Citations

Introduction: Although the prevalence of atrial fibrillation (AF) is higher in men than in women, the onset of AF appears to diminish the survival advantage in women. The pathophysiologic factors underlying survival outcome in AF are not well understood. Methods: A cohort of 3480 Olmsted County, Minnesota residents (mean age 72.8±14 years, 51.8% female) with incident AF who underwent transthoracic echocardiography within 30 days of AF diagnosis [median (IQR) 1, 1-6 days] were retrospectively studied. We examined the association of clinical parameters and survival according to gender. Kaplan-Meier and Cox proportional hazards models were used to compare overall survival in males and females. Results: Females were older and slimmer than males and more frequently had hypertension, prior stroke, and had higher CHA 2 DS 2 vasc score, pulse pressure and effective arterial elastance. Women also had smaller LV end diastolic dimension with higher LV ejection fraction, LA volume index, E/e prime ratio, and PASP (43.6±13.8 vs 39.1±13.3; <.001). During a mean follow-up of 7.4±6.2 years (median 6.6 years), 2569 patients died. Women had a lower 5-year survival compared to men. The probability of 1- and 5-year survival rates for women vs men were 80.2% vs 84.1% at 1 year and 54.4% vs 63.7% at 5 years (log-rank P <.001). In multivariable Cox regression analysis, after accounting for potential confounders, the independent predictors of mortality were age (HR 1.07 [95% CI 1.06-1.08]), PASP (per 5 unit increment) (HR 1.11 [95% CI 1.09-1.12]), effective arterial elastance (HR 1.06 [95% CI 1.01-1.12]), previous heart failure (HR 1.34 [95% CI 1.20-1.49]), diabetes (HR 1.33 [95% CI 1.20-1.48]), prior stroke (HR 1.26 [95% CI 1.13-1.41]), smoking (HR 1.13 [95% CI 1.06-1.20]), chronic lung disease (HR 1.32 [95% CI 1.20-1.45]), peripheral arterial disease (HR, 1.32 [95% CI 1.18-1.48]), and chronic kidney disease (HR, 1.52 [95% CI 1.38-1.69]). Conclusions: In a community-based cohort of patients with incident AF, markers of arterial stiffness and diastolic dysfunction were more prevalent in women compared to men and were strongly predictive of mortality. Our findings suggest that vascular stiffness may underlie the increased risk of mortality observed in women after a new diagnosis of AF.

Background: Chronic left ventricular (LV) pressure overload is common in adults with repaired coarctation of aorta (COA). However, there is no validated systematic approach for assessing cardiac remodeling and damage in this population. The purpose of this study was to evaluate the role of cardiac damage staging scheme (validated for calcific aortic stenosis) for prognostication in adults with repaired COA. Methods: Patients were classified using a modified cardiac damage scheme: stage 0 (no cardiac damage), stage 1 (LV damage), stage 2 (left atrial damage), stage 3 (pulmonary vascular/tricuspid valve damage), and stage 4 (right ventricular damage). Results: Of 795 patients (age 36±16 years), 270 (34%) had stage 0, 198 (25%) had stage 1, 225 (28%) had stage 2, 37 (5%) had stage 3, and 65 (8%) had stage 4 cardiac damage. The 795 patients were followed for 7.3 (2.8-9.6) years, and 94 (12%) died, of which 75 (9%) were cardiovascular deaths. Cardiac damage stage was independently associated with all-cause mortality (adjusted HR 1.31, 95% CI 1.22-1.40, per unit increase in stage), and cardiovascular mortality (adjusted HR 1.42, 95% CI 1.28-1.55, per unit increase in stage). The addition of the cardiac damage stage to the base model (clinical and echocardiographic variables) provided significant incremental improvement in the prediction of 5-year risk of all-cause mortality over the base model (net reclassification index 0.39, p<0.001). Hypertension was associated with cardiac damage and mortality. Conclusions: The cardiac damage scheme can be used for risk stratification, and potentially guide therapy in the COA population.

Background: Coronary embolism (CE) is an uncommon (3%) cause of acute coronary syndromes (ACS) and is often missed. Case Presentation: A 68-year-old woman with a h/o hypertension & breast cancer post lumpectomy 10 yrs ago, presented with generalized weakness, fever (101F), & vomiting without chest pain, dyspnea, or palpitations. She was afebrile, tachycardic (158 beats/min), tachypneic (26 breaths/min) with BP of 98/64 mmHg. Cardiac exam revealed irregularly irregular rhythm, 5 cm jugular venous distension & 3+ bilateral pretibial edema. Labs revealed thrombocytopenia, lactic acidosis, & hyponatremia. High sensitivity-Troponin was 1023 & NT-pro-BNP 19854. EKG showed atrial fibrillation (AF), diffuse ST elevations in the precordial leads & aVR, poor R wave progression & inferior Q waves. Her cardiac cath revealed a large thrombus from mid-left main extending into the LAD with minimal atherosclerotic burden. Intraoperative transesophageal echocardiogram for emergent surgical resection of the thrombus revealed a highly mobile thrombus 2.32x0.6 cm on the aortic aspect originating between L and R coronary cusps and a left atrial appendage thrombus (1.1 cm) with marked spontaneous contrast in LA appendage & LA which was surgically resected. Blood cultures & of coronary thrombus grew Methicillin sensitive Staphylococcus Aureus (MSSA) . Anticoagulation & appropriate antibiotics were initiated. but after a protracted, complicated ICU stay, patient was made comfort care. Discussion/Conclusion: CE should be considered in cases of recurrent coronary thrombus or in the setting of heavy thrombus burden despite a relatively normal coronary vessel. AF is the most common underlying cause of CE causing ACS. Aspiration or surgical thrombectomy should be performed with a high thrombus burden. Thrombus should be sent for pathology to further delineate the source of thrombus.

Introduction: We have previously shown that ECG-derived age (ECG-Age) predicts all-cause and cardiovascular (CV) mortality, reflecting physiologic age. We hypothesized that ECG-Age minus chronological age (Age-Gap) would be associated with coronary artery calcium (CAC) assessed by computer tomography. Methods: We developed a neural network model to predict ECG-Age using 12 lead ECGs from 399,750 training, 99,977 validation and 275,056 testing patients. We then applied the algorithm to 41,202 consecutive patients that from 1997-2020 underwent clinically indicated CAC and ECG within 1 year. Major modifiable CV risk factors were collected as part of preventive cardiology or general medical evaluations. Exclusion criteria were statin therapy, pacemakers, or history of coronary artery disease. Results: We included 41,202 subjects (68.5% males, 83.6% Caucasian), mean chronological age was 55.2±9.1 yrs and the ECG-Age was 56.01±9.3 yrs. The mean Age-Gap was -0.78±7 yrs, R 2 =0.78, p<0.0001. Mean CAC score was 140.2±532.3, and 21,483 (52%) had CAC >0. After adjustment for age and sex, those older by ECG (defined as having a positive Age-Gap) were more likely to have CAC>0 (OR 1.35, 95% CI 1.34-2.37 for those with >1 but <2 SD of a positive Age-Gap; and OR 1.80, 95% CI 1.34-2.37 for those with ≥2 SD of a positive Age-Gap), while those younger by ECG were less likely to have any CAC (OR 0.70, 95% CI 0.57-0.87 for those with >1 but <2 SD of a negative Age-Gap; and OR 0.75, 95% CI 0.67-0.84 for those with ≥2 SD of a negative Age-Gap), respectively. This association remained significant after multivariate adjustment, Fig. A and increased with CAC burden, Fig. B , all P for trend <0.01. Conclusions: The difference between physiologic AI-ECG age and chronologic age, something likely representing rate of biological aging, is associated with presence of CAC, further supporting the hypothesis that AI-ECG age can identify people more likely to have subclinical coronary atherosclerosis.

Background and Objective: The published cardiology literature is critical for scientific communication, and we sought to determine if the published clinical cardiology evidence base has evolved over time. Methods: We evaluated the cardiology related publications in the medical journals (M) JAMA (J) and the New England Journal of Medicine (N) and all publications by the specialty journals (CA) Circulation (Ci) and the European Heart Journal (E) in 2000, 2010, and 2020 and added 2001, 2011, and 2021 for JAMA to account for potential annual variability. Results: Publication information is shown in the graph. For the M journals there has been an increase in the percentage of randomized controlled trials (RCT). For the CA journals there has been a significant decrease in single center studies (Si) and a proportionate increase in reanalysis (Re) of data whether from subanalysis of an RCT, registry, or meta-analysis. For CA journals there has been an increase in the size of clinical studies mainly due to the use of larger datasets from registries or claims (Ci: 2000: 4,500/study; 2010: 9,298/study; 2020: 258,725/study and E: 2000: 2,282/study; 2010: 12,652/study; 2020: 249,388/study). CA journals have an increased of studies with patients from multiple continents (Ci: 2000: 5.5%; 2010: 13%; 2020: 35% and E: 2000: 7%; 2010: 14.8%; 2020: 18.8%). There has been an increase in the percentage of clinical studies with documentation of different populations by region or color (In 2020, 58% for all Ci articles and 52% for US and multicontinental EHJ articles), although the number of nonwhites remains small in most studies unless the study was specifically addressing disparities in care. Conclusions: Over the last two decades, the published evidence base has changed with more RCT in the Med journals and more studies that reanalyze large datasets in CA journals. Published studies are now larger, more likely to involve multiple continents, and document population details.

Introduction: Bicuspid Aortic Valve (BAV), the most common adult congenital heart defect, is a major cause of aortic insufficiency or stenosis requiring valve replacement and thoracic aortic aneurysms predisposing to acute aortic dissections. The spectrum of BAV ranges from early onset valve and aortic complications to sporadic late onset disease. We determined the frequency and gene content of rare genomic copy number variants (CNVs) in isolated BAV cases. Methods: We performed genome-wide SNP microarray analysis of familial BAV cases with early onset complications in the UTHealth BAV Research Registry (EBAV, n=394) and elderly probands from the International BAV Consortium (BAVCON, n=4216). CNVs were detected in Illumina genotypes using the PennCNV, QuantiSNP and cnvPartition algorithms. BAV cases were compared to 16,576 controls without known cardiovascular disease from the Database of Genotypes and Phenotypes. Only CNV calls with >6 consecutive variants, >20 kb in length, identified by at least two algorithms and intersected with known genes were included. For comparison, we assessed a cohort with left ventricular outflow tract obstructive lesions including BAV (LVOTO, n=1561) using identical methods. CNV burden and associations were tested using PLINK. Results: We identified 84 large recurrent CNVs in BAV cases that are absent or rare (<0.1%) in controls. 34 rare CNVs overlap between BAV and LVOTO cases and involve candidate genes that interact with each other during heart development. The largest and most prevalent of the recurrent CNVs are 8p23 duplications involving GATA4 (OR 340, CI: 42-2700). CNVs of genes that cause BAV when mutated were significantly enriched in cases (n=135, P =1x10 -27 ). The overall burden of rare genic CNVs, specifically large deletions, was also increased in BAV cases (empiric P < 1x10 -5 ) and was higher in younger EBAV cases than in older BAVCON cases. Conclusion: We identified likely pathogenic CNVs in more than 10% of BAV cases, implicating alterations of candidate genes at these loci in the pathogenesis of BAV.

Background: The body Mass Index (BMI) is commonly used in clinical practice to screen for obesity and resulting cardiometabolic conditions. Nonetheless, BMI has limited utility as it cannot differentiate body fat (BF). Hypothesis: We tested the hypothesis that BF content measured by air displacement plethysmography (Bod-Pod®) had a stronger association with prevalent hypertension (HTN), diabetes mellitus (DM) and dyslipidemia (DLP) when compared to BMI. Methods: We performed a community-based cross-sectional study on adults attending an employee wellness center from January 2007-December 2011 who had had a body composition assessment with Bod-Pod®. We excluded subjects with history of myocardial infarction, coronary artery disease, congestive heart failure, stroke at baseline. The prevalence of HTN, DM and DLP was assessed across quartiles of BF% and BMI categories. Their association with BF% and BMI was evaluated using linear regression models that adjusted for age, sex, and white race. Results: We included 3,052 individuals; 68 % were women, and the mean age ± SD was 42.09±12.8, BMI was 27.9±6.2; BF% 31.88±10.69, 892 (29.2%) were obese by BMI. Cardiometabolic conditions were prevalent in 496 (16.2%) with HTN, 378 (12.4%) with DM and 743 (24.4%) with DLP. While the prevalence of DM, HTN and DLP increased across BF% quartiles (all p for linearity>0.01), this was not always the case across BMI categories (p for linearity<0.05 for HTN and DLP, and 0.04 for DM) see Figure A . Elevated BF %, better identified individuals with HTN (AUC 0.766 vs 0.625; p<0.001), DM (AUC 0.643 vs. 0.568; p<0.001), DLP (AUC 0.758 vs. 0.593; p<0.001). Conclusion: BF content is better associated with a higher prevalence of HTN, DM, and DLP. Highlighting the role of body composition assessment in primary prevention. Dyslipidemia.

Introduction: Obesity is associated with a higher burden of atrial fibrillation (AF) and related complications. Hypothesis: Bariatric surgery in patients with AF is associated with a reduction in mortality and long-term complications at 1 year. Methods: Patients with AF who underwent bariatric surgery were identified by analyzing the nationwide readmission database and incorporating the validated ICD-10 CM codes from October 2015 to December 2019. We performed the propensity score matching to adjust the confounders and cox proportional hazard regression to generate hazard ratios. Moreover, we generated Kaplan Meier curves for time-to-event analysis. The primary endpoint was all-cause mortality at 1 year, whereas secondary endpoints were ischemic stroke, major bleeding, and AF readmission at 1 year. Results: Out of 892488 obese patients with AF, 18766 underwent bariatric surgery. After propensity score matching, 18764 patients were identified in each group. At 1-year, patients undergoing bariatric surgery had a significant reduction in mortality (2.18% vs. 2.73%, HR: 0.91, 95% CI: 0.85-0.96, p=0.001). Additionally, risk of ischemic stroke was also reduced (1.98% vs. 2.29%, HR: 0.91, 95% CI: 0.86-0.97, p=0.01), whereas no difference was noted in AF readmissions (4.02% vs. 3.34%, HR: 0.97, 95% CI: 0.92-1.04, p=0.49) and risk of major bleeding was increased (5.74% vs. 3.42%, HR: 1.17, 95% CI: 1.10-1.25, p<0.0001) at 1 year in AF patients with bariatric surgery. (Figure 1) Conclusions: Bariatric surgery in patients with AF was associated with a reduction in 1-year mortality and ischemic stroke. However, the risk of major bleeding was noted to be increased and no difference was noted in AF readmission at 1 year.

Background: Data on the occurrence of syncope and presyncope with hemodynamic instability during graded exercise test (GXT) are limited. Methods: We reviewed the Mayo Integrated Stress Center database for non-imaging GXTs performed between January 2006 and December 2010 and registered syncopic/presyncopic episodes. Electronic medical records were reviewed for clinical information, outcomes, and mortality. SAS was used to provide background statistics. Results: During the study period, a total of 40,715 GXTs were performed on 33,885 unique patients, including 16,306 (40.0%) GXTs on patients with known cardiovascular disease (CVD). High risk for cardiac syncope is defined as prior cardiac arrest/ventricular tachycardia, ischemic cardiomyopathy, implanted defibrillator, history of atrial fibrillation, sotalol, amiodarone, LQTS, HOCM, aortic stenosis was identified in 3263 patients (6.0%), while risk factors for non-cardiac syncope (POTS, history of dizziness/spells/syncope, rest SBP < 100 mmHg, age ≥ 80 years, female age < 30 years, beta blocker use) were found in 15,925 patients (39.1%). Despite the presence of so many patients at risk, only 8 episodes of syncope occurred (0.020% per test; 0.023% per individual patient). Another 5 episodes of near-syncope with documented hypotension were aborted by the quick action of the testing staff (0.012% per test; 0.015% per individual patient). Only 1 patient (a 71yo M with severeCAD) required electrical cardioversion for ventricular fibrillation. None of the other patients, including all 6 women, presented with tachyarrhythmias. There were no deaths and no significant musculoskeletal trauma. Conclusion: Despite many patients with risk factors for cardiac and non-cardiac syncope in the cohort, syncope, and near-syncope with hemodynamic instability were very rare findings on guideline-directed GXTs.

Evaluating the Electrocardiographic Characteristics of Transgender Patients Undergoing Gender-affirming Hormone Therapy with Artificial Intelligence Introduction: An artificial intelligence (AI) electrocardiogram (ECG) algorithm has been demonstrated to identify a patient’s birth designated sex with 90.4% accuracy with an AUC = 0.97. However, the algorithm has not been evaluated in transgender and gender diverse individuals. We aimed to determine how the algorithm output varies among transgender individuals seen at the Mayo Clinic Transgender and Intersex Specialty Care Clinic (TISCC) who are undergoing gender-affirming hormonal treatment (GAHT). Methods: We applied the algorithm (which assessed the probability of “male” between 0 and 1, with < 0.5 considered as “female” and > 0.5 as “male”) to ECGs obtained from patients in the TISCC before and after the initiation of GAHT. GAHT frequently involves the use of testosterone in transgender men, and estrogen and anti-androgen agents in transgender women. Patient characteristics, including the date of the initiation of GAHT, were collected through chart review. Results: Among transgender women, the AI model probability of “male” decreased from 0.84± 0.25 (12/86 classified as males) to 0.59±0.36 (68/173 classified as male) with GAHT (p < 7.8e-10). Among transgender men, the AI model probability of “male” increased from 0.16 ± 0.28 (7/47 classified as male) to 0.41 ±0.38 (22/53 classified as male) with GAHT (p < 2.4e-4). Conclusion: After GAHT initiation, the Mayo Clinic AI ECG algorithm assigns a higher probability of being male among transgender men and a lower probability of being male among transgender women. These findings warrant further investigation into the electrocardiographic differences across genders and the effects of GAHT on the human heart.