Ethnic group differences in cardiovascular risk assessment scores: national cross-sectional study

Ethnic Disparities in Major Adverse Cardiac and Cerebrovascular Events (MACCEs) and Postoperative Outcomes Following Coronary Artery Bypass in Northeastern Iran (2007-2016)

BACKGROUND

Turkmens are an ethnic group mainly living in northeastern Iran. Despite previous studies on coronary artery bypass surgery (CABG) outcomes among different ethnicities, the effect of Turkmen ethnicity on outcomes of CABG surgery is still unknown. We aimed to assess the association between Turkmen ethnicity and postoperative outcomes following CABG.

METHODS

We used the CABG data from two heart centers in northeastern Iran between 2007 and 2016. We included adult patients undergoing CABG surgery. The study outcomes were in-hospital major adverse cardiac and cerebrovascular events (MACCEs), consisting of myocardial infarction (MI), stroke, and cardiovascular death, and postoperative outcomes, including postoperative arrhythmia, acute atrial fibrillation (AF), major bleeding, and acute renal failure (ARF).

RESULTS

Over the course of one decade, 3632 patients, with an average age (standard deviation) of 59.0 (9.8) years, were studied. Of these, 3,331 patients were of non-Turkmen ethnicity, and 301 patients were Turkmens. According to adjusted analysis, ethnicity was not associated with MACCEs (OR: 1.15, 95 % CI: 0.61, 2.16; P=0.663), postoperative arrhythmia (OR: 1.10, 95% CI: 0.78, 1.54; P=0.588), acute AF (OR: 1.17, 95 % CI: 0.83, 1.66; P=0.359), major bleeding (OR: 1.21, 95 % CI: 0.55, 2.67; P=0.636), or ARF (OR: 2.60, 95 % CI: 0.60, 11.75, P=0.224).

CONCLUSION

This study found that despite ethnic disparity and preoperative differences, Turkmen ethnicity was not associated with in-hospital MACCEs, AF, major bleeding, or ARF after coronary artery bypass.

Racial biases in healthcare: Examining the contributions of Point of Care tools and unintended practitioner bias to patient treatment and diagnosis

Sophisticated algorithms are used daily to search through hundreds of medical journals in order to package updated medical insights into commercial databases. Healthcare practitioners can access these searchable databases-called Point of Care (PoC) tools-as downloadable apps on their smartphones or tablets to comprehensively and efficiently inform patient diagnosis and treatment. Because racist biases are unintentionally incorporated into the search reports that the companies generate and that practitioners regularly access, the aim of this article is to examine how healthcare practitioners' "pre-existing" racial stereotypes interact with pithy conclusions about race and ethnicity in PoC tools. I use qualitative research methods (content analysis, discourse analysis, open-ended semi-structured interviews, and role play) to frame the analysis within the Public Health Critical Race Praxis (PHCRP). This approach facilitates an understanding of how biological racism-the use of scientific evidence to support inherent differences between races-that is embedded in PoC algorithms informs a practitioner's assessment of a patient, and converges with persistent racial bias in medical training, medical research and healthcare. I contextualize the study with one semi-structured interview with an Editor of a leading PoC tool, MedScope (pseudonomized), and 10 semi-structured interviews with healthcare practitioners in S.E. Ontario, Canada. The article concludes that PoC tools and practitioners' personal biases contribute to racial prejudices in healthcare provision. This warrants further research on racial bias in medical literature and curriculum design in medical school.

Ethnic differences in the lifestyle behaviors and premature coronary artery disease: a multi-center study

BACKGROUND

Diverse ethnic groups that exist in Iran may differ regarding the risk factors such as hypertension, hyperlipidemia, dyslipidemia, diabetes mellitus, and family history of non-communicable disease. Premature Coronary Artery Disease (PCAD) is more endemic in Iran than before. This study sought to assess the association between ethnicity and lifestyle behaviors in eight major Iranian ethnic groups with PCAD.

METHODS

In this study, 2863 patients aged ≤ 70 for women and ≤ 60 for men who underwent coronary angiography were recruited in a multi-center framework. All the patients' demographic, laboratory, clinical, and risk factor data were retrieved. Eight large ethnicities in Iran, including the Farses, the Kurds, the Turks, the Gilaks, the Arabs, the Lors, the Qashqai, and the Bakhtiari were evaluated for PCAD. Different lifestyle components and having PCAD were compared among the ethnical groups using multivariable modeling.

RESULTS

The mean age of the 2863 patients participated was 55.66 ± 7.70 years. The Fars ethnicity with 1654 people, was the most subject in this study. Family history of more than three chronic diseases (1279 (44.7%) was the most common risk factor. The Turk ethnic group had the highest prevalence of ≥ 3 simultaneous lifestyle-related risk factors (24.3%), and the Bakhtiari ethnic group had the highest prevalence of no lifestyle-related risk factors (20.9%). Adjusted models showed that having all three abnormal lifestyle components increased the risk of PCAD (OR = 2.28, 95% CI: 1.04-1.06). The Arabs had the most chance of getting PCAD among other ethnicities (OR = 2.26, 95%CI: 1.40-3.65). While, the Kurds with a healthy lifestyle showed the lowest chance of getting PCAD (OR = 1.96, 95%CI: 1.05-3.67)).

CONCLUSIONS

This study found there was heterogeneity in having PACD and a diverse distribution in its well-known traditional lifestyle-related risk factors among major Iranian ethnic groups.

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.

Increasing uptake of National Health Service Health Checks in primary care: a pragmatic randomized controlled trial of enhanced invitation letters in Northamptonshire, England

BACKGROUND

Uptake of NHS Health Checks (NHSHCs) is sub-optimal. This study aimed to increase their uptake using behaviourally informed invitation letters.

METHOD

Patients registered with 6 general practices in Northamptonshire, England who were eligible for an NHSHC between 10 February 2014 and 31 January 2015 were randomized monthly, using a random number generator, to three trial arms: control (standard invitation), sunk costs (resources already allocated) and counterargument (against common barriers to attendance). The outcome measure was uptake of NHSHC by 12 weeks after 31 January.

RESULTS

In total, 6331 patients were randomized. After exclusions, due to ineligibility for the NHSHC, data were analysed for N = 6313 patients: N = 2123 control; N = 2085 counterargument; N = 2105 sunk costs. Overall, 2364 (37.45%) patients attended an NHSHC. Both intervention letters increased uptake compared to control, by 5.46% using counterargument (adjusted odds ratio (AOR) 1.32, CI 1.162-1.51, p < 0.001) and 4.33% using sunk costs (AOR 1.246, CI 1.10-1.42, p < 0.001), with no significant difference between the two.

CONCLUSION

Behaviourally informed invitation letters, containing sunk costs or counterargument messages, can improve the uptake of NHSHCs. The trial was registered with the International Standard Randomised Controlled Trial Registration Number Scheme (ISRCTN57110614).

Early-life exposures and cardiovascular disease risk among Ghanaian migrant and home populations: the RODAM study

Early-life environmental and nutritional exposures are considered to contribute to the differences in cardiovascular disease (CVD) burden. Among sub-Saharan African populations, the association between markers of early-life exposures such as leg length and sitting height and CVD risk is yet to be investigated. This study assessed the association between leg length, sitting height, and estimated 10-year atherosclerotic cardiovascular disease (ASCVD) risk among Ghanaian-born populations in Europe and Ghana. We constructed sex-specific quintiles for sitting height and leg length for 3250 participants aged 40-70 years (mean age 52 years; men 39.6%; women 60.4%) in the cross-sectional multicenter Research on Diabetes and Obesity among African Migrants study. Ten-year risk of ASCVD was estimated using the Pooled Cohort Equations; risk ≥7.5% was defined as "elevated" CVD risk. Prevalence ratios (PR) were estimated to determine the associations between sitting height, leg length, and estimated 10-year ASCVD risk. For both men and women, mean sitting height and leg length were highest in Europe and lowest in rural Ghana. Sitting height was inversely associated with 10-year ASCVD risk among all women (PR for 1 standard deviation increase of sitting height: 0.75; 95% confidence interval: 0.67, 0.85). Among men, an inverse association between sitting height and 10-year ASCVD risk was significant on adjustment for study site, adult, and parental education but attenuated when further adjusted for height. No association was found between leg length and estimated 10-year ASCVD risk. Early-life and childhood exposures that influence sitting height could be the important determinants of ASCVD risk in this adult population.

Associations of Public Transportation Use With Cardiometabolic Health: A Systematic Review and Meta-Analysis

Public transportation provides an opportunity to incorporate physical activity into journeys, but potential health impacts have not been systematically examined. We searched the literature for articles on public transportation and health published through December 2017 using Google (Google Inc., Mountain View, California), 5 medical databases, and 1 transportation-related database. We identified longitudinal studies which examined associations between public transportation and cardiometabolic health (including adiposity, type 2 diabetes mellitus, and cardiovascular disease). We assessed study quality using the Newcastle-Ottawa Scale for cohort studies and performed meta-analyses where possible. Ten studies were identified, 7 investigating use of public transportation and 3 examining proximity to public transportation. Seven studies used individual-level data on changes in body mass index (BMI; weight (kg)/height (m)²), with objective outcomes being measured in 6 studies. Study follow-up ranged from 1 year to 10 years, and 3 studies adjusted for nontransportation physical activity. We found a consistent association between use of public transportation and lower BMI. Meta-analysis of data from 5 comparable studies found that switching from automobile use to public transportation was associated with lower BMI (−0.30 units, 95% confidence interval: −0.47, −0.14). Few studies have investigated associations between public transportation use and nonadiposity outcomes. These findings suggest that sustainable urban design which promotes public transportation use may produce modest reductions in population BMI.

Cardiovascular Risk Estimated by UKPDS Risk Engine Algorithm in Diabetes

Since there is a high prevalence of type 2 diabetes mellitus (DM2), as well as CVD in Montenegro, we aimed to estimate CVD risk by United Kingdom Prospective Diabetes Study (UKPDS) risk engine algorithm in individuals with DM2. Furthermore, we aimed to explore whether non-traditional biomarker such as high sensitivity C-reactive protein (hsCRP) is superior for CVD risk prediction over old traditional risk factors. A total of 180 participants with DM2 (of them 50% females) were included in the current cross-sectional study. Biochemical and anthropometric parameters, and blood pressure were obtained. More males than females were classified at high UKPDS risk category (p<0.001). Also, about one third of diabetic patients (29.4%) were classified into the high-risk category. In multivariate regression analysis, triglycerides [Odds ratio (OR) =1.703, p=0.001] and creatinine concentration (OR=1.040, p<0.001) were independent predictors of CVD risk, whereas hsCRP was not correlated with CVD risk. HsCRP is not superior for CVD risk prediction by UKPDS risk engine algorithm over high triglyceride and creatinine levels in diabetic population, which suggests that the old traditional markers must not be underestimated when examining CVD risk in population with diabetes.

Migration and Cardiovascular Disease Risk Among Ghanaian Populations in Europe: The RODAM Study (Research on Obesity and Diabetes Among African Migrants)

BACKGROUND

For migrant populations from sub-Saharan Africa, adverse cardiovascular disease (CVD) risk factors have been observed to be higher than found in their home country-based counterparts or among the host populations in high-income countries. Differences in absolute overall CVD risk, however, remain largely unexplained. We, therefore, predicted the differences in 10-year CVD risk among sub-Saharan African migrants (Ghanaians) living in 3 European cities and Ghana.

METHODS AND RESULTS

For 3864 subjects aged 40 to 70 years from the multicenter RODAM study (Research on Obesity and Diabetes Among African Migrants) conducted among Ghanaian adults residing in rural and urban Ghana and 3 European cities (Amsterdam, Berlin, and London), 10-year risk of CVD was estimated using the Pooled Cohort Equations with estimates ≥7.5% defining high CVD risk. Logistic regressions were used to determine the association of migration on CVD risk. The proportion with CVD risk ≥7.5% among Ghanaian men was 34.7% in rural Ghana, 45.4% in urban Ghana, 53.9% in Amsterdam, 61.0% in Berlin, and 52.2% in London. Compared with rural Ghana, CVD risk was significantly increased for Ghanaian men living in Berlin (adjusted odds ratio, 2.80; 95% confidence interval, 1.76-4.45) and Amsterdam (1.88; 1.25-2.84). Increased risk observed for men was largely not seen for women. CVD risk increased with longer stay in Europe.

CONCLUSIONS

Knowledge about predictors of increased CVD risk among sub-Saharan African migrants in Europe and nonmigrants in urban centers will inform and support targeted health care and interventions to these populations.

The Impact of Being a Migrant from a Non-English-Speaking Country on Healthcare Outcomes in Frail Older Inpatients: an Australian Study

The purpose of this prospective study of 2180 consecutive index admissions to an acute geriatric service was to compare in-hospital outcomes of frail older inpatients born in non-English-speaking counties, referred to as culturally and linguistically diverse (CALD) countries in Australia, with those born in English-speaking countries. Multivariate logistic regression was used to model in-hospital mortality and new nursing home placement. Multivariate Cox proportional hazards regression was used to model length of stay. The mean age of all patients was 83 years and 93% were admitted through the emergency department. In multivariate analyses, patients from CALD and non-CALD backgrounds were equally likely to die (CALD odds ratio [OR] 0.69, 95% confidence interval [95% CI] 0.44-1.10) and be newly placed in a nursing home (OR 0.75, 95% CI 0.51-1.12). Patients from CALD backgrounds unable to speak English were more likely to die (11.5% vs. 7.2%, p = 0.02). While patients from CALD backgrounds had significantly shorter lengths of stay in univariate analysis (median 9 days vs. 10 days, p = 0.02), this was not apparent in multivariate analysis (hazard ratio 1.02, 95% CI 0.91-1.14), where the ability to speak English proved to be a strong confounder. While most of the literature shows poorer outcomes of people from minority ethnic groups, our findings indicate that this is not necessarily the case. Developing culturally appropriate services may mitigate some of the adverse outcomes commonly associated with ethnicity. Our findings are particularly relevant to countries populated by multiple ethnic groups.

Ethnic Differences in the Risk Factors and Severity of Coronary Artery Disease: a Patient-Based Study in Iran

Background

Diverse ethnic groups may differ regarding the risk factors and severity of coronary artery disease (CAD). This study sought to assess the association between ethnicity and CAD risk and severity in six major Iranian ethnic groups.

Methods

In this study, 20,165 documented coronary artery disease patients who underwent coronary angiography at a tertiary referral heart center were recruited. The demographic, laboratory, clinical, and risk factor data of all the patients were retrieved. The Gensini score (an indicator of CAD severity) was calculated for all, and the risk factors and severity of CAD were compared between the ethnical groups, using adjusted standardized residuals, Kruskal–Wallis test, and multivariable regression analysis.

Results

The mean age of the participants (14,131 [70.1%] men and 6034 [29.9%] women) was 60.7 ± 10.8 years. The Fars (8.7%) and Gilak (8.6%) ethnic groups had the highest prevalence of ≥4 simultaneous risk factors. The mean Gensini score was the highest for the Gilaks (77.1 ± 55.9) and the lowest among the Lors (67.5 ± 52.8). The multivariable regression analysis showed that the Gilaks had the worst severity (β 0.056, 95% CI 0.009 to 0.102; P = 0.018), followed by the Torks (β 0.032, 95% CI 0.005 to 0.059; P = 0.020). Meanwhile, the Lors showed the lowest severity (β −0.087, 95% CI −0.146 to −0.027; P = 0.004).

Conclusions

This study found that there was heterogeneity in CAD severity and a diverse distribution in its well-known traditional risk factors among major Iranian ethnic groups.

Risk factor control in secondary prevention of cardiovascular disease: results from the multi-ethnic HELIUS study

OBJECTIVE

To evaluate the quality of contemporary secondary prevention of cardiovascular disease (CVD), and the differences between six ethnic groups in a large, observational cohort.

DESIGN

We included participants with a self-reported history of CVD from the HEalthy LIfe in an Urban Setting (HELIUS) study, which investigates inequalities in health between six ethnic groups living in Amsterdam, the Netherlands. We quantified the proportions of patients who were at the preventive treatment goal according to the guidelines of the European Society of Cardiology for six risk factors: hypertension, dyslipidaemia, smoking, overweight, physical inactivity and diabetes mellitus, and the use preventive medication.

RESULTS

Of 22,165 participants, 1163 (5%) reported a history of CVD. Mean age was 54 years. Overall, 69% had a systolic blood pressure of <140 mm Hg, and 42% had a low-density lipoprotein (LDL) cholesterol of <2.5 mmol/l. Non-smoking was found in 67%. Body mass index (BMI) <25 kg/m² was found in 24%, and 54% reported adequate physical activity. The mean number of risk factors per patient was three (±1.1) out of six, and only 2% had all risk factors on target. Across the ethnic groups, non-smoking was more prevalent in the Ghanaian and Moroccan groups than in the Dutch (p < 0.001 and p = 0.001, respectively); BMI <25 kg/m² and adequate physical activity were less prevalent among all ethnic minority groups compared with the Dutch group.

CONCLUSION

We found large treatment gaps in secondary prevention of CVD. Ethnic differences in risk factors were found; however, strategies to improve overall risk factor management may be mandated before designing ethnic-specific strategies.

Consensus clinical recommendations for the management of plasma lipid disorders in the Middle East

BACKGROUND

Plasma lipid disorders are key risk factors for the development of atherosclerotic cardiovascular disease (ASCVD) and are prevalent in the Middle East, with rates increasing in recent decades. Despite this, no region-specific guidelines for managing plasma lipids exist and there is a lack of use of guidelines developed in other regions.

METHODS

A multidisciplinary panel of regional experts was convened to develop consensus clinical recommendations for the management of plasma lipids in the Middle East. The panel considered existing international guidelines and regional clinical experience to develop recommendations.

RESULTS

The panel's recommendations include plasma lipid screening, ASCVD risk calculation and treatment considerations. The panel recommend that plasma lipid levels should be measured in all at-risk patients and at regular intervals in all adults from the age of 20years. A scoring system should be used to calculate ASCVD risk that includes known lipid and non-lipid risk factors. Primary treatment targets include low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol. Lifestyle modifications should be first-line treatment for all patients; the first-line pharmacological treatment targeting plasma lipids in patients at moderate-to-high risk of ASCVD is statin therapy, with a number of adjunctive or second-line agents available. Guidance is also provided on the management of underlying conditions and special populations; of particular pertinence in the region are familial hypercholesterolaemia, diabetes and metabolic dyslipidaemia.

CONCLUSIONS

These consensus clinical recommendations provide practicing clinicians with comprehensive, region-specific guidance to improve the detection and management of plasma lipid disorders in patients in the Middle East.

High muscular fitness has a powerful protective cardiometabolic effect in adults: influence of weight status

BACKGROUND

Low levels of muscular fitness (MF) are recognized as an important marker of nutritional status and a predictor of metabolic complications, cardiovascular disease and death, however, the relationship between MF, body mass index (BMI) and the subsequent cardiometabolic protective effects has been less studied among Latin American populations. This study identified an association between MF and the cardiometabolic risk score index (CMRSI) and the lipid-metabolic cardiovascular risk index (LMCRI) in a wide sample of university students grouped according to their BMI.

METHODS

Six thousand ninety five healthy males (29.6 ± 11.7 year-old) participated in the study. Absolute strength was measured using a T.K.K. analogue dynamometer (handgrip), and the participant's strength was then calculated relative to their body mass (MF/BM). The LMCRI was derived from the levels of triglycerides, low-density lipoprotein cholesterol (LDL-c), high-density lipoprotein cholesterol (HDL-c), and glucose levels in a blood sample. The CMRSI was calculated by summing the standardized residuals (z-score) for waist circumference, total cholesterol, LDL-c, triglycerides, HDL-c, and median blood pressure. Subjects were divided into six subgroups according to BMI (normal vs. overweight/obese) and MF/BM tertiles (unfit, average, fit).

RESULTS

The group of participants with low and moderate levels of MF/BM showed higher CMRSI values independent of BMI (P < 0.001). The group with normal BMI and high MF/BM had the highest levels of cardiometabolic protection. All overweight/obese BMI groups had significantly higher LMCRI values independent of the level of MF/BM (P < 0.001).

CONCLUSIONS

Participants with high MF/BM showed reduced cardiometabolic risk, which increased significantly when they were within normal parameters.

Bioelectrical Impedance Vector Analysis and Muscular Fitness in Healthy Men

Muscle strength can define the general muscular fitness (MF) measurable through hand-grip strength (HG), which is a factor that relates to the health of people of different ages. In this study we evaluated the muscle strength together with a bioimpedance electric analysis in 223 healthy Colombian adult subjects. The bioelectrical impedance vector analysis (BIVA) was conducted to determine the resistance (R), reactance (Xc) and phase angle (PhA). We classified the subjects into three groups (for tertiles), obtaining lower values of R and Xc in subjects with lower HG, plus a high correlation between PhA and HG. An increase in the level of PhA is associated with a high level of MF in a sample of healthy Latin American adult men. The BIVA's parameters and PhA are a potentially effective preventive measure to be integrated into routine screening in the clinical setting.

Cardiovascular risk assessment in type 2 diabetes mellitus: comparison of the World Health Organization/International Society of Hypertension risk prediction charts versus UK Prospective Diabetes Study risk engine

INTRODUCTION

Patients with type 2 diabetes mellitus (T2DM) are at higher risk of developing cardiovascular diseases, and assessment of their cardiac risk is important for preventive strategies.

PURPOSE

The Ministry of Health of Sri Lanka has recommended World Health Organization/International Society of Hypertension (WHO/ISH) charts for cardiac risk assessment in individuals with T2DM. However, the most suitable cardiac risk assessment tool for Sri Lankans with T2DM has not been studied. This study was designed to evaluate the performance of two cardiac risk assessments tools; WHO/ISH charts and UK Prospective Diabetes Study (UKPDS) risk engine.

METHODS

Cardiac risk assessments were done in 2,432 patients with T2DM attending a diabetes clinic in Southern Sri Lanka using the two risk assessment tools. Validity of two assessment tools was further assessed by their ability to recognize individuals with raised low-density lipoprotein (LDL) and raised diastolic blood pressure in a cohort of newly diagnosed T2DM patients (n=332).

RESULTS

WHO/ISH charts identified 78.4% of subjects as low cardiac risk whereas the UKPDS risk engine categorized 52.3% as low cardiac risk (P<0.001). In the risk categories of 10%-<20%, the UKPDS risk engine identified higher proportions of patients (28%) compared to WHO/ISH charts (7%). Approximately 6% of subjects were classified as low cardiac risk (<10%) by WHO/ISH when UKPDS recognized them as cardiac risk of >20%. Agreement between the two tools was poor (κ value =0.144, P<0.01). Approximately 82% of individuals categorized as low cardiac risk by WHO/ISH had higher LDL cholesterol than the therapeutic target of 100 mg/dL.

CONCLUSION

There is a significant discrepancy between the two assessment tools with WHO/ISH risk chart recognizing higher proportions of patients having low cardiac risk than the UKPDS risk engine. Risk assessment by both assessment tools demonstrated poor sensitivity in identifying those with treatable levels of LDL cholesterol and diastolic blood pressure.

Management of Coronary Artery Disease in South Asian Populations: Why and How to Prevent and Treat Differently

The South Asian (SA) population constitutes one of the largest ethnic groups in the world. Several studies that compared host and migrant populations around the world indicate that SAs have a higher risk of developing cardiovascular disease (CVD) than their native-born counterparts. Herein, we review the literature to address the role of the screening tools, scoring systems, and guidelines for primary, secondary, and tertiary prevention in these populations. Management based on screening for the CVD risk factors in a high-risk population such as SAs can improve health care outcomes. There are many scoring tools for calculating 10-year CVD risk; however, each scoring system has its limitations in this particular ethnicity. Further work is needed to establish a unique scoring and guidelines in SAs.

Evaluation of a programme in population health management for GP trainees

OBJECTIVES

There is an increasing focus on improving outcomes for populations. General practice has a key role to play in achieving better patient outcomes. A programme in population health management was developed for GP trainees in their fourth year. The objective was to evaluate this educational intervention for impact upon learners, and lessons learned in the delivery of this innovative programme.

METHODS

The evaluation approach combined qualitative and quantitative approaches involving GP trainees, GP trainers, and faculty.

RESULTS

Involvement in the programme had a positive impact upon trainees' knowledge of population health management, developed transferable skills, and encouraged a shift in mindset to considering the needs of a practice population. The impact upon patients and practices is also described. Lessons learned for enhancing the programme are explained.

CONCLUSIONS

Encouraging GP trainees to become involved with population health has significant benefits for their professional development. The Royal College of General Practitioners (RCGP) curriculum should consider incorporating population health competencies.

Association of 10-year and lifetime predicted cardiovascular disease risk with subclinical atherosclerosis in South Asians: findings from the Mediators of Atherosclerosis in South Asians Living in America (MASALA) study

Background

Ten‐year and lifetime cardiovascular risk assessment algorithms have been adopted into atherosclerotic cardiovascular disease (ASCVD) prevention guidelines, but these prediction models are not based on South Asian populations and may underestimate the risk in Indians, Pakistanis, Bangladeshis, Nepali, and Sri Lankans in the United States. Little is known about ASCVD risk prediction and intermediate endpoints such as subclinical atherosclerosis in US individuals of South Asian ancestry.

Methods and Results

South Asians (n=893) from the Mediators of Atherosclerosis in South Asians Living in America (MASALA) study who were 40 to 79 years and free of ASCVD were included. Ten‐year ASCVD predicted risk was calculated using the 2013 Pooled Cohort Equations. Lifetime predicted risk was based on risk factor burden. Baseline levels of subclinical atherosclerosis (coronary artery calcium [CAC] and carotid intima media thickness [CIMT]) were compared across 10‐year and lifetime risk strata: (1) high (≥7.5%) 10‐year and low (<7.5%) 10‐year risk; (2) high (≥39%) lifetime and low (<39%) lifetime risk. South Asian men and women with high 10‐year predicted risk had a significantly greater CAC burden than those with low 10‐year risk. South Asians with high lifetime predicted risk had a significantly increased odds for CAC higher than 0 (odds ratio: men 1.97; 95% CI, 1.2 to 3.2; women 3.14; 95% CI, 1.5, 6.6). Associations between risk strata and CIMT were also present.

Conclusion

This study is the first to provide evidence that contemporary ASCVD risk assessment algorithms derived from non‐Hispanic white and African‐American samples can successfully identify substantial differences in atherosclerotic burden in US South Asians.