Pericoronary adipose tissue feature analysis in computed tomography calcium score images in comparison to coronary computed tomography angiography.

Purpose: We investigated the feasibility and advantages of using non-contrast CT calcium score (CTCS) images to assess pericoronary adipose tissue (PCAT) and its association with major adverse cardiovascular events (MACE). PCAT features from coronary computed tomography angiography (CCTA) have been shown to be associated with cardiovascular risk but are potentially confounded by iodine. If PCAT in CTCS images can be similarly analyzed, it would avoid this issue and enable its inclusion in formal risk assessment from readily available, low-cost CTCS images.

The association between county-level social determinants of health and cardio-kidney-metabolic disease attributed all-cause mortality in the US: A cross sectional analysis.

Background: The American Heart Association recently defined cardio-kidney-metabolic (CKM) syndrome as the intersection between metabolic, renal, and cardiovascular disease. Understanding the contemporary estimates of CKM related mortality in the US is essential for developing targeted public interventions.

Methods: We analyzed state-level and county-level CKM-associated all-cause mortality data (2010-2019) from the CDC Wide-ranging Online Data for Epidemiologic Research (WONDER).

Social determinants of financial stress and association with psychological distress among young adults 18-26 years in the United States.

Introduction: Financial stress (FS) during young adulthood may have lasting effects on financial security, physical health, and overall wellbeing. This study examines the burden, social determinants and mental health consequences of experienced FS among young adults in the United States, based on objective measures of financial stress.

Methods: We studied young adults aged 18-26 years using pooled data from the 2013-18 National Health Interview Survey.

Exposomic Determinants of Atherosclerosis: Recent Evidence.

Purpose Of Review: The exposome refers to the total environmental exposures a person encounters throughout life, and its relationship with human health is increasingly studied. This non-systematic review focuses on recent research investigating the effects of environmental factors-such as air pollution, noise, greenspace, neighborhood walkability, and metallic pollutants-on atherosclerosis, a major cause of cardiovascular disease.

Recent Findings: Studies show that long-term exposure to airborne particulate matter can impair endothelial function and elevate adhesion molecule levels, leading to vascular damage.

Interplay Between Residential Nature Exposure and Walkability and Their Association with Cardiovascular Health.

Background: Green space has been linked with cardiovascular (CV) health. Nature access and quality may have significant impact on CV risk factors and health.

Objectives: The authors aimed to investigate the relationship between NatureScore, a composite score for natural environment exposure and quality of green spaces, with CV risk factors and atherosclerotic cardiovascular diseases (ASCVD).

The Exposome and Cardiovascular Health: Webcast December 12 2024.

This 61-minute webcast features a conversation about "The Exposome and Cardiovascular Health"-the focus of Issue 20.5. Led by the issue's editors, the discussion engages the authors on emerging themes and lessons learned while researching and writing the articles.

Standardizing social determinants of health data: a proposal for a comprehensive screening tool to address health equity a systematic review.

Social determinants of health (SDoH) significantly impacts health outcomes and disparities. While the Centers for Medicare and Medicaid Services has mandated hospitals to collect standardized SDoH data, existing tools lack key elements. This systematic review identified 78 studies and 20 screening tools addressing various SDoH domains.

GLP-1 Receptor Agonist in Nonobese Patients with Type 2 Diabetes Mellitus and Heart Failure with Preserved Ejection Fraction.

Background: Glucagon-like peptide-1 receptor agonists (GLP-1RAs) promote weight loss and improve heart failure-related symptoms, quality of life, and functional capacity in patients with obesity and heart failure with preserved ejection fraction (HFpEF). However, their clinical effectiveness in nonobese patients with diabetes and HFpEF is understudied.

Methods: The TriNetX research network was used to identify adult patients (≥18 years) with type 2 diabetes mellitus (T2DM), heart failure with preserved ejection fraction (left ventricular ejection fraction ≥45%), elevated brain natriuretic peptide (≥ 150 pg/mL) or N-terminal pro-B-type natriuretic peptide(≥ 450 pg/mL) and a body mass index (BMI) <30 kg/m2 on or before August 31, 2022.

Young adults with acute coronary syndrome undergoing percutaneous coronary intervention: Insights from the Houston Methodist Young ACS-PCI Registry.

Background: Limited data exist on the risk profile and prognosis of young patients undergoing percutaneous coronary intervention (PCI) for acute coronary syndrome (ACS). This study sheds light on the burden of cardiovascular risk factors and outcomes in this population.

Methods: The Houston Methodist Young ACS-PCI registry is a retrospective analysis of young adults (18 to 50 years) undergoing PCI for ACS between 2010 and 2022.

Additive effect of high transportation noise exposure and socioeconomic deprivation on stress-associated neural activity, atherosclerotic inflammation, and cardiovascular disease events.

Background: Noise exposure and lower socioeconomic status (SES) are both independently linked to increased cardiovascular disease (CVD) risk. Although these factors frequently coexist, their combined impact and the underlying pathophysiological mechanisms remain poorly understood.

Objectives: This study aimed to evaluate the joint effects of high transportation noise exposure and lower SES on major adverse cardiovascular events (MACE) and the role of the neural-arterial axis in mediating this relationship.

Green Streets, Healthy Hearts: Exploring the Roles of Urban Nature and Walkability in Cardiovascular Health.

With the growing evidence that connects urban environments with public health outcomes, the role of urban planning has become increasingly critical in addressing public health challenges. Cardiovascular diseases (CVDs) are the leading cause of mortality in urban areas and worldwide and are impacted by characteristics of the built environment, such as walkability and nature exposure. In this literature view, we explore the influence of the physical built environment, specifically green spaces and walkability, on cardiovascular health.

Big Data, Big Insights: Leveraging Data Analytics to Unravel Cardiovascular Exposome Complexities.

The exposome encompasses the full range of environmental exposures throughout a person's lifetime and plays an important role in cardiovascular health. Interactions with the social, natural, and built components of the exposome significantly impact cardiovascular disease prevalence and mortality. Robust data analytics, including machine learning and geospatial analysis, have advanced our understanding of how these factors converge to influence cardiovascular disease risk.

Associations of SGLT2i with Cardiorenal Outcomes Among Diabetics with Prostate Cancer on Hormone Therapy.

Purpose: Studies have reported associations between prostate cancer, type II diabetes mellitus (T2DM), and cardiovascular disease in the context of treatment with hormone therapy (HT). This study aimed to assess the role of Sodium-Glucose Cotransporter-2 Inhibitors (SGLT2i) in preventing adverse cardiovascular and renal outcomes in diabetics with prostate cancer.

Methods: Patients ≥ 18 years of age with T2DM and prostate cancer who received HT between August 1, 2013, and August 31, 2021, were identified using the TriNetX research network.

Socio-clinical Phenotyping in Patients with Atherosclerotic Cardiovascular Disease: A Latent Class Analysis.

In a common disease population such as atherosclerotic cardiovascular disease (ASCVD), latent classes may uncover subgroups of patients that can be distinguished by combinations of several factors instead of a single factor. In this study, we sought to identify clinical, demographic, and social sub-phenotypes of ASCVD, using latent class analysis (LCA), and assess the risk of all-cause and cardiovascular mortality across the identified socio-clinical classes. LCA is a statistical technique employed to uncover hidden class divisions within a set of individuals by utilizing a mix of categorical and/or continuous observed variables.

Environmental sustainability in cardiovascular practice: current challenges and future directions.

Cardiovascular disease is the leading cause of morbidity and mortality worldwide, with a substantial amount of health-care resources targeted towards its diagnosis and management. Environmental sustainability in cardiovascular care can have an important role in reducing greenhouse gas emissions and pollution and could be beneficial for improving health metrics and societal well-being and minimizing the cost of health care. In this Review, we discuss the motivations and frameworks for sustainable cardiovascular care with an emphasis on the reduction of the climate-related and environmental effects of cardiovascular care.

Bayesian Model Projecting Cardiovascular Disease Related Mortality Trends in the United States.

Background: As future cardiovascular disease mortality trends have public health implications, we aimed to project ischemic heart disease (IHD), cerebrovascular disease (CeVD), and heart failure (HF) mortality rates for adults (40-79 years).

Methods And Results: In this population-level study, we linked the yearly mortality rates (per 100 000 US residents) (2000-2019) with IHD, CeVD, or HF as the primary cause of death from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research with the midyear US population estimates (2000-2035) for adults (40-79 years). We calculated the observed age-standardized mortality rates (2000-2019) (per 100 000 residents) (aSMR) and fitted Bayesian age-period-cohort models to project aSMR for IHD, CeVD, and HF up to 2035 in the United States.