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Aims: We aimed to confirm that three-dimensional echocardiography–derived right ventricular ejection fraction (RVEF) is better associated with adverse cardiopulmonary outcomes than the conventional echocardiographic parameters. Methods: We performed a meta-analysis of studies reporting the impact of unit change of RVEF, tricuspid annular plane systolic excursion (TAPSE), fractional area change (FAC), and free-wall longitudinal strain (FWLS) on clinical outcomes (all-cause mortality and/or adverse cardiopulmonary outcomes). Hazard ratios (HRs) were rescaled by the within-study SDs to represent standardized changes. Within each study, we calculated the ratio of HRs related to a 1 SD reduction in RVEF versus TAPSE, or FAC, or FWLS, to quantify the association of RVEF with adverse outcomes relative to the other metrics. These ratios of HRs were pooled using random-effects models. Results: Ten independent studies were identified as suitable, including data on 1,928 patients with various cardiopulmonary conditions. Overall, a 1 SD reduction in RVEF was robustly associated with adverse outcomes (HR = 2.64 [95% CI, 2.18-3.20], P < .001; heterogeneity: I 2 = 65%, P = .002). In studies reporting HRs for RVEF and TAPSE, or RVEF and FAC, or RVEF and FWLS in the same cohort, head-to-head comparison revealed that RVEF showed significantly stronger association with adverse outcomes per SD reduction versus the other 3 parameters (vs TAPSE, HR = 1.54 [95% CI, 1.04-2.28], P = .031; vs FAC, HR = 1.45 [95% CI, 1.15-1.81], P = .001; vs FWLS, HR = 1.44 [95% CI, 1.07-1.95], P = .018). Conclusion: Reduction in three-dimensional echocardiography–derived RVEF shows stronger association with adverse clinical outcomes than conventional right ventricular functional indices; therefore, it might further refine the risk stratification of patients with cardiopulmonary diseases.

Background and aimOver the past decades, we have witnessed an immense expansion in the arsenal and performance of machine learning (ML) algorithms. One of the most important fields that could benefit from these advancements is biomedical science. To streamline the training and evaluation of binary classifiers, we constructed a universal and flexible ML framework that uses tabular biomedical data as input.Methods and resultsOur framework requires the input data to be provided as a comma-separated values file, in which rows correspond to subjects and columns represent different features. After reading the content of this file, the framework enables the users to perform outlier detection, handle missing values, rescale features, and tackle class imbalance. Then, hyperparameter tuning, feature selection, and internal validation are performed using nested cross-validation. If an additional dataset is available, the framework also provides the option for external validation. Users may also compute SHapley Additive exPlanations values to interpret the individual predictions of the model and identify the most important features. Our ML framework was implemented in Python (version 3.9), and its source code is freely available via GitHub. In the second part of this paper, we also demonstrate the usage of the framework through a case study from the field of cardiovascular imaging.ConclusionsThe proposed ML framework enables the efficient training and evaluation of binary classifiers on tabular biomedical data. We hope our framework will serve as a useful resource for both learning and research purposes and will promote further innovation.

The number of cardiovascular imaging studies is growing exponentially, and so is the demand to improve the efficacy of the imaging workflow. Over the past decade, studies have demonstrated that machine learning (ML) holds promise to revolutionize cardiovascular research and clinical care. ML may improve several aspects of cardiovascular imaging, such as image acquisition, segmentation, image interpretation, diagnostics, therapy planning, and prognostication. In this review, we discuss the most promising applications of ML in cardiovascular imaging and also highlight the several challenges to its widespread implementation in clinical practice.

Aims While left ventricular (LV) adaptation to regular, intense exercise has been thoroughly studied, data concerning the right ventricular (RV) mechanical changes and their continuum with athletic performance are scarce. The aim of this study was to characterize biventricular morphology and function and their relation to sex, age, and sports classes in a large cohort of elite athletes using three-dimensional (3D) echocardiography. Methods and results Elite, competitive athletes (n = 422) and healthy, sedentary volunteers (n = 55) were enrolled. Left ventricular and RV end-diastolic volumes (EDVi) and ejection fractions (EFs) were measured. To characterize biventricular mechanics, LV and RV global longitudinal (GLS) and circumferential strains (GCS) were quantified. All subjects underwent cardiopulmonary exercise testing to determine peak oxygen uptake (VO2/kg). Athletes had significantly higher LV and RV EDVi compared with controls (athletes vs. controls; LV EDVi: 81 ± 13 vs. 62 ± 11 mL/m2, RV EDVi: 82 ± 14 vs. 63 ± 11 mL/m2; P < 0.001). Concerning biventricular systolic function, athletes had significantly lower resting LV and RV EF (LV EF: 57 ± 4 vs. 61 ± 5%; RV EF: 55 ± 5 vs. 59 ± 5%; P < 0.001). The exercise-induced relative decrease in LV GLS (9.5 ± 10.7%) and LV GCS (10.7 ± 9.8%) was similar; however, the decrement in RV GCS (14.8 ± 17.8%) was disproportionately larger compared with RV GLS (1.7 ± 15.4%, P < 0.01). Right ventricular EDVi was found to be the strongest independent predictor of VO2/kg by multivariable linear regression. Conclusion Resting LV mechanics of the athlete’s heart is characterized by a balanced decrement in GLS and GCS; however, RV GCS decreases disproportionately compared with RV GLS. Moreover, this mechanical pattern is associated with better exercise capacity.

The development of secondary tricuspid regurgitation (TR) is associated with poor outcomes in patients with heart failure and reduced left ventricular (LV) ejection fraction (HFrEF). Data are scarce concerning the right ventricular (RV) morphological and functional remodeling in HFrEF in relation to the severity of TR. Accordingly, we aimed to characterize RV remodeling in HFrEF patients with and without significant TR using three-dimensional (3D) echocardiography. We retrospectively identified 138 patients with HFrEF. In this cohort, we graded TR severity according to current guidelines and compared patients with no to mild TR (non-significant TR, n=78) versus patients with moderate to severe TR (significant TR, n=60). All patients underwent clinically indicated 3D transthoracic echocardiography. 3D LV and RV end-diastolic volumes (EDVi) and ejection fractions (EF) were measured. To characterize RV mechanical pattern, the ReVISION method was used to quantify the contribution of the longitudinal, radial, and anteroposterior motion components to total RV EF. Patients with significant TR had higher LV EDVi and lower LV EF compared with patients with non-significant TR (LV EDVi: 117.2±34.9 vs. 102.6±39.6 ml/m2; LV EF: 27.0±6.6 vs. 30.2±7.7%, both p

Aims To investigate contraction patterns of the systemic right ventricle (SRV) in patients with transposition of great arteries (TGA) post-atrial switch operation and with congenitally corrected transposition of great arteries (ccTGA). Methods and results Right ventricular (RV) volumes and ejection fraction (EF) were measured by three-dimensional echocardiography in 38 patients with the SRV (24 TGA and 14 ccTGA; mean age 45 ± 12 years, 63% male), and in 38 healthy volunteers. The RV contraction was decomposed along the longitudinal, radial, and anteroposterior directions providing longitudinal, radial, and anteroposterior EF (LEF, REF, and AEF, respectively) and their contributions to total right ventricular ejection fraction (LEFi, REFi, and AEFi, respectvely). SRV was significantly larger with lower systolic function compared with healthy controls. SRV EF and four-chamber longitudinal strain strongly correlated with B-type natriuretic peptide (BNP) level (Rho −0.73, P < 0.0001 and 0.70, P < 0.0001, respectively). In patients with TGA, anteroposterior component was significantly higher than longitudinal and radial components (AEF 17 ± 4.5% vs. REF 13 ± 4.9% vs. LEF 10 ± 3.3%, P < 0.0001; AEFi 0.48 ± 0.09 vs. REFi 0.38 ± 0.1 vs. LEFi 0.29 ± 0.08, P < 0.0001). In patients with ccTGA, there was no significant difference between three SRV components. AEFi was significantly higher in TGA subgroup compared with ccTGA (0.48 ± 0.09 vs. 0.36 ± 0.08, P = 0.0002). Conclusion Contraction patterns of the SRV are different in TGA and ccTGA. Anteroposterior component is dominant in TGA providing compensation for impaired longitudinal and radial components, while in ccTGA all components contribute equally to the total EF. SRV EF and longitudinal strain demonstrate strong correlation with BNP level and should be a part of routine echocardiographic assessment of the SRV.

Background and aim Right ventricular (RV) ejection fraction (EF) assessed by 3D echocardiography is a powerful measure to detect RV dysfunction. However, its prognostic value in routine clinical practice has been scarcely explored. Accordingly, we aimed at investigating whether RVEF is associated with 2-year all-cause mortality in patients who underwent diverse cardiovascular procedures and to test whether RVEF can overcome conventional echocardiographic parameters in terms of outcome prediction. Patients and methods One hundred and seventy-four patients were retrospectively identified who underwent clinically indicated transthoracic echocardiography comprising 3D acquisitions. The patient population consisted of heart failure with reduced ejection fraction patients (44%), heart transplanted patients (16%), and severe valvular heart disease patients (39%). Beyond conventional echocardiographic measurements, RVEF was quantified by 3D echocardiography. The primary endpoint of our study was all-cause mortality at two years. Results Twenty-four patients (14%) met the primary endpoint. Patients with adverse outcomes had significantly lower RVEF (alive vs. dead; 48 ± 9 vs. 42 ± 9%, P < 0.01). However, tricuspid annular plane systolic excursion (21 ± 7 vs. 18 ± 4 mm), and RV systolic pressure (36 ± 15 vs. 39 ± 15 mmHg) were similar. By Cox analysis, RVEF was found to be associated with adverse outcomes (HR [95% CI]: 0.945 [0.908–0.984], P < 0.01). By receiver-operator characteristic analysis, RVEF exhibited the highest AUC value compared with the other RV functional measures (0.679; 95% CI: 0.566–0.791). Conclusions Conventional echocardiographic measurements may be inadequate to support a granular risk stratification in patients who underwent different cardiac procedures. RVEF may be a robust clinical parameter, which is significantly associated with adverse outcomes.

Aims We sought to investigate the correlation between speckle-tracking echocardiography (STE)-derived myocardial work (MW) and invasively measured contractility in a rat model of athlete's heart. We also assessed MW in elite athletes and explored its association with cardiopulmonary exercise test (CPET)-derived aerobic capacity. Methods and results Sixteen rats underwent a 12-week swim training program and were compared to controls (n = 16). STE was performed to assess global longitudinal strain (GLS), which was followed by invasive pressure-volume analysis to measure contractility [slope of end-systolic pressure–volume relationship (ESPVR)]. Global MW index (GMWI) was calculated from GLS curves and left ventricular (LV) pressure recordings. In the human investigations, 20 elite swimmers and 20 healthy sedentary controls were enrolled. GMWI was calculated through the simultaneous evaluation of GLS and non-invasively approximated LV pressure curves at rest. All subjects underwent CPET to determine peak oxygen uptake (VO2/kg). Exercised rats exhibited higher values of GLS, GMWI, and ESPVR than controls (−20.9 ± 1.7 vs. −17.6 ± 1.9%, 2745 ± 280 vs. 2119 ± 272 mmHg·%, 3.72 ± 0.72 vs. 2.61 ± 0.40 mmHg/μL, all PExercise < 0.001). GMWI correlated robustly with ESPVR (r = 0.764, P, Graphical Abstract ESPVR, slope of end-systolic pressure–volume relationship (i.e. the slope of the curve connecting the end-systolic points of the pressure–volume loops recorded during the transient occlusion of inferior vena cava); GLS, global longitudinal strain; GMWI, global myocardial work index; LV, left ventricular; VO2/kg, peak oxygen uptake.

Aims Patients with a pacemaker or implantable cardioverter-defibrillator are often considered for cardiac resynchronization therapy (CRT). However, limited comprehensive data are available regarding their long-term outcomes. Methods and results Our retrospective registry included 2524 patients [1977 (78%) de novo, 547 (22%) upgrade patients] with mild to severe symptoms, left ventricular ejection fraction ≤35%, and QRS ≥ 130ms. The primary outcome was the composite of all-cause mortality, heart transplantation (HTX), or left ventricular assist device (LVAD) implantation; secondary endpoints were death from any cause and post-procedural complications. In our cohort, upgrade patients were older [71 (65–77) vs. 67 (59–73) years; P Conclusion In our retrospective analysis, upgrade patients had a higher risk of all-cause mortality than de novo patients, which might be attributable to their more significant comorbidity burden. The occurrence of lead dysfunction and pocket infections was more frequent in the upgrade group.

Intense exercise exposes the heart to significant hemodynamic demands, resulting in adaptive changes in cardiac morphology and function. Nevertheless, the athletic adaptation of the atrioventricular valves remains to be elucidated. Our study aimed to characterize the geometry of mitral (MA) and tricuspid (TA) annuli in elite athletes using 3-D echocardiography. Thirty-four athletes presented with functional mitral regurgitation (FMR) were retrospectively identified and compared with 34 athletes without mitral regurgitation (MR) and 34 healthy, sedentary volunteers. 3-D echocardiographic datasets were used to quantify MA and TA geometry and leaflet tenting by dedicated softwares. MA and TA areas, as well as tenting volumes, were higher in athletes compared with controls. MA area was significantly higher in athletes with MR compared with those without (8.2 ± 1.0 vs. 7.2 ± 1.0 cm

AimsWe aimed to confirm that three-dimensional echocardiography (3DE)-derived right ventricular (RV) ejection fraction (EF) is a more robust predictor of adverse cardiopulmonary outcomes than the conventional echocardiographic parameters.Methods and ResultsWe performed a meta-analysis of studies reporting the impact of unit change of RVEF, tricuspid annular plane systolic excursion (TAPSE), fractional area change (FAC), and free-wall longitudinal strain (FWLS) on clinical outcomes (all-cause mortality and/or adverse cardiopulmonary outcomes). Hazard ratios (HR) were rescaled by the within-study standard deviations (SD) to represent standardized changes. Within each study, we calculated the ratio of HRs related to 1 SD reduction in RVEF versus TAPSE, or FAC, or FWLS, to quantify the predictive value of RVEF relative to the other metrics. These ratios of HRs were pooled using random-effects models.Ten independent studies were identified as suitable, including data on 1,928 patients with various cardiopulmonary conditions. Overall, 1 SD reduction in RVEF was robustly associated with adverse outcomes (HR: 2.64 [95% CI: 2.18 to 3.20], p2=65%, p=0.002). In studies reporting HRs for RVEF and TAPSE, FAC, or FWLS in the same cohort, RVEF had superior predictive value per SD reduction versus the other three parameters (vs. TAPSE, HR: 1.54 [95% CI: 1.04 to 2.28], p=0.031; vs. FAC, HR: 1.45 [95% CI: 1.15 to 1.81], p=0.001; vs. FWLS, HR: 1.44 [95% CI: 1.07 to 1.95], p=0.018).Conclusion3DE-derived RVEF has superior prognostic value compared with conventional RV indices, therefore, it might further refine the risk stratification of patients with cardiopulmonary diseases.Graphical AbstractAdded predictive value of three-dimensional (3D) echocardiography-derived right ventricular ejection fraction (RVEF) versus conventional metrics of RV systolic function on clinical outcomes: a meta-analysis of 10 studies. FAC: fractional area change, FWLS: free-wall longitudinal strain, HR: hazard ratio, SD: standard deviation, TAPSE: tricuspid annular plane systolic excursion

Aims While global longitudinal strain (GLS) is considered to be a sensitive marker of left ventricular (LV) function, it is significantly influenced by loading conditions. We hypothesized that global myocardial work index (GMWI), a novel marker of LV function, may show better correlation with load‐independent markers of LV contractility in rat models of pressure‐induced or volume overload‐induced heart failure. Methods and results Male Wistar rats underwent either transverse aortic constriction (TAC; n = 12) or aortocaval fistula creation (ACF; n = 12), inducing LV pressure or volume overload, respectively. Sham procedures were performed to establish control groups (n = 12/12). Echocardiographic loops were obtained to determine GLS and GMWI. Pressure‐volume analysis with transient occlusion of the inferior caval vein was carried out to calculate preload recruitable stroke work (PRSW), a load‐independent ‘gold‐standard’ parameter of LV contractility. Myocardial samples were collected to assess interstitial and perivascular fibrosis area and also myocardial atrial‐type natriuretic peptide (ANP) and brain‐type natriuretic peptide (BNP) relative mRNA expression. Compared with controls, GLS was substantially lower in the TAC group (−7.0 ± 2.8 vs. −14.5 ± 2.5%; P

BackgroundEchocardiographic strain measurements require extensive operator experience and have significant inter-vendor variability. This study sought to develop an automated deep learning strain (DLS) analysis pipeline and validate its performance both externally and prospectively.MethodsThe DLS pipeline takes blood pool semantic segmentation results from the EchoNet-Dynamic network and derives longitudinal strain from the frame-by-frame change in the length of the left ventricular endocardial contour. The pipeline was developed using 7,465 echocardiographic videos, with preprocessing steps optimized to determine the change in endocardial length from systole to diastole. It was evaluated on a large external retrospective dataset and was prospectively compared with manual within-patient acquisition of repeated measures by two experienced sonographers and two separate vendor speckle-tracking methods on different machines.ResultsIn the external validation set, the DLS method maintained moderate agreement (intraclass correlation coefficient (ICC) 0.58, pConclusionsThe DLS measurement provides lower variance than human measurements and similar quantitative results. The method is rapid, consistent, vendor-agnostic, publicly released, and robust across a wide range of imaging qualities.

Aims The PREPARE‐MVR study (PRediction of Early PostoperAtive Right vEntricular failure in Mitral Valve Replacement/Repair patients) sought to investigate the alterations of right ventricular (RV) contraction pattern in patients undergoing mitral valve replacement/repair (MVR) and to explore the associations between pre‐operative RV mechanics and early post‐operative RV dysfunction (RVD). Methods and results We prospectively enrolled 42 patients (63 ± 11 years, 69% men) undergoing open‐heart MVR. Transthoracic three‐dimensional (3D) echocardiography was performed pre‐operatively, at intensive care unit discharge, and 6 months after surgery. The 3D model of the RV was reconstructed, and RV ejection fraction (RVEF) was calculated. We decomposed the motion of the ventricle to compute longitudinal ejection fraction (LEF) and radial ejection fraction (REF). Pulmonary artery catheterization was performed to monitor RV stroke work index (RVSWi). RVEF was slightly decreased after MVR [52 (50–55) vs. 51 (46–54)%; P = 0.001], whereas RV contraction pattern changed notably. Before MVR, the longitudinal shortening was the main contributor to global systolic RV function [LEF/RVEF vs. REF/RVEF; 0.53 (0.47–0.58) vs. 0.33 (0.22–0.42); P

Objectives The authors applied unsupervised machine-learning techniques for integrating echocardiographic features of left ventricular (LV) structure and function into a patient similarity network that predicted major adverse cardiac event(s) (MACE) in an individual patient. Background Patient similarity analysis is an evolving paradigm for precision medicine in which patients are clustered or classified based on their similarities in several clinical features. Methods A retrospective cohort of 866 patients was used to develop a network architecture using 9 echocardiographic features of LV structure and function. The data for 468 patients from 2 prospective cohort registries were then added to test the model’s generalizability. Results The map of cross-sectional data in the retrospective cohort resulted in a looped patient network that persisted even after the addition of data from the prospective cohort registries. After subdividing the loop into 4 regions, patients in each region showed unique differences in LV function, with Kaplan-Meier curves demonstrating significant differences in MACE-related rehospitalization and death (both p Conclusions Patient similarity analysis integrates multiple features of cardiac function to develop a phenotypic network in which patients can be mapped to specific locations associated with specific disease stage and clinical outcomes. The use of patient similarity analysis may have relevance for automated staging of cardiac disease severity, personalized prediction of prognosis, and monitoring progression or response to therapies.

Aims Our aim was to develop a machine learning (ML)-based risk stratification system to predict 1-, 2-, 3-, 4-, and 5-year all-cause mortality from pre-implant parameters of patients undergoing cardiac resynchronization therapy (CRT). Methods and results Multiple ML models were trained on a retrospective database of 1510 patients undergoing CRT implantation to predict 1- to 5-year all-cause mortality. Thirty-three pre-implant clinical features were selected to train the models. The best performing model [SEMMELWEIS-CRT score (perSonalizEd assessMent of estiMatEd risk of mortaLity With machinE learnIng in patientS undergoing CRT implantation)], along with pre-existing scores (Seattle Heart Failure Model, VALID-CRT, EAARN, ScREEN, and CRT-score), was tested on an independent cohort of 158 patients. There were 805 (53%) deaths in the training cohort and 80 (51%) deaths in the test cohort during the 5-year follow-up period. Among the trained classifiers, random forest demonstrated the best performance. For the prediction of 1-, 2-, 3-, 4-, and 5-year mortality, the areas under the receiver operating characteristic curves of the SEMMELWEIS-CRT score were 0.768 (95% CI: 0.674–0.861; P Conclusion The SEMMELWEIS-CRT score (available at semmelweiscrtscore.com) exhibited good discriminative capabilities for the prediction of all-cause death in CRT patients and outperformed the already existing risk scores. By capturing the non-linear association of predictors, the utilization of ML approaches may facilitate optimal candidate selection and prognostication of patients undergoing CRT implantation.

Supplemental Digital Content is available in the text., Background: The functional adaptation of the right ventricle (RV) to the different degrees of left ventricular (LV) dysfunction remains to be clarified. We sought to (1) assess the changes in RV contraction pattern associated with the reduction of LV ejection fraction (EF) and (2) analyze whether the assessment of RV longitudinal, radial, and anteroposterior motion components of total RVEF adds prognostic value. Methods: Consecutive patients with left-sided heart disease who underwent clinically indicated transthoracic echocardiography were enrolled in a single-center prospective observational study. Adverse outcome was defined as heart failure hospitalization or cardiac death. Cross-sectional analysis using the baseline 3-dimensional echocardiography studies was performed to quantify the relative contribution of the longitudinal, radial, and anteroposterior motion components to total RVEF. Results: We studied 292 patients and followed them for 6.7±2.2 years. In patients with mildly and moderately reduced LVEF, the longitudinal and the anteroposterior components of RVEF decreased significantly, while the radial component increased resulting in preserved total RVEF (RVEF: 50% [46%–54%] versus 47% [44%–52%] versus 46% [42%–49%] in patients with no, mild, or moderate LV dysfunction, respectively; data presented as median and interquartile range). In patients with severe LV systolic dysfunction (n=34), a reduction in all 3 RV motion components led to a significant drop in RVEF (30% [25%-39%], P45%), the anteroposterior component of total RVEF was a significant and independent predictor of outcome (hazard ratio, 0.960 [CI, 0.925–0.997], P

Background Cardiac Resynchronization Therapy (CRT) can reverse the harmful effects of right ventricular pacing (RVP). Data are sparse on comparing all-cause mortality among patients undergone CRT-defibrillator (CRT-D) or CRT-pacemaker (CRT-P) upgrade from pacemakers without prior ventricular arrhythmias (VAs). Purpose We compared the differences in long-term all-cause mortality, postprocedural complications and the occurrence of VAs among patients receiving CRT-D or CRT-P upgrade. Methods Patients with a previously implanted conventional pacemaker (PM) developing heart failure (HF) despite optimal medical treatment and high rates of RVP, were included. Altogether 270 patients were investigated, 83 (30.7%) upgraded to CRT-D, 187 (69.3%) to CRT-P in our retrospective registry. The primary endpoint was all-cause mortality, secondary endpoints were malignant VAs and implantation-related complications. Results CRT-D upgrade patients were more likely to be males, have a favourable renal function and lower left ventricular ejection fraction (LVEF). During the median follow-up time of 3.7 years, 25 (30.1%) of CRT-D and 131 (70.1%) of CRT-P upgrade patients reached the primary endpoint. The CRT-D upgrade group showed a lower risk of all-cause mortality in the total cohort (HR: 0.55; 95% CI: 0.38–0.78; p=0.004) and in the ischaemic subgroups compared to CRT-P. After adjustment, CRT-D, ischaemic HF aetiology and LVEF have been confirmed as independent predictors of all-cause mortality. Malignant VA occurrence was higher among CRT-D patients (10.8% vs 1.1%; p=0.001), while no difference was observed in the rate of complications between the two patient groups. However, lead removal was performed more frequently (13.3% vs 1.1%; p Conclusions Patients among the total and ischaemic HF aetiology subgroup benefited more from the CRT-D upgrade, although VAs and lead removal were more common than in the CRT-P group. Funding Acknowledgement Type of funding sources: Public grant(s) – National budget only. Main funding source(s): This work was supported by the ÚNKP-20-3-I-SE-43 New National Excellence Program if the Ministry for Innovation and Technology in Hungary. Project no. NVKP_16-1–2016-0017 (“National Heart Program”) has been implemented with the support provided by the National Research, Development and Innovation Fund of Hungary, financed under the NVKP_16 funding scheme. The research was financed by the Thematic Excellence Programme (2020-4.1.1.-TKP2020) of the Ministry for Innovation and Technology in Hungary, within the framework of the Therapeutic Development and Bioimaging thematic programmes of the Semmelweis University. All-cause mort of pts after UPG

The COVID-19 pandemic had a major impact on the sports community as well. Despite the vast majority of athletes experiencing mild symptoms, potential cardiac involvement and complications have to be explored to support a safe return to play. Accordingly, we were aimed at a comprehensive echocardiographic characterization of post-COVID athletes (P-CA) by comparing them to a propensity-matched healthy, non-COVID athlete (N-CA) cohort. One hundred and seven elite athletes with COVID-19 were prospectively enrolled after an appropriate quarantine period and formed the P-CA group (23±6 years, 23% female). From our retrospective database comprising 425 elite athletes, 107 age-, gender-, body surface area-, and weekly training hours-matched subjects were selected as a reference group using propensity score matching (N-CA group). All athletes underwent a comprehensive clinical investigation protocol comprising 2D and 3D echocardiography. Left (LV) and right ventricular (RV) end-diastolic volumes (EDVi) and ejection fractions (EF) were quantified using dedicated softwares. To characterize LV longitudinal deformation, 2D global longitudinal strain (GLS) and the ratio of free wall versus septal longitudinal strain (FWLS/SLS) were also calculated. In order to describe septal flattening (SF – frequently seen in P-CA), LV eccentricity index (EI) was measured. P-CA and N-CA athletes had comparable LV and RV EDVi (P-CA vs N-CA; 77±12 vs 78±13mL/m2; 79±16 vs 80±14mL/m2, respectively). P-CA group had significantly higher LV EF (58±4 vs 56±4%, p In the SF subgroup, LV EDVi was significantly higher (80±14 vs 75±11 mL/m2, p Elite athletes following COVID-19 showed distinct morphological and functional cardiac changes compared to a propensity score-matched control athlete group. These results are mainly driven by a subgroup, which presented with some echocardiographic features characteristic of constrictive pericarditis (septal flattening, lower FWLS/SLS ratio, pericardial effusion). Follow-up of athletes and further, higher case number studies are warranted to determine the clinical significance and potential effects on exercise capacity of these findings. Funding Acknowledgement Type of funding sources: None. Post-Covid athlete with SF

Background There are limited and contradictory data on the long-term mortality benefit of cardiac resyncronization therapy with implantable cardioverter defibrillator (CRT-D)as compared to Cardiac resynchonization therapy with pacemaker. Purpose Our aim was to evaluate the long-term all-cause mortality benefit of CRT-D compared to CRT-P by ischemic aetiology. Methods Between 2000 and 2018, patients, who underwent successful CRT implantation were registered. From 2524 patients, 1366 (54%) had a CRT-D implantation and 1099 (44%) had CRT-P implantation. 59 (2%) patients were excluded from the current analysis, who had an ICD upgrade with a CRT-P device during the follow-up. The primary composite endpoint was all-cause mortality, LVAD implantation or heart transplantation. Kaplan-Meier and multivariate Cox regression analyses were used to assess all-cause mortality in the total cohort and by ischemic aetiology. Results The median follow-up time was 3.6 years. During this time 1389 patients died from any cause, 692 patients (50%) with a CRT-D device, and 697 patients (50%) with a CRT-P. Patients in the CRT-D group were younger (67 years vs. 70 years; p Conclusions Although, CRT-D had a notable mid-term mortality benefit in ischemic patients compared to CRT-P alone, after 5 years it became less pronounced. While in non-ischemic patients, the benefit of adding an ICD to CRT lasts over 10 years. Funding Acknowledgement Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Project no. NVKP_16-1–2016-0017 (“National Heart Program”) has been implemented with the support provided by the National Research, Development and Innovation Fund of Hungary, financed under the NVKP_16 funding scheme. The research was financed by the Thematic Excellence Programme (2020-4.1.1.-TKP2020) of the Ministry for Innovation and Technology in Hungary, within the framework of the Therapeutic Development and Bioimaging thematic programmes of the Semmelweis University. All-cause mortality

Background: The Olympic preparation of athletes has been highly influenced by COVID and post-COVID syndrome. As the complex screening of athletes is essential for safe and successful sports, we aimed to repeat the 2019-year sports cardiology screening of the Olympic Swim Team before the Olympics and to compare the results of COVID and non-COVID athletes. Methods: Patient history, electrocardiogram, laboratory tests, body composition analysis, echocardiography, cardiopulmonary exercise test (CPET) were performed. We used time-ranking points to compare swimming performance. Results: From April 2019, we examined 46 elite swimmers (24 ± 4 years). Fourteen swimmers had COVID infection, all cases were mild. During CPET there was no difference in the performance of COVID (male: VO2 max 55 ± 4 vs. 56.5 ± 5 mL/kg/min, p = 0.53, female: VO2 max 54.6 ± 4 vs. 56 ± 5.5 mL/kg/min, p = 0.86) vs. non-COVID athletes (male VO2 max 56.7 ± 5 vs. 55.5 ± 4.5 mL/kg/min, p = 0.50, female 49.6 ± 3 vs. 50.7 ± 2.6 mL/kg/min, p = 0.47) between 2019 and 2021. When comparing the time results of the National Championships, 54.8% of the athletes showed an improvement (p = 0.75). Conclusions: COVID infection with short-term detraining did not affect the performance of well-trained swimmers. According to our results, the COVID pandemic did not impair the effectiveness of the preparation for the Tokyo Olympics.

Background and Objectives: No data are available on whether the heritability of left ventricle (LV) systolic and diastolic parameters are independent of each other. Therefore, our aim was to assess the magnitude of common and independent genetic and environmental factors defining LV systolic and diastolic function. Materials and Methods: We analyzed 184 asymptomatic twins (65% female, mean age: 56 ± 9 years). Transthoracic echocardiography was performed to measure LV systolic (global longitudinal and circumferential strain, basal and apical rotation) and diastolic (early diastolic velocity of mitral inflow and lateral mitral annulus tissue, deceleration time and early diastolic strain rate) parameters using conventional and speckle-tracking echocardiography. Genetic structural equation models were evaluated to quantify the proportion of common and specific genetic (Ac, As) and environmental factors (Ec, Es) contributing to the phenotypes. Results: LV systolic parameters had no common genetic or environmental heritability (Ac range: 0–0%, Ec range: 0–0%, As range: 57–77%, Es range: 24–43%). Diastolic LV parameters were mainly determined by common genetic and environmental effects (Ac range: 9–40%, Ec range: 11–49%, As range: 0–29%, Es range: 0–51%). Systolic parameters had no common genetic or environmental factors (Ac = 0%, Ec = 0%) with diastolic metrics. Conclusions: Systolic LV parameters have a strong genetic predisposition to any impact. They share no common genetic or environmental factors with each other or with diastolic parameters, indicating that they may deteriorate specifically to given effects. However, diastolic functional parameters are mainly affected by common environmental influences, suggesting that pathological conditions may deteriorate them equally. Estimation of the genetic and environmental influence and interdependence on systolic and diastolic LV function may help the understanding of the pathomechanism of different heart failure classification types.

Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): This work was supported by the ÚNKP-20-3-I New National Excellence Program if the Ministry for Innovation and Technology in Hungary, the National Research, Development, and Innovation Office of Hungary (NKFIA; NVKP_16-1-2016-0017 National Heart Program), and the Higher Education Institutional Excellence Program of the Ministry for Innovation and Technology in Hungary, within the framework of the Therapeutic Development thematic program of the Semmelweis University. This work was also supported by the Artificial Intelligence Research Filed Excellence Program of the National Research, Development and Innovation Office of the Ministry of Innovation and Technology in Hungary (TKP/ITM/NKFIH). The research was also financed by the Thematic Excellence Program (Tématerületi Kiválósági Program, 2020-4.1.1-TKP2020) of the Ministry for Innovation and Technology in Hungary, within the framework of the Bioimaging thematic program of the Semmelweis University. Background Cardiac Resynchronization Therapy (CRT) upgrade can reverse pacing-induced cardiomyopathy (PiCMP) and related major ventricular arrhythmias (MVA). However, there is a lack of data comparing mortality benefit of adding an ICD to CRT during upgrade procedures in those without prior malignant ventricular arrhythmias (VAs). Purpose We aimed to compare the all-cause mortality, echocardiographic response, MVA occurrence and the rate of complications of patients with prior pacemakers (PM) upgraded to CRT-P or CRT-D devices. Methods Between 2000-2018 patients who underwent a successful CRT upgrade procedure from conventional pacemaker without a prior MVAs were collected. From 270 patients 83 (30.7%) upgraded to CRT-D, 187 (69.3%) to CRT-P device. The primary endpoint was all-cause mortality, secondary endpoints were echocardiographic response defined as left ventricular ejection fraction (LVEF) increase ≥5%, the occurrence of subsequent MVAs and the rate of periprocedural complications. Results CRT-D upgrade patients were more likely to be males, have a favourable renal function and lower LVEF compared to CRT-P group. During the median follow-up time of 3.7 years, 25 (30%) CRT-D and 131 (70%) CRT-P upgrade patients reached the primary endpoint. By univariate analysis, CRT-D upgrade patients showed 45% (HR 0.55; 95%CI 0.38-0.78; p Conclusions Adding an ICD during CRT upgrade procedures showed 45% lower all-cause mortality risk than CRT-P alone in patients with a pacemaker and no previous ventricular arrhythmias. This beneficial effect was independent of the echocardiographic response, safety or subsequent ventricular arrhythmias. Abstract Figure.