Cardiovascular disease (CVD) prevalence is rising among younger women in the United States. Hypertensive disorders of pregnancy (HDP) are early indicators of cardiovascular risk, yet it remains unclear whether HDP independently increase CVD risk or reflect poor prepregnancy health. We aimed to quantify the association between HDP and incident CVD in a diverse, real-world population, with replication of findings across health systems.

Venous thromboembolism (VTE) is a leading cardiovascular disease, yet its etiology is incompletely understood. This study used large-scale, high-throughput aptamer-based proteomics to identify new circulating protein biomarkers and biological pathways for incident VTE.

Atrial septal defects (ASDs) are a prevalent type of congenital heart disease. Previous GWAS (Genome-Wide Association Studies) have identified common variants associated with ASDs, though their mechanisms remain unknown. We aimed to expand insights into the architecture of common variants associated with ASD risk and elucidate functional mechanisms.

With pulmonary hypertension (PH), a pulmonary artery wedge pressure (PAWP)>15 mm Hg is used to diagnose left heart dysfunction, but some patients with adjudicated group 1 PH demonstrate PAWP>15 mm Hg. The primary objective of the study was to evaluate group 1 PH with high PAWP>15 mm Hg.

Diagnosing cardiac amyloidosis (CA) on echocardiography can be challenging due to the imaging overlap between CA and more prevalent causes of a hypertrophic phenotype. This study sought to (1) evaluate the performance of artificial-intelligence (AI) derived measurements incorporated into the established multiparametric echocardiographic scoring system to detect CA; (2) develop and validate an AI-based deep-learning model for video-based detection of CA on echocardiography.

BCR-ABL (fusion between the Abelson [Abl] tyrosine kinase gene at chromosome 9 and the break point cluster [Bcr] gene at chromosome 22) tyrosine kinase inhibitors (TKIs) have been increasingly linked to pulmonary arterial hypertension (PAH) since 2009, although supporting evidence is limited. Our objective was to evaluate the risk of PAH associated with second- and third-generation BCR-ABL TKIs compared with imatinib in adults.

Obesity is an established risk factor for cardiovascular disease (CVD); however, the overall and sex-specific relationships across the full spectrum of body mass index (BMI), particularly severe obesity defined as class 2 (BMI 35 to <40.0 kg/m2) and class 3 (BMI ≥40 kg/m2), and long-term CVD outcomes remain incompletely described.

Calcified nodules (CNs) represent a high-risk coronary lesion phenotype associated with target lesion revascularization (TLR). Although rotational atherectomy (RA) is an established treatment for calcified lesions, its benefit for CNs remains unclear. This study aimed to evaluate the impact of RA on TLR and to identify specific morphological features on intravascular ultrasound that may influence its therapeutic effect for CNs.

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate established cardiovascular risk factors and have evolved over time from the Framingham Risk Model to the pooled cohort equations to the PREVENT (Predicting Risk of CVD Events) equations. Recent scientific (ie, genomics, proteomics, metabolomics) and methodologic (ie, artificial intelligence) advances have led to a proliferation of novel models, biomarkers, and tools for potential use in risk prediction. In parallel, the growing armamentarium of preventive therapies, some with considerable cost, underscores the need for more accurate and precise risk assessment to prioritize those at highest risk who will derive the greatest absolute benefit. Accompanying the considerable enthusiasm for the potential of newer approaches to improve risk prediction is the need for rigorous evaluation and assessment of their performance (ie, accuracy, precision, incremental performance when added to contemporary multivariable risk models or established risk factors) and clinical utility (ie, actionability, scalability, generalizability) before adoption in clinical practice. Additional considerations in risk tool evaluation include reproducibility, cost-value considerations (including impact on downstream health care costs), and implications for health equity. This scientific statement defines a standardized framework for general considerations in risk prediction, statistical assessment of predictive utility, and critical appraisal of clinical utility and readiness. This scientific statement is intended to support clinicians, researchers, and policymakers in how best to evaluate current and emerging risk prediction tools and ultimately improve the prevention of cardiovascular disease in diverse populations.

During myocardial infarction (MI), M1-like macrophages exacerbate myocardial injury by excessively secreting inflammatory cytokines. Therefore, modulating the activity of M1-like macrophages may represent a novel therapeutic strategy for MI. PRMTs (protein arginine methyltransferases) primarily regulate protein function via asymmetric dimethylation, but PRMT9 does so through symmetric dimethylation. However, its role in cardiovascular diseases has yet to be established. In this study, we investigated the role of PRMT9 in macrophage polarization in the context of MI and explored its therapeutic effect for MI.

Clonal hematopoiesis (CH), the benign clonal expansion of hematopoietic stem cells, is often caused by somatic sequence variations in genes associated with hematologic malignancies. Over the past decade, CH has emerged as a risk factor for a wide range of cardiovascular diseases (CVDs), including atherosclerosis, heart failure, atrial fibrillation, and thrombosis. The cardiovascular risk associated with CH is heterogeneous; it varies on the basis of specific genes and variants, clone size, and various extrinsic features. Mechanistic studies suggest that CH contributes to CVDs through both gene-specific pathways and broader inflammatory processes. These include aberrant cytokine production, inflammasome activation, and other proinflammatory mechanisms, which can accelerate atherosclerosis, promote thrombogenesis, and impair vascular or myocardial function. These findings underscore the importance of addressing CH as a potential contributor to CVDs. CH is predominantly considered an age-related phenomenon, but lifelong influences on the fitness of genetic variants, including germline predispositions, obesity, chronic inflammation, and exposure to environmental toxins (eg, tobacco, certain cancer treatments), influence CH. A greater understanding of CH risk factors is therefore important for both individual and population-level risk assessments. Incorporating CH-associated risk into existing CVD risk prediction models may inform new personalized preventive or therapeutic approaches. No CH-specific therapies have proven efficacy in CVD treatment or prevention, but multiple molecular-based therapeutic hypotheses are beginning to be tested.