Citations

Background: Atrial fibrillation (AF) is the most common sustained arrhythmia with prevalence increasing over the last decade. However, data on recent temporal trends in incidence of AF have been inconsistent, with some reports of increasing trends over time and others indicating no change in incidence over time. Therefore, we aimed to determine how the incidence of AF has changed over the last decade in a community in the Midwest USA. Methods: Between 2013 and 2023, adults (aged 18 and older) with incident AF were identified in a 27-county region in the Midwest. AF was identified using diagnostic codes by employing an electronic algorithm requiring 1 inpatient code or 2 outpatient codes separated by >7 days but within 1 year. For total rates, age - and sex-adjusted incidence rates were standardized to the 2010 US total population. Poisson regression was used to calculate the incidence rate ratio of AF for 2023 vs 2013. Results: We identified 44,930 individuals with incident AF from 2013 to 2023. Of these, 56.4% were male, the mean (SD) age was 72.8 (13.5) years, and 95.8% were non-Hispanic white. The age-and sex-adjusted incidence rates (per 1,000) and 95% confidence intervals standardized to the 2010 US total population were 5.24 (5.07-5.41) in 2013, 5.73 (5.56-5.91) in 2018, and 5.44 (5.28-5.61) in 2023. Although a drop in incidence was observed corresponding to the COVID-19 pandemic, a small increase in the overall incidence of AF was observed over time. The overall incidence rate ratio (95% CI) for 2023 vs 2013 was 1.07 (1.02-1.11), P=0.003. The incidence rates were higher in men compared to women and increased with older age ( Figure 1 ). However, differences in AF incidence by sex were greatest in the youngest age group and attenuated with older age (incidence rate ratio (95% CI): 2.18 (2.10-2.28) for ages 18-64 years, 1.76 (1.70-1.83) for ages 65-74 years, 1.38 (1.33-1.42) for ages 75-84 years, and 1.23 (1.18-1.28) for ages 85 years and older). Conclusion: In this 27-county region in the Midwest, although small in magnitude, a statistically significant increase in AF incidence was observed over time from 2013 to 2023. Furthermore, the incidence of AF was higher in men compared with women, especially in younger age groups.

Background: Spontaneous Coronary Artery Dissection (SCAD) is a cause of acute coronary syndrome, particularly among women, and is associated with psychological distress, including depression, anxiety, and post-traumatic stress (PTSD) symptoms. Fibromuscular dysplasia (FMD), a vascular condition that alters the arteries, is often found in patients with SCAD, adding complexity and uncertainty with a second serious diagnosis. This study examined the differences in mental health symptoms between SCAD survivors with and without FMD to better understand their unique psychosocial needs and inform interventions to enhance patient outcomes. Methods: Patients diagnosed with SCAD within the past 3 years were recruited from 6 Canadian cardiac hospitals. Participants completed questionnaires assessing socio-demographics, comorbidities, and validated psychological measures, including Patient Health Questionnaire-9 (PHQ-9) for depression, Generalized Anxiety Disorder-7 (GAD-7) for generalized anxiety, Cardiac Anxiety Questionnaire (CAQ) for cardiac-related anxiety, and PTSD Checklist (PCL-5) for PTSD symptoms. Differences in mental health outcomes between SCAD survivors with and without FMD were analyzed using t-tests for continuous variables and chi-square tests for categorical variables. Results: The study included 326 participants (92.9% female; mean age 53.3 years), with 67 participants (20.6%) having a confirmed diagnosis of FMD at the time of questionnaire completion (39.3% FMD at study completion). Post-SCAD, patients with FMD reported significantly higher scores than patients without FMD on the GAD-7 (6.4±5.9 vs. 4.7±4.9, p = .028), CAQ (29.9±13.1 vs. 26.0±12.3, p = .023), and PCL-5 (17.2±15.4 vs. 13.3± 14.0, p = .048). The proportion of SCAD survivors with FMD scoring in the clinically diagnostic range was significantly higher than those in patients without FMD: 32.8% vs. 20.8% for depression, 31.3% vs. 17.4% for anxiety, 64.2% vs. 49.2% for cardiac anxiety, and 25.4% vs. 11.6% for PTSD (all p < .05). Conclusions: Our findings suggest that SCAD survivors with comorbid FMD experience significantly higher distress —depression, generalized anxiety, cardiac-related anxiety, and PTSD symptoms—compared to those without FMD. Longitudinal research is needed to explore the role of these mental health concerns in long-term mental health and cardiac outcomes. Enhanced psychological interventions for those with FMD may be required.

Background: Digital health offers a potential solution to support adults with congenital heart disease (CHD), filling the critical gap to help maintain recommended lifelong care with adult CHD specialists. However, its design and implementation require a rigorous scientific approach to make it scalable and usable for the target population. Objective: To pilot test the acceptability and feasibility of a digital health intervention to support lifelong healthcare for adults with CHD. Methods: Using a community-based participatory research and a behavioral theory-based approach, we developed and piloted a digital tool, Empower My Congenital Heart (EmpowerMyCH), within the web—and mobile-based Eureka Digital Research platform at UCSF. Intervention components within EmpowerMyCH include exhibits (expert and peer-developed learning modules on CHD-related topics such as finding specialists or navigating visits, tests, procedures, etc.), peer support, and a digital medical passport (Figure 1). Participants receive an exhibit with study measure surveys every two months, with a two-month completion window. Participant satisfaction with the digital tool is measured at six months using the Client Satisfaction Questionnaire-8 (CSQ-8), a validated survey with scores ranging from 8 to 32; higher scores indicate higher satisfaction with the digital tool. Results: Of the 519 participants recruited, 495 were eligible adults with CHD, 445 consented, and 6 withdrew. The median age was 43 (ranging from 20 to 85) years, and 30.1% were males. Survey completion rate was the highest at 88.7% during the first two months after enrollment and 53.5% at 8 months. Of the five exhibits delivered so far, over 87% of participants rated the exhibits to be helpful (Figure 2). Participants found the exhibits readable, easily accessible, motivational, useful, and educational (Figure 3). The median (25th, 75th) CSQ-8 score was 21 (18, 25) among 144 participants who completed the survey. Conclusions: EmpowerMyCH, the digital health tool, appears to be acceptable to most adults with CHD to support and educate them in navigating their healthcare. The tool and its contents are accessible, user-friendly, and responsive to the needs of the CHD community, resulting in high satisfaction rates. The feasibility rates and satisfaction scores are similar to or higher for EmpowerMyCH than those of prior digital health studies. Future hybrid intervention trials can demonstrate EmpowerMyCH‘s effectiveness.

Background: Tricuspid regurgitation (TR) can lead to right ventricular failure (RVF) and poor clinical outcomes. The TriClip™ G4 transcatheter edge-to-edge repair (TEER) system has shown improved outcomes in TR patients and received FDA approval on April 2, 2024. The FDA’s Manufacturer and User Facility Device Experience (MAUDE) database collects mandatory manufacturer reports and voluntary provider reports on device-related complications. Methods: We retrieved all TriClip™-related adverse events from the MAUDE database post-FDA approval, excluding duplicate entries and literature reviews. After removing 47 literature reviews and 36 duplicate reports, 443 unique adverse event reports from 407 procedures (some with multiple events) were analyzed between April 2, 2024, and January 31, 2025. Results: SLDA (Single Leaflet Device Attachment) was the most frequent complication, occurring in 204 cases (Figure 1). Detached leaflets included septal (105 cases), anterior (46), posterior (27), lateral (3), multiple (2), and unreported. Contributing factors included poor imaging, tethered leaflet, clip-clip interaction, dense chordae, large right atrium (RA) or gap size, pacer lead, or prior valve intervention. Persistent TR was a common consequence. SLDA was addressed with additional clips in 77 cases (18 requiring multiple clips), no intervention in 55 cases (13 with significant residual TR), repeat TriClip procedures in 16 cases, and surgical repair in 4 cases. Other complications included partial SLDA (23 cases), clip deployment or gripper malfunctions (68), chordal entanglement (41), leaflet entanglement (3), and clip migration/embolization (6). Migrated clips were found in the RA, right atrial appendage, cardiac vein, or pulmonary artery; three required snare retrieval, and three were left in place. Triclip Steerable Guide Catheter (TSGC) malfunctions, such as leaks, loss of column support, and blockages, were reported in 29 cases, with 27 requiring replacement. Miscellaneous events included residual TR, leaflet grasping issues, F-knob malfunction, lock line jams, and TSGC entanglement. Clip opening during Establishing Final Arm Angle (EFAA) occurred in 25 cases, and leaflet puncture in 15 cases, with one requiring surgical intervention. Conclusion: SLDA was the most frequently reported complication following TriClip™ approval, with some cases leading to severe outcomes. Continued surveillance is crucial to assess long-term safety and optimize procedural strategies.

Background: Lipoprotein(a) [Lp(a)] and metabolic syndrome (MetS) are well-established risk factors for cardiovascular disease. Recent evidence suggests that high Lp(a) levels may increase the risk of coronary heart disease (CHD) in patients with diabetes, raising the question of whether similar interactions exist between Lp(a) and metabolic syndrome. We aimed to evaluate the joint association of Lp(a) and MetS with incident CHD risk in a large, multi-ethnic, prospective cohort. Methods: We analyzed 6,664 participants from the MESA (Multiethnic Study of Atherosclerosis) cohort (median follow-up 14.0 years) without baseline CHD. MetS was defined as ≥3 of the following criteria: waist circumference ≥102 cm (men), or ≥88 cm (women), triglycerides ≥150 mg/dL or use of a fibrate medication, HDL-C <40 (men) or <50 (women) or use of a fibrate medication, SBP ≥130 mm Hg and/or DBP ≥85 mm Hg or use of antihypertensive medication, fasting glucose ≥100 mg/dL or use of antidiabetic medication (4). Elevated Lp(a) was defined as a level ≥50 mg/dL. CHD was defined as myocardial infarction, resuscitated cardiac arrest, or CHD death. Participants were divided into four groups: group 1: Normal Lp(a) without MetS, group 2: elevated Lp(a) without MetS, group 3: normal Lp(a) with MetS, group 4: elevated Lp(a) with MetS. Survival analysis using Kaplan-Meier and multivariable Cox proportional hazard models were performed to assess the relationship between Lp(a), MetS, and time to CHD. Results: In an adjusted model, log [Lp(a)] and MetS were both independently associated with CHD (HR: 1.14; 95% CI: 1.03, 1.25) and (HR: 1.75; 95% CI: 1.35, 2.27). Compared to the reference group (normal Lp(a) without MetS), those with elevated Lp(a) without MetS (group 2) did not have increased risk of CHD (HR: 1.30; 95% CI: 0.94, 1.80). However, those with normal Lp(a) with MetS (group 3) had greater risk of CHD (HR: 1.56; 95% CI: 1.18, 2.05). The highest risk for CHD were in those with elevated Lp(a) with MetS (group 4) (HR: 2.37; 95% CI: 1.66, 3.37). Conclusions: In this analysis. elevated Lp(a) and MetS independently increase CHD risk. MetS alone significantly increases risk, whereas elevated Lp(a) without MetS does not demonstrate a significant effect. However, their combination confers the highest risk, suggesting a synergistic interaction. These results emphasize the value of assessing Lp(a) in individuals with MetS to improve cardiovascular risk stratification and guide targeted prevention.

Background: People living with chronic heart conditions often experience poor quality of life (QoL) and reduced well-being; however, the intervention preferences to promote well-being among these individuals are not well known. Purpose: The purpose of this study was to describe QoL and preferences for wellbeing interventions in people with chronic heart conditions and to describe differences by heart condition diagnosis. Method: We conducted a cross-sectional study and recruited participants from a national online support group for people with heart conditions from April 29 to June 3, 2025. We measured QoL (WHO-QOL 28-item) and priorities for interventions via an investigator-developed questionnaire. Descriptive and bivariate analyses were conducted by heart condition. Results: In our preliminary findings among 107 participants [mean age=65.7 years (SD=12.5)], female (53%), White (82%), 67% ≥ 2 heart conditions] most reported being diagnosed with arrhythmias (36%), congenital heart disease (35%), and heart failure (34%), and the fewest reported cardiomyopathy (22%). Participants reported their physical health QoL as the lowest (M = 56.8±12.6), followed by psychological health (M = 62.5±13.1), and social relationships (M = 65.7±19.0). Most participants preferred non-pharmacological wellness interventions (79%) over pharmacological (23%). The highest interest in interventions was for nutrition/weight (80%), exercise (78%), relaxation (78%), mind-body (yoga or tai-chi) (72%), and meditation/mindfulness (69%). Most preferred delivery in-person (64%) or self-guided app/Website (60%). WHO-QOL ratings of Very Satisfied/Satisfied for Health Satisfaction were compared by heart condition (with and without) and were lower for two conditions: cardiomyopathy, (35% vs 63% p=0.015) and arrhythmias (44% vs 65%, p = 0.033). Participants with arrhythmias prioritized social support interventions (74% vs 48%, p = 0.010), while those with cardiomyopathy preferred interventions for depression (70% vs 43%, p = 0.025) (Table 1). Conclusion: We found that people were highly interested in behavioral interventions to promote their well-being. However, preferences for wellness interventions differed by diagnosis. Findings can guide interventions tailored based on condition.

Introduction: Cardiopulmonary bypass time (CPBT) and aortic cross-clamp time (AXCT) are independently associated with postoperative morbidity and mortality. However, no universally accepted “optimal” duration exists, as these times are influenced by the complexity of cardiac surgery. ECMO is being increasingly used for cardiogenic shock in patients undergoing cardiotomy, but the impact of CPBT and AXCT on outcomes in this specific population remains unexplored. This study investigates how CPBT and AXCT influence outcomes in cardiotomy patients on ECMO support. Research Question: Do CPBT and AXCT influence mortality and complication rates in cardiotomy patients receiving ECMO support? Methods: We conducted a retrospective chart review (Jan 2020–Dec 2024) across a multidisciplinary North American practice, identifying 623 patients who required ECMO. Of these, 236 (37.8%) received ECMO in the preoperative, intraoperative, or postoperative period of cardiotomy. Patients were grouped by prolonged CPBT (>150 min) vs standard (≤150 min) and prolonged AXCT (>90 min) vs standard (≤90 min). We analyzed outcomes including 30-day mortality, ECMO characteristics, and postoperative complications. Results: Among the 236 patients, the average age was 60.8 years, BMI 37.43 kg/m 2 ; 63% were male, 85% White. Prolonged CPBT and AXCT were associated with higher BMI (p=0.02, 0.03), prior cardiac surgery (p<0.001, 0.006), and combined CABG+AVR procedures (p=0.01, 0.001). Patients with prolonged durations were more likely to require postoperative ECMO (p=0.001, 0.03). Complications such as mediastinal bleeding, AKI requiring CRRT, mediastinitis, bacteremia, and pneumonia, showed significant association with increased CPBT whereas prolonged AXCT was only linked with mediastinal bleeding. CPBT and AXCT durations did not significantly affect 30-day mortality, ICU/hospital stay, ECMO duration, or ventilation duration. Independent predictors of 30-day mortality included pre-/intraoperative IABP use (OR 2.19, 95% CI 1.11–4.30, p=0.023), Impella use (OR 0.20, 95% CI 0.03–0.75, p=0.040), post-op intracranial bleeding (OR 5.46, 95% CI 1.43–23.9, p=0.016), and CRRT-requiring AKI (OR 3.24, 95% CI 1.63–6.57, p<0.001). Conclusion: Prolonged CPBT and AXCT were significantly linked to higher rates of postoperative complications such as mediastinal bleeding, CRRT requiring AKI, mediastinitis, and pneumonia along with increased need for postoperative ECMO support, without significantly affecting mortality.

Background: In patients with paradoxical low-gradient severe aortic stenosis (AS) based on aortic valve area (AVA) at rest (<1cm2) and normal left ventricular ejection fraction (LVEF >50%), the role of dobutamine stress echocardiography (DSE) is unclear. While current guidelines recommend assessing aortic valve calcium score in this context, DSE may still offer clinical value. Methods: We conducted a retrospective study on patients with paradoxical low gradient AS (LVEF >50% AVA <1cm 2 , MG < 40 mmHg) at rest who underwent DSE after Institutional Review Board approval. Data was extracted using an internal database. Patients > 18 yrs old with LVEF >50%, mean gradient (MG) < 40 mmHg, and valve area < 1 cm 2 at rest were included. Kruskal-Wallis test was used to identify which resting variables were associated with severe AS (MG >40 mm Hg and Valve area <1 cm 2 ) with DSE. Results: A total of 42 patients were included in the study and variables were reported as means (±SD). The mean age of patients was 78 years (±10) and 60% were female. The mean resting LVEF was 60% (±5%), MG at rest was 28 mmHg (±7) while it was 40 mmHg (±14) with DSE, and mean aortic valve area at rest was 0.9 cm 2 (±0.09) while it was 1.1 cm 2 (±0.23) with DSE. Of the 42 patients, 11 (26%) were found to have severe AS during DSE, defined by a MG >40 mmHg and AVA <1.0 cm 2 . Baseline AVA and MG at rest were significantly associated with severe AS on DSE (p=0.008 and p=0.024, respectively), while age, stroke volume index, and baseline LVEF were not. Univariate regression analysis showed that the area under the curve (AUC) for predicting severe AS was 0.73 for resting MG and 0.77 for resting AVA. A resting AVA cutoff of 0.78 cm 2 provided optimal sensitivity (0.63) and specificity (0.90). For resting MG, a cutoff of 29 mmHg gave a sensitivity of 0.91 and specificity of 0.68 for identifying patients with severe AS. Conclusion: Our study indicated that DSE remains useful in identifying severe AS in substantial number of patients (26%) who exhibit paradoxical low gradient severe AS. Additionally, AVA at rest and baseline mean gradient were statistically the reliable parameters to determine those who may benefit significantly from undergoing DSE. This is one of the first studies to our knowledge in the literature suggesting that DSE may still be useful in identifying severe AS patients despite “paradoxical low gradient severe AS” at rest. Further research is warranted to validate our findings.

Backround: Advances in surgical and medical care of children born with congenital heart disease (CHD) has improved survival into adulthood. However, cardiac and non-cardiac morbidity and mortality remain common in adults with CHD (ACHD). We present the causes and predictors of mortality in a large cohort of ACHD patients from the USA. Methods/Approach: We conducted a retrospective review of ACHD patients followed at Mayo Clinic between 1992 - 2024. Mortality was ascertained using the Accruint national data base. Clinical characteristics and primary cause of death were identified from the electronic record. Kaplan-Meier (KM) survival analysis was performed to compare overall survival stratified by CHD severity. Cox proportional hazards regression was used to identify independent predictors of mortality. Results/Data: Amongst 9160 ACHD patients (mean age 38±16y at first visit, 51% males, 23% simple, 59% moderate and 18% severe CHD), mortality occurred in 1430(16%) patients during a mean follow-up of 11±7y. The mean age at death was 68±17 y, 58±17y, and 45±15y in mild, moderate and severe ACHD. KM analysis of survival and cause of death stratified by CHD severity are presented in Figures 2 and 3 respectively. Cause of death could not be ascertained in 33%%. Amongst those with a known cause of death, the proportion of non-cardiac death increased with decreasing severity of CHD. HF death and sudden cardiac death occurred in 11% and 19%. Infection, malignancy and chronic respiratory failure were important non-cardiac causes of death. Significant risk factors for mortality included CHD severity, ventricular arrhythmia, heart failure, declining functional capacity, diabetes and chronic kidney disease as presented in the Fig 1. Conclusion(s): Mortality in ACHD patients is associated with CHD severity, heart failure, ventricular arrhythmia and cardiovascular comorbidities. Early recognition and management of these risk factors may improve long-term survival. As patients with ACHD age, management of cardiovascular and noncardiac risk factors will require development of systems of care specific to this vulnerable population.

Background: Heart failure with preserved ejection fraction (HFpEF) accounts for approximately half of all heart failure hospitalizations; yet, tools for individualized 1-year mortality risk stratification remain limited. We conducted a retrospective study to develop and validate a machine learning model using genetic programming and automated model search to predict 1-year all-cause mortality in HFpEF patients admitted for decompensated HF. Methods: Electronic medical records from Mayo Clinic (2010-2020) were queried to identify 7,840 adult patients hospitalized with HF exacerbation and a left ventricular ejection fraction>50% on echocardiograms performed between six months pre-admission and seven days post-discharge. Demographic, clinical, laboratory, medication, comorbidity, and imaging data available at the time of index hospitalization were extracted. The cohort was split into 80% training (n=6,272) and 20% held-out test (n=1,568) sets. After standard preprocessing, we performed an evolutionary AutoML search. The final pipeline applied a RobustScaler, two sequential feature-union blocks, and an XGBoost classifier. Model performance on the test set was assessed by area under the receiver operating characteristic curve (AUC), Brier score, accuracy, precision, recall, and F1 score, each with bootstrap-derived 95% confidence intervals (CIs). For interpretability, SHAP (SHapley Additive exPlanations) values were computed using the full scaled training set as background. Results: On the held-out test set, the XGBoost-based model achieved an AUC of 0.7595 (95% CI: 0.7307-0.7870) and a Brier score of 0.1764 (95% CI: 0.1652-0.1890). Accuracy was 0.7406 (95% CI: 0.7143-0.7645), precision 0.6349 (95% CI: 0.5759-0.6942), recall 0.4135 (95% CI: 0.3636-0.4609), and F1 score 0.5008 (95% CI: 0.4529-0.5444). The global SHAP summary plot (Figure 1) ranked age, serum albumin, blood urea nitrogen (BUN), presence of renal failure, and NT-proBNP as the top 5 predictors. Conclusions: In this large HFpEF cohort, an AutoML-derived XGBoost pipeline achieved robust discrimination (AUC≈0.76) and calibration (Brier≈0.18) for 1-year mortality prediction. SHAP-based explanations highlighted the importance of age, nutritional status (albumin), renal biomarkers (BUN, renal failure), and natriuretic peptides (NT-proBNP) as principal drivers of risk. These interpretable machine learning findings may guide personalized risk stratification and identify therapeutic targets in HFpEF.