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Abstract Background/Introduction Access to timely healthcare in disadvantaged areas remains essential to achieving equitable health outcomes, especially in regions facing structural and social vulnerabilities. Purpose To assess wait times for cardiovascular disease consultations in US-Mexico border regions compared to non-border regions among US Veterans. Methods This cross-sectional analysis included all veteran cardiovascular consultations referred through the Veterans Choice Program to community healthcare centers from 2014 to 2020. We obtained the average wait times in days for consultation approval, scheduling, completion, and total wait time from approval to consultation completion. All consultations were classified by county of residence as either within a US-Mexico border region or a non-border region, as per the La Paz Agreement. Multivariable linear regression analyses were performed to evaluate the impact of border status on average wait times. ARIMA modeling was completed to estimate forecasted wait times during the COVID-19 pandemic. Results A total of 485,158 consultations related to outpatient cardiovascular disease were retrieved from the VA Healthcare System. Amongst these, 461,696 of the consultations were placed in non-border regions whereas 23,462 consultations were placed in US-Mexico border regions. The most common consultation requests were made for general cardiology clinic (n=365,227), echocardiography (n=32,017), cardio-pulmonary rehabilitation (n=40,699), and cardiac stress testing (n=16,258). Wait times for cardiovascular disease consultations were not higher in US-Mexico border counties than in non-border regions. For electrophysiology consultations specifically, border counties exhibited significantly shorter total wait times (coeff = -10.81, p=0.008). Additionally, while the COVID-19 pandemic led to increased total wait times in non-border areas (Figure 1), total wait times in border regions remained stable during this period (Figure 2). Conclusions Our findings suggest that US-Mexico border region status does not result in longer wait times for cardiovascular disease consultations, with the exception of shorter wait times for electrophysiology services. This study provides important insights into the unique dynamics of healthcare access in structurally disadvantaged regions, highlighting that wait times are not a significant barrier to cardiovascular care in border areas, and emphasizes the need to consider regional differences in healthcare delivery policies.

Abstract Background Sodium-glucose cotransporter 2 inhibitors (SGLT2-Is) have emerged as a vital component in the management of heart failure (HF), demonstrating significant improvements in cardiac function. However, their impact on outcomes in patients with acute myocardial infarction (AMI) remains poorly characterized. This study aimed to evaluate the long-term outcomes of SGLT2-Is among patients with AMI. Methods We conducted a retrospective cohort study using data from the TriNetX Banner Health Network platform in the United States, including patients aged ≥18 years with AMI identified through ICD-10 codes. Patients were categorized into two cohorts based on SGLT2-I use. Propensity score matching (PSM) was performed to balance baseline demographics, comorbidities (e.g., hypertension, diabetes, chronic kidney disease, heart failure, and hyperlipidemia), and medication use (e.g., heart failure therapies, antiplatelet agents, anticoagulants). Risk ratios (RRs) and 95% confidence intervals (95% CIs) were estimated for the following cardiovascular outcomes: acute HF hospitalizations, stroke, all-cause hospitalizations, recurrent AMI, cardiac arrest, and new-onset atrial fibrillation (AF). Kaplan-Meier analysis was completed to estimate survival probability from all-cause hospitalizations. Results After PSM, 2,440 patients were analyzed (1,220 SGLT2-I users; 1,220 non-users). Both cohorts had similar characteristics without any residual imbalance: mean age 67.7 years in the SGLT2-I group vs. 67.5 years in non-users, and both groups included 85.2% White and 33.6% female patients. Mean follow-up duration was 608 days for SGLT2-I users and 1,013.5 days for non-users. SGLT2-I use was associated with significantly lower rates of all-cause hospitalizations (RR: 0.712; 95% CI: 0.652–0.777), HF-related hospitalizations (RR: 0.878; 95% CI: 0.781–0.987), recurrent AMI (RR: 0.821; 95% CI: 0.703–0.959), and cardiac arrest (RR: 0.500; 95% CI: 0.345–0.725). No significant differences were observed in stroke (RR: 0.909; 95% CI: 0.702–1.178) or new-onset AF (RR: 0.889; 95% CI: 0.782–1.010) between the cohorts. Conclusions SGLT2-Is are associated with improved cardiovascular outcomes in patients with AMI, including reductions in all-cause and HF-related hospitalizations, recurrent AMI, and cardiac arrest. While these findings are hypothesis-generating, they emphasize the need for prospective clinical trials to confirm these results.Kaplan-Meier Analysis.

Recent advancements have emerged in understanding the epidemiology and optimal therapeutic options for left ventricular thrombi (LVT). With early percutaneous interventions in acute myocardial infarction, the prevalence of LVT has decreased. However, the best strategies for prevention, risk stratification, and management remain unclear, especially among nonischemic cardiomyopathy disorders. This review outlines these advancements and provides an overview of the diagnostic and therapeutic implications of LVT in ischemic and non-ischemic cardiomyopathies. Significant gaps in the current evidence persist, particularly regarding the optimal timing for LVT screening and the need for prophylactic anticoagulation, highlighting opportunities for prospective cohort studies. Furthermore, a better understanding of the unique risk factors that contribute to increased LVT risk would lead to more comprehensive algorithms that may quantify the risk of LVT development, aiding in developing preventive strategies targeted at reducing rates of LVT. Until more definitive evidence is available, clinicians should custom LVT screening, preventive measures, and management strategies based on individual patient risk factors.

Cardiac cachexia (CC) is a severe complication of advanced heart failure (HF), characterized by involuntary weight loss and muscle wasting, leading to poor outcomes and higher mortality. Despite its severity, CC remains under-recognized and undertreated, lacking targeted therapies specifically addressing its pathophysiology. Glucagon-like peptide-1 receptor agonists (GLP-1RAs), though beneficial in reducing cardiovascular risk in patients with HF, may exacerbate muscle wasting in cachectic patients, necessitating further investigation. Non-pharmacological strategies, including tailored nutritional support and exercise programs, have shown positive effects on body composition and quality of life in patients with CC. However, there remains a gap in recommendations tailored to preventive strategies and pharmacologic therapies for patients with CC and concomitant GLP-1RA use. This review highlights the multifactorial mechanisms underlying CC and current and emerging therapeutic approaches for mitigating HF-related sarcopenia while on GLP-1RAs.

Abstract Aims Sodium-glucose cotransporter 2 inhibitors (SGLT2-Is) improve heart failure (HF) outcomes but their effects on acute myocardial infarction (AMI) remain poorly characterized. This study aimed to evaluate the 1-year cardiovascular outcomes of SGLT2-Is among patients with AMI. Methods and results We conducted an observational, retrospective cohort study using TriNetX data, including patients aged ≥18 with AMI identified via ICD-10 codes regardless of left ventricular ejection fraction (LVEF), categorized by SGLT2-Is use. Propensity score matching (PSM) was performed to balance baseline demographics, comorbidities, and medication use. Adjusted odds ratios (aORs) were estimated for the primary outcome (recurrent AMI) and the secondary outcomes (acute HF hospitalizations, stroke, all-cause hospitalizations, all-cause mortality, new-onset atrial fibrillation, and cardiac arrest). After PSM, 89 554 patients were analysed (44 777 SGLT2-Is users; 44 777 non-users). The mean age was ∼68 years in both cohorts with a similarly high burden of cardiovascular comorbidities. Mean follow-up duration was 290.854 days for SGLT2-Is users and 284.465 days for non-users. SGLT2-Is use was linked to lower rates of recurrent AMI [aOR: 0.459; 95% confidence interval (CI): 0.367–0.551], all-cause hospitalizations (aOR: 0.782; 95% CI: 0.762–0.803), all-cause mortality (aOR: 0.640; 95% CI: 0.612–0.670), and cardiac arrest (aOR: 0.834; 95% CI: 0.773–0.900). No differences were observed in acute HF hospitalizations, new-onset atrial fibrillation, or stroke. Conclusion SGLT2-Is are associated with improved cardiovascular outcomes in patients with AMI, including reductions in recurrent AMI, all-cause hospitalizations and mortality, and cardiac arrest. These findings emphasize the need for prospective clinical trials involving patients with AMI and other cardiovascular comorbidities, regardless of LVEF, to confirm these results.

Bicuspid aortic valve (BAV) and thoracic aortic aneurysms and dissections (TAAD) are recognized in syndromic connective tissue diseases (CTD), but most cases occur sporadically. The extent to which non-syndromic BAV or TAAD predisposes to additional arteriopathies, particularly in younger individuals, remains unclear. We retrospectively analyzed 1438 patients (mean age = 48.0, 67.7% female), excluding those with CTDs. Participants were ≤60 years old and categorized by the presence of BAV and/or TAAD. We examined co-existing arterial pathologies, including fibromuscular dysplasia, spontaneous coronary artery dissection, abdominal aortic aneurysms (AAA), mesenteric, peripheral extremity, and carotid/cerebral arteriopathies. Overall, 44.6% had either BAV or TAAD, and 27.2% had multiple arteriopathies. While vascular diseases were frequently noted, odds ratios demonstrated no significantly increased risk of extra-aortic arteriopathies in the BAV or TAAD cohorts. AAA exhibited a non-significant trend toward higher prevalence in TAAD patients. These findings support current guidelines recommending targeted imaging (transthoracic echocardiography of the aortic root and ascending aorta) over comprehensive “head-to-pelvis” screening for non-syndromic BAV or TAAD patients without additional risk factors. Ongoing genetic analyses may elucidate whether particular variants predispose to multi-site aneurysms or dissections. Consequently, targeted surveillance remains appropriate, with broader imaging reserved for patients with genetic or clinical indicators of higher risk.

Cardiac computed tomography (CT) has rapidly advanced, becoming an invaluable tool for diagnosing and prognosticating various cardiovascular diseases. While echocardiography and cardiac magnetic resonance imaging (CMR) remain the gold standards for myocardial assessment, modern CT technologies offer enhanced spatial resolution, making it an essential tool in clinical practice. Cardiac CT has expanded beyond coronary artery disease evaluation, now playing a key role in assessing cardiomyopathies and structural heart diseases. Innovations like photon-counting CT enable precise estimation of myocardial extracellular volume, facilitating the detection of infiltrative disorders and myocardial fibrosis. Additionally, CT-based myocardial strain analysis allows for the classification of impaired myocardial contractility, while quantifying cardiac volumes and function remains crucial in cardiomyopathy evaluation. This review explores the emerging role of cardiac CT in cardiomyopathy phenotyping, emphasizing recent technological advancements.

Background: Aortic stenosis (AS) imposes a significant mortality burden. Understanding demographic influences on the location of AS-related death is crucial for advancing equitable end-of-life care. Therefore, we investigated how demographic factors influence the location of death among AS patients in the United States. Methods: We completed a cross-sectional study utilizing US mortality data from the CDC’s WONDER database for 2019. All files related to decedents with AS identified as the primary cause of death were obtained, including demographic information and death locations (i.e., inpatient facilities, outpatient/ER facilities, home, or hospice/nursing facilities). Associations between demographic factors (age, sex, race/ethnicity, marital status, and education) and place of death were assessed using multivariable logistic regression models, yielding odds ratios (ORs). Results: In 2019, most AS-related deaths occurred in inpatient facilities (38.3%, n = 5062), home (29.2%, n = 3859), or hospice/nursing facilities (28.6%, n = 3775). Higher odds of inpatient death were observed among Black (OR 1.67, p < 0.001) and Hispanic individuals (OR 1.91, p < 0.001) compared to White decedents. Those aged >85 years were more likely to die at home (OR 1.76, p < 0.001) or in hospice/nursing facilities (OR 7.80, p < 0.001). Males had increased odds of inpatient death (OR 1.09, p = 0.044) but decreased odds of hospice/nursing facility death (OR 0.87, p = 0.003). Higher education levels were associated with increased odds of home death (OR 1.33, p = 0.023) and decreased odds of hospice/nursing facility death (OR 0.71, p = 0.015). Conclusions: Demographic factors significantly influence the location of death among AS patients, emphasizing the need for culturally and socioeconomically tailored interventions to promote equitable end-of-life care.

Cardiovascular diseases and cancer are the leading causes of morbidity and mortality in modern society. Expanding cancer therapies that have improved prognosis may also be associated with cardiotoxicity, and extended life span after survivorship is associated with the increasing prevalence of cardiovascular disease. As such, the field of cardio-oncology has been rapidly expanding, with an aim to identify cardiotoxicity and cardiac disease early in a patient who is receiving treatment for cancer or is in survivorship. Artificial intelligence is revolutionizing modern medicine with its ability to identify cardiac disease early. This article comprehensively reviews applications of artificial intelligence specifically applied to electrocardiograms, echocardiography, cardiac magnetic resonance imaging, and nuclear imaging to predict cardiac toxicity in the setting of cancer therapies, with a view to reduce early complications and cardiac side effects from cancer therapies such as chemotherapy, radiation therapy, or immunotherapy.

Lipoprotein(a) [Lp(a)] is a well-established causal risk factor for cardiovascular diseases (CVDs), as reported by multiple Mendelian randomization studies and large epidemiological studies. When elevated Lp(a) is combined with other risk factors, most notably elevated low-density lipoprotein cholesterol (LDL-C), a synergistic atherogenic effect has been reported. However, the current literature is conflicting regarding how Lp(a) interacts in the context of controlled LDL-C levels (e.g., <70 mg/dL) and whether reducing LDL-C can modify the atherogenic effect of Lp(a). In some studies, elevated Lp(a) was still significantly associated with a higher risk of cardiovascular events, despite controlled levels of LDL-C. In contrast, multiple studies have reported attenuation of the cardiovascular risk mediated by elevated Lp(a) with lower LDL-C levels. Moreover, the relationship between Lp(a) and triglycerides, high-density lipoprotein, and very low-density lipoprotein remains unclear. In this literature review, we summarize and discuss the current evidence regarding the interactions between Lp(a) and other lipid molecules, how they contribute to the pathogenesis of CVD, and future perspectives, particularly in the current era where promising targeted Lp(a)-lowering therapies are under development.