Citations

ABSTRACT Introduction Cardiac resynchronization therapy (CRT) improves clinical outcomes in patients with heart failure with reduced ejection fraction (HFrEF). However, data on its efficacy in patients with sarcoidosis and HFrEF are limited. Methods Using the TriNetX network, we identified patients with sarcoidosis, heart failure with a left ventricular ejection fraction (LVEF) below 35%, and either left bundle branch block (LBBB) or prolonged QRS duration ( > 150 ms) between 2014 and 2019. Patients were categorized into two cohorts: (1) those who received CRT and (2) those who received an ICD‐only implant. Five‐year outcomes included all‐cause mortality, all‐cause hospitalization, heart failure exacerbation, and the proportion of patients with improvement in LVEF to greater than 40% and greater than 50%. Results Out of 245 eligible patients, we identified a cohort of 87 patients (mean age 62.6 ± 9.5 years) who received CRT and 87 patients (mean age 62.1 ± 11.1 years) who received ICD‐only implant, with similar propensity scores, and included them in a comparative analysis. At 5‐year follow‐up, the CRT group demonstrated outcomes comparable to the ICD‐only implant group for all‐cause mortality (14.9% vs. 20.7%; HR 0.63; 95% CI 0.31–1.28; p = 0.19), all‐cause hospitalization (83.9% vs. 77.0%; HR 1.24; 95% CI 0.89–1.73; p = 0.19), and heart failure exacerbation (28.7% vs. 28.7%; HR 0.90; 95% CI 0.52–1.57; p = 0.72). The proportion of patients with improvement in LVEF to greater than 40% and greater than 50% was also similar in both groups (LVEF > 40%, 43.7% vs. 33.3%; HR 1.30; 95% CI 0.80–2.10; p = 0.29; LVEF > 50%, 31.0% vs. 17.2%; HR 1.72; 95% CI 0.92–3.24; p = 0.09). Conclusion CRT implantation had similar long‐term outcomes compared to ICD‐only implantation in patients with sarcoidosis and HFrEF, particularly all‐cause mortality, all‐cause hospitalization, heart failure exacerbation, and the proportion of patients with improvement in LVEF to greater than 40% and greater than 50%.

ABSTRACT Background Transvenous lead removal (TLR) in patients with a history of mediastinal radiation poses unique challenges due to potential radiation‐induced fibrosis, vascular changes, and anatomical distortion, which may increase procedural complexity and complication risk. However, contemporary data on clinical outcomes in this population remain limited. Methods We analyzed the National Readmissions Database (2016–2021) to identify adults (≥ 18 years) undergoing TLR. Patients were stratified by prior mediastinal radiation. Baseline characteristics were compared using standard statistical tests. Multivariable logistic regression was used to evaluate the association between prior mediastinal radiation and in‐hospital outcomes, 30‐day mortality, and 30‐day readmissions after adjustment for demographics and comorbidities. Results A total of 48,985 patients underwent TLR, of whom 735 (1.5%) had a history of mediastinal radiation. Compared with patients without radiation, those with prior radiation were older (70.1 vs. 66.2 years, p < 0.01), were more frequently females (38.2% vs. 31.6%, p < 0.01), and had higher rates of valvular heart disease, atrial fibrillation, and peripheral vascular disease. Adjusted analyses demonstrated no increased risk of in‐hospital mortality (2.3% vs. 3.4%; adjusted odds ratio [aOR] 0.65, 95% confidence interval [CI] 0.41–1.18, p = 0.29) or major complications, including cardiac arrest, pericardial complications, vascular injury, pulmonary complications, or embolic events. Similarly, (3.6% vs. 5.3%; aOR 0.76, 95% CI 0.48–1.43, p = 0.35) and 30‐day all‐cause readmissions (8.7% vs. 9.1%; aOR 0.81, 95% CI 0.64–1.28, p = 0.70) were not significantly different between groups. Subgroup analyses by indication for TLR (infection vs. mechanical complication) revealed no differences in outcomes. Conclusion Despite theoretical concerns, prior mediastinal radiation was not associated with excess procedural risk or worse short‐term outcomes after TLR. These findings may inform procedural planning and risk counseling in clinical practice.

Abstract Cerebrospinal fluid (CSF) cell-free DNA (cfDNA) is under evaluation as a liquid biopsy tool across multiple neuro-oncologic indications, including diagnosing lesions of uncertain etiology, delineating progression from pseudoprogression, and confirming suspected leptomeningeal disease (LMD). We evaluated the real-world performance of CSF cfDNA sequencing for identification of variant alleles (VA) using targeted panel sequencing (PredicineCARE) and/or copy number alterations (CNA) using low-pass whole-genome sequencing (LPWGS; PredicineSCORE) in a diverse cohort across three aforementioned indications. From 82 adult patients, 93 samples (92.4% from lumbar puncture and 7.6% from ventriculoperitoneal shunt taps) were analyzed. For CNS progression, gliomas were most frequently evaluated (60%); for LMD, metastatic disease was most common (86.7%). Median CSF volume utilized for analysis was 4.60 mL (range: 0.40-7.50 mL). Median cfDNA yield was 0.29 ng/mL (range: 0.00–1037.74 ng/mL). For lesions of uncertain etiology (n=40 patients, 1 sample/patient), VAs were identified in 10 samples (25%); an additional 10 samples had sufficient cfDNA for LPWGS (25%). 50% of samples in this indication had insufficient cfDNA for testing. For suspected progression (n=26 patients, 35 samples), VAs were identified in 6 samples (17.1%); an additional 14 samples underwent LPWGS (40%); 15 had insufficient cfDNA for further testing (42.9%). For suspected LMD (n=16 patients, 18 samples), VAs were quantifiable in 4 samples (22.2%); LPWGS could be performed in an additional 9 (50%); 5 had insufficient cfDNA (27.8%). Across indications, identification of known tumor-associated alterations in CSF, including those confirmed previously by tissue, served as a non-surgical diagnostic adjunct. In some patients, targetable mutations could be identified via CSF. Conversely, absence of such alterations and/or low cfDNA yields may lower suspicion for active neuro-oncologic disease, when evaluated alongside clinical history. Despite modest cell-free DNA yield, CSF cfDNA evaluation provides valuable information to aid clinical decision-making across neuro-oncologic indications.

Importance Primary brain and central nervous system cancer (collectively referred to as CNS cancer) comprises 2% of all human cancers and poses significant health and economic challenges in the United States. Objective To analyze CNS cancer burden in the US, stratified by time, location (state and division), sex, age group, and Sociodemographic Index (SDI). Design, Setting, and Participants This cross-sectional study involved a repeated analysis of Global Burden of Disease Study (GBD) 2021 data in 2024. Using data from 183 sources, CNS cancer metrics in the US were estimated across states and years. US CNS cancer metrics across all sexes and age groups were included in the GBD. Exposure CNS cancer diagnosis. Main Outcomes and Measures Overall and age-standardized estimates of the incidence, prevalence, mortality, disability-adjusted life-years (DALYs), years of life lost, and years lived with disability per 100 000 population, including 95% uncertainty intervals (UIs), and time trends. Results In 2021, for all age groups and sexes across the US, there were 31 780 incident cases (95% UI, 29971.1 to 32843.9). Age-standardized incidence, DALYs, and mortality rates per 100 000 population were 6.91 (95% UI, 6.58 to 7.12), 134.38 (95% UI, 129.83 to 137.95), and 4.1 (95% UI, 3.87 to 4.22), respectively. Despite no significant change observed in the overall incidence between 1990 and 2021, DALY and mortality rates decreased by 15.77% (95% UI, −17.75% to −13.68%) and 8.41% (95% UI, −11.09% to −6.22%), respectively. Substantial geographic variability was noted. Mississippi, Alabama, Kentucky, and Kansas (West North Central and East South Central divisions) and West Virginia faced persistently high burdens over the past 30 years. Sex differences were evident; disease burden was consistently higher in males compared with females. Age-specific estimates showed a bimodal distribution: the youngest group (&amp;lt;5 years) showed a significant decrease in incidence rate (−34.42% to −11.56%), whereas older age groups (&amp;gt;70 years) experienced increasing trends. DALYs and mortality rates were negatively correlated with SDI (ρ = −0.6860 and ρ = −0.6391; P &amp;lt; .001). Conclusions and Relevance These findings provide valuable insights into the CNS cancer burden across the US by age, sex, location, and SDI, enabling better public health status assessments, health care policy restructuring, and resource redistribution for improved care.

Clinical trial enrichment is the targeted recruitment of prospective individual patients with defined clinical characteristics who are likely to benefit from newly developed or repurposed drugs. This process is central to the success of clinical trials together with patient management and regulatory compliance. A main challenge in clinical trial enrichment lies in the recognition of a priori clinical parameters and information that informs drug efficacy or toxicity, particularly when intended for a broader unseen population. Although Artificial Intelligence (AI) approaches, especially large language models (LLMs), have been employed in many aspects of clinical trials, to our knowledge, there is no AI method that has been developed which offers a prospective prediction and assesses the extent to which a given therapeutic intervention benefits an unseen population. Here, we offer an outlook on how to build Artificial Clinic Intelligence (ACI), a generative AI (GAI)-powered modeling platform for modeling clinical trial enrichment. ACI generates synthetic patient data and models clinical trial enrichment to inform clinicians on key clinical parameters that are enriched in prospective patients prior to accrual.

Background: Effective risk factor modification, including management of obesity and diabetes mellitus (DM), is essential to mitigating cardiovascular complications after hematopoietic stem cell transplantation (HSCT). Given the growing use of GLP-1 receptor agonists (GLP-1 RAs), large-scale studies are needed to assess their cardiovascular impact in patients undergoing HSCT. Methods: Using the TriNetX network, we identified patients who underwent HSCT and had DM or obesity. Patients were categorized into two cohorts: those who received GLP-1 RAs and those who did not. Outcomes, including all-cause mortality, all-cause hospitalization, acute myocardial infarction (AMI), atrial fibrillation (AF), cerebrovascular accident (CVA), and heart failure (HF) exacerbation, were assessed at 1 year, 3 years, and 5 years follow-up. Cohorts were propensity score-matched based on medical comorbidities, transplant diagnoses, and conditioning regimens. Results: Of the initial 17,475 patients with HSCT and DM/obesity, 876 (5.0%, 46.0% females, mean age 58.4 +/- 11.3 years old) received GLP-1 RA and 16,599 (95.0%, 40.8% females, mean age 55.6 +/- 14.3 years old) did not. After propensity score matching, 873 patients were divided equally into each cohort (Table). GLP-1 RA was associated with lower odds of all-cause mortality (1-year: odds ratio [OR]: 0.53; 95% confidence interval [CI]: 0.38–0.76; p<0.01; 3-year: OR: 0.52; CI: 0.40–0.69; p<0.01; 5-year: OR: 0.44; CI: 0.33–0.58; p<0.01), all-cause hospitalization (1-year: OR: 0.74; CI: 0.61–0.89; p<0.01; 3-year: OR: 0.66; CI: 0.55–0.79; p<0.01; 5-year: OR: 0.72; CI: 0.59–0.87; p<0.01), and HF exacerbation (1-year: OR: 0.65; CI: 0.44–0.96; p=0.03; 3-year: OR: 0.59; CI: 0.43–0.81; p<0.01; 5-year: OR: 0.53; CI: 0.38–0.74; p<0.01), compared to the non–GLP-1 RA group. At 5-year follow-up, GLP-1 RA use was also associated with lower odds of AF (OR: 0.71; CI: 0.53–0.94; p=0.02). No significant differences were noted in AMI or CVA at 1-, 3-, and 5-years of follow-up. Conclusion: After propensity score-matching in this retrospective cohort study, GLP-1 RA use was associated with significantly lower odds of all-cause mortality, all-cause hospitalization, and heart failure exacerbation at 1-, 3-, and 5-year of follow-up in patients with DM/obesity who underwent HSCT. At 5 years, use of GLP-1 RA was associated with lower odds of AF.

Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) possess significant therapeutic potential for myocardial regeneration. However, clinical application remains constrained due to the immature phenotype of these cells, which impacts their engraftment as well as their electrical and mechanical integration post-transplantation into the injured heart. In particular, proper alignment of transplanted hiPSC-CMs is essential for synchronous contraction and efficient electromechanical coupling with native tissue. To address this critical clinical challenge, we engineered a tissue patch incorporating aligned electrospun nanofibers designed to enhance hiPSC-CM alignment and promote their structural maturation. Poly(caprolactone) (PCL) nanofibers were fabricated by electrospinning a 10% w/v solution in 1,1,1,3,3,3-hexafluoro-2-propanol at a flow rate of 0.5 mL/h. A voltage of 14 kV was applied to the spinneret and 3kV to the collector, positioned 13 cm away, with additional electrodes to induce fiber alignment. Scanning electron microscopy and ImageJ analysis confirmed fiber diameter and orientation. hiPSC-CMs (1 x 10 6 cells) were seeded onto fiber scaffolds with varied diameters (1.0, 1.5, and 2.0 μm) and densities (low: 20%, moderate: 30%, high: 40%). Among these, 1.5 ± 0.2 μm diameter fibers with a density of 40 ± 3% provided the most effective topographical cues for promoting cell elongation and alignment. Immunofluorescence staining demonstrated that hiPSC-CMs cultured on aligned fibers exhibited enhanced cytoskeletal organization along the fiber axis. Morphological assessment over time showed progressive alignment by day 3. Importantly, hiPSC-CMs cultured on aligned fibers demonstrated stronger and more synchronized contractile activity compared to those cultured on flat glass surfaces. Together, these findings suggest that our aligned nanofiber-based cardiac patch promotes the structural and functional maturation of hiPSC-CMs, highlighting their potential as an advanced platform for improving cardiac cell therapy outcomes.

Background: Patients with cardiac implantable electronic devices (CIEDs) undergoing radiation therapy face potential risks of device malfunction. Proton beam therapy (PBT), with its reduced neutron scatter, has emerged as a potentially safer alternative, yet real-world safety data remain scarce. Methods: We conducted a retrospective cohort study of 100 patients with CIEDs (76 pacemakers, 24 ICDs) who underwent PBT from 2016 to 2023 at a quaternary center. Baseline and serial device interrogations were performed before, during, and after treatment to assess lead impedance, capture thresholds, battery function, and arrhythmic events. Patients were stratified by pacemaker dependence and monitored accordingly. Primary outcomes included device malfunction and new-onset arrhythmias during treatment. Secondary outcomes included device parameter changes, one-year arrhythmia incidence, and cardiac-related hospitalizations. Results: No treatment-related deaths or major device failures occurred. Device malfunction was rare (2 pacemaker patients, 2.6%), with no malfunctions in ICD recipients. Transient, non-clinically significant changes in lead impedance and capture thresholds were observed. Arrhythmias during treatment occurred in 26% of pacemaker and 25% of ICD patients, but only 4% developed new arrhythmias. At one year, device-related complications and cardiac outcomes remained comparable across groups. Independent predictors of arrhythmias during treatment included a higher radiation dose per fraction (OR 1.45; p=0.001), a longer treatment duration (OR 1.12; p=0.04), and a higher number of fractions (OR 1.20; p=0.01). Conclusion: Proton beam therapy appears safe in patients with CIEDs, with a low incidence of clinically significant device malfunctions or arrhythmias. These findings support the integration of PBT into routine practice for this population and underscore the importance of structured monitoring protocols and prospective guideline refinement.

BACKGROUND: The association between breast cancer diagnosis, treatment, and the risk of incident ischemic stroke remains unclear. We aimed to investigate ischemic stroke risk among breast cancer survivors and evaluate the association by age, follow-up duration, and cancer treatments. METHODS: Using the Korean National Health Insurance Service database, we studied 113,232 women newly diagnosed with breast cancer (aged ≥18 years) without prior stroke history who underwent breast cancer surgery between January 2010 and December 2016. Each was matched 1:3 by birth year to a cancer-free female population (n=322,818). Subdistribution hazard ratios (sHRs) and 95% confidence intervals (CIs) were estimated, accounting for death as a competing risk and adjusting for sociodemographic factors and cardiovascular and noncardiovascular comorbidities. RESULTS: Over a mean follow-up of 7.2 years, ischemic stroke occurred in 1,155 (1.0%) breast cancer surgery survivors. Overall, breast cancer survivors had a slightly lower risk of stroke than cancer-free women (sHR 0.94; 95% CI 0.88–1.00). However, stroke risk was elevated in the short term following diagnosis (sHR 1.59, 95% CI 1.34–1.89 at 1 year; sHR 1.17, 95% CI 1.05–1.30 at 3 years) across all age groups, with stronger associations observed at 3 and 6 months post-diagnosis. A reduced risk was observed after 1 year in a landmark analysis that included only individuals event-free at the 1-year follow-up (sHR 0.87, 95% CI 0.81–0.93). Among breast cancer survivors, treatment with anthracycline (sHR 1.25) and the combination of tamoxifen and aromatase inhibitors (sHR 1.49) were associated with increased stroke risk, whereas radiation therapy was associated with decreased risk (sHR 0.84). These associations weakened and became nonsignificant after 1 year. Stroke risk was also higher in breast cancer survivors with low income, hypertension, diabetes, or current smoking. CONCLUSION: The association between breast cancer and ischemic stroke risk is time-dependent, with increased short-term risk post-diagnosis and treatment, followed by a decline over time. These findings highlight the importance of proactive stroke risk management, including baseline cardiovascular assessments and ongoing monitoring for thromboembolic events.

Purpose Large aneurysms have a higher rupture risk, yet no available in vivo animal model consistently produces large aneurysms for testing endovascular therapies. Recent research suggests that adding calcium chloride (CaCl 2 ) to elastase yields larger aneurysms in a surgical rabbit model. We evaluated whether this effect translates to an endovascular approach by comparing aneurysm sizes created using elastase alone versus a CaCl 2 –elastase combination. Methods Aneurysms were created in the right common carotid artery of New Zealand rabbits. One group received 1 mL porcine elastase; the other received elastase plus 0.055 g CaCl 2 (0.5 M). After four weeks, patency was confirmed via digital subtraction angiography. Two blinded co-authors measured the neck, width, and height of the aneurysms. Aneurysm volumes were estimated using AngioCalc.com. Statistical analyses were performed using either the Mann–Whitney U -test or t -test based on data distribution. Results Twenty-nine (29) New Zealand rabbits were included in the study: six in the CaCl 2 and elastase groups, 23 in the elastase-alone group. All induced aneurysms remained patent at follow-up. Mean neck size was significantly larger in the CaCl 2 + elastase group than in the elastase-alone group (4.4 ± 1.1 mm vs 3.5 ± 0.95 mm; respectively, p = 0.02). Differences in width (4.1 ± 0.92 mm vs 3.4 ± 0.36 mm; p = 0.06), height (9.0 ± 1.1 mm vs 9.1 ± 2.1 mm; p = 0.46), and volume (83.5 ± 38.35 mm ³ vs 53.0 ± 16.94 mm³; p = 0.11) were not significant between CaCl 2 + elastase and elastase-alone, respectively. Conclusions CaCl 2 modestly increased neck size but did not significantly enlarge overall aneurysm dimensions. Further studies are needed to assess its utility in endovascular aneurysm models.