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Background Admixture mapping can be leveraged to identify genomic loci associated with disease traits in admixed individuals such as Hispanic Americans. Methods and Results We characterized fine‐scale population structure of participants (n=105 108) in the multiethnic eMERGE‐III (electronic Medical Records and Genomics) cohort, using reference panels from the 1000 Genomes Project and a Native American cohort. We defined “genetically admixed Hispanic Americans” as those having ≥10% Native American genetic ancestry (n=5025), in addition to European (specifically, Iberian) and African genetic ancestry. This population descriptor was subsequently applied to 3 other cohorts: the MESA (Multi‐Ethnic Study of Atherosclerosis; n=1176), WHI (Women’s Health Initiative; n=2873), and the HCHS/SOL (Hispanic Community Health Study/Study of Latinos; n=7804). We inferred local ancestry along the genome in genetically admixed Hispanic Americans in each cohort using RFMix2 with phased haplotypes from SHAPEIT2. Local ancestry proportions were used for admixture mapping of lipid traits (low‐density lipoprotein cholesterol, high‐density lipoprotein cholesterol, total cholesterol, and triglycerides) using extended linear mixed models that incorporated multiple or single ancestries. After accounting for fixed‐effect covariates and random effects, ancestry proportions at the following loci were associated with lipid traits in the HCHS/SOL cohort: 11q12.2 ( P =6.8×10 −7 ) with low‐density lipoprotein cholesterol, 2p23.3 ( P =5.2×10 −7 ) with total cholesterol, and 11q23.3 ( P =7.3×10 −12 ) with triglycerides. The LDL cholesterol and triglyceride loci replicated in at least one independent cohort, whereas the total cholesterol locus showed suggestive evidence for replication in the eMERGE cohort ( P =0.073). Native American (NAMR) ancestry appeared to drive the LDL‐C association, whereas both NAMR and Iberian population in Spain (IBS) ancestries contributed to the triglyceride signal. Conclusions Admixture mapping in genetically admixed Hispanic Americans identified genomic loci influencing lipid traits and the different ancestral origins driving these associations.

Background: Macromastia causes significant physical and psychological distress in adolescents. Although reduction mammaplasty alleviates these symptoms, the mental health impact of macromastia in younger populations remains underexplored. This systematic review and meta-analysis aimed to evaluate mental health and quality of life outcomes in adolescents/young women undergoing reduction mammaplasty. Methods: A systematic search of PubMed, Embase, and the Cochrane Central Register of Controlled Trials was conducted from inception to September 2024. Studies reporting mental health or quality of life outcomes through the BREAST-Q, Short Form-36, Rosenberg Self-Esteem Scale, and Eating Attitudes Test were included. Odds ratios and mean difference with 95% confidence intervals were pooled using a random-effects model. Heterogeneity was assessed with I 2 statistics. The Risk of Bias in Nonrandomized Studies of Interventions tool was used to assess study quality. Meta-analysis was performed on 4 BREAST-Q domains. Results: Of 701 articles identified, 8 observational studies involving 660 patients were included. Pooled BREAST-Q scores postsurgery showed significant improvements across all 4 domains. Improvement in Short Form-36, Rosenberg Self-Esteem Scale, and Eating Attitudes Test scores was noted in individual studies, though meta-analysis was limited by incomplete data. Conclusions: These results indicate that reduction mammaplasty significantly improves the physical, psychosocial, and sexual well-being of adolescents/young women with macromastia.

Background: Paroxysmal atrial fibrillation (AF) is a common arrhythmogenic complication in the intensive care unit (ICU) associated with significant costs and morbidity. AF detection models in the literature have utilized entropic analyses of telemetry to diagnose AF, but they have not been utilized to forecast its onset. Hypothesis: Deep learning techniques applied to high-frequency telemetry data can be utilized to forecast AF with clinically significant lead time. Methods: Telemetry data were collected from 72 ICU monitored beds in a tertiary care center from 4/2018-12/2023. Coefficient of sample entropy (COSEn), a metric of heart rate variability complexity, was calculated on successive 1-minute windows and utilized to identify areas of AF initiation as well as control windows without AF. ECG lead II (256Hz) and beat-to-beat (B2B) measurements were analyzed by the MOMENT time-series foundational model to generate representation embeddings. A binary classification multilayer perceptron (MLP) was trained on these embeddings to forecast AF onset 5m in advance. All results were reported on separate test sets. Group-based trajectory modelling (GBTM) was performed on risk score trajectories from the 20m before AF onset or absence. Results: Over 230,000 hours of B2B data from 2263 patients was analyzed using COSEn to identify 287 transitions to AF from 136 patients. The same number of AF-absent windows were randomly selected. COSEn alone as a forecaster produced an area under the receiver operating characteristic curve (AUC) of 0.65 (95% CI: 0.61-0.69). The MOMENT + MLP model (MMM) achieved an AUC of 0.81 (0.78-0.83) (Fig. 1). COSEn and MMM were subsequently applied to the two hours preceding AF onset or absence. For COSEn, the mean risk trajectory dipped in the baseline period whereas the MMM risk trajectory sustained a high level through the baseline, highlighting its capacity to forecast AF (Fig. 2). For AF patients, GBMT yielded two types of trajectories: one with elevated risk throughout, and another with a rising trend 5 minutes prior to AF onset (Fig. 3). Conclusions: Deep learning techniques can forecast the onset of AF with up to 5 minutes of lead-time and GBTM allowed for the identification of different pre-AF risk trajectory phenotypes.The ability to forecast AF onset has potential to clinically prevent poor outcomes in the ICU, though further refinements to augment the amount of lead time are warranted.

Background: Inclisiran, a small interfering RNA (siRNA), inhibits hepatic PCSK9 synthesis, leading to significant LDL-C reduction. Previous meta-analyses have addressed short-term efficacy; however, recent long-term data warranted an updated systematic review and meta-analysis to evaluate inclisiran’s lipid-lowering efficacy and safety in hyperlipidemic patients. Methods: A systematic search of PubMed, Embase, Cochrane Library, and ClinicalTrials.gov was conducted from inception to April 2025 to identify randomized controlled trials (RCTs) comparing inclisiran with placebo or standard care in adults with hypercholesterolemia. Primary efficacy outcomes included percentage change in LDL-C, PCSK9, total cholesterol, apolipoprotein B (apo-B), and non-HDL-C. Safety outcomes included adverse events, cardiovascular events, and all-cause mortality. Data were analyzed using a random-effects model following PRISMA guidelines. Risk ratios (RR) and weighted mean differences (WMD) were calculated with 95% confidence intervals. The protocol was registered on PROSPERO (CRD420251059229). Results: Eleven RCTs with 5,601 patients were included; 3,135 received inclisiran and 2,466 received placebo. Inclisiran significantly reduced: LDL-C (WMD –48.99%, 95% CI: –54.29 to –43.69) PCSK9 (WMD –78.52%, 95% CI: –81.52 to –75.51) Total cholesterol (WMD –31.21%, 95% CI: –33.47 to –28.56) Apo-B (WMD –40.09%, 95% CI: –43.43 to –36.75) Non-HDL-C (WMD –35.22%, 95% CI: –41.25 to –29.20) Inclisiran showed no significant impact on all-cause mortality (RR 0.94; p=0.83), cardiovascular mortality (RR 1.19; p=0.60), myocardial infarction (RR 0.85; p=0.60), stroke (RR 0.89; p=0.86), or major adverse cardiovascular events (RR 0.80; p=0.07). Total adverse events were slightly higher with inclisiran (RR 1.06; p=0.02), but serious adverse events were not significantly different (RR 0.90; p=0.36). Injection site reactions were more common with inclisiran (RR 6.45; p<0.001). Conclusion: Inclisiran significantly reduces LDL-C, PCSK9, total cholesterol, apo-B, and non-HDL-C, confirming strong lipid-lowering efficacy. It is generally well tolerated, with a slightly higher incidence of mild injection site reactions but no increase in serious adverse events. Longer-term studies are needed to assess its effect on cardiovascular outcomes.

Background: The arteriovenous fistula (AVF) is a requirement for hemodialysis therapy in end-stage kidney disease (ESKD) patients. A consequence of AVF creation is compensatory cardiovascular hemodynamics, which are subsequently associated with cardiac remodeling. Relatedly, cardiovascular mortality and morbidity are elevated in ESKD patients, which worsens in dialysis patients. Currently, no suitable uremic large animal models exist to investigate the underlying mechanisms of AVF-induced cardiac remodeling. Research Question: This study aims to characterize cardiovascular changes secondary to AVF creation, supported by percutaneous transluminal angioplasty (PTA), in a uremic pig model. Methods: Chronic kidney disease (CKD) was induced via renal embolization, followed by AVF creation 28 days later. The AVF was created by anastomosis of the left common carotid artery to the left external jugular vein. AVF stenosis was alleviated 28 days thereafter via PTA, and cardiac MRI was performed at 14-, 28-, and 42-days post-PTA. Results: Increased end-diastolic volumes were observed in the left and right ventricles at day 42 vs 14 (200.8ml to 249.5ml, p=0.0457, and 204.6ml to 260.0ml, p=0.0268 respectively), while systolic function was preserved. Left ventricle (LV) stroke volume and blood flow through the aorta, pulmonary artery, and vena cava were also increased. In perivascular areas of the free wall of the LV at day 42 vs control, senescence markers showed increased p16 expression (fold change 10.21, p=0.0086) and decreased p21 expression (fold change 0.07, p=0.0357). The LV showed perivascular fibrosis (0.2% to 0.59%, p=0.021), via picrosirius red, reduced collagen-type IV expression (fold change 0.81, p=0.0089), and increased MMP2 levels (fold change 14.33, p=0.0213). Cardiomyocyte cross-sectional area was increased (from 800.9 µm 2 to 1250.0 µm 2 , p=0.0296), without CD4+ or CD68+ cell LV infiltration. Conclusion: In conclusion, AVF creation leads to modified left and right ventricular function and increased peripheral flow, potentially mediated by cellular senescence and fibrosis, resulting in progressive cardiac remodeling. This model of uremic kidney disease can now be used to evaluate mechanisms of AVF induced cardiac disease and test the efficacy of therapeutics like senolytics and anti-fibrotic agents.

Background: Coronary microvascular dysfunction (CMD) is a common cause of angina with non-obstructive coronary arteries (ANOCA), but its role in patients with a history of myocardial infarction with non-obstructive coronary arteries (MINOCA) is much less understood. We investigated the incidence of major adverse cardiac and cerebrovascular events (MACCE) in patients undergoing invasive assessment for CMD, divided into patients with MINOCA versus patients with ANOCA. We hypothesized that CMD would be common in both groups. Methods: Serial patients undergoing invasive coronary provocation testing between 2012 and 2022 were divided into MINOCA (n=76) or ANOCA (n=561). Doppler study was performed in the left anterior descending artery. CMD was defined as either coronary flow reserve (CFR) <2.5 with adenosine or <50% increase in flow with acetylcholine. Patients were followed prospectively through 2025. Incidence of MACCE (cardiac death, non-fatal MI, hospitalization for heart failure, urgent revascularization, and stroke) was compared between MINOCA and ANOCA and further analyzed by CMD status. Kaplan-Meier curves were constructed and Cox proportional hazards models were used to estimate hazard ratios (HRs). Results: Among patients with MINOCA, 53 of 76 (70%) had CMD, compared to 363 of 561 (65%) with ANOCA. Invasive provocation testing was performed a median of 163 days (IQR 13 – 255 days) after the MI in the MINOCA group. Patients were then followed for a median of 4.4 years (IQR 3.0 – 6.9 years). MACCE-free survival was significantly lower in patients with MINOCA compared to those with ANOCA (HR = 3.57, p < 0.001; Figure 1). The major contributor to MACCE was non-fatal MI in MINOCA (24%) and heart failure hospitalization in ANOCA (6%). The presence of CMD was associated with worse prognosis in both MINOCA (HR = 3.76, p = 0.02) and ANOCA (HR = 8.35, p < 0.001; Figure 2). Conclusions: Patients with MINOCA experience significantly higher long-term risk of major adverse events compared to those with ANOCA. CMD is common in both groups and is independently associated with worse outcomes. Specifically, patients with CMD had higher rates of MACCE over time, regardless of whether they presented with MINOCA or ANOCA. Invasive assessment of CMD in patients with myocardial infarction and non-obstructive coronary arteries may improve risk stratification and inform management strategies in these understudied populations

Introduction: Diabetes affected 529 million people globally by 2021, largely due to rising obesity contributing to Type 2 diabetes (DM2). In the U.S., it is the seventh leading cause of death and closely linked to cardiovascular disease, the leading cause of mortality in this population. Effective, low-cost strategies to improve glycemic and cardiometabolic health are essential. Psyllium, a viscous soluble fiber, has been shown to lower LDL cholesterol and improve glycemic indices, whereas non-viscous fibers like wheat dextrin lack similar benefits. Emerging lipid markers such as ceramides are associated with cardiometabolic risk but have not been studied in response to fiber. The interaction between fiber and GLP-1 agonists is also unclear. Hypothesis: Psyllium supplementation will improve cardiometabolic markers more than wheat dextrin in people with DM2. Methods: In this randomized trial at Mayo Clinic, adults with DM2 (HbA1c 6.5–10%) were randomized to psyllium or wheat dextrin for 12 weeks. Participants were recruited via electronic health records. Key exclusions: GI disease, bariatric surgery, steroid use, and pregnancy. Follow-up visits occurred at weeks 4, 8, and 12. Primary endpoints were changes in HbA1c and fasting glucose; secondary endpoints included lipids, ceramides, hsCRP, and BMI. An ex post facto analysis evaluated GLP-1 use. Primary analysis was intention-to-treat. Adherence = ≥85% dose completion. Results: Ninety-eight participants enrolled (Psyllium n=50, Dextrin n=48) with similar baseline characteristics. At 12 weeks, psyllium significantly reduced HbA1c (-0.38 ± 0.69, p=0.002). Among adherent users, HbA1c dropped further (-0.41 ± 0.70, p=0.001) with reduced fasting glucose (-14.5 ± 38.2, p=0.013). Wheat dextrin showed no benefit. In subgroup analysis, GLP-1 users on psyllium saw greater HbA1c reductions than non-users (-0.45 vs. -0.23), while GLP-1 users on dextrin had no change (+0.06). No significant changes were found in ceramides, lipids, or BMI in any analysis. CRP trended lower in adherent psyllium users (p=0.055). Conclusion: Psyllium significantly reduced HbA1c over 12 weeks in DM2, especially in adherent and GLP-1–treated groups. Effects may be attributed to psyllium's ability to form a gel in the gastrointestinal tract, modulating nutrient absorption. No effects were seen on ceramides or lipids, likely due to low baseline levels in the latter. Psyllium appears to be a safe, accessible adjunct for glycemic control in DM2.

Case Description: Immune checkpoint inhibitors (ICIs) have transformed cancer therapy but are associated with immune-related adverse events, including cardiovascular toxicity. While ICI-myocarditis is rare but potentially fatal, thrombotic complications—such as venous thromboembolism, arterial occlusion, and non-bacterial thrombotic endocarditis (NBTE)—are underrecognized. These raise questions about the roles of malignancy-associated hypercoagulability versus ICI-induced effects. We present a case of NBTE and myocardial microthrombi mimicking ICI-myocarditis. A 76-year-old woman with metastatic adenosquamous lung cancer and recent DVT (on apixaban and aspirin) presented with worsening dyspnea three weeks after starting pembrolizumab (Image 1). One week earlier, CT pulmonary angiography and coronary angiography were unrevealing. On presentation, she was stable but had peripheral edema, a late diastolic murmur, and elevated hs troponin (706→657→656 ng/L). NT-proBNP was 11,500 pg/mL. Cardiac MRI showed mid-wall late gadolinium enhancement (LGE), myocardial edema, and elevated T2 values—findings concerning for ICI-myocarditis. She initially improved on intravenous methylprednisolone. A week later, brain MRI showed multifocal embolic infarcts. Doppler ultrasound revealed a new left-sided DVT. TEE showed no intracardiac thrombus but identified a thickened aortic valve with moderate-to-severe regurgitation, a thickened mitral A2 segment with moderate regurgitation, and a patent foramen ovale (PFO) with left-to-right shunting. Findings raised concern for NBTE with systemic embolism or paradoxical embolism. Anticoagulation was transitioned to heparin, then warfarin. She was discharged on oral prednisone without further cancer therapy. Two months later, she died suddenly. Autopsy revealed fibrin-rich vegetations on the mitral valve consistent with NBTE and thromboembolic infarcts in small myocardial arteries, without inflammatory infiltrates or myocardial scarring (Image 2 and 3). Conclusion: This case highlights NBTE and microthrombi as important mimics of ICI-myocarditis. Despite MRI features suggestive of inflammation, pathology confirmed ischemic injury. ICIs have been suggested to promote thrombosis through elevated factor VIII, von Willebrand factor, reduced protein S, and systemic inflammation. Clinicians should consider thrombotic mimics in ICI-treated patients with cardiac symptoms and abnormal imaging. Tissue diagnosis may be necessary to guide management.

Introduction: Artificial intelligence (AI) and wider digital technologies are accelerating healthcare systems’ attempts to address the financial and moral imperatives of improving health disparities and thus wider population health outcomes. Yet adoption has thus far been slower in less common conditions including carcinoid, its syndrome, and related heart disease especially amid wider system shocks like the COVID-19 pandemic and its lingering effects. This is the first known AI-augmented nationally representative analysis of mortality and disparities for these associations. Methods: Quantum BAyesian Machine learning-augmented Propensity Score translational (QBAM-PS) statistics with multivariable regression was performed on the largest all payor US inpatient dataset, the National Inpatient Sample. Results: Of the 208,257,049 adult hospitalizations from 2016-2022, 124,954 (0.06%) had carcinoid tumors. Of the 71,402 hospitalizations with carcinoid from 2016-2019, 26,711 (37.41%) had metastases, 2,835 (3.97%) had acute heart failure, and 2,042 (2.86%) died. But of the 53,552 hospitalizations with carcinoid from 2020-2022, diagnosed metastases (38.04%) had increased, as did acute heart failure (4.21%) and mortality (3.73%), while 0.04% had diagnosed COVID. In all adult hospitalizations from 2016-2019 by QBAM-PS multivariable regression controlling for clinical confounders and severity, carcinoid and carcinoid syndrome did not significantly increase mortality, but carcinoid was significantly less likely to be diagnosed among Hispanics (OR 0.73) and Asians (OR 0.46) compared to Caucasians, in addition to Medicare (OR 0.71) and VA (OR 0.65) compared to private insurance, and more likely to be diagnosed in the highest versus lowest income quartile (OR 0.124) (all p<0.001). By 2020-2022, carcinoid and its syndrome did not significantly increase the odds of COVID diagnosis. But again carcinoid was significantly less likely to be diagnosed in Hispanics (OR 0.68), Asians (OR 0.61), Medicare (OR 0.78), and VA (OR 0.59), while the highest income again increased diagnosis odds (OR 1.19) (all p<0.01). There were no mortality disparities within carcinoid during either time period. Conclusions: This large multi-year analysis supports improvements in metastatic carcinoid detection and heart disease management, including through the COVID pandemic, though amid persistent racial, insurance, and income disparities.

Background/Objective: Hypertension is the most prevalent chronic disease in primary care and a leading cause of cardiovascular morbidity and mortality. Despite existing guidelines, therapeutic inertia and suboptimal control persist. Large language models (LLMs) offer a potential valuable addition to augment clinical decision-making, yet their reliability for guideline-driven tasks remains unverified. This study evaluated the accuracy and safety of hypertension management recommendations generated by three LLMs compared to expert responses. Methods: Fifty-one clinical vignettes representing 17 core hypertension management concepts were constructed by hypertension experts. Each case was submitted to three LLMs (GPT-4, Gemini, MedLM) and a hypertension expert also wrote the “gold standard” answers. Three blinded expert reviewers rated each response on a 4-point accuracy scale, a binary safety (safe/unsafe) scale, and attempted to identify the source (LLM vs. expert) providing the response. Ratings were analyzed using mean scores, percentages of accurate and safe responses, and inter-rater agreement. Results: GPT-4 had the highest accuracy (83%) and safety (86%) scores among LLMs but remained inferior to expert responses (92% accuracy, 93% safety). Gemini and MedLM performed significantly worse (accuracy: 64% and 35%; safety: 73% and 39%, respectively). GPT-4 generated the most guideline-concordant responses (46%) among the three LLMs (Gemini 35%, MedLM 14%), but remains lower than experts’ responses (68%). Evaluators misidentified LLM responses as expert-written in 10 to 25% of cases, particularly with GPT-4. Inter-rater reliability for accuracy ratings was highest for expert-generated responses (ICC 0.81), with progressively lower agreement for GPT-4 (0.76), Gemini (0.70), and MedLM (0.68). A similar pattern was observed for safety and source discrimination ratings. The agreement was strongest for safety assessments and weakest for source discrimination. Conclusion: Among three tested LLMs, GPT-4 demonstrated closer agreement to expert decisions thereby showing greater potential for supporting hypertension management. However, current LLMs’ versions frequently produce inaccurate or unsafe recommendations and remain inferior to expert judgment. Human-in-the-loop supervision remains essential when deploying LLMs for clinical decision-making.