Development and Validation of Risk Prediction Models for Cardiovascular Events in Black Adults: The Jackson Heart Study Cohort

Cardiovascular risk assessment is a fundamental component of prevention of cardiovascular disease (CVD). However, commonly used prediction models have been formulated in primarily or exclusively white populations. Whether risk assessment in black adults is dissimilar to that in white adults is uncertain

Cardiovascular Disease in Hispanics/Latinos in the United States

Cardiovascular diseases (CVD) are the leading cause of mortality in the United States and Western world for all groups with one exception: CVDs are the number 2 cause of death for Hispanics/Latinos behind cancer with overall cancer rates lower for Latinos relative to non-Hispanic Whites (NHWs). Despite a significantly worse risk factor profile marked by higher rates of traditional and non-traditional determinants, some CVD prevalence and mortality rates are significantly lower among Latinos relative NHWs. These findings support a need for greater understanding of CVDs specifically among Latinos in order to better document prevalence, appropriately model risk and resilience, and improve targeting of intervention efforts. The current aim is to provide a state-of-the-science review of CVDs amongst Latinos including a review of the epidemiological evidence, risk factor prevalence, and evaluation of the breadth and quality of the data. Questions concerning the generalizability of current risk models, the Hispanic paradox as it relates to CVDs, contributing psychosocial and sociocultural factors, and future directions are discussed

Cardiovascular disease in Hispanics/Latinos in the United States.

Cardiovascular diseases (CVD) are the leading cause of mortality in the United States and Western world for all groups with one exception: CVDs are the number 2 cause of death for Hispanics/Latinos behind cancer with overall cancer rates lower for Latinos relative to non-Hispanic Whites (NHWs). Despite a significantly worse risk factor profile marked by higher rates of traditional and non-traditional determinants, some CVD prevalence and mortality rates are significantly lower among Latinos relative NHWs. These findings support a need for greater understanding of CVDs specifically among Latinos in order to better document prevalence, appropriately model risk and resilience, and improve targeting of intervention efforts. The current aim is to provide a state-of-the-science review of CVDs amongst Latinos including a review of the epidemiological evidence, risk factor prevalence, and evaluation of the breadth and quality of the data. Questions concerning the generalizability of current risk models, the Hispanic paradox as it relates to CVDs, contributing psychosocial and sociocultural factors, and future directions are discussed

Cardiometabolic biomarker patterns associated with cardiac MRI defined fibrosis and microvascular dysfunction in patients with heart failure with preserved ejection fraction

IntroductionHeart failure with preserved ejection fraction (HFpEF) is a complex disease process influenced by metabolic disorders, systemic inflammation, myocardial fibrosis, and microvascular dysfunction. The goal of our study is to identify potential relationships between plasma biomarkers and cardiac magnetic resonance (CMR) imaging markers in patients with HFpEF.MethodsNineteen subjects with HFpEF and 15 age-matched healthy controls were enrolled and underwent multiparametric CMR and plasma biomarker analysis using the Olink® Cardiometabolic Panel (Olink Proteomics, Uppsala, Sweden). Partial least squares discriminant analysis (PLS-DA) was used to characterize CMR and biomarker variables that differentiate the subject groups into two principal components. Orthogonal projection to latent structures by partial least squares (OPLS) analysis was used to identify biomarker patterns that correlate with myocardial perfusion reserve (MPR) and extracellular volume (ECV) mapping.ResultsA PLS-DA could differentiate between HFpEF and normal controls with two significant components explaining 79% (Q2 = 0.47) of the differences. For OPLS, there were 7 biomarkers that significantly correlated with ECV (R2 = 0.85, Q = 0.53) and 6 biomarkers that significantly correlated with MPR (R2 = 0.92, Q2 = 0.32). Only 1 biomarker significantly correlated with both ECV and MPR.DiscussionPatients with HFpEF have unique imaging and biomarker patterns that suggest mechanisms associated with metabolic disease, inflammation, fibrosis and microvascular dysfunction

Table1_Cardiometabolic biomarker patterns associated with cardiac MRI defined fibrosis and microvascular dysfunction in patients with heart failure with preserved ejection fraction.docx

IntroductionHeart failure with preserved ejection fraction (HFpEF) is a complex disease process influenced by metabolic disorders, systemic inflammation, myocardial fibrosis, and microvascular dysfunction. The goal of our study is to identify potential relationships between plasma biomarkers and cardiac magnetic resonance (CMR) imaging markers in patients with HFpEF.MethodsNineteen subjects with HFpEF and 15 age-matched healthy controls were enrolled and underwent multiparametric CMR and plasma biomarker analysis using the Olink® Cardiometabolic Panel (Olink Proteomics, Uppsala, Sweden). Partial least squares discriminant analysis (PLS-DA) was used to characterize CMR and biomarker variables that differentiate the subject groups into two principal components. Orthogonal projection to latent structures by partial least squares (OPLS) analysis was used to identify biomarker patterns that correlate with myocardial perfusion reserve (MPR) and extracellular volume (ECV) mapping.ResultsA PLS-DA could differentiate between HFpEF and normal controls with two significant components explaining 79% (Q2 = 0.47) of the differences. For OPLS, there were 7 biomarkers that significantly correlated with ECV (R2 = 0.85, Q = 0.53) and 6 biomarkers that significantly correlated with MPR (R2 = 0.92, Q2 = 0.32). Only 1 biomarker significantly correlated with both ECV and MPR.DiscussionPatients with HFpEF have unique imaging and biomarker patterns that suggest mechanisms associated with metabolic disease, inflammation, fibrosis and microvascular dysfunction.</p