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Aims: Left ventricular (LV) subclinical impairment has been described in heart failure with preserved ejection fraction (HFpEF). We assessed the relationship between LV myocardial deformation by strain imaging and recurrent hospitalization for heart failure (HF) or cardiovascular death in a large international HFpEF population., Methods and Results: We assessed two-dimensional speckle-tracking based global longitudinal strain (GLS) in 790 patients (mean age 74 ± 8 years, 54% female) with adequate image quality enrolled in the PARAGON-HF echocardiography study. We examined the relationship of GLS with total HF hospitalizations and cardiovascular death (the primary composite outcome) after accounting for clinical confounders. Approximately 47% of the population had evidence of LV subclinical dysfunction, defined as absolute GLS <16%. Impaired GLS was significantly associated with higher values of circulating baseline N-terminal pro-B-type-natriuretic peptide. After a median follow-up of 3.0 years, there were 407 total HF hospitalizations and cardiovascular deaths. After multivariable adjustment, worse GLS was associated with a greater risk for the primary composite outcome (adjusted hazard ratio per 1% decrease: 1.06; 95% confidence interval 1.02-1.11; p = 0.008). GLS did not modify the treatment effect of sacubitril/valsartan compared with valsartan for the composite outcome (p for interaction >0.1)., Conclusions: In a large HFpEF population, impaired LV function was observed even among patients with preserved ejection fraction, and was associated with an increased risk of total HF hospitalizations or cardiovascular death, accounting for clinical confounders. These findings highlight the key role of subtle LV systolic impairment in the pathophysiology of HFpEF., (© 2024 European Society of Cardiology.)

Background: Echocardiography provides complex data on cardiac function that can be integrated into patterns of dysfunction related to the severity of cardiac disease. The aim of this study was to demonstrate the feasibility of applying machine learning (ML) to automate the integration of echocardiographic data from the whole cardiac cycle and to automatically recognize patterns in velocity profiles and deformation curves, allowing the identification of functional phenotypes., Methods: Echocardiography was performed in 189 clinically managed patients with hypertension and 97 healthy individuals without hypertension. Speckle-tracking analysis of the left ventricle and atrium was performed, and deformation curves were extracted. Aortic and mitral blood pool pulsed-wave Doppler and mitral annular tissue pulsed-wave Doppler velocity profiles were obtained. These whole-cardiac cycle deformation and velocity curves were used as ML input. Unsupervised ML was used to create a representation of patients with hypertension in a virtual space in which patients are positioned on the basis of the similarity of their integrated whole-cardiac cycle echocardiography data. Regression methods were used to explore patterns of echocardiographic traces within this virtual ML-derived space, while clustering was used to define phenogroups., Results: The algorithm captured different patterns in tissue and blood-pool velocity and deformation profiles and integrated the findings, yielding phenotypes related to normal cardiac function and others to advanced remodeling associated with pressure overload in hypertension. The addition of individuals without hypertension into the ML-derived space confirmed the interpretation of normal and remodeled phenotypes., Conclusions: ML-based pattern recognition is feasible from echocardiographic data obtained during the whole cardiac cycle. Automated algorithms can consistently capture patterns in velocity and deformation data and, on the basis of these patterns, group patients into interpretable, clinically comprehensive phenogroups that describe structural and functional remodeling. Automated pattern recognition may potentially aid interpretation of imaging data and diagnostic accuracy., (Copyright © 2021 American Society of Echocardiography. Published by Elsevier Inc. All rights reserved.)

A index of non-invasive myocardial work (MWI) can account for pressure during the assessment of cardiac function, potentially separating the influence of loading conditions from the influence of the underlying tissue remodelling. The aim is to assess LV function accounted for loading and explore hypertensive MWI distribution by comparing healthy individuals to hypertensive patients without and with localized basal septal hypertrophy (BSH). An echocardiogram was performed in 170 hypertensive patients and 20 healthy individuals. BSH was defined by a basal-to-mid septal wall thickness ratio ≥ 1.4. LV speckle-tracking was performed, and the MWI calculated globally and regionally for the apical, mid and basal regions. An apex-to-base gradient, seen in regional strain values, was preserved in the distribution of myocardial work, with the apical region compensating for the impairment of the basal segments. This functional redistribution was further pronounced in patients with localized BSH. In these patients, segmental MWI analysis revealed underlying impairment of regional work unrelated to acute loading conditions. Non-invasive MWI analysis offers the possibility to compare LV function regardless of blood pressure at the time of observation. Changes in MWI distribution can be seen in hypertension unrelated to the load-dependency of strain. Accentuated functional changes affirm the role of BSH as an echocardiographic marker in hypertension.

Background and Aim: The main challenge of assessing diastolic function is the balance between clinical utility, in the sense of usability and time-efficiency, and overall applicability, in the sense of precision for the patient under investigation. In this review, we aim to explore the challenges of integrating data in the assessment of diastolic function and discuss the perspectives of a more comprehensive data integration approach., Methods: Review of traditional and novel approaches regarding data integration in the assessment of diastolic function., Results: Comprehensive data integration can lead to improved understanding of disease phenotypes and better relation of these phenotypes to underlying pathophysiological processes-which may help affirm diagnostic reasoning, guide treatment options, and reduce limitations related to previously unaddressed confounders. The optimal assessment of diastolic function should ideally integrate all relevant clinical information with all available structural and functional whole cardiac cycle echocardiographic data-envisioning a personalized approach to patient care, a high-reaching future goal in medicine., Conclusion: Complete data integration seems to be a long-lasting goal, the way forward in diastology, and machine learning seems to be one of the tools suited for the challenge. With perpetual evidence that traditional approaches to complex problems may not the optimal solution, there is room for a steady and cautious, and inherently very exciting paradigm shift toward novel diagnostic tools and workflows to reach a more personalized, comprehensive, and integrated assessment of cardiac function., (© 2020 Wiley Periodicals LLC.)

Variability in global and regional peak strain has been thoroughly studied, but variability in spatiotemporal myocardial strain patterns has not been studied as well. This study reports on such variability and its implications for adequate disease interpretation. Forty in-training operators, distributed on 20 workstations, analyzed six cases with representative deformation patterns with commercial speckle tracking. Inter-operator differences were quantified through the variability in myocardial delineations, spatiotemporal longitudinal strain patterns and peak longitudinal strain. Intra-operator differences were assessed similarly using 10 repeated measurements from a single clinician expert. Delineations varied mainly along the lateral wall and at the valve level. Peak longitudinal strain variability was low to moderate. The spatiotemporal strain patterns were consistent despite high variability at the apex and near the valve. The results indicate that relevant pattern assessment is possible despite heterogeneous experience with speckle tracking and that careful interpretation of pattern abnormalities should be recommended before a more systematic quantitative analysis., (Copyright © 2019 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.)

Background: The PARAGON-HF (Prospective Comparison of ARNI With ARB Global Outcomes in HF With Preserved Ejection Fraction) trial tested the efficacy of sacubitril-valsartan in patients with heart failure with preserved ejection fraction (HFpEF). Existing data on cardiac structure and function in patients with HFpEF suggest significant heterogeneity., Objectives: The aim of this study was to characterize cardiac structure and function, quantify their associations with clinical outcomes, and contextualize these findings with other HFpEF studies., Methods: Echocardiography was performed in 1,097 of 4,822 PARAGON-HF patients within 6 months of enrollment. Associations with incident first heart failure hospitalization or cardiovascular death were assessed using Cox proportional hazards models adjusted for age, sex, region of enrollment, randomized treatment, N-terminal pro-brain natriuretic peptide, and clinical risk factors., Results: Average age was 74 ± 8 years, 53% of patients were women, median N-terminal pro-brain natriuretic peptide level was 918 pg/ml (interquartile range: 485 to 1,578 pg/ml), 94% had hypertension, and 35% had atrial fibrillation. The mean left ventricular (LV) ejection fraction was 58.6 ± 9.8%, prevalence of LV hypertrophy was 21%, prevalence of left atrial enlargement was 83%, prevalence of elevated E/e' ratio was 53%, and prevalence of pulmonary hypertension was 31%. Heart failure hospitalization or cardiovascular death occurred in 288 patients at 2.8-year median follow-up. In fully adjusted models, higher LV mass index (hazard ratio [HR]: 1.05 per 10 g/m 2 ; 95% confidence interval [CI]: 1.00 to 1.10; p = 0.03), E/e' ratio (HR: 1.04 per unit; 95% CI: 1.02 to 1.06; p < 0.001), pulmonary artery systolic pressure (HR: 1.51 per 10 mm Hg; 95% CI: 1.29 to 1.76; p < 0.001), and right ventricular end-diastolic area (HR: 1.04 per cm 2 ; 95% CI: 1.01 to 1.07; p = 0.003) were each associated with this composite, while LV ejection fraction and left atrial size were not (p > 0.05 for all). Appreciable differences were observed in cardiac structure compared with other HFpEF clinical trials, despite similar E/e' ratio, pulmonary artery systolic pressure, and event rates., Conclusions: Diastolic dysfunction, left atrial enlargement, and pulmonary hypertension were common in PARAGON-HF. LV hypertrophy, elevated left- and right-sided pressures, and right ventricular enlargement were independently predictive of incident heart failure hospitalization or cardiovascular death. Echocardiographic differences among HFpEF trials despite similar clinical event rates highlight the heterogeneity of this syndrome. (Efficacy and Safety of LCZ696 Compared to Valsartan, on Morbidity and Mortality in Heart Failure Patients With Preserved Ejection Fraction [PARAGON-HF]; NCT01920711)., (Copyright © 2019 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Despite the rapid development of emerging imaging technologies, left ventricular ejection fraction represents the cornerstone of diagnosis, choice of treatment, and prognosis in heart failure. However, true myocardial function often remains underestimated or overestimated in different conditions underlying this heterogeneous syndrome. Changes in left ventricular size and left ventricular ejection fraction, termed reverse remodeling, are among the main goals of treatment in heart failure, aimed at halting or attenuating disease progression. The lack of effective therapeutic approaches in nearly one-half of the heart failure population highlights the need for integrating novel echocardiographic measures to better understand the underlying pathophysiologic mechanisms., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Percutaneous coronary intervention in patients with cardiac allograft vasculopathy is burdened with a lot of difficulties. Although they have allowed significant progress in comparison with plain balloon angioplasty and bare metal stents, drug-eluting stents have not fully overcome problems of diffuse lesions and small-vessel disease that are so common in transplant coronary artery disease. There is growing evidence that drug-eluting balloons might be a better choice for patients with small vessel atherosclerotic coronary disease and yet there is no experience with this technology in patients with cardiac allograft vasculopathy. Herein we report a case series of successful percutaneous coronary interventions in patients with cardiac allograft vasculopathy. [ABSTRACT FROM AUTHOR]