Mean 10-year Atherosclerotic Cardiovascular Disease Research Articles

Impact of Race on Classification of Atherosclerotic Risk Using a National Cardiovascular Risk Prediction Tool

The use of race in clinical risk prediction tools may exacerbate racial disparities in healthcare access and outcomes. This study quantified the number of individuals reclassified for primary prevention of cardiovascular disease owing to a change in their race alone on the basis of a commonly used risk prediction tool. This is a cross-sectional analysis of individuals aged 40-75 years without a history of cardiovascular events, diabetes, or other high-risk features using the 2005-2018 National Health and Nutritional Examination Survey. Authors compared atherosclerotic cardiovascular disease risk scores using the American Heart Association/American College of Cardiology equation recommended for White individuals or individuals of other races with that recommended for Black individuals. A total of 2,946 White individuals; 1,361 Black individuals; and 2,495 individuals of other races were included in the analysis. Using the American Heart Association/American College of Cardiology equation, the mean 10-year atherosclerotic cardiovascular disease risk was 5.80% (95% CI=5.54, 6.06) for White individuals, 7.04% (956% CI=6.69, 7.39) for Black individuals, and 4.93% (95% CI=4.61, 5.24) for individuals of other races. When using the American Heart Association/American College of Cardiology equation designated for the opposite race (White/other race versus Black), the mean atherosclerotic cardiovascular disease risk score increased by 1.02% (95% CI=0.90, 1.13) for White individuals, decreased by 1.82% (95% CI= -1.67, -1.96) for Black individuals, and increased by 0.98% (95% CI=0.85, 1.10) for individuals of other races. When using clinical atherosclerotic cardiovascular disease categories of <7.5%, 7.5%-10%, and >10%, 16.93% of all individuals were reclassified when using the American Heart Association/American College of Cardiology's equation designated for the opposite race. Changing race within a commonly used cardiovascular risk prediction tool results in significant changes in risk classification among eligible White and Black individuals in the U.S.

Endothelial function predicts 5-year adverse outcome in patients hospitalized in an emergency department chest pain unit.

Although endothelial function is a marker for cardiovascular risk, endothelial dysfunction assessment is not routinely used in daily clinical practice. A growing challenge has emerged in identifying patients prone to cardiovascular events. We aim to investigate whether abnormal endothelial function may be associated with adverse 5-year outcomes in patients presenting to a chest pain unit (CPU). Following endothelial function testing using EndoPAT 2000 in 300 consecutive patients without a history of coronary artery disease, patients underwent coronary computerized tomographic angiography (CCTA) or single-photon emission computed tomography according to availability. Mean 10-year Framingham risk score (FRS) was 6.6 ± 5.9%; mean 10-year atherosclerotic cardiovascular disease (ASCVD) risk was 7.1 ± 7.2%; median reactive hyperemia index (RHI) as a measure of an endothelial function 2.0 and mean was 2.0 ± 0.4. During a 5-year follow-up, the 30 patients who developed major adverse cardiovascular events (MACE), including all-cause mortality, nonfatal myocardial infarction, hospitalization for heart failure or angina pectoris, stroke, coronary artery bypass grafting, and percutaneous coronary interventions, had higher 10-year FRS (9.6 ± 7.8 vs. 6.3 ± 5.6%; P = 0.032), higher 10-year ASCVD risk (10.4 ± 9.2 vs. 6.7 ± 6.9%; P = 0.042), lower baseline RHI (1.6 ± 0.5 vs. 2.1 ± 0.4; P < 0.001) and a greater degree of coronary atherosclerotic lesions (53 vs. 3%, P < 0.001) on CCTA compared with patients without MACE. Multivariate analysis demonstrated that RHI below the median was an independent predictor of 5-year MACE (odds ratio 5.567, 95% confidence interval 1.955-15.853; P = 0.001). Our findings suggest that noninvasive endothelial function testing may contribute to clinical efficacy in triaging patients in the CPU and in predicting 5-year MACE. NCT01618123.

Health Disparities: Statin Prescribing Patterns Among Patients with Diabetes in a Family Medicine Clinic

Purpose:To analyze the impact of gender and race on statin prescribing patterns in patients with diabetes in a family medicine clinic.Methods:This study (n=192) was a single-center, cross-sectional study that examined statin prescribing patterns at a family medicine clinic. Patients were obtained from January 2015 to November 2018, who were considered eligible for statin therapy based on a documented diagnosis of diabetes. The patients were divided into four subgroups for analysis (white males, non-white males, white females, and non-white females).Results:Females were found to have higher rates of prescribed statin therapy and appropriate statin intensity therapy when compared to males (p>0.05). When evaluating gender and race, white females were more likely to be prescribed an appropriate statin when compared to non-white females (p<0.05).Conclusion:The study shows that although males had a significantly higher mean 10-year atherosclerotic cardiovascular disease risk score, they were less likely than females to receive the appropriate intensity statin. Previous studies have shown race and gender disparities exist in the prevention of cardiovascular disease. A more collective, unified approach to improve prescribing patterns for statin therapy can eliminate these disparities.

Coronary artery calcium as a predictor of coronary heart disease, cardiovascular disease, and all-cause mortality in Asian-Americans: The Coronary Artery Calcium Consortium.

Coronary artery calcium (CAC) has been shown in multiple populations to predict atherosclerotic cardiovascular disease. However, its predictive value in Asian-Americans is poorly described. We studied 1621 asymptomatic Asian-Americans in the CAC Consortium, a large multicenter retrospective cohort. CAC was modeled in categorical (CAC = 0; CAC = 1-99; CAC = 100-399; CAC ≥ 400) and continuous [ln (CAC + 1)] forms. Participants were followed over a mean follow-up of 12 ± 4 years for coronary heart disease (CHD) death, cardiovascular disease (CVD) death, and all-cause mortality. The predictive value of CAC for individual outcomes was assessed using multivariable-adjusted Cox regression models adjusted for traditional cardiovascular risk factors and reported as hazard ratios (95% confidence interval). The mean (SD) age of the population was 54 (11.2) years and 64% were men. The mean 10-year atherosclerotic cardiovascular disease risk score was 8%. Approximately half had a CAC score of 0, whereas 22.5% had a CAC score of greater than 100. A total of 56 deaths (16 CVD and 8 CHD) were recorded, with no CVD or CHD deaths in the CAC = 0 group. We noted a significantly increased risk of CHD [hazard ratio (HR): 2.6 (1.5-4.3)] and CVD [HR: 2.3 (1.8-2.9)] mortality per unit increase in In (CAC + 1). Compared to those with CAC scores of 0, individuals with CAC scores of at least 400 had over a three-fold increased risk of all-cause mortality [HR: 3.3 (1.3-8.6)]. Although Asian-Americans are a relatively low-risk group, CAC strongly predicts CHD, CVD, and all-cause mortality beyond traditional risk factors. These findings may help address existing knowledge gaps in CVD risk prediction in Asian-Americans.