-communicable diseases (NCDs) has been attributed to economic growth in developing countries, shifts in societal norms, and behaviors such as dietary habits and physical activity. Up to 80% of NCDs could be prevented by eliminating shared risk factors, mainly tobacco use, unhealthy diets, physical inactivity, and the harmful use of alcohol. The South African government’s national strategic plan to control NCDs, which includes cardiovascular disease (CVD) prevention, places a strong emphasis on the need to improve the prevention, detection, early intervention, and management of NCDs. In line with the above recommendations, this study aimed to screen rural communities using the non-laboratory INTERHEART Risk Score tool (NLIRS) and develop relevant and suitable intervention strategies for a patient at moderate risk of developing a heart attack. A quantitative research approach applying a household-based design was used to conduct this study and the community action model (CAM). The difference between pre-intervention and post-intervention results were analyzed using a t-test and Analysis of covariance (ANCOVA) with age, smoke, hypertension, and diabetes as the covariates. The study found a significant difference in proportions between pre and post-intervention for raised Systole (SBP), obesity by body mass index (BMI), and waist circumference (WC). In rural communities, using CAM to improve knowledge and behavioral practices of NCD risk factors is feasible and effective. This basket of interventions will assist community members in reducing their risk of developing metabolic syndromes as well as their risk of developing CVDs. Continued investment and research in CVD prevention interventions are required to improve health, reduce costs, and have long-term benefits for conflict-affected individuals and communities.

South Asian ethnicity: What can we do to make this risk enhancer a risk equivalent?

South Asians account for around 25% of the global population and are the fastest-growing ethnicity in the US. This population has an increasing burden of atherosclerotic cardiovascular disease (ASCVD) which is also seen in the diaspora. Current risk prediction equations underestimate this risk and consider the South Asian ethnicity as a risk-enhancer among those with borderline-intermediate risk. In this review, we discuss why the South Asian population is at a higher risk of ASCVD and strategies to mitigate this increased risk.

Validation of the PAM-13 instrument in the Hungarian general population 40 years old and above

BACKGROUND

Patient activation comprises the skills, knowledge and motivation necessary for patients' effective contribution to their care. We adapted and validated the 13-item Patient Activation Measure (PAM-13) in the ≥ 40 years old Hungarian general population.

METHODS

A cross-sectional web survey was conducted among 900 respondents selected from an online panel via quota sampling. After 10 days, the survey was repeated on 100 respondents. The distribution, internal consistency, test-retest reliability, factor structure, convergent, discriminant and known-groups validity of PAM-13 were assessed according to the COSMIN guidelines.

RESULTS

The sample comprised 779 respondents. Mean (± SD) age was 60.4 ± 10.6 years, 54% were female and 67% had chronic illness. Mean (± SD) PAM-13 score was 60.6 ± 10.0. We found good internal consistency (Cronbach alpha: 0.77), moderate test-retest reliability (ICC: 0.62; n = 75), a single-factor structure and good content validity: PAM-13 showed moderate correlation with the eHealth Literacy Scale (r = 0.40), and no correlation with age (r = 0.02), education (r = 0.04) or income (ρ = 0.04). Higher PAM-13 scores were associated with fewer lifestyle risks (p < 0.001), more frequent health information seeking (p < 0.001), participation in patient education (p = 0.018) and various online health-related behaviours. When controlling for health literacy, sociodemographic factors and health status, the association of higher PAM-13 scores with overall fewer lifestyle risks, normal body mass index, physical activity and adequate diet remained significant. Similar properties were observed in the subgroup of participants with chronic morbidity, but not in the age group 65+.

CONCLUSION

PAM-13 demonstrated good validity in the general population. Its properties in clinical populations and the elderly as well as responsiveness to interventions warrant further research.

Protein Biomarkers and Cardiovascular Outcomes in People With Type 2 Diabetes and Acute Coronary Syndrome: The ELIXA Biomarker Study

OBJECTIVE

To use protein biomarkers to identify people with type 2 diabetes at high risk of cardiovascular outcomes and death.

RESEARCH DESIGN AND METHODS

Biobanked serum from 4,957 ELIXA (Evaluation of Lixisenatide in Acute Coronary Syndrome) trial participants was analyzed. Forward-selection Cox models identified independent protein risk factors for major adverse cardiovascular events (MACE) and death that were compared with a previously validated biomarker panel.

RESULTS

NT-proBNP and osteoprotegerin predicted both outcomes. In addition, trefoil factor 3 predicted MACE, and angiopoietin-2 predicted death (C = 0.70 and 0.79, respectively, compared with 0.63 and 0.66 for clinical variables alone). These proteins had all previously been identified and validated. Notably, C statistics for just NT-proBNP plus clinical risk factors were 0.69 and 0.78 for MACE and death, respectively.

CONCLUSIONS

NT-proBNP and other proteins independently predict cardiovascular outcomes in people with type 2 diabetes following acute coronary syndrome. Adding other biomarkers only marginally increased NT-proBNP's prognostic value.

Obesity Increases In-Hospital Mortality of Acute Type A Aortic Dissection Patients Undergoing Open Surgical Repair: A Retrospective Study in the Chinese Population

Objective

The prevalence of obesity is increasing worldwide, and the role of the obesity paradox in cardiovascular surgery remains controversial. In this study, we redefined obesity according to the Chinese criteria and examined the relationship between obesity and in-hospital mortality in patients with acute type A aortic dissection (AAD) undergoing open surgical repair.

Materials and Methods

A total of 289 patients with AAD (between 2014 and 2016) were divided into the non-obese group and obese group for correlation analysis, general information, demographic factors, blood biochemistry, surgical details, and complications, which were used as covariates. Survival was estimated by the Kaplan–Meier method, and any differences in survival were evaluated with a stratified log-rank test. Least Absolute Shrinkage and Selection Operator (LASSO) regression and logistic regression were used to evaluate the effect and interaction of obesity on surgical mortality.

Results

All the 289 patients had a mean age of 48.64 (IQR 44.00–55.00) and 74.39% were men. Of the 289 patients, 228 were non-obese (78.89%) and 61 were obese (21.11%). Patients with obesity were younger and more prone to unstable blood pressure [systolic blood pressure (SBP) and diastolic blood pressure (DBP)], preoperative hypoxemia and delirium, prolonged operative time, and surgical wound deep infection (p < 0.05). In the fully adjusted model, we observed an increased risk of in-hospital mortality in patients with obesity after fine-tuning other covariates including age and sex (HR = 2.65; 95% CI = 1.03 to 6.80; p = 0.042). The interaction suggested that obesity was more likely to cause death in elderly patients (age ≥ 60), although it was more common in younger patients (test for interaction, p = 0.012).

Conclusion

Obesity, interacting with age, increases the risk of in-hospital mortality in patients with AAD undergoing open surgical repair. Although more verification is needed, we believe these findings provide further evidence for the treatment of AAD.

Cardiovascular disease, mortality, and their associations with modifiable risk factors in a multi-national South Asia cohort: a PURE substudy

AIM

To examine the incidence of cardiovascular disease (CVD), of death, and the comparative effects of 12 common modifiable risk factors for both outcomes in South Asia.

METHODS AND RESULTS

Prospective study of 33 583 individuals 35-70 years of age from India, Bangladesh, or Pakistan. Mean follow-up period was 11 years. Age and sex adjusted incidence of a CVD event and mortality rates were calculated for the overall cohort, by urban or rural location, by sex, and by country. For each outcome, mutually adjusted population attributable fractions (PAFs) were calculated in 32 611 individuals without prior CVD to compare risks associated with four metabolic risk factors (hypertension, diabetes, abdominal obesity, high non-HDL cholesterol), four behavioural risk factors (tobacco use, alcohol use, diet quality, physical activity), education, household air pollution, strength, and depression. Hazard ratios were calculated using Cox regression models, and average PAFs were calculated for each risk factor or groups of risk factors. Cardiovascular disease was the most common cause of death (35.5%) in South Asia. Rural areas had a higher incidence of CVD (5.41 vs. 4.73 per 1000 person-years) and a higher mortality rate (10.27 vs. 6.56 per 1000 person-years) compared with urban areas. Males had a higher incidence of CVD (6.42 vs. 3.91 per 1000 person-years) and a higher mortality rate (10.66 vs. 6.85 per 1000 person-years) compared with females. Between countries, CVD incidence was highest in Bangladesh, while the mortality rate was highest in Pakistan. The modifiable risk factors studied contributed to approximately 64% of the PAF for CVD and 69% of the PAF for death. Largest PAFs for CVD were attributable to hypertension (13.1%), high non-HDL cholesterol (11.1%), diabetes (8.9%), low education (7.7%), abdominal obesity (6.9%), and household air pollution (6.1%). Largest PAFs for death were attributable to low education (18.9%), low strength (14.6%), poor diet (6.4%), diabetes (5.8%), tobacco use (5.8%), and hypertension (5.5%).

CONCLUSION

In South Asia, both CVD and deaths are highest in rural areas and among men. Reducing CVD and premature mortality in the region will require investment in policies that target a broad range of health determinants.

Impact of Body Mass Index and Sarcopenia on Short- and Long-Term Outcomes After Esophageal Cancer Surgery: An Observational Study

BACKGROUND

The effects of specific body mass index (BMI) category and sarcopenia within each BMI category on outcomes in patients undergoing esophageal surgery with esophageal squamous cell carcinoma have not been thoroughly examined.

METHODS

This study included 1141 patients. Sarcopenia was determined with a total psoas muscle cross-sectional area at the level of the third lumbar vertebra in computed tomography. The outcomes were long-term survival, including overall survival (OS) and recurrence-free survival (RFS), and postoperative complications.

RESULTS

The overweight and no sarcopenia group was considered as the reference. After adjusting covariates, the underweight and the normal weight and sarcopenia groups both showed worse OS (underweight group: hazard ratio [HR] 2.04, 95% confidence interval [CI] 1.33-3.13, p = 0.001; normal weight and sarcopenia group: HR 1.93, 95% CI 1.39-2.69, p < 0.001) and worse RFS (underweight group: HR 1.78, 95% CI 1.19-2.67, p = 0.005; normal weight and sarcopenia group: HR 1.70, 95% CI 1.25-2.30, p = 0.001). In addition, the underweight group (odds ratio [OR] 4.74, 95% CI 2.05-10.96, p < 0.001), the normal weight and sarcopenia group (OR 3.26, 95% CI 1.60-6.62, p = 0.001), the overweight and sarcopenia group (OR 2.54, 95% CI 1.14-5.68, p = 0.023), and the obese and no sarcopenia group (OR 2.44, 95% CI 1.14-5.22, p = 0.021) were at significantly higher risk of postoperative 30-day composite complications.

CONCLUSIONS

Compared with the overweight and no sarcopenia group, the underweight and the normal weight and sarcopenia groups were associated with worse short- and long-term outcomes.

Cardiovascular Disease Risk Modeling for Astronauts: Making the Leap From Earth to Space

NASA has recently completed several long-duration missions to the International Space Station and is solidifying plans to return to the Moon, with an eye toward Mars and beyond. As NASA pushes the boundaries of human space exploration, the hazards of spaceflight, including space radiation, levy an increasing burden on astronaut health and performance. The cardiovascular system may be especially vulnerable due to the combined impacts of space radiation exposure, lack of gravity, and other spaceflight hazards. On Earth, the risk for cardiovascular disease (CVD) following moderate to high radiation doses is well-established from clinical, environmental, and occupational exposures (largely from gamma- and x-rays). Less is known about CVD risks associated with high-energy charged ions found in space and increasingly used in radiotherapy applications on Earth, making this a critical area of investigation for occupational radiation protection. Assessing CVD risk is complicated by its multifactorial nature, where an individual's risk is strongly influenced by factors such as family history, blood pressure, and lipid profiles. These known risk factors provide the basis for development of a variety of clinical risk prediction models (CPMs) that inform the likelihood of medical outcomes over a defined period. These tools improve clinical decision-making, personalize care, and support primary prevention of CVD. They may also be useful for individualizing risk estimates for CVD following radiation exposure both in the clinic and in space. In this review, we summarize unique aspects of radiation risk assessment for astronauts, and we evaluate the most widely used CVD CPMs for their use in NASA radiation risk assessment applications. We describe a comprehensive dual-use risk assessment framework that supports both clinical care and operational management of space radiation health risks using quantitative metrics. This approach is a first step in using personalized medicine for radiation risk assessment to support safe and productive spaceflight and long-term quality of life for NASA astronauts.

Exploration of Black Boxes of Supervised Machine Learning Models: A Demonstration on Development of Predictive Heart Risk Score

Machine learning (ML) often provides applicable high-performance models to facilitate decision-makers in various fields. However, this high performance is achieved at the expense of the interpretability of these models, which has been criticized by practitioners and has become a significant hindrance in their application. Therefore, in highly sensitive decisions, black boxes of ML models are not recommended. We proposed a novel methodology that uses complex supervised ML models and transforms them into simple, interpretable, transparent statistical models. This methodology is like stacking ensemble ML in which the best ML models are used as a base learner to compute relative feature weights. The index of these weights is further used as a single covariate in the simple logistic regression model to estimate the likelihood of an event. We tested this methodology on the primary dataset related to cardiovascular diseases (CVDs), the leading cause of mortalities in recent times. Therefore, early risk assessment is an important dimension that can potentially reduce the burden of CVDs and their related mortality through accurate but interpretable risk prediction models. We developed an artificial neural network and support vector machines based on ML models and transformed them into a simple statistical model and heart risk scores. These simplified models were found transparent, reliable, valid, interpretable, and approximate in predictions. The findings of this study suggest that complex supervised ML models can be efficiently transformed into simple statistical models that can also be validated.

Risk Factors for Coronary Heart Disease Among Lebanese Women: A Case–Control Study

Purpose

Women are increasingly concerned by coronary heart disease (CHD), with peculiarities of their own, particularly concerning risk factors. The aim of the study was to assess the risk factors for CHD in Lebanese women over forty.

Patients and Methods

A case–control study was carried out in 6 hospitals in Beirut and Mount-Lebanon, from December 2018 to December 2019 including 1500 patients (1200 controls and 300 cases). Women were stratified into pre- and post-menopausal groups. Personal and medical data were collected from hospital records and during an interview where validated questionnaires were used. Binary logistic regressions were performed to investigate potential predictors of CHD in the 2 groups.

Results

In post-menopausal women, dyslipidemia (adjusted odds ratio [aOR], 3.018; 95% confidence interval, 2.102–4.332), hypertension (aOR: 2.449, [1.386–4.327]), a family history of CHD (aOR: 2.724, [1.949–3.808]), cigarette smoking (aOR: 2.317, [1.574–3.410]) and common non-rheumatic joint pain (aOR: 1.457, [1.053–2.016]) were strongly associated with CHD. Conversely, living in Mount Lebanon seemed protective, compared to Beirut (aOR: 0.589, [0.406–0.854]), as well as having a moderate monthly income (aOR: 0.450, [0.220–0.923]), adhering to a Mediterranean diet (aOR: 0.965, [0.936–0.994]), and practicing physical activity [PA] (aOR: 0.396, [0.206–0.759] and 0.725, [0.529–0.992], respectively for high and moderate vs low PA). In pre-menopausal women, dyslipidemia (aOR: 6.938, [1.835–26.224]), hypertension (aOR: 6.195, [1.318–29.119]), family histories of dyslipidemia (aOR: 6.143, [1.560–24.191]) and CHD (aOR: 4.739, [1.336–16.805]) reached statistical significance.

Conclusion

The identification of factors associated with CHD in women, some of which are frequent and trivialized in post-menopause, underlines the need to put in place specific and dedicated CHD prevention strategies in women.

Simple cardiovascular risk stratification by replacing total serum cholesterol with anthropometric measures: The MORGAM prospective cohort project

To assess whether anthropometric measures (body mass index [BMI], waist-hip ratio [WHR], and estimated fat mass [EFM]) are independently associated with major adverse cardiovascular events (MACE), and to assess their added prognostic value compared with serum total-cholesterol. The study population comprised 109,509 individuals (53% men) from the MORGAM-Project, aged 19–97 years, without established cardiovascular disease, and not on antihypertensive treatment. While BMI was reported in all, WHR and EFM were reported in ∼52,000 participants. Prognostic importance of anthropometric measurements and total-cholesterol was evaluated using adjusted Cox proportional-hazards regression, logistic regression, area under the receiver-operating-characteristic curve (AUC_ROC), and net reclassification improvement (NRI). The primary endpoint was MACE, a composite of stroke, myocardial infarction, or death from coronary heart disease. Age interacted significantly with anthropometric measures and total-cholesterol on MACE (P ≤ 0.003), and therefore age-stratified analyses (<50 versus ≥ 50 years) were performed. BMI, WHR, EFM, and total-cholesterol were independently associated with MACE (P ≤ 0.003) and resulted in significantly positive NRI when added to age, sex, smoking status, and systolic blood pressure. Only total-cholesterol increased discrimination ability (AUC_ROC difference; P < 0.001). In subjects < 50 years, the prediction model with total-cholesterol was superior to the model including BMI, but not superior to models containing WHR or EFM, while in those ≥ 50 years, the model with total-cholesterol was superior to all models containing anthropometric variables, whether assessed individually or combined. We found a potential role for replacing total-cholesterol with anthropometric measures for MACE-prediction among individuals < 50 years when laboratory measurements are unavailable, but not among those ≥ 50 years.

Understanding factors influencing uptake of healthy lifestyle practices among adults following a community cardiovascular disease prevention programme in Mukono and Buikwe districts in Uganda: A qualitative study

Introduction

Healthy lifestyle practices including physical activity, healthy diets, non-smoking, reduced alcohol consumption and stress reduction are important in the prevention of metabollic CVD risk factors such as hypertension, overweight and obesity, diabetes and hyperlipidaemia. Owing to current lifestyle changes, the increasing burden of CVD and importance of healthy behaviours, the need for strategies to increase uptake of healthy lifestyles among sub-Saharan African populations are apparent. This study explored the factors influencing uptake of healthy lifestyle practices among adults following implementation of a community CVD prevention programme.

Methods

This was a descriptive qualitative study conducted among purposively selected adults who had engaged in a community CVD prevention programme. Data were collected using in-depth interviews, which were audio recorded and transcribed verbatim. Study transcripts were read into NVIVO 12.6 software for coding and analysis guided by thematic analysis following the semantic approach.

Results

This study found variations in uptake of healthy lifestyle practices for CVD prevention with most changes reported for dietary behaviour especially in vegetable and fruit intake, reduction of salt intake and fats and oils consumption. Changes in physical activity were also notable. On the other hand, participants were slow in making changes in alcohol consumption, smoking behaviours and stress reduction. The barriers to uptake of healthy lifestyle practices were individual such as limited capability or skills, structural such as limited physical activity facilities, and social such as cultural and peer influence. Relatedly, the facilitators of practices uptake were individual including knowledge and personal determination to change, and social including social support from family and the community.

Conclusions

Insights from understanding the uptake of lifestyle practices should guide planning and design of community programmes with an emphasis on removing barriers and strengthening facilitators building on the intermediate motivating factors and considering individual needs and expectations.

Evaluation of Adiposity and Cognitive Function in Adults

IMPORTANCE

Excess adipose tissue increases other cardiovascular risk factors, which may be associated with vascular brain injury and cognitive impairment. However, the extent to which the amount and distribution of adipose tissue may be associated with lower cognitive scores, independent of its association with cardiovascular risk factors, is not well characterized.

OBJECTIVE

To investigate the association of adiposity on vascular brain injury and cognitive scores.

DESIGN, SETTING, AND PARTICIPANTS

A total of 9189 participants from the Canadian Alliance for Healthy Hearts and Minds (CAHHM) and the Prospective Urban Rural Epidemiological-Mind (PURE-MIND) cohort studies were included in this cross-sectional analysis. Of these adults, 9166 underwent bioelectrical impedance analysis to assess body fat (BF) percentage, and 6773 underwent magnetic resonance imaging to assess vascular brain injury and measure visceral adipose tissue (VAT) volume. Participants from CAHHM were recruited from January 1, 2014, to December 31, 2018, and PURE-MIND participants were recruited from January 1, 2010, to December 31, 2018. Both CAHHM and PURE-MIND comprise multisite, population-based cohorts. Participants from CAHHM are from Canada, and PURE-MIND participants are from Canada or Poland. Data analysis was performed from May 3 to November 24, 2021.

EXPOSURES

The percentage of BF and VAT were modeled as sex-specific quartiles. Vascular brain injury was defined as high white matter hyperintensities or silent brain infarction. Multivariable mixed models were used to examine factors associated with reduced cognitive scores.

MAIN OUTCOMES AND MEASURES

Cognitive function was assessed using the Digital Symbol Substitution Test (DSST; scores range from 0 to 133, with lower scores indicating lower cognitive function) and Montreal Cognitive Assessment (scores range from 0 to 30, with a score of ≥26 denoting normal cognitive function). Reduced cognition was defined as a DSST score less than 1 SD below the mean. Cardiovascular risk was assessed using the INTERHEART Risk Score (IHRS; scores range from 0 to 48; low risk is defined as a score of 0 to 9, moderate risk as 10 to 16, and high risk as 17 or higher).

RESULTS

A total of 9189 adults (mean [SD] age, 57.8 [8.8] years; 5179 [56.4%] women; and 1013 [11.0%] East and Southeast Asian; 295 [3.2%] South Asian; 7702 [83.8%] White European; and 179 [1.9%] other, including Black, Indigenous, mixed, and unknown ethnicity) participated in the study. Visceral adipose tissue was highly correlated with body adiposity measured by BF percentage (r = 0.76 in women; r = 0.70 in men). Cardiovascular risk factors increased with increasing BF percentage with the fourth quartile IHRS at 13.8 (95% CI, 13.5-14.0; P < .001 for trend) and with VAT with the fourth quartile IHRS at 13.3 (95% CI, 13.0-13.5; P < .001 for trend). Vascular brain injury increased with increasing BF percentage with the fourth quartile value at 8.6% (95% CI, 7.5%-9.8%; P = .007 for trend) and with increasing VAT with fourth quartile value at 7.2% (95% CI, 6.0-8.4; P = .05 for trend). Cognitive scores were lower with increasing BF percentage with the fourth quartile score of 70.9 (95% CI, 70.4-71.5; P < .001 for trend) and for VAT with the fourth quartile score of 72.8 (95% CI, 72.1-73.4; P < .001 for trend). For every 1-SD increase in BF percentage (9.2%) or VAT (36 mL), the DSST score was lower by 0.8 points (95% CI, 0.4-1.1; P < .001) for BF percentage and lower by 0.8 points (95% CI, 0.4-1.2; P < .001) for VAT, adjusted for cardiovascular risk factors and vascular brain injury. The population attributable risk for reduced DSST score for higher BF percentage was 20.5% (95% CI, 7.0%-33.2%) and for VAT was 19.6% (95% CI, 2.0%-36.0%). Higher BF percentage and VAT were not associated with Montreal Cognitive Assessment scores.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, generalized and visceral adiposity were associated with reduced cognitive scores, after adjustment for cardiovascular risk factors, educational level, and vascular brain injury. These results suggest that strategies to prevent or reduce adiposity may preserve cognitive function.

Dementia Risk Scores and Their Role in the Implementation of Risk Reduction Guidelines

Dementia prevention is a global health priority. In 2019, the World Health Organisation published its first evidence-based guidelines on dementia risk reduction. We are now at the stage where we need effective tools and resources to assess dementia risk and implement these guidelines into policy and practice. In this paper we review dementia risk scores as a means to facilitate this process. Specifically, we (a) discuss the rationale for dementia risk assessment, (b) outline some conceptual and methodological issues to consider when reviewing risk scores, (c) evaluate some dementia risk scores that are currently in use, and (d) provide some comments about future directions. A dementia risk score is a weighted composite of risk factors that reflects the likelihood of an individual developing dementia. In general, dementia risks scores have a wide range of implementations and benefits including providing early identification of individuals at high risk, improving risk perception for patients and physicians, and helping health professionals recommend targeted interventions to improve lifestyle habits to decrease dementia risk. A number of risk scores for dementia have been published, and some are widely used in research and clinical trials e.g., CAIDE, ANU-ADRI, and LIBRA. However, there are some methodological concerns and limitations associated with the use of these risk scores and more research is needed to increase their effectiveness and applicability. Overall, we conclude that, while further refinement of risk scores is underway, there is adequate evidence to use these assessments to implement guidelines on dementia risk reduction.

Second-hand smoking, hypertension and cardiovascular risk: findings from Peru

Background

Second-hand smoking has not been detailedly studied in Peru, where smoking is prohibited in all indoor workplaces, public places, and public transportation. Second-hand smoke exposure may occur at home or any other places. This study aimed to estimate the prevalence of second-hand smoking and assess its association with hypertension and cardiovascular risk in Peru.

Materials and methods

Secondary analysis of a nationally-representative population-based survey including individuals aged 18–59 years. There were two outcomes: hypertension and 10-year cardiovascular risk using the Framingham and the 2019 World Health Organization (WHO) risk scores. The exposure was self-reported second-hand smoking during the 7 days before the survey. The association between second-hand smoking and hypertension was quantified with Poisson models reporting prevalence ratio (PR) and 95% confidence interval (95% CI); the association between second-hand smoking and cardiovascular risk was quantified with linear regressions reporting coefficients and their 95% CI.

Results

Data from 897 individuals, mean age: 38.2 (SD: 11.8) years, and 499 (55.7%) females, were analyzed, with 8.7% subjects reporting second-hand smoking at home and 8.3% at work or any other place. Thus, 144 (15.5%; 95% CI: 12.8%-18.6%) subjects reported any second-hand smoking. In multivariable model second-hand smoking was associated with hypertension (PR = 2.42; 95% CI: 1.25–4.67), and with 1.2% higher Framingham cardiovascular risk, and 0.2% higher 2019 WHO risk score.

Conclusions

There is an association between second-hand smoking and hypertension as well as with cardiovascular risk, and 15% of adults reported second-hand smoke exposure overall with half of them exposed at home. There is a need to guarantee smoking-free places to reduce cardiovascular risk.

Development of Nonlaboratory-Based Risk Prediction Models for Cardiovascular Diseases Using Conventional and Machine Learning Approaches

Criticism of the implementation of existing risk prediction models (RPMs) for cardiovascular diseases (CVDs) in new populations motivates researchers to develop regional models. The predominant usage of laboratory features in these RPMs is also causing reproducibility issues in low–middle-income countries (LMICs). Further, conventional logistic regression analysis (LRA) does not consider non-linear associations and interaction terms in developing these RPMs, which might oversimplify the phenomenon. This study aims to develop alternative machine learning (ML)-based RPMs that may perform better at predicting CVD status using nonlaboratory features in comparison to conventional RPMs. The data was based on a case–control study conducted at the Punjab Institute of Cardiology, Pakistan. Data from 460 subjects, aged between 30 and 76 years, with (1:1) gender-based matching, was collected. We tested various ML models to identify the best model/models considering LRA as a baseline RPM. An artificial neural network and a linear support vector machine outperformed the conventional RPM in the majority of performance matrices. The predictive accuracies of the best performed ML-based RPMs were between 80.86 and 81.09% and were found to be higher than 79.56% for the baseline RPM. The discriminating capabilities of the ML-based RPMs were also comparable to baseline RPMs. Further, ML-based RPMs identified substantially different orders of features as compared to baseline RPM. This study concludes that nonlaboratory feature-based RPMs can be a good choice for early risk assessment of CVDs in LMICs. ML-based RPMs can identify better order of features as compared to the conventional approach, which subsequently provided models with improved prognostic capabilities.

A newly developed and externally validated non-clinical score accurately predicts 10-year cardiovascular disease risk in the general adult population

Inclusion of clinical parameters limits the application of most cardiovascular disease (CVD) prediction models to clinical settings. We developed and externally validated a non-clinical CVD risk score with a clinical extension and compared the performance to established CVD risk scores. We derived the scores predicting CVD (non-fatal and fatal myocardial infarction and stroke) in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort (n = 25,992, cases = 683) using competing risk models and externally validated in EPIC-Heidelberg (n = 23,529, cases = 692). Performance was assessed by C-indices, calibration plots, and expected-to-observed ratios and compared to a non-clinical model, the Pooled Cohort Equation, Framingham CVD Risk Scores (FRS), PROCAM scores, and the Systematic Coronary Risk Evaluation (SCORE). Our non-clinical score included age, gender, waist circumference, smoking, hypertension, type 2 diabetes, CVD family history, and dietary parameters. C-indices consistently indicated good discrimination (EPIC-Potsdam 0.786, EPIC-Heidelberg 0.762) comparable to established clinical scores (thereof highest, FRS: EPIC-Potsdam 0.781, EPIC-Heidelberg 0.764). Additional clinical parameters slightly improved discrimination (EPIC-Potsdam 0.796, EPIC-Heidelberg 0.769). Calibration plots indicated very good calibration with minor overestimation in the highest decile of predicted risk. The developed non-clinical 10-year CVD risk score shows comparable discrimination to established clinical scores, allowing assessment of individual CVD risk in physician-independent settings.

Prediction of first cardiovascular disease event in 2.9 million individuals using Danish administrative healthcare data: a nationwide, registry-based derivation and validation study

Aims

The aim of this study was to derive and validate a risk prediction model with nationwide coverage to predict the individual and population-level risk of cardiovascular disease (CVD).

Methods and results

All 2.98 million Danish residents aged 30–85 years free of CVD were included on 1 January 2014 and followed through 31 December 2018 using nationwide administrative healthcare registries. Model predictors and outcome were pre-specified. Predictors were age, sex, education, use of antithrombotic, blood pressure-lowering, glucose-lowering, or lipid-lowering drugs, and a smoking proxy of smoking-cessation drug use or chronic obstructive pulmonary disease. Outcome was 5-year risk of first CVD event, a combination of ischaemic heart disease, heart failure, peripheral artery disease, stroke, or cardiovascular death. Predictions were computed using cause-specific Cox regression models. The final model fitted in the full data was internally-externally validated in each Danish Region. The model was well-calibrated in all regions. Area under the receiver operating characteristic curve (AUC) and Brier scores ranged from 76.3% to 79.6% and 3.3 to 4.4. The model was superior to an age-sex benchmark model with differences in AUC and Brier scores ranging from 1.2% to 1.5% and −0.02 to −0.03. Average predicted risks in each Danish municipality ranged from 2.8% to 5.9%. Predicted risks for a 66-year old ranged from 2.6% to 25.3%. Personalized predicted risks across ages 30–85 were presented in an online calculator (https://hjerteforeningen.shinyapps.io/cvd-risk-manuscript/).

Conclusion

A CVD risk prediction model based solely on nationwide administrative registry data provided accurate prediction of personal and population-level 5-year first CVD event risk in the Danish population. This may inform clinical and public health primary prevention efforts.

Associations of exposure to secondhand smoke with hypertension risk and blood pressure values in adults

Background

The effects of environmental chemical exposure on blood pressure (BP) have been confirmed, but the association between exposure to secondhand smoke (SHS) and hypertension risk and BP in the general population remains unknown.

Methods

Cross-sectional associations between SHS exposure and hypertension risk and BP values were evaluated using data for subjects who participated in the National Health and Nutrition Examination Survey (NHANES), 1999–2016. Logistic regression and linear regression were performed after adjusting for age, sex, race, alcohol consumption, poverty-to-income ratio (PIR), body mass index (BMI), estimated glomerular filtration rate, physical activity, diabetes, cardiovascular disease, and NHANES cycle. Restricted cubic spline models were created to display the potential nonlinear association between SHS and BP levels.

Results

Higher risk of hypertension was found at the highest SHS concentrations (OR = 1.13, 95% CI 1.04, 1.24, P for trend = 0.007). Additionally, SHS exposure had a strong positive association with systolic blood pressure (SBP) but was negatively associated with diastolic blood pressure (DBP). Furthermore, the nonlinear model result showed a significant association between SHS and SBP (P = 0.017); however, the nonlinear model result was not significant for SHS or DBP.

Conclusions

Our results suggest a potential association between high SHS exposure and the risk of hypertension. Further research is needed to elucidate the underlying mechanisms.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12199-021-01009-0.

Positive psychology in health care: defining key stakeholders and their roles

Lifestyle-related diseases have common risk factors: physical inactivity, poor diet, inadequate sleep, high stress, substance use, and social isolation. Evidence is mounting for the benefits of incorporating effective methods that promote healthy lifestyle habits into routine health care treatments. Research has established that healthy habits foster psychological and physiological health and that emotional well-being is central to achieving total well-being. The Happiness Science and Positive Health Committee of the American College of Lifestyle Medicine aims to raise awareness about strategies for prioritizing emotional well-being. The Committee advocates for collaborative translational research to adapt the positive psychology and behavioral medicine evidence base into methodologies that address emotional well-being in nonmental health care settings. Another aim is to promote health system changes that integrate evidence-based positive-psychology interventions into health maintenance and treatment plans. Also, the Committee seeks to ameliorate health provider burnout through the application of positive psychology methods for providers' personal health. The American College of Lifestyle Medicine and Dell Medical School held an inaugural Summit on Happiness Science in Health Care in May 2018. The Summit participants recommended research, policy, and practice innovations to promote total well-being via lifestyle changes that bolster emotional well-being. These recommendations urge stakeholder collaboration to facilitate translational research for health care settings and to standardize terms, measures, and clinical approaches for implementing positive psychology interventions. Sample aims of joint collaboration include developing evidence-based, practical, low-cost behavioral and emotional assessment and monitoring tools; grants to encourage dissemination of pilot initiatives; medical record dashboards with emotional well-being and related aspects of mental health as vital signs; clinical best practices for health care teams; and automated behavioral programs to extend clinician time. However, a few simple steps for prioritizing emotional well-being can be implemented by stakeholders in the near-term.

A Novel Afrocentric Stroke Risk Assessment Score: Models from the Siren Study

BACKGROUND

Stroke risk can be quantified using risk factors whose effect sizes vary by geography and race. No stroke risk assessment tool exists to estimate aggregate stroke risk for indigenous African.

OBJECTIVES

To develop Afrocentric risk-scoring models for stroke occurrence.

MATERIALS AND METHODS

We evaluated 3533 radiologically confirmed West African stroke cases paired 1:1 with age-, and sex-matched stroke-free controls in the SIREN study. The 7,066 subjects were randomly split into a training and testing set at the ratio of 85:15. Conditional logistic regression models were constructed by including 17 putative factors linked to stroke occurrence using the training set. Significant risk factors were assigned constant and standardized statistical weights based on regression coefficients (β) to develop an additive risk scoring system on a scale of 0-100%. Using the testing set, Receiver Operating Characteristics (ROC) curves were constructed to obtain a total score to serve as cut-off to discriminate between cases and controls. We calculated sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) at this cut-off.

RESULTS

For stroke occurrence, we identified 15 traditional vascular factors. Cohen's kappa for validity was maximal at a total risk score of 56% using both statistical weighting approaches to risk quantification and in both datasets. The risk score had a predictive accuracy of 76% (95%CI: 74-79%), sensitivity of 80.3%, specificity of 63.0%, PPV of 68.5% and NPV of 76.2% in the test dataset. For ischemic strokes, 12 risk factors had predictive accuracy of 78% (95%CI: 74-81%). For hemorrhagic strokes, 7 factors had a predictive accuracy of 79% (95%CI: 73-84%).

CONCLUSIONS

The SIREN models quantify aggregate stroke risk in indigenous West Africans with good accuracy. Prospective studies are needed to validate this instrument for stroke prevention.

NT-proBNP versus routine clinical risk factors as a predictor of cardiovascular events or death in people with dysglycemia - A brief report from the ORIGIN trial

In patients with diabetes and cardiovascular or renal comorbidities, circulating levels of the N-terminal fragment of prohormone B-type natriuretic peptide (NT-proBNP) have similar discriminatory ability as multivariate models for prediction of cardiovascular events or death. We validated this finding in patients with dysglycemia not selected for co-existing cardiorenal diseases.

Evaluation of cardiometabolic profile in Health Professionals of Latin America

OBJECTIVE

To evaluate presence of risk factors for cardiovascular diseases (CVD) and type 2 diabetes mellitus (DM2) in a group of health care workers.

METHODS

During the X Latin American Congress of Internal Medicine held in August 2017, in Cartagena, Colombia, attendees were invited to participate in the study that included a survey on medical, pharmacological and family history, lifestyle habits, blood pressure measurement, anthropometry, muscle strength and laboratory studies. The INTERHEART and FINDRISC scales were used to calculate the risk of CVD and diabetes, respectively.

RESULTS

Among 186 participants with an average age of 37.9 years, 94% physicians (52.7% specialists), the prevalence of hypertension was 20.4%, overweight 40.3%, obesity 19.9%, and dyslipidemia 67.3%. 20.9% were current smokers or had smoked, and 60.8% were sedentary. Hypertensive patients were found to be older, had higher Body Mass Index (BMI), higher waist circumference, higher waist-to-hip ratio, higher of body fat and visceral fat, smoked more and had lower muscle strength (high jump: 0.38 vs. 0.42̊cm; p̊=̊0.01). In 44.3% of participants was observed a high-risk score for CVD. The prevalence of diabetes was 6.59% and 27.7% were at risk.

CONCLUSION

The prevalence of risk factors for CVD among the Latin American physicians studied was similar to that reported in the general population. The prevalence of high-risk scores for CVD and DM2 was high and healthy lifestyle habits were low. It is necessary to improve adherence to healthy lifestyles among these physicians in charge of controlling these factors in the general population.

Cardiovascular risk scoring and magnetic resonance imaging detected subclinical cerebrovascular disease

Aims 

Cardiovascular risk factors are used for risk stratification in primary prevention. We sought to determine if simple cardiac risk scores are associated with magnetic resonance imaging (MRI)-detected subclinical cerebrovascular disease including carotid wall volume (CWV), carotid intraplaque haemorrhage (IPH), and silent brain infarction (SBI).

Methods and results

A total of 7594 adults with no history of cardiovascular disease (CVD) underwent risk factor assessment and a non-contrast enhanced MRI of the carotid arteries and brain using a standardized protocol in a population-based cohort recruited between 2014 and 2018. The non-lab-based INTERHEART risk score (IHRS) was calculated in all participants; the Framingham Risk Score was calculated in a subset who provided blood samples (n = 3889). The association between these risk scores and MRI measures of CWV, carotid IPH, and SBI was determined. The mean age of the cohort was 58 (8.9) years, 55% were women. Each 5-point increase (∼1 SD) in the IHRS was associated with a 9 mm³ increase in CWV, adjusted for sex (P < 0.0001), a 23% increase in IPH [95% confidence interval (CI) 9–38%], and a 32% (95% CI 20–45%) increase in SBI. These associations were consistent for lacunar and non-lacunar brain infarction. The Framingham Risk Score was also significantly associated with CWV, IPH, and SBI. CWV was additive and independent to the risk scores in its association with IPH and SBI.

Conclusion 

Simple cardiovascular risk scores are significantly associated with the presence of MRI-detected subclinical cerebrovascular disease, including CWV, IPH, and SBI in an adult population without known clinical CVD.

Nonclinical Features in Predictive Modeling of Cardiovascular Diseases: A Machine Learning Approach

BACKGROUND

In the broader healthcare domain, the prediction bears more value than an explanation considering the cost of delays in its services. There are various risk prediction models for cardiovascular diseases (CVDs) in the literature for early risk assessment. However, the substantial increase in CVDs-related mortality is challenging global health systems, especially in developing countries. This situation allows researchers to improve CVDs prediction models using new features and risk computing methods. This study aims to assess nonclinical features that can be easily available in any healthcare systems, in predicting CVDs using advanced and flexible machine learning (ML) algorithms.

METHODS

A gender-matched case-control study was conducted in the largest public sector cardiac hospital of Pakistan, and the data of 460 subjects were collected. The dataset comprised of eight nonclinical features. Four supervised ML algorithms were used to train and test the models to predict the CVDs status by considering traditional logistic regression (LR) as the baseline model. The models were validated through the train-test split (70:30) and tenfold cross-validation approaches.

RESULTS

Random forest (RF), a nonlinear ML algorithm, performed better than other ML algorithms and LR. The area under the curve (AUC) of RF was 0.851 and 0.853 in the train-test split and tenfold cross-validation approach, respectively. The nonclinical features yielded an admissible accuracy (minimum 71%) through the LR and ML models, exhibiting its predictive capability in risk estimation.

CONCLUSION

The satisfactory performance of nonclinical features reveals that these features and flexible computational methodologies can reinforce the existing risk prediction models for better healthcare services.

Cardiovascular Risk Misperception and Low Awareness of Familial Hypercholesterolemia in Individuals with Severe Hypercholesterolemia

Fundamento

Indivíduos com hipercolesterolemia grave apresentam alto risco de desenvolver doença cardiovascular aterosclerótica (DCVA). Muitos deles apresentam hipercolesterolemia familiar (HF).

Objetivos

Avaliar, a partir da perspectiva dos pacientes, o nível de conhecimento sobre a hipercolesterolemia grave, especialmente em relação a HF, DCVA, percepção de risco, desempenho do rastreamento em cascata e tratamento de indivíduos participantes de um programa de avaliação periódica de saúde.

Métodos

De um banco de dados de 70.000 brasileiros avaliados entre 2006 e 2016, 1.987 (2,8%) atenderam aos critérios de inclusão (idade ≥ 18 anos e LDL-C ≥ 190 mg/dL ou ≥ 160 mg/dL se sem uso de estatinas ou em terapia com estatinas, respectivamente). Desses, 200 foram aleatoriamente convidados a preencher um questionário extenso. A HF foi diagnosticada em caso de suspeita pelo médico responsável.

Resultados

Embora 97% da amostra (48±9 anos; 16% do sexo feminino; 95% com ensino superior; 88% em prevenção primária; LDL-C 209±47 mg/dL) tenha apresentado hipercolesterolemia grave, apenas 18% e 29,5% se consideravam de alto risco para desenvolver DCVA e relataram saber sua meta recomendada de LDL-C, respectivamente. Em relação à possibilidade de o colesterol alto ser uma doença hereditária, 58% relataram conhecimento sobre o fato; 24,5% (n = 49) já tinham ouvido falar em HF; e apenas 14% (n = 20) foram previamente identificados com suspeita de HF (idade ao diagnóstico de HF: 35±12 anos; 79% e 31% foram diagnosticados com > 30 e > 40 anos, respectivamente). Apenas 2,5% foram submetidos a testes genéticos; 17%, à rastreamento em cascata; e 17% não faziam uso de tratamento farmacológico.

Conclusões

Identificou-se uma importante lacuna na percepção de risco, no controle do colesterol e em aspectos relacionados à HF em indivíduos com hipercolesterolemia grave. (Arq Bras Cardiol. 2021; [online].ahead print, PP.0-0)

Bariatric surgery is associated with reduced admission for aortic dissection: a nationwide case-control analysis

BACKGROUND

Aortic dissection (AD) is an uncommon but life-threatening condition associated with high morbidity and mortality. Hypertension (HTN) and hyperlipidemia (HLD) are common modifiable risk factors.

OBJECTIVES

Since bariatric surgery is associated with remission of obesity-related co-morbidities, we hypothesize that surgical weight loss might be protective against this feared aortic pathology.

SETTING

A cross-sectional analysis was performed using the National Inpatient Sample database from 2010 to 2015.

METHODS

The treatment group included bariatric patients and the control group patients with obesity (body mass index [BMI] ≥ 35kg/m²) without previous bariatric surgery. Analyzed covariates included demographics, co-morbidities, aortic diseases, and AD. A multivariate logistic regression analysis (MLRA) was performed to assess the odds of admission for AD in both groups.

RESULTS

A total of 2,300,845 patients were identified (2,004,804 controls and 296,041 cases). The mean (SEM) age was 54.4 (.05) versus 51.9 (.05) years, for the control and treatment groups, respectively (P < .0001). Bariatric patients posed a significantly lower prevalence of type 2 diabetes (T2D), HTN, HLD, aortic aneurysm, and bicuspid aortic valve (P < .0001) than control subjects. In the control group, 1411 individuals (.070%) had AD, whereas only 94 patients (.032%) in the bariatric surgery group had such diagnosis (P < .0001). The MLRA showed that non-bariatric obese patients had a significantly higher likelihood of suffering from AD (OR = 1.8 [95%CI 1.44-2.29] P < .0001). Considering different age groups, bariatric surgery was found to be less associated with admission for AD for individuals below and above 40 years of age (OR = 2.95 [95%CI 1.09-7.99] P = .0345) and (OR = 1.75 [95%CI 1.38-2.22] P < .0001), respectively.

CONCLUSIONS

Bariatric surgery could be a protective factor against aortic dissection and should be considered in patients with obesity and risk factors for this cardiovascular complication.

Polypill with or without Aspirin in Persons without Cardiovascular Disease

BACKGROUND

A polypill comprising statins, multiple blood-pressure-lowering drugs, and aspirin has been proposed to reduce the risk of cardiovascular disease.

METHODS

Using a 2-by-2-by-2 factorial design, we randomly assigned participants without cardiovascular disease who had an elevated INTERHEART Risk Score to receive a polypill (containing 40 mg of simvastatin, 100 mg of atenolol, 25 mg of hydrochlorothiazide, and 10 mg of ramipril) or placebo daily, aspirin (75 mg) or placebo daily, and vitamin D or placebo monthly. We report here the outcomes for the polypill alone as compared with matching placebo, for aspirin alone as compared with matching placebo, and for the polypill plus aspirin as compared with double placebo. For the polypill-alone and polypill-plus-aspirin comparisons, the primary outcome was death from cardiovascular causes, myocardial infarction, stroke, resuscitated cardiac arrest, heart failure, or revascularization. For the aspirin comparison, the primary outcome was death from cardiovascular causes, myocardial infarction, or stroke. Safety was also assessed.

RESULTS

A total of 5713 participants underwent randomization, and the mean follow-up was 4.6 years. The low-density lipoprotein cholesterol level was lower by approximately 19 mg per deciliter and systolic blood pressure was lower by approximately 5.8 mm Hg with the polypill and with combination therapy than with placebo. The primary outcome for the polypill comparison occurred in 126 participants (4.4%) in the polypill group and in 157 (5.5%) in the placebo group (hazard ratio, 0.79; 95% confidence interval [CI], 0.63 to 1.00). The primary outcome for the aspirin comparison occurred in 116 participants (4.1%) in the aspirin group and in 134 (4.7%) in the placebo group (hazard ratio, 0.86; 95% CI, 0.67 to 1.10). The primary outcome for the polypill-plus-aspirin comparison occurred in 59 participants (4.1%) in the combined-treatment group and in 83 (5.8%) in the double-placebo group (hazard ratio, 0.69; 95% CI, 0.50 to 0.97). The incidence of hypotension or dizziness was higher in groups that received the polypill than in their respective placebo groups.

CONCLUSIONS

Combined treatment with a polypill plus aspirin led to a lower incidence of cardiovascular events than did placebo among participants without cardiovascular disease who were at intermediate cardiovascular risk. (Funded by the Wellcome Trust and others; TIPS-3 ClinicalTrials.gov number, NCT01646437.).