Citations

Introduction: Diastolic dysfunction is a hallmark of heart failure with preserved ejection fraction, yet echocardiographic grading is challenging in patients with hypertrophic or amyloid cardiomyopathies due to variable structural and functional remodeling. Consequently, there is a need for additional diagnostic tools to identify patients at increased risk of diastolic dysfunction and enhanced filling pressure. Research Question: What is the accuracy of an artificial intelligence (AI)-enabled electrocardiogram (ECG) model to predict diastolic dysfunction in hypertrophic and amyloid cardiomyopathy? Methods: We included patients with diverse phenotypes of hypertrophic cardiomyopathy (HCM) and cardiac amyloidosis and validated Mayo Clinic's AI-enabled ECG model to grade diastolic function (normal: grade 0/1; abnormal: grade 2/3). Echocardiographic analysis of systolic (LVEF) and diastolic function was performed within 14 days of ECG recording. Diastolic function was graded based on E/e’ (>14), left atrial volume index (>34 mL/m2), pulmonary venous atrial reversal flow duration (≥30 ms), and peak tricuspid regurgitation velocity (>2.8 m/s). Filling pressure was considered increased if ≥3 parameters were abnormal, inconclusive if 2 were abnomal, and normal if ≥3 were normal. Echocardiograms with severe mitral regurgitation were excluded. Results: We identified and matched 840 ECGs from non-obstructive HCM patients (n=125, age 58±19y, 70% male), 145 ECGs from obstructive HCM patients (n=29, age 56±18y, 66% male), 225 ECGs from apical HCM patients (n=33, age 66±14y, 61% male), and 382 ECGs from cardiac amyloidosis patients (n=49, age 70±13y, 57% male). The AI-enabled ECG model predicted diastolic dysfunction with an accuracy of 65% (non-obstructive HCM), 67% (obstructive HCM), 65% (apical HCM), and 75% (cardiac amyloidosis), with sensitivities of 94% and 97% for obstructive HCM and cardiac amyloidosis, respectively, and high positive and negative predictive values for cardiac amyloidosis. Systolic dysfunction (LVEF≤40%) was more common in cardiac amyloidosis (29%) than in all HCM patients (5%). Conclusion: The AI-enabled ECG model demonstrates moderate accuracy but high sensitivity for detecting diastolic dysfunction and increased filling pressure, especially in obstructive HCM and cardiac amyloidosis. The AI-enabled ECG is a useful, widely scalable, and low cost tool to identify patients at increased risk for diastolic dysfunction.

Background: Immune checkpoint inhibitors (ICIs) have transformed cancer therapy but may increase thrombotic risk through immune-mediated inflammation. While venous thromboembolism is a known complication in cancer, real-world data quantifying the incidence of pulmonary embolism (PE) and deep venous thrombosis (DVT) specifically in ICI-treated patients remain limited. Methods: We conducted a retrospective cohort study of cancer patients treated with ICIs at a tertiary institution from 2011 to 2022. Electronic health records were reviewed to identify cases of PE and DVT, along with baseline characteristics and clinical outcomes at one-year follow-up. Rates of PE and DVT were compared to those reported in the literature. Time-dependent Cox regression analyses were performed to assess associations of PE and DVT with one-year all-cause mortality and heart failure (HF), defined as a new diagnosis and/or HF exacerbation/hospitalization. Results: Among patients treated with ICI, the incidence of PE and DVT was 10.6% and 8.3%, respectively. These rates are higher than those reported in several prior studies, where PE incidence in patients treated with ICI typically ranged from 3% to 6% and DVT incidence from 3% to 5%. A history of valve disease, lung cancer, and treatment with pembrolizumab or durvalumab were more frequently observed among patients with PE, whereas pembrolizumab use was most prevalent among those who developed DVT. In time-dependent Cox regression analyses, PE was significantly associated with increased one-year all-cause mortality (HR: 2.62, 95% CI: 2.12–3.23, p < 0.001) and showed a trend toward increased HF (HR: 1.63, 95% CI: 0.96–2.75, p = 0.070). Similarly, DVT was also associated with significantly higher one-year all-cause mortality (HR: 2.63, 95% CI: 2.10–3.31, p < 0.001) and a significantly greater risk of HF (HR: 1.80, 95% CI: 1.03–3.15, p = 0.040). Conclusion: In this real-world cohort study, PE and DVT were more frequent than previously recognized in ICI-treated cancer patients and were associated with significantly increased risks of all-cause mortality and heart failure. Conditions such as valve disease, lung cancer, and specific ICI therapies (e.g., pembrolizumab or durvalumab) may help identify patients at higher thrombotic risk. These findings underscore the importance of vigilant thrombotic risk assessment and may support the need for proactive monitoring or prevention strategies in high-risk patients receiving ICI therapy.

BACKGROUND: The performance of estimated glomerular filtration rate (eGFR) among patients with heart failure (HF) may be worse than in the general population due to a higher prevalence of confounding factors affecting creatinine and cystatin C. Studies in this area are scarce and not stratified by type of HF. We evaluated the performance of current creatinine and cystatin C equations (eGFRcr, eGFRcys, and eGFRcrcys) compared with measured GFR (mGFR) among patients with HF stratified by ejection fraction. METHODS: We pulled data on Mayo Clinic patients with an mGFR performed for clinical indications from 2011 to 2023, with serum creatinine and cystatin C measured within 7 days and an echocardiogram performed up to 1 year before the mGFR date. HF was identified by the presence of International Classification of Diseases codes within 1 year before the mGFR and subgrouped into ejection fraction (EF) ≥50% (HFEF≥50%, n=182) or <50% (HFEF<50%, n=115) and compared with no-HF controls (n=1871). CKD-EPI (and EKFC) eGFRcr, eGFRcys, and eGFRcrcys equations were calculated and compared for bias (mGFR minus eGFR) and accuracy (1-P30, proportion of people with ≥30% difference between eGFR and mGFR). CIs were generated by bootstrapping. RESULTS: The HF groups were characterized by older age, higher proportion of males, more diabetes, higher creatinine, and higher cystatin C than controls. In terms of bias, eGFRcr overestimated mGFR to a greater extent in both HF groups compared with controls, whereas eGFRcys and eGFRcrcys showed similar bias in both HF groups and controls. In the HF groups, cystatin C-based equations were more accurate than eGFRcr, particularly within HFEF<50% (1-P30 of 28% and 34% for CKD-EPI eGFRcys and eGFRcrcys, respectively, versus 60% for eGFRcr), whereas eGFRcrcys was more accurate in controls. The CKD-EPI and EKFC equations were overall convergent, showing similar results. CONCLUSIONS: Among patients with HF, eGFRcr demonstrates inferior performance (more bias and less accuracy) compared with cystatin C-based eGFRs, with this effect being more pronounced in those with HFEF<50%.

Abstract Background Endocrine therapy has been the mainstay treatment for metastatic hormone receptor-positive / HER2-negative (HR+/HER2-) breast cancer. Given that cell cycle dysregulation and consequent uncontrolled cellular proliferation is a key mechanism behind cancer growth, agents targeting this pathway have been of major therapeutic interest.[1] The cyclin-dependent kinase 4/6 (CDK 4/6) inhibitors palbociclib, ribociclib, and abemaciclib have shown a synergistic effect in combination with endocrine therapy.[2-3] Despite favorable results, post-approval studies have revealed potential concerns for cardiotoxicity. [4] Given this, we sought to characterize the incidence and outcomes of atrial arrhythmia among metastatic HR+/HER2- breast cancer patients who were treated with CDK 4/6 inhibitors at our institution. Purpose To investigate the incidence and risk factors of atrial arrhythmia among hormone receptor-positive/HER2-negative breast cancer patients treated with CDK4/6 inhibitors at our institution. Methods A retrospective cohort study was conducted among 2754 patients ≥18 years of age who received treatment with CDK4/6 inhibitors (palbociclib, ribociclib, or abemaciclib) for an established diagnosis of hormone receptor-positive, HER-2 negative breast cancer between 2015-2024. Patients with new onset atrial fibrillation and/or flutter were identified through chart review. The cumulative incidence of new-onset atrial arrhythmia was estimated using the Kaplan-Meier method. Univariable and multivariable Cox regression analyses were performed to identify predictors of atrial arrhythmia. Results A total of 2754 patients was included in the study; 97.3% were female and mean age was 61 years (13). Among these, 101 (3.6%) had a prior history of atrial arrhythmia. The 1-year and 5-year cumulative incidence of new-onset AA were 1.1% and 2.8% respectively (Figure 1). When stratified by specific CDK4/6 inhibitor agents, there was no statistically significant difference. On univariable analysis, age at treatment, hypertension, coronary artery disease, and peripheral vascular disease were associated with new-onset atrial arrhythmia. However, following multivariable adjustment, only age at treatment was statistically significant. Conclusions New-onset atrial arrhythmias may occur during or after CDK4/6 inhibitor use. Older patients appeared to have a higher risk. There were no clear differences in atrial arrhythmia risk between the three CDK4/6 inhibitors.

ABSTRACT Background Atherothrombosis, the main event leading to acute coronary syndrome (ACS), is strongly linked to disturbed blood flow (d-flow) regions. Although the involvement of the Hippo pathway and its kinases Large Tumor Suppressor Kinase 1and 2 (LATS 1 and 2) in mechanical stress responses is known, the mechanisms by which d-flow simultaneously induces senescence, proliferation, and atherothrombosis remain unclear. Methods The role of endothelial cells (EC)-specific LATS1/2 was examined using EC specific knock-out (EKO) mice in a partial left carotid ligation (PLCL) model. Plaque spatial multi-omics analysis was performed by integrating imaging mass cytometry, sequential immunofluorescence (COMET™), and spatial metabolomics at the single-cell level in human and mouse atherosclerotic plaques. Results In tamoxifen-inducible Lats1 homo( -/- ) / Lats2 homo( -/- ) EC-specific knockout (EKO) mice, deletion of LATS1/2 induced by tamoxifen led to fatal outcomes, characterized by severe systemic edema and markedly increased vascular permeability. In contrast, Lats1 het(+ /- ) / Lats2 homo( -/- ) -EKO mice survived and developed atherothrombotic plaques exhibiting neovascularization even without further additional dietary or genetic intervention. Spatial proteomics analysis revealed that LATS1/2 depletion in ECs triggered a senescence-associated stemness (SAS) phenotype, primarily driven by CD38 upregulation. Complementary spatial metabolomics profiling demonstrated a significant increase in sulfite and taurine within LATS1/2-deficient plaques, indicating lowered sulfite oxidase (SUOX) activity. Mechanistically, CD38 upregulation was found to suppress SUOX expression, induce the reverse mode of mitochondrial complex V, and increase succinate dehydrogenase (SDH) activity along with ATP consumption. Paradoxically, despite ATP depletion, this metabolic disturbance enhanced glutamate metabolism and the tricarboxylic acid (TCA) cycle, sustaining EC proliferation under energetically stressed conditions. The combined effect of LATS1/2 deletion and CD38 activation established a unique EC phenotype defined by increased SAS, leading to proliferation, senescence, and eventual cell death. These pathological processes culminated in the formation of atherothrombotic plaques, which were attenuated by inhibition of CD38. Notably, a similar phenotype—marked by metabolically active ECs—was observed in human atherothrombotic plaques, suggesting translational relevance. Conclusion Loss of LATS1/2 in ECs induces SAS state that promotes excessive EC proliferation, senescent cell accumulation, and the development of structurally fragile, leaky neo vessels—hallmarks of atherothrombotic lesions. CD38-mediated SUOX deficiency further amplifies this pathological process by inducing mitochondrial dysfunction, depleting ATP, and triggering compensatory upregulation of glutamate and TCA cycle metabolism. These findings identify a novel LATS1/2–CD38–SUOX axis in ECs that orchestrates SAS-driven atherothrombosis. Targeting CD38 may represent a promising therapeutic strategy to mitigate vascular dysfunction and plaque instability in high-risk ACS patients. Graphical abstract Under normal physiological conditions, LATS1/2 and Lamin A work together to suppress CD38 expression. Lamin A binds directly to the CD38 promoter to repress transcription, and LATS1/2 interact with Lamin A to reinforce this suppression. This collaboration helps maintain low CD38 activity and preserves cellular NAD⁺ levels. However, under disturbed flow (d-flow), both LATS1/2 and Lamin A are downregulated. The loss of this dual repression leads to increased CD38 NADase expression. Elevated CD38 accelerates NAD⁺ consumption, causing NAD⁺ depletion—a hallmark of cellular senescence. Reduced NAD⁺ disrupts key metabolic and stress-response pathways, contributing to the onset of the senescent state. At the same time, CD38 suppresses sulfite oxidase (SUOX), leading to sulfite accumulation and mitochondrial redox imbalance. This shift activates the reverse mode of mitochondrial Complex V, which decreases ATP production and increases mitochondrial ROS, intensifying metabolic and oxidative stress in endothelial cells (ECs). In response, ECs compensate by upregulating succinate dehydrogenase (SDH), enhancing TCA cycle activity and glutamate metabolism. This metabolic adaptation provides the biosynthetic building blocks needed for cell growth and proliferation. As a result, ECs adopt a paradoxical phenotype: they show classical features of stress-induced senescence (such as NAD⁺ depletion, oxidative stress, and cell cycle arrest signals), while simultaneously undergoing metabolic activation and proliferation, also mediated by YAP. This defines a non-canonical endothelial program known as senescence-associated stemness (SAS), characterized by the formation of abnormal, proliferative, yet fragile neovessels. These dysfunctional vessels contribute to atherothrombosis, setting this process apart from the more stable lesions typical of conventional atherosclerosis.

Abstract Background Anthracyclines (ACs) are a risk factor for heart failure (HF), but their impact on broader composite outcomes such as major adverse cardiovascular events (MACE) remain less well characterized. From the Rochester Epidemiology Project, we identified patients with breast cancer or lymphoma to assess for association between AC use and MACE in these patients with > 25 years of follow-up. Methods We identified patients with cancer, with or without an AC as first-line treatment, and a control group of individuals without cancer, matched by age, sex, and cardiovascular comorbid conditions to the cancer patients. Outcomes of interest were 3-MACE (myocardial infarction, stroke, and cardiovascular death), and 4-MACE (3-MACE plus HF). Cox regression analysis was used to identify variables associated with MACE at 5, 10, and 25 years of follow-up. Results Of 812 patients with cancer, 675 had AC treatment (AC group) and 137 did not (no-AC group); the control group comprised 1,384 matched patients without cancer. The risk of 3-MACE was similar among the 3 groups at all time points. Older age, male sex, and hypertension were associated with 3-MACE. The risk of 4-MACE was similar between the control and no-AC groups; the risk was increased for the AC group vs controls at all time points. Older age, male sex, smoking history, type 2 diabetes, and hypertension were associated with 4-MACE. Conclusions Cardiovascular risk factors are the main drivers of 3-MACE and ACs increase the risk of 4-MACE given their association with HF. This underscores the importance of implementing lifestyle changes among these patients.

e24015 Background: Anthracyclines are effective cancer therapeutics but can cause cardiotoxicity. Recent studies suggest a connection between efficacy and toxicity in that the effects of anthracyclines on cancer cells leads to the release of interleukin 1-alpha (IL-1⍺), which negatively impacts cardiomyocyte metabolism and thereby cardiac function. This observation was made in in vivo and in vitro models of acute myeloid leukemia (AML); whether this holds true for other cancer cell lines remains unclear. Methods: Herein we characterized the cytokine profile of 9 cancer cell lines exposed to doxorubicin (1 µM for 24 hours) and then tested the effects of interleukin 1-alpha (IL-1⍺, 50-150 ng/mL) on the viability and metabolism of neonatal cardiomyocyte. We used Seahorse to assess cardiomyocyte glycolysis via extracellular acidification rate (ECAR) and mitochondrial oxidative phosphorylation based on the oxygen consumption rate (OCR). Results: As outlined in Table 1, different hematological and breast cancer cell lines showed a range of cytokine profile in response to doxorubicin exposure. Of the cytokines with putative action on cardiomyocyte metabolism IL-1⍺was one of the most induced in 3 out of 5 murine breast cancer, murine B- and T-cell lymphoma, as well as murine and human AML human and murine cell lines. Doxorubicin did not induce IL-1⍺ expression in macrophage cell lines (RAW) or directly in cardiomyocytes. Exposing neonatal cardiomyocytes to different concentrations of IL-1⍺ did not decrease but rather increased OCR and especially ECAR. Conclusions: These data confirm the release of IL-1⍺ from AML as well as several, but not all breast cancer cell lines. Furthermore, purified IL-1⍺ increased oxidative phosphorylation and glycolysis in murine neonatal cardiomyocytes. These data point out heterogeneity in the cytokine release pattern from anthracycline-treated cancer cell lines and their impact on cardiomyocyte metabolism. Further studies are required to define the nuances of crosstalk between cancer and the heart and its contribution to the variation in cardiotoxicity risk. Cytokine profile of cancer cell lines. Cytokines RAW Neonatal MC38HuPD-L1 EMT6 JC E0771 4T1 B Lymphoma: A20 T Lymphoma: E.G7-OVA AML Human: THP-1 AML mouse: C1498 ICAM-1, CD54 ++ ++ ++ ++ ++ ++ IL-1α IL-1F1 + + + + + + + IL-10 + + IL-16 ++ ++ ++ CXCL10/CRG-2 ++ + ++ ++ ++ ++ ++ ++ ++ M-CSF ++ ++ ++ + ++ ++ ++ ++ + RANTES CCL5 + ++ ++ ++ ++ TNF-α +++ + ++ + + + + +

5041 Background: Prior studies suggest that chemotherapy-naïve pts with mCRPC treated with AA have a higher CV event-related hospitalization risk than those treated with ENZA. To further explore this association, this real-world, comparative causal inference study used a large US dataset to assess CV event risk in chemotherapy-naïve pts with mCRPC who initiated treatment (Tx) with ENZA or AA and provide outcome data based on history of (h/o) CV disease (CVD). Methods: Using US Medicare fee-for-service claims (Jan 2010–Dec 2022), we identified chemotherapy-naïve pts aged ≥65 years with mCRPC who initiated ENZA or AA between Sep 2014 and May 2017. The primary endpoint was a 4-point major adverse CV event (MACE-4; composite of acute myocardial infarction [AMI], stroke, unstable angina/revascularization [UA/R], and heart failure). Atrial fibrillation (AFib), venous thromboembolism (VTE), and all-cause death were also analyzed. Groups were propensity score matched (PSM) to adjust for differences in pt characteristics, assessed using standardized mean difference (SMD). Cause-specific Cox proportional hazards models were used to comparethe risk of CV outcomes between intention-to-treat cohorts, with death as a competing event. Subgroup analyses were conducted based on h/o CVD. Sensitivity analysis was performed with a MACE-5 endpoint, defined as MACE-4 or CV-related death. Results: Of 6319 pts in the total study population (ENZA: 2934; AA: 3385), 2913 PSM pts were included from each group. The ENZA and AA cohorts had similar baseline characteristics even before PSM (SMD<0.1), with a mean (standard deviation) age of 78.8 (7.3) years; 76% of pts had prior CVD. Compared with pts on ENZA, pts on AA had a significantly higher risk of experiencing MACE-4—particularly UA/R—as well as a higher risk of AFib and VTE (Table). Similar results were found in the subgroup of pts with a h/o CVD and the sensitivity analyses. Additionally, pts on AA had a higher risk of all-cause death than pts on ENZA, regardless of CVD history (h/o CVD hazard ratio [HR]: 1.14, 95% confidence interval [CI]: 1.07–1.21, P =0.0001; no h/o CVD HR: 1.12, 95% CI: 1.01–1.26, P =0.036). Conclusions: This matched analysis of US Medicare beneficiaries showed an increased risk for MACE-4, AFib, and VTE in pts with mCRPC treated with AA compared to ENZA, in the overall pt population and pts with a h/o CVD. The risk of all-cause death was higher with AA in all pts. These findings provide insights into Tx decision-making for pts with mCRPC, especially those at high risk of CV events. Outcomes HR* (95% CI) P -value MACE-4 1.12 (1.02–1.24) 0.028 AMI 1.01 (0.76–1.32) 0.987 Stroke 0.92 (0.70–1.20) 0.505 UA/R 1.13 (1.01–1.26) 0.041 Heart failure 1.19 (0.90–1.58) 0.237 AFib 1.73 (1.31–2.29) 0.0001 VTE 1.37 (1.02–1.85) 0.037 All-cause death 1.13 (1.07–1.19) 0.0001 *ENZA = reference group.