Scott, Christopher G.

ABSTRACT Aims Common genetic variants have been linked to an increased risk of non-ischaemic cardiomyopathy (NICM). The primary objective of this study was to evaluate the significance of these variants in a general population. Methods and results Thirteen NICM risk alleles, previously validated by meta-analyses of case-control genetic association studies, were used to determine genetic risk (GR) in a large, unselected cohort (n = 1897) of Olmsted County residents aged >45 years. Clinical and echocardiographic data, with biomarkers, were correlated with this NICM-GR over a median of 16 years of follow-up (interquartile range [IQR] 15–17). There were no significant differences between the study population quartiles, based on NICM-GR, in terms of age (median 61.6 [IQR 53.6–70.4]), sex (48% male), and cardiovascular risk factors. A significant correlation was detected by specific linear-regression models between NICM-GR and left ventricular (LV) ejection-fraction (beta [standard error]: −2.68 [0.68], p < 0.001), LV end-systolic-diameter (0.22 [0.06], p < 0.001), and LV end-diastolic-diameter (0.14 [0.06], p = 0.01). During follow-up, 46 subjects developed NICM. Using a 3:1 matched-cohort of non-NICM versus NICM patients, linear-regression analysis found a significant correlation between NICM-GR and NICM development (odds ratio 2.27, 95% confidence interval 1.06–4.85, p = 0.03). There was no significant association between these variants and heart failure biomarkers (aldosterone, natriuretic peptides, ST2, galectin-3). Conclusions The NICM-GR correlates with LV function and dimension, and subsequent development of NICM in the general population. The lack of correlation of these variants with cardiovascular risk factors and the renin–angiotensin–aldosterone axis or natriuretic peptides suggest different biological mechanisms involved. These findings support the need to explore newer pathophysiologic pathways in the development of NICM.

Abstract Background and Aims Accurate differentiation of cardiac amyloidosis (CA) from phenotypic mimics remains challenging using current clinical and echocardiographic techniques. The accuracy of a novel artificial intelligence (AI) screening algorithm for echocardiography-based CA detection was assessed. Methods Utilizing a multisite, multiethnic dataset (n = 2612, 52% CA), a convolutional neural network was trained to differentiate CA from phenotypic controls using transthoracic apical four-chamber video clips. External validation was conducted globally across 18 sites including 597 CA cases and 2122 controls. Classification accuracy was assessed on the entire external validation dataset, and subgroup analyses were performed both on technetium pyrophosphate scintigraphy referrals, and individuals matched for age, sex, and wall thickness. Model accuracy was also compared with the transthyretin CA score and the increased wall thickness score within a subset of older heart failure with preserved ejection fraction patients with increased wall thickness. Results Cardiac amyloidosis patients and controls displayed similar age, sex, race, and comorbidities. After the removal of uncertain AI predictions (13%), model discrimination and classification were excellent for the entire external validation dataset [area under the receiver operating characteristic curve (AUROC) 0.93, sensitivity 85%, specificity 93%], irrespective of CA subtype (sensitivity: light-chain = 84%, wild-type transthyretin = 85%, and hereditary transthyretin = 86%). Performance was maintained in subgroup analysis in patients clinically referred for technetium pyrophosphate scintigraphy imaging (AUROC 0.86, sensitivity 77%, specificity 86%) and matched patients (AUROC 0.92, sensitivity 84%, specificity 91%). The AI model (AUROC 0.93) also outperformed transthyretin CA score (AUROC 0.73) and increased wall thickness (AUROC 0.80) scores. Conclusions This AI screening model—using only an apical four-chamber view—effectively differentiated CA from other causes of increased left ventricular wall thickness.

Abstract Aims Tricuspid valve regurgitation (TR) is common and associated with increased mortality. The interaction between the pulmonary artery (PA) circulation and the right ventricle (RV) and association with outcomes is incompletely understood. The effective PA elastance (PA Ea) is a composite measure of RV afterload that refers to the pulmonary vascular load that the RV must overcome to eject blood. Whether PA Ea discriminates mortality risk in unselected patients with significant TR is unknown. Methods and results In consecutive patients with ≥moderate TR, we compared all-cause mortality at 5 years based on the PA Ea (defined as the RV systolic pressure/stroke volume as measured by transthoracic echocardiography). In a total of 12 682 patients, the median PA Ea was 0.7 mm Hg/mL (interquartile range 0.5, 0.9). Increasing levels of PA Ea were associated with heart failure, liver and kidney disease, and clinical markers of risk such as the Tricuspid Regurgitation Impact on Outcomes score. Increasing levels of PA Ea were associated with larger RVs, worse RV systolic function, higher N-terminal pro-brain natriuretic peptide levels, and greater degrees of right heart failure. After adjusting for age and sex, PA Ea was associated with higher risk of death (hazard ratio 1.55 per 0.5 mm Hg/mL change of PA Ea; 95% confidence intervals 1.51–1.60; P < 0.0001). In multivariable modelling incorporating available clinical variables, PA Ea was independently predictive of outcome compared with other indexes of RV–PA coupling. Conclusion In patients with significant TR, higher PA Ea is progressively associated with RV dysfunction, right heart failure, and worse survival. Incorporating PA Ea into the routine echo assessment may help stratify risk.

Background Right ventricular (RV) maladaptation to elevated pulmonary afterload is the primary determinant of outcomes in pulmonary artery (PA) hypertension; however, the pathobiological mechanisms underlying RV decompensation remain poorly understood. Methods We performed global untargeted metabolomics on plasma from 55 patients who underwent gold‐standard RV‐PA coupling measurements using multibeat pressure volume loop assessment in a single‐center cohort and from 1027 patients with coupling surrogate measurements in a larger multicenter cohort, the PVDOMICS (Pulmonary Vascular Disease Phenomics) study. Age and sex‐adjusted linear regression was performed to identify associations between metabolites and coupling metrics. Additionally, we performed a metabolic flux analysis using gene expression data from RV tissue in an independent cohort of 32 patients. Partial least squares–discriminant analysis was used to identify metabolites and reactions characteristic of the decompensated RV. Results RV‐PA coupling was negatively associated with tricarboxylic acid (TCA) cycle intermediate levels. Specifically, plasma α‐ketoglutarate and fumarate were significantly associated with all coupling metrics in both cohorts. Metabolic flux analysis indicated that decompensated RVs exhibited aberrant TCA cycle activity, including reduced acetyl coenzyme A entry and increased lactate elimination, suggesting a shift from the TCA cycle toward glycolysis at the RV tissue level. Conclusions We identify an association between circulating TCA cycle intermediate levels and RV‐PA uncoupling in 2 independent cohorts, and dysregulated TCA cycle metabolism in decompensated PA hypertension RVs, suggesting that aberrant TCA cycle metabolism could represent a hallmark of RV maladaptation in PA hypertension. Further study of this pathway is warranted to develop novel biomarkers of RV function or RV‐targeted therapies.

Radiomic parenchymal phenotypes on mammograms were used to predict breast cancer risk among both Black and White women, notably for false-negative findings and symptomatic interval cancer.

ABSTRACT Background Incident atrial functional mitral regurgitation (AFMR) is associated with mortality. Transcatheter edge‐to‐edge repair (TEER) has shown effectiveness in improving MR and symptoms in AFMR, but previous studies lacked comparison to conservative management. We aimed to study the association of AFMR severity and mitral TEER with symptoms, heart failure hospitalizations (HFH) and all‐cause mortality in moderate/severe AFMR. Methods Consecutive adults with moderate/severe AFMR managed conservatively or with TEER 2010−2023 were identified retrospectively. To ensure similar technique in evaluation in the two groups, variables were obtained from the closest transthoracic echocardiogram before TEER in the TEER group. In addition to multivariable analysis, the association of TEER (vs. conservative management) with HFH and mortality was assessed using propensity‐score matched analyses; the propensity score was based on age, sex, EuroSCORE II, effective regurgitant orifice area, integrative MR severity, and NYHA class III/IV (vs. I/II). Results Among 230 patients with moderate/severe AFMR [mean age 77; 56% females], 46 were managed with TEER. Severe (vs. moderate) AFMR was independently associated with baseline NYHA class III/IV (multivariable OR 2.18 [95% CI 1.13−4.26]) and HFH [multivariable HR 2.75 (95% CI 1.25−6.03)] but not mortality ( p = 0.26). TEER improved MR to ≤ moderate in 93% but was not associated with lower HFH or death rates versus conservative management on multivariable or matched analysis. However, 1‐year NYHA improved more with TEER versus conservative management in patients with baseline NYHA class III/IV (62% vs. 27%, p = 0.03). Rhythm control was associated with improved survival (HR 0.38 [0.15−0.98]). Conclusions AFMR severity was associated with symptoms and HFH but not mortality. MR severity and NYHA class improved with TEER, but the association of TEER with HF hospitalizations or death remains unproven. Randomized studies are needed to evaluate the potential role of TEER and rhythm control on outcomes in AFMR.

Abstract Studies have identified genetic and epidemiologic factors associated with mammographic density (MD) phenotypes. However, MD-associated genetic variants only account for a small proportion of the total estimated heritability. Interrogating interactions between genetic and epidemiologic factors could potentially identify additional MD-associated loci, expand our understanding of the genetic basis of MD phenotypes, and clarify how epidemiologic factors modulate relationships between genetic variants and MD. We conducted six separate genome-wide, gene–environment (GxE) interaction analyses, applying 2 degrees of freedom (df) and 1df interaction tests, for each of three MD phenotypes (percent density, dense area (DA), and nondense area (NDA)). The six epidemiologic factors considered were height, ever parous, parity, ever menopausal hormone therapy, ever breastfeeding, and months of breastfeeding. We included European ancestry participants from multiple studies within the Markers of Density consortium and the Breast Cancer Association Consortium (n = 4895-16 218 depending on specific analyses). We identified 11 loci with genome-wide significant (P < 5 × 10−8) interaction tests including two novel common genetic signals interacting with parity (8p21.2) and ever breastfeeding (19p13.2) for NDA. Our results suggest that epidemiologic risk factors might influence relationships between common genetic variants and MD phenotypes at particular genomic loci.

Abstract Introduction Secondary tricuspid regurgitation (STR) is a highly prevalent valve disease. STR and Heart Failure with preserved Ejection Fraction (HFpEF) share common features including exertional intolerance and high burden of atrial fibrillation (AF) and pulmonary hypertension (PH), making it challenging to disentangle HFpEF from TR. The incidence of clinically-recognized HFpEF in STR and its impact on mortality are not well established. Purposes To define the incidence of newly diagnosed HFpEF and its impact on mortality in a cohort of patients with significant STR and to evaluate the likelihood of a larger hidden burden of HFpEF. Methods Patients with a first diagnosis of ≥moderate-severe STR between 2004-2019 at our institution were retrospectively included. Patients with left ventricle ejection fraction <50%, left-sided valve diseases, and intracardiac device leads were excluded. HFpEF was identified by manual chart review as well as by use of ICD codes. The estimated prevalence of HFpEF was evaluated using an H2FPEF score ≥6, which corresponds to a ≥90% probability of having HFpEF. Results Of 2118 patients (mean age 70 ± 14, 36% females), 1057 (50%) had systemic hypertension (HTN) and 1091 (51%) had AF, with median 2.3 years of follow-up. From this cohort, 536 (25%) patients were diagnosed with HFpEF based upon chart review during the follow up period, while ICD diagnosis was only present in fewer than 50% of these patients (254). High H2FPEF score was present in 880 patients (41.5%), of whom 383 received a chart diagnosis of HFpEF, while 153 patients with H2FPEF score <6 received a chart HFpEF diagnosis. The cumulative incidence of chart-based diagnosis of HFpEF was 20.8% (N=158) at 1-year and 38.6% (N=273) at 5-years in patients with an H2FPEF score ≥6 and 5.5%(N=60) at 1-year and 11.1%(N=111) at 5-years in those with a score <6 (Figure). In Cox regression analyses, the diagnosis of HFpEF during follow-up was associated with increased mortality (HR 2.14, CI 1.86-2.46, p < 0.001) after adjusting for age, sex, body mass index, coronary artery disease, diabetes mellitus, chronic obstructive pulmonary disease, diuretics, HTN, pulmonary hypertension, chronic kidney disease and AF. Conclusions The incidence of clinically documented HFpEF in a cohort of patients with significant STR at index evaluation is high (25%). Use of ICD code underestimates clinical recognition, with the actual burden of HFpEF probably being even greater, as indicated by an H2FPEF score ≥ 6. Among those with significant STR, HFpEF diagnosis is an independent risk factor for mortality.

Abstract Background/Introduction Close monitoring of aortic stenosis (AS) by follow-up echocardiography is recommended by all Cardiology and Imaging Societies’ guidelines. Whether these guidelines are strictly followed is unknown. Purpose We aimed to describe our institution’s practice patterns for echocardiographic monitoring in patients with aortic sclerosis (AScl) and AS of any severity. Methods Adult patients residing in our institution’s county with an echocardiographic diagnosis of AScl or AS between 01/2005-01/2022 were identified and classified into 4 groups: AScl, mild AS, moderate AS, or severe AS, at each echocardiogram during the study timeframe. Kaplan Meier analyses were used to evaluate the composite outcome, the occurrence of follow-up echocardiogram or death. Patients were censored at the time of aortic valve replacement/repair, heart transplant, or last clinical follow-up. Guideline follow-up was considered appropriate when the primary outcome occurred by 5 years (AScl/mild AS), 2 years (moderate AS), and 1 year (severe AS). Results A total of 23,726 echocardiograms from 9,578 unique patients were included. At index echocardiogram, median patient age was 74 years (IQR 65-82) and 4,806 (50.2%) were women. AScl was observed in 7,358 (76.8%) cases, mild AS in 1,442 (15.1%) cases, moderate AS in 479 (5%), and severe AS in 301 (3.1%) cases. Rates of composite outcome achievement by the end of the guideline-recommended interval were 81%, 90%, 80%, and 72% in AScl, mild, moderate, and severe AS, respectively. Rates for men were 83%, 92%, 82%, and 75% in these groups, while rates for women were 78%, 88%, 78%, and 68%, respectively (Figure 1). Follow-up rates were similar before and after 2012 (when transcatheter aortic valve replacement was approved for treatment of severe AS in high-risk surgical patients in the USA). Follow-up rates were higher in patients managed by cardiovascular providers compared to non-cardiovascular providers (Figure 2). Conclusion Depending on disease severity, between one fourth and one tenth of patients remained alive and unfollowed at the end of their guideline-recommended surveillance interval. There is significant variability in echocardiogram monitoring based on sex and referring provider specialty. Figure 1 Figure 2

Abstract Background Bicuspid aortic valve(BAV) disease carries a cumulative lifetime morbidity >80%. This morbidity includes surgery for aortic valve dysfunction, aortic dilatation, infective endocarditis, and aortic dissection. This study assessed surgical intervention patterns for BAV-related morbidity and long-term survival of these patients in a community-based cohort versus a tertiary referral cohort. Methods The tertiary-referral cohort included all patients with BAV-related surgeries across Mayo Clinic sites (Arizona, Florida, and Minnesota), from January 1990 to May 2024. The community-based cohort included all patients with BAV-related surgeries in Olmsted County, Minnesota, from January 1980 to May 2024. The tertiary-referral cohort comprised 2529 BAV patients of which 991(39%) [mean age 53±15 years, 76% males] underwent aortic valve surgery(AVR), aorta surgery, or a combination thereof, while the community-based cohort included 652 BAV patients of whom 262(40%) [mean age 43±20 year, 70% males] had the mentioned interventions. Cumulative survival was calculated by Kaplan-Meier method compared to the U.S population. Statistical significance was evaluated using one-sample log rank statistics. Results In the tertiary-referral cohort, 530/991(54%) patients underwent isolated AVR, 62/991(6%) had isolated aortic surgery, and 399(40%) underwent combined procedures. In the community-based cohort, 179/262(68%) patients underwent isolated AVR, 30/262(11%) underwent isolated aortic surgery, and 53(21%) had combined surgeries. In the tertiary-referral cohort, 940 patients underwent AVR; 57% for aortic stenosis(AS), 29% for aortic regurgitation(AR), 13% for mixed valvular disease, and 1% for endocarditis. In comparison, in the community-based cohort, 236 patients underwent AVR for AS in 71%, AR 20%, mixed valvular disease 7%, and endocarditis 2%. In the tertiary-referral cohort, 459 patients underwent aortic surgery; 21% for the root, 69% for the ascending aorta, 1% for the arch, <1% for aortic dissection, and 8% for coarctation repair. In comparison, 105 patients from the community-based cohort underwent aortic surgery; 33% for the root, 44% for the ascending aorta, 1% for the arch, 4% for aortic dissection and 18% coarctation repair. Compared to age- and sex-matched U.S. population, the relative risk for all cause death in the tertiary-referral cohort was 0.89 [95% CI: 0.70-1.11, p=0.35], whereas in the community-based cohort was 1.06 [95% CI: 0.85-1.32, p=0.57](Figure1). Conclusion Surgical intervention patterns were similar for community and tertiary BAV cohorts, with most patients undergoing isolated AVR or AVR plus aortic surgery, and isolated aortic surgery being uncommon. AVR indications were driven by AS, followed by AR and mixed valvular disease. Aortic surgery indications were driven by ascending aorta dilatation, followed by root dilatation and coarctation. Survival in both cohorts was similar to the U.S. general population.