Ayoub, C A

Background/Objectives: Thoracic aortic aneurysm (TAA) often results from structural degeneration of the aortic wall. Traditional management focuses on hemodynamic control using beta-blockers (BB) and angiotensin receptor blockers (ARBs). Glucagon-like peptide-1 receptor agonists (GLP-1 RAs), originally developed for diabetes and weight management, may offer additional vascular protective benefits through anti-inflammatory, antioxidative, and matrix-stabilizing mechanisms. However, their role in reducing mortality and thoracic aortic dissection (TAD) risk in patients with TAA has not been evaluated in human populations. In this study, we aimed to assess the association between GLP-1 RA use and the risks of mortality and thoracic aortic dissection. Methods: We conducted a retrospective cohort study of adults diagnosed with TAA between 2018 and 2024 across three Mayo Clinic sites. Patients receiving GLP-1 RAs were compared with non-users using 1:1 propensity score matching. Outcomes included all-cause mortality, cardiovascular mortality, and incident TAD. Kaplan–Meier and Cox proportional hazards analyses were performed. Results: A total of 32,279 patients with TAA, with a median age of 68.0 [IQR: 59.0–76.0] and 70.7% male, were included in a 1:1 propensity score match. This yielded a balanced cohort of 588 GLP-1 RA users and 588 non-users. Through a median follow-up of 4.1 (2.2, 5.9) years, GLP-1 RA use was associated with significantly lower 5-year cumulative incidence of all-cause mortality (5.0% vs. 14.5%, HR: 0.31; 95% CI: 0.19–0.50; p < 0.001), cardiovascular mortality (1.9% vs. 5.5%, HR: 0.30; 95% CI: 0.13–0.70; p = 0.005), and TAD (0.9% vs. 4.0%, HR: 0.19; 95% CI: 0.06–0.60; p < 0.0004). Conclusions: GLP-1 RAs are associated with reduced incidence of all-cause mortality, cardiovascular mortality, and TAD incidence in patients with TAA. Prospective studies are needed to confirm these findings and evaluate effects on aneurysm progression.

This cross-sectional study investigates the association between lipoprotein(a) levels and risk of ventricular arrhythmias among patients with heart failure with reduced ejection fraction receiving implantable cardioverter-defibrillator therapy.

Coronary microvascular dysfunction (CMD) has emerged as a crucial contributor to cardiovascular morbidity and mortality, particularly in patients with ischemia and non-obstructive coronary arteries (INOCA). The condition arises from a complex interplay of structural and functional abnormalities within the small coronary vessels, driven by underlying molecular mechanisms including endothelial nitric oxide synthase (eNOS) uncoupling, oxidative stress, and chronic inflammation. Lipid metabolism plays a central role in this pathology, especially in the setting of elevated low-density lipoprotein cholesterol (LDL-C). Furthermore, the protective capacity of high-density lipoprotein (HDL) is increasingly understood to depend on its functionality rather than absolute levels, as it can become dysfunctional and pro-inflammatory in pathological states. Emerging evidence has identified lipoprotein(a) [Lp(a)] and triglyceride-rich lipoproteins as significant, independent contributors to microvascular injury. Comprehensive clinical assessment of microvascular dysfunction therefore requires integration of advanced lipid profiling, including apolipoprotein B (ApoB), [Lp(a)], and the triglyceride-glucose (TyG) index with invasive and non-invasive measures of coronary flow reserve to more precisely stratify risk. In this narrative review, we synthesize current observational, mechanistic, and early interventional data linking diverse lipid phenotypes to coronary microvascular dysfunction. We propose a concept of lipid-driven CMD endotypes, such as ApoB-/particle overload, dysfunctional HDL, Lp(a)-mediated risk, and metabolic/TyG-high states, and map these to a practical, mechanism-informed management framework. While intensive LDL-C lowering with high-intensity statins and combination therapy remains guideline-directed care for high-risk patients, evidence for dedicated microvascular benefit from newer lipid and cardiometabolic agents is still largely hypothesis-generating. A personalized approach that aligns lipid phenotyping, CMD endotyping, and existing guideline-based therapies may help refine risk assessment and inform future trials.

Abstract Background Accurate assessment of left ventricular outflow tract (LVOT) gradients is critical for hypertrophic cardiomyopathy (HCM) management, yet Doppler-based measurements are technically demanding and require expertise. Objective To develop a multi-view deep learning model capable of classifying LVOT obstruction (> 20mmHg) using routine 2D echocardiographic windows without reliance on Doppler imaging. Methods We trained and externally validated a cross-attention-based video-to-video fusion framework that integrated EchoPrime-derived video representations from three standard transthoracic echocardiographic views to classify LVOT gradients. Results Training was performed on a derivation cohort (N = 1833) from a tertiary care system in the United States, with model performance evaluated on an internal held-out test set (N = 275) and a Korean external validation cohort (N = 46). Single-view baselines showed limited discrimination (external AUROCs 0.47–0.70). Conversely, domain-specific foundational model (EchoPrime) achieved superior single-view performance (AUROCs 0.75–0.80 internal; 0.79–0.83 external), highlighting the importance of echo-specific pretraining and temporal modeling. The proposed multi-view fusion further enhanced predictive performance, with the late fusion model reaching an AUROC of 0.84 on the external cohort with significant population-shift. Conclusions These results suggest LVOT physiology is encoded in routine 2D imaging and can be leveraged for clinically relevant gradient classification without Doppler input- proposed AI-guided strategy demonstrates substantial cost savings compared with the screen-all approach. By integrating complementary spatial-temporal information across multiple views, our approach generalizes robustly across populations and may enable real-time decision support, extend LVOT assessment to portable or resource-limited settings, and complement Doppler-based evaluation for longitudinal HCM management.

Abstract Background Treatment with immune-checkpoint inhibitors (ICI) may be associated with adverse cardiac events. Troponin elevation is part of the diagnostic criteria for ICI related myocarditis (ICIrM) and myocardial infarction (MI), however there is limited data for causes of troponin elevation independent of MI and ICIrM and their clinical outcomes with ICI therapy. Purpose To assess the diagnostic and prognostic value of high-sensitivity troponin T (hs-TnT) in patients treated with ICI based on different etiologies and association with cardiac events. Methods All patients treated with ICI who had hs-TnT measured at a multi-center institution from 2011 to 2022 were included. Medical records were reviewed for baseline characteristics and long-term outcomes, including cardiac death and MACE (MI, stroke, heart failure [HF]), and cause of hs-TnT elevation. Risk of cardiac events and mortality were compared for the different etiologies of hs-TnT elevation. Results Of 5,423 patients treated with ICI, 1669 had post-ICI hs-TnT measurement. Mean age was 68.7±11.3 years, 58.3% were male, with follow-up through one year from ICI first administration. Elevated hs-TnT was seen in 1136 patients, with the different causes for elevation depicted in Figure 1, panel A. ICIrM patients exhibited the highest median hs-TnT value of 364 ng/L (IQR 1096), followed by a median of 98 ng/L for MI/Type 2 ischemia, 61 ng/L for infection/sepsis, 51 ng/L for pulmonary embolus, 50 ng/L for HF and 27 ng/L for indeterminate causes, Figure 1, panel B. Additionally, median time from first ICI dose to hs-TnT elevation according to each of the diagnoses are depicted in Figure 1, panel C, with ICIrM showing the shortest median time of 44 days (IQR 74). Hs-TnT elevation in patients with ICIrM had the highest risk for cardiac death (HR 52.7, 95% CI 11.7-238.0, p&lt;0.001), followed by hs-TnT elevation due to HF (HR 15.9, 95% CI 2.9-87.0, p=0.001), MI/type 2 ischemia (HR 11.6, 95% CI 2.4-56.1, p=0.002), and infection/sepsis (HR 5.7, 95% CI 1.0-31.0, p=0.045) compared to those with no hs-TnT elevation, Figure 2, panel A. Similarly, patients with ICIrM had highest risk for MACE (HR 8.2, 95% CI 4.4-15.3, p&lt;0.001), followed by increased hs-TnT due to MI/type 2 ischemia (HR 8.1, 95% CI 5.0-13.1, p&lt;0.001), HF (HR 7.6, 95% CI 4.2-13.7, p&lt;0.001), pulmonary embolism (HR 5.1, 95% CI 2.5-10.8, p&lt;0.001), infection/sepsis (HR 4.1, 95% CI 2.4-7.0, p&lt;0.001), and indeterminate cause (HR 2.4, 95% CI 1.5-3.8, p&lt;0.001), Figure 2, panel B. Conclusions Hs-TnT measurements have prognostic value for cardiac events in cancer patients receiving ICI therapy, including in those without ICIrM. Patients with ICIrM demonstrated the highest median hs-TnT levels and the poorest outcomes, with a graded response observed; the worst prognosis was seen in patients with hs-TnT elevation due to ICIrM, followed by other causes, and those without hs-TnT elevation had the best prognosis.Figure 1 Figure 2

Abstract Background/Introduction Acute coronary syndrome (ACS) is common among elderly patients and is associated with a high risk of complications. Managing ACS, particularly dual antiplatelet therapy (DAPT), poses challenges due to the increased risk of recurrent hemorrhagic and ischemic events in this population. Purpose This study evaluated cardiovascular outcomes in patients ≥75 years that were initiated on DAPT with aspirin (ASA) plus either ticagrelor or clopidogrel following an acute myocardial infarction (AMI). Methods We used the TriNetX repository to identify adult patients (≥75 years) diagnosed with AMI between January 1, 2011, and December 31, 2021, who subsequently initiated DAPT and were not on anticoagulation. Patients were stratified into two cohorts: ASA + ticagrelor and ASA + clopidogrel. Outcomes assessed included major bleeding, repeat coronary intervention, all-cause mortality, all-cause hospitalizations, stroke, new-onset atrial fibrillation, and pacemaker implantation. Follow-up time was restricted to one year. A 1:1 propensity score matching algorithm was applied using the greedy nearest-neighbor method with a caliper of 0.1 pooled standard deviations to ensure balance (i.e., comorbidities, medications, laboratory values) between the two cohorts. Logistic regression models were used to calculate adjusted odds ratios (aOR), and Cox proportional hazards models estimated hazard ratios (HR). Results Before propensity score matching (PSM), 19,859 patients were in the ASA + ticagrelor cohort, and 47,032 were in the ASA + clopidogrel cohort. Post-PSM, 19,746 patients remained in each cohort, with a mean age of 82.2 years and a mean follow-up duration of 298.77 days for the ASA + ticagrelor cohort and 297.59 days for the ASA + clopidogrel cohort. The ASA + ticagrelor cohort had a higher incidence of major bleeding (aOR 1.19 [95% CI, 1.08–1.31]) and pacemaker implantation (aOR 1.14 [95% CI, 1.02–1.29]) compared to the ASA + clopidogrel cohort. Event-free survival analysis showed lower survival rates for major bleeding (HR 1.18 [95% CI, 1.07–1.30]) and pacemaker implantation (HR 1.14 [95% CI, 1.01–1.28]). No significant differences were observed between cohorts in repeat coronary interventions (aOR 0.95 [95% CI, 0.88–1.03]), atrial fibrillation (aOR 1.03 [95% CI, 0.97–1.08]), all-cause mortality (aOR 1.03 [95% CI, 0.96–1.12]), all-cause hospitalization (aOR 1.01 [95% CI, 0.97–1.05]), or stroke (aOR 0.95 [95% CI, 0.86–1.04]). Conclusions In elderly patients, DAPT with ASA + ticagrelor was associated with higher rates of major bleeding and need for pacemaker compared to ASA + clopidogrel. Given the similar risks of recurrent coronary intervention and mortality between the two regimens, these findings highlight the need for careful consideration when selecting ticagrelor over clopidogrel in this population.

Abstract Introduction Cardiovascular disease (CVD) is the leading cause of death among patients with kidney failure on dialysis. Social determinants of health may worsen this risk but are seldom incorporated into prognostic models. ICD-10 Z-codes provide standardized documentation of social determinants of health, yet their prognostic value in dialysis populations remains uncertain. This study examined whether Z-coded social determinants of health are associated with adverse cardiovascular outcomes and mortality among patients receiving dialysis for kidney failure. Methods A retrospective cohort study was conducted using the TriNetX Research Network (2010–2024), encompassing de-identified data from 103 institutions. Adults with kidney failure on chronic dialysis were stratified by the presence of ICD-10 Z-codes (Z55–Z65). Propensity score matching (1:1) balanced demographics, comorbidities, medications, and laboratory values. Primary outcomes were all-cause mortality and hospitalization; secondary outcomes included acute heart failure, myocardial infarction, stroke, cardiac arrest, bradyarrhythmias, and ventricular tachycardia. Results After matching, mean age was 62 years, and 42.4% were female in the Z-code cohort versus 41.2% in controls. Over one year, mortality occurred in 12.5% versus 10.9% (hazard ratio [HR], 1.22; 95% confidence interval [CI], 1.15–1.29) and all-cause hospitalizations in 57.3% versus 53.1% (HR, 1.22; 95% CI, 1.19–1.26). Cardiovascular complications were consistently higher in Z-coded patients, including heart failure (24.3% vs 20.5%; HR, 1.29), myocardial infarction (8.0% vs 7.1%; HR, 1.19), stroke (6.6% vs 6.2%; HR, 1.13), cardiac arrest (3.8% vs 3.1%; HR, 1.29), and bradyarrhythmias (6.9% vs 5.5%; HR, 1.33). Discussion Among patients with kidney failure, documented Z-coded social risk factors were associated with greater mortality and cardiovascular morbidity. Incorporating social determinants of health documentation into nephrology care may improve risk stratification and inform targeted interventions.