Scott, Christopher G.

Abstract Background/Introduction Tricuspid valve regurgitation (TR) is a common valvular disease associated with increased mortality. There is a need for tools to assess the interaction between the pulmonary artery (PA) circulation and the right ventricle (RV) in patients with TR and to investigate their association with outcomes. Various echo parameters have emerged that assess RV-PA coupling, including the ratio of TAPSE to RV systolic pressure (RVSP) and the PA pulsatility index (PAPi). The effective PA elastance (PA Ea) is a composite measure of RV afterload that refers to the measure of the pulmonary vascular load that the RV must overcome to eject blood into the PA. PA Ea is simple to estimate by echo and found to be an independent haemodynamic risk measure in various left heart and pulmonary hypertension (PH) diseases. Whether PA Ea discriminates risk in unselected patients with significant TR and how it compares to other measures of RV-PA coupling is untested. Purpose To ascertain the prognostic value of PA Ea in patients with TR. Methods In consecutive patients with a first diagnosis of ≥ moderate TR (regardless of aetiology), we compared all-cause mortality at five years based on the PA Ea (defined as the RVSP/stroke volume as measured by transthoracic echocardiography). As stroke volume was measured by Doppler at the left ventricular (LV) outflow tract, patients with > moderate aortic valve regurgitation were excluded. The Tricuspid Regurgitation Impact on Outcomes (TRIO) score was calculated as previously described. PA Ea was separated into 4 groups for comparison based on the separation of quartiles of PA Ea rounded to one decimal place. Results In the 13,608 patients studied, PA Ea could be calculated in 12,682 patients (94.4%). The median PA Ea was 0.68 mmHg/mL (IQR 0.50, 0.92). Increasing levels of PA Ea were associated with clinical comorbidities including heart failure, liver and kidney disease and clinical markers of risk such as the TRIO score. Increasing levels of PA Ea were also associated with larger RVs, worse RV systolic function, higher NT-pro BNP levels, and greater degrees of right heart failure (Table). Each quartile of PA Ea was associated with a significant increase in all-cause mortality (Figure). After adjusting for age and sex, PA Ea was associated with higher risk of death (HR 2.41 (2.28-2.56); p<.0001). While worsening degrees of PA Ea correlated with both declining levels of TAPSE/PASP and PAPi (Table), PA Ea was independently predictive of outcome in a combined model: PA Ea HR 1.65 (1.51-1.80, Chi-squ 120, p<.0001); PAPi HR 0.84 (0.80-0.89, Chi-squ 48, p<.0001) and TAPSE/PASP HR 0.32 (017-0.60, Chi-squ 12, p=.0004). Conclusion(s) In patients with significant TR, PA Ea is highly feasible and 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 disease severity in patients with significant TR. Table Assoc. of PA Ea with mortality in TR

Abstract Aims Pulmonary regurgitation (PR) after reparative intervention for congenital heart disease has been studied extensively. However, the burden, distribution of causes, and outcome of PR in adults is unknown. The study aimed to evaluate the prevalence, types, and outcomes of moderate/severe PR in adults in the community setting. Methods and results A total of 398 adult residents of Olmsted County who had clinically indicated echocardiography 2004–2023 at Mayo Clinic, Rochester, and had moderate or severe PR were identified retrospectively. The median age was 77 years, 48% were females, and 61 (51%) had severe PR. The age- and sex-adjusted US prevalence was 0.11% (vs. 0.67% for ≥moderate tricuspid regurgitation). Moderate/severe PR was due to pulmonary hypertension in 77%, congenital/iatrogenic in 11%, primary pulmonary valve disease in 2% (88% due to carcinoid), and idiopathic isolated in 10%. In contrast, severe PR was due to congenital/iatrogenic disease in 52%, pulmonary hypertension in 39%, primary PR in 5%, and isolated idiopathic in 3%. The all-cause mortality rate per 100 person-year was 73 in primary (mostly carcinoid) PR, 16 in pulmonary hypertension–related PR (not different vs. propensity-matched patients without PR), and 6 in isolated idiopathic PR (not different vs. matched patients without PR). Conclusion Moderate or severe PR had a lower prevalence vs. TR. The most frequent cause was pulmonary hypertension for ≥moderate PR and congenital/iatrogenic for severe PR. Mortality in patients with acquired ≥moderate PR appeared to be related to the underlying cause, with no excess mortality compared with matched patients without PR. Whether specifically severe PR confers excess mortality requires future investigation.

Introduction: Heart failure with preserved ejection fraction (HFpEF) is an increasingly prevalent form of heart failure (HF) in the US today. Our prior work revealed low albumin at first hospitalization for HF exacerbation with underlying HFpEF to be an independent predictor of all-cause mortality in a small cohort of patients. We now sought to confirm our earlier findings across a larger and more diverse patient population. Methods: Seven thousand, eight hundred and forty patients had a first admission to Mayo Clinic for HF exacerbation with an echo-confirmed left ventricular ejection fraction>50% between 2010 and 2020. Patient baseline demographics, co-morbidities, admission laboratory values, echocardiographic parameters, discharge medications, and outcomes were obtained from chart abstraction. To validate our previous model, patients were grouped based on the number of risk factors as previously defined: age>80 years, serum albumin level<3.2 g/dl, medial E/e'≥20, N-terminal pro-brain natriuretic peptide (NT-proBNP) >5,000 pg/mL, and the presence of hypertension (HTN). The association with 1 year mortality was studied using Cox regression. Kaplan Meier curves were generated based on the number of factors present per patient. Results: Eleven significant univariate predictors of all-cause mortality were identified from the data (Fig. 1A), with hazard ratios (HR) ranging from 1.22-2.04 (p<0.001 for all). Notably, four previously identified prognosticators (age, albumin, medial E/e’, , HTN) were noted as significant independent predictors of all-cause mortality in HFpEF (HR 1.67, 2.14, 1.18, and 1.15, respectively, p<0.004 for all ; Fig. 1B). Multivariate regression modeling identified low albumin on presentation as being a significant adverse prognosticator (HR=2.14; p-value<0.001). Conclusion: Our analysis of 7840 HFpEF patients confirms our prior findings, suggesting that this model is a strong predictive tool for assessing the prognosis of HFpEF. Taken together, these five variables are easily available in the in-patient setting and can be incorporated into a model predictive of 1-year all-cause mortality.

Background: Atrial functional mitral regurgitation (AFMR) constitutes ~25% of ≥moderate MR and has been associated with a high prevalence and incidence of HFpEF. Transcatheter edge-to-edge repair (TEER) has shown effectiveness in improving symptoms in AFMR, but its impact on mortality and HF hospitalizations is unknown. Objective: Evaluate rates of mortality and HF hospitalizations in patients with ≥moderate AFMR treated with TEER and compare them to conservative management. Methods: Consecutive adults with ≥moderate AFMR (functional MR with left atrial enlargement, ejection fraction≥50%, and absent >mild left ventricular enlargement) were identified retrospectively. Ecxlusion criteria were previous cardiac surgery, ≥moderate aortic regurgitation/stenosis, infiltrative/hypertrophic cardiomyopathy, regional wall motion abnormalities or malignancy. Propensity score matching was performed (1:1 ratio) between patients treated with TEER and patients treated conservatively based on age, sex, EuroScore II, effective regurgitant orifice area, and the integrative MR severity. To ensure similar technique in evaluation in the 2 groups, variables were obtained from the closest transthoracic echocardiogram before TEER in the TEER group [median 65 (IQR 29-111) days]. Results: Overall, 46 patients with ≥moderate AFMR treated by TEER and 46 treated conservatively were included, Table 1 . Patients undergoing TEER had more frequent atrial fibrillation and NYHA class ≥III. MR improved to ≤moderate in 93% of patients undergoing TEER on procedural transesophageal echocardiography, Figure 1 . On 1–3-month post-TEER follow-up, 64% had NYHA class I/II (vs 33% pre-TEER), Figure 1 . Over median 2.2 (IQR 1.2-3.1) years, 32 patients died (rate 13%/year in each group, log-rank p=0.85), Figure 2 . When adjusted for baseline NYHA, rates of HF hospitalizations were not different between the groups (Wald-test p-value=0.48). Residual ≥moderate AFMR in the TEER group was not associated with mortality (log-rank p=0.83), but ≥1 class improvement of NYHA in patients with baseline NYHA >1 was associated with decreased mortality, Figure 2 . Conclusion: MR severity and NYHA class improved with TEER for AFMR, and improved NYHA class was associated with decreased mortality. However, the association of TEER with decreased risk of mortality or HF hospitalization remains unproven, and larger randomized studies are needed to evaluate the potential role of TEER on these outcomes in AFMR.

Background: Electrocardiography-based artificial intelligence (AI-ECG) validated models that detect cardiac disease are increasingly being applied in clinical practice. The utility of such tools to detect insidious cardiac disease in patients with normal baseline left ventricular ejection fraction (LVEF) who paradoxically develop reduced LVEF during exercise stress echocardiography (ESE), and do not have coronary artery disease (CAD) or hypertension, is unknown. Hypothesis: AI-ECG is useful to diagnose insidious cardiac disease and predict clinical outcomes in patients with exercise-induced cardiomyopathy. Aims: To assess the utility of AI ECG in patients with exercise-induced cardiomyopathy. Methods: Among all ESE performed between January 2003 and December 2022, patients without a hypertensive response to exercise and without CAD (confirmed by coronary angiography within 90 days after ESE), with resting LVEF ≥50% and a paradoxical ≥5% LVEF decrease during ESE were identified. A previously validated AI-ECG algorithm that predicts atrial fibrillation (AF), reduced LVEF, and cardiac amyloidosis (CA) was applied to the baseline ECG closest to the time of ESE. The predicted probability of AF, reduced LVEF, and CA if above the published thresholds, was determined. Results: There were 134 patients with exercise-induced cardiomyopathy who were identified. The mean age of this cohort was 66±10 years, 76% were women and 16% had AF at baseline. Mean LVEF was 58±4% at rest and 43±4% at peak stress. The median follow-up period was 6.8 years (IQR 3.0-12.2). Among patients without a baseline history of AF (n=112), AI-ECG identified 29% with a significant probability of AF, which was associated with a subsequent AF diagnosis at univariable analysis (HR 2.505, 95%CI 1.016-6.177, p=0.046). There were 10 patients with an AI-ECG prediction of reduced LVEF among whom 3 were subsequently hospitalized with HF. AI-ECG was positive for CA in 8 and 3 amongst these had subsequent HF hospitalizations (Table). Conclusions: Baseline AI-ECG may help predict subsequent AF and diagnose preclinical amyloid cardiomyopathy in patients who by resting echocardiography do not seem to have cardiac disease but with exercise develop reduced LVEF.

Background: Aortic regurgitation (AR) is a prevalent valve disease with a long latent period to symptoms. Recent data has suggested the role of novel markers of myocardial overload in assessing onset of decompensation. Method: We sought to evaluate the role of unsupervised cluster analyses in identifying different clinical clusters, including clinical status, and a large number of echocardiographic variables including left ventricular (LV) volumes, and their association with mortality. Patients with ≥moderate-severe chronic AR identified using echocardiography at Mayo Clinic, Rochester were retrospectively analyzed. Primary outcome was all-cause mortality censored at aortic valve surgery/last follow-up. Uniform Manifold Approximation and Projection (UMAP) with K -means algorithm was used to cluster patients using clinical and, echocardiographic variables at the time of presentation. Missing data were imputed with the Multiple Imputation by Chained Equations (MICE) method. A supervised approach trained on the training set was used to find cluster membership in a hold-out validation set. Log-rank tests were used to assess differences in mortality rates between the clusters, both in the training and validation sets. Results: Three distinct clusters were identified among 1100 patients (log-rank P for survival <0.001). Cluster 1 (n=337), which included younger males with severe AR but fewer symptoms, showed the best survival, 75.6% (69.5, 82.3). Cluster 2 (n=235), older and more females with elevated filling pressures, showed intermediate survival of 64.2 % (56.8, 72.5). Cluster 3 (n=253), characterized by severe symptomatic AR, demonstrated the lowest survival of 45.3 % (34.4, 59.8) at 5 years. Similar clusters were formed in the internal validation cohort. Conclusion: Distinct clusters with variable echocardiographic features and mortality differences exist within patients with chronic ≥moderate-severe AR. Recognizing these clusters can refine individual risk stratification and clinical decision-making after verification in future prospective studies.

Abstract Aims Aortic stenosis (AS) is a common and progressive disease, which, if left untreated, results in increased morbidity and mortality. Monitoring and follow-up care can be challenging due to significant variability in disease progression. This study aimed to develop machine learning models to predict the risks of disease progression and mortality in patients with mild AS. Methods and results A comprehensive database including 9611 patients with serial transthoracic echocardiograms was collected from a single institution across three clinical sites. The data set included parameters from echocardiograms, electrocardiograms, laboratory values, and diagnosis codes. Data from a single clinical site were preserved as an independent test group. Machine learning models were trained to identify progression to severe stenosis and all-cause mortality and tested in their performance for endpoints at 2 and 5 years. In the independent test group, the AS progression model differentiated those with progression to severe AS within 2 and 5 years with an area under the curve (AUC) of 0.86 for both. The feature of greatest importance was aortic valve mean gradient, followed by other valve haemodynamic measurements including valve area and dimensionless index. The mortality model identified those with mortality within 2 and 5 years with an AUC of 0.84 and 0.87, respectively. Smaller reduced-input validation models had similarly robust findings. Conclusion Machine learning models can be used in patients with mild AS to identify those at high risk of disease progression and mortality. Implementation of such models may facilitate real-time, patient-specific follow-up recommendations.

BACKGROUND: Cardiorenal dysfunction with impaired cyclic GMP (cGMP) response is common in patients presenting with acute heart failure (HF). Type V phosphodiesterase (PDEV) is known to be upregulated in HF and may explain the dysfunction of renal response. The aim of this study was to determine whether B-type natriuretic peptide (BNP) alone or in combination with PDEV inhibition improves renal function and increases urinary sodium and cGMP excretion in acute HF. METHODS: This open-label study included 67 patients hospitalized with acute HF and renal dysfunction. Patients were randomized to standard care, low-dose intravenous BNP (0.005 µg/kg per minute), or combination BNP/PDEV inhibition with sildenafil (25 mg q12 hours) for 48 hours. The coprimary end points were the percent change in estimated glomerular filtration rate and blood urea nitrogen from baseline to 48 hours. RESULTS: Treatment with BNP and BNP/PDEV inhibitor significantly increased plasma cGMP at 24 hours (+25.6% [+9.8%, +84.7%] and +60.8% [+32.3%, +103.8%] for BNP and BNP/PDEV versus −13.5% [−29.1%, +14.2%] with standard care; P =0.001). However, there was no significant change in estimated glomerular filtration rate 0 (−10.8%, +12.7%) for standard care versus 0 (−15.3%, +11.8%) for the BNP group versus –8.8% (−14.3%, +8.3%) for the BNP/PDEV group ( P =0.60) or blood urea nitrogen −1.4% (−10.7%, +12.0%) for standard care versus –5.9% (−14.6%, +9.4%) for the BNP group versus +6.9% (−5.3%, +18.8%) for the BNP/PDEV group ( P =0.38) between groups. Hypotension was more common in the BNP/PDEV inhibitor group. CONCLUSIONS: BNP and combination BNP/PDEV inhibition increased plasma cGMP in patients with acute HF but did not improve renal function or urinary sodium/cGMP excretion. Our study does not support the use of intravenous low-dose BNP with or without PDEV inhibition to enhance renal function in patients admitted with acute HF. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT00972569.

ImportanceSecondary tricuspid regurgitation (STR) is observed in multiple cardiac and pulmonary diseases. Heart failure with preserved ejection fraction (HFpEF) is a common cause of STR that may be overlooked, along with precapillary etiologies of pulmonary hypertension (PH).ObjectivesTo investigate the prevalence of HFpEF and precapillary PH in patients with severe STR of undefined etiology (isolated STR) referred for exercise right heart catheterization (RHC), and to evaluate the performance of noninvasive measures to identify HFpEF.Design, Setting, and ParticipantsThis retrospective cross-sectional study included consecutive adults with severe STR in the absence of EF less than 50%, hemodynamically significant left-sided valve disease, congenital heart disease, infiltrative or hypertrophic cardiomyopathy, pericardial disease, or prior cardiac procedures who underwent rest-and-exercise RHC between February 2006 and June 2023 at Mayo Clinic and transthoracic echocardiography less than 90 days prior. Diastolic dysfunction (DD) was defined by at least 3 of 4 or 2 of 3 abnormal diastolic parameters (medial e’, medial E/e’, tricuspid regurgitation [TR] velocity, left atrial volume index). HFpEF was diagnosed when pulmonary arterial wedge pressure was at least 15 mm Hg at rest, at least 19 mm Hg with feet up, or at least 25 mm Hg during exercise. Data analysis was performed from November 2023 to March 2024.Main Outcomes and MeasuresThe prevalence of HFpEF and precapillary PH in severe isolated STR was determined, and performance of noninvasive measures to identify HFpEF was evaluated.ResultsOverall, 54 patients with severe isolated STR (mean [SD] age, 70.8 [12.5] years; 34 [63%] female) were identified. The primary indication for RHC was evaluation of TR prior to potential intervention in 36 patients (67%), evaluation of PH in 13 (24%), and confirmation of HFpEF in 5 (9%). HFpEF was identified in 40 patients (74%) but was recognized prior to RHC in only 19 patients (35%). Of the 14 remaining patients without HFpEF, precapillary PH was diagnosed in 10 (71%). Guideline-defined DD was absent in 24 patients (60%) who were subsequently diagnosed with HFpEF. Left atrial emptying fraction (area under the receiver operating characteristic curve [AUC] = 0.90; 95% CI, 0.82-0.98) and strain (AUC = 0.91; 95% CI, 0.83-0.99) had robust discrimination for HFpEF.Conclusions and RelevanceThe findings suggest that HFpEF is underdiagnosed and should be rigorously evaluated for in patients with severe isolated STR, along with precapillary PH, as both have distinct requirements for management. Resting DD based on current guidelines is insufficiently sensitive in these patients, indicating a pressing need for other noninvasive diagnostic tools, such as left atrial function assessment.

Abstract Introduction Aortic stenosis (AS) presents diagnostic challenges, especially in patients with discordant low gradient AS (LGAS), i.e., small aortic valve area (AVA) and low Doppler mean gradient (MG). LGAS is associated with worse outcomes compared to concordant AS. Aortic valve calcium score (AVCS) is a measure of AS severity independent of flow and helps diagnose severe AS. It is unknown if the degree of discordance in AVCS and MG is of any clinical significance. A high AVCS/MG ratio may indicate impaired ventricular function and response to pressure overload despite preserved LVEF, potentially contributing to worse outcomes. Purpose This study aims to elucidate the prognostic significance of the AVCS/MG ratio in patients with severe AS and preserved left ventricular ejection fraction (LVEF) undergoing TAVR. We hypothesized a higher AVCS/MG ratio correlates with increased mortality. Methods Patients who underwent transcatheter aortic valve replacement (TAVR) from 2010 to 2020 for native valve severe AS with LVEF≥50% were identified from an institutional database. AVCS were obtained within 90 days of pre-TAVR echocardiography. Patients were divided into tertiles based on their AVCS/MG ratio. Primary outcome was overall mortality. Results The analysis included 1067 patients (mean age 79±9 years, 43% female); overall AVA was 0.80±0.14 cm², LVEF 63±6%, MG 46±12 mmHg, AVCS 2630±1528 AU, and AVCS/MG ratio 58±31. Patients stratified by AVCS/MG tertiles showed no difference in overall comorbidity index across tertiles (Figure 1). However, the group in the highest tertile was the oldest (80±8 vs 79±8 vs 77±9 years), predominantly male (87% vs 61% vs 24%), with the highest prevalent atrial fibrillation (44% vs 28% vs 25%) and stroke volume index &lt;35 mL/m² (16% vs 11% vs 5%). 9-year survival was 15% vs 25% vs 36% (p&lt;0.001, Figure 2). In multivariate analysis adjusted for age, sex, comorbidities, LVEF and AVA, AVCS/MG ratio was independently associated with increased risk of mortality (HR 1.005; 95% CI [1.001-1.008], p=0.005). Conclusion Higher AVCS/MG discordance is associated with increased risk of mortality following TAVR. Serial AVCS measurements during progressive AS may help identify patients at higher risk who may potentially benefit from earlier aortic valve intervention.