Combined Cardiac Damage Staging by Echocardiography and Cardiac Catheterization in Patients With Clinically Significant Aortic Stenosis.

BACKGROUND: Cardiac damage (CD) staging enhances risk stratification in patients with clinically significant aortic stenosis (AS). We aimed to assess the prognostic value and reclassification rate of right heart catheterization (RHC) compared with transthoracic echocardiography (TTE) in characterising CD staging at 3-year follow-up in patients with clinically significant AS, to identify patients that would benefit from RHC for prognostic stratification, and to test the prognostic value of combined CD staging. METHODS: An observational cohort study of 432 AS patients undergoing TTE and RHC were divided into moderate or asymptomatic severe (m/asAS) and symptomatic severe (ssAS) AS. Kaplan-Meier curves were used to compare survival. The accuracy in prognostic stratification was tested by area under the receiver operating characteristic curve analysis and Delong test. RESULTS: In both cohorts, TTE- and RHC-derived staging systems had prognostic value, although the agreement between them appeared moderate. A higher proportion of patients were assigned to stage 2 by TTE than by RHC. Patients in TTE-derived stage 2 had a high reclassification rate, with 40%-50% presenting with right chamber involvement (stages 3-4) according to RHC. Discordant cases were significantly older, with higher prevalence of atrial fibrillation, markedly elevated N-terminal pro-B-type natriuretic peptide, and higher indexed left atrial volume, E/e', and systolic pulmonary artery pressure vs concordant cases (P < 0.05). The combined CD staging, integrating TTE and RHC, was more accurate in predicting mortality than the TTE-derived system (P < 0.05). CONCLUSIONS: In patients with m/asAS and ssAS, the combined CD staging, derived from TTE and RHC, was more accurate in predicting mortality than TTE alone. In a subset of AS patients, the integration of RHC may significantly improve prognostic stratification.

Validation of an automated artificial intelligence system for 12­lead ECG interpretation.

BACKGROUND: The electrocardiogram (ECG) is one of the most accessible and comprehensive diagnostic tools used to assess cardiac patients at the first point of contact. Despite advances in computerized interpretation of the electrocardiogram (CIE), its accuracy remains inferior to physicians. This study evaluated the diagnostic performance of an artificial intelligence (AI)-powered ECG system and compared its performance to current state-of-the-art CIE. METHODS: An AI-powered system consisting of 6 deep neural networks (DNN) was trained on standard 12­lead ECGs to detect 20 essential diagnostic patterns (grouped into 6 categories: rhythm, acute coronary syndrome (ACS), conduction abnormalities, ectopy, chamber enlargement and axis). An independent test set of ECGs with diagnostic consensus of two expert cardiologists was used as a reference standard. AI system performance was compared to current state-of-the-art CIE. The key metrics used to compare performances were sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and F1 score. RESULTS: A total of 932,711 standard 12­lead ECGs from 173,949 patients were used for AI system development. The independent test set pooled 11,932 annotated ECG labels. In all 6 diagnostic categories, the DNNs achieved high F1 scores: Rhythm 0.957, ACS 0.925, Conduction abnormalities 0.893, Ectopy 0.966, Chamber enlargement 0.972, and Axis 0.897. The diagnostic performance of DNNs surpassed state-of-the-art CIE for the 13 out of 20 essential diagnostic patterns and was non-inferior for the remaining individual diagnoses. CONCLUSIONS: Our results demonstrate the AI-powered ECG model's ability to accurately identify electrocardiographic abnormalities from the 12­lead ECG, highlighting its potential as a clinical tool for healthcare professionals.

Association of Mild-to-Moderate Aortic Regurgitation With Outcomes in Heart Failure With Preserved Ejection Fraction.

OBJECTIVE: To assess aortic regurgitation (AR) prevalence, its hemodynamic effect, and long-term prognostic implications in patients admitted with de novo or worsened heart failure with preserved ejection fraction (HFpEF). METHODS: Consecutive patients hospitalized with de novo or worsened HFpEF between 2014 and 2020 were enrolled. Patients with more than moderate aortic and/or mitral valve disease were excluded. Based on the presence and degree of AR, patients were divided into those without AR, those with mild, and those with moderate AR. Data on cardiovascular death, heart failure (HF) rehospitalization, and their composite (major adverse cardiovascular events) were collected. RESULTS: The final study population consisted of 458 HFpEF patients: 156 (34.1%) with mild-AR, 153 (33.4%) with moderate-AR, and the remaining 149 (32.5%) with no AR. Mild-to-moderate AR patients were older, with larger left atrium-left ventricle (LV) volumes, greater LV mass index, higher filling pressure, and prevalence of diastolic dysfunction compared with the no-AR group (all P<.05). During 5-year follow-up, 113 patients died of cardiovascular causes, 124 patients were rehospitalized for HF, whereas 196 experienced the composite endpoint. Mild-to-moderate AR was identified as an independent predictor of all-cause death (HR, 1.62; 95% CI, 1.14 to 1.58; P=.04) and major adverse cardiovascular event occurrence (HR, 1.48; 95% CI, 1.05 to 2.09; P=.02). A total of 126 (35.5%) of 355 patients showed progression of AR at follow-up echocardiography. CONCLUSION: Mild-to-moderate AR is common among patients hospitalized for HFpEF. It is associated with adverse LV remodeling and worse long-term outcomes. These findings warrant further prospective studies addressing the importance of AR in prognostic stratification and exploring therapeutic strategies to mitigate its hemodynamic effect on HF.

Detection of transthyretin amyloid cardiomyopathy by automated data extraction from electronic health records.

AIMS: Transthyretin amyloid cardiomyopathy (ATTR-CM), a progressive and fatal cardiomyopathy, is frequently misdiagnosed or entails diagnostic delays, hindering patients from timely treatment. This study aimed to generate a systematic framework based on data from electronic health records (EHRs) to assess patients with ATTR-CM in a real-world population of heart failure (HF) patients. Predictive factors or combinations of predictive factors related to ATTR-CM in a European population were also assessed. METHODS AND RESULTS: Retrospective unstructured and semi-structured data from EHRs of patients from OLV Hospital Aalst, Belgium (2012-20), were processed using natural language processing (NLP) to generate an Observational Medical Outcomes Partnership Common Data Model database. NLP model performance was assessed on a random subset of EHRs by comparing algorithm outputs to a physician-generated standard (using precision, recall, and their harmonic mean, or F1-score). Of the 3127 HF patients, 103 potentially had ATTR-CM (age 78 ± 9 years; male 55%; ejection fraction of 48% ± 16). The mean diagnostic delay between HF and ATTR-CM diagnosis was 1.8 years. Besides HF and cardiomyopathy-related phenotypes, the strongest cardiac predictor was atrial fibrillation (AF; 72% in ATTR-CM vs. 60% in non-ATTR-CM, P = 0.02), whereas the strongest non-cardiac predictor was carpal tunnel syndrome (21% in ATTR-CM vs. 3% in non-ATTR-CM, P < 0.001). The strongest combination predictor was AF, joint disorders, and HF with preserved ejection fraction (29% in ATTR-CM vs. 18% in non-ATTR-CM: odds ratio = 2.03, 95% confidence interval = 1.28-3.22). CONCLUSIONS: Not only well-known variables associated with ATTR-CM but also unique combinations of cardiac and non-cardiac phenotypes are able to predict ATTR-CM in a real-world HF population, aiding in early identification of ATTR-CM patients.

Fewer Worsening Heart Failure Events With HeartLogic on top of Standard Care: a Propensity-Matched Cohort Analysis.

BACKGROUND: The implantable cardiac defibrillator-based HeartLogic algorithm aims to detect impending fluid retention in patients with heart failure (HF). Studies show that HeartLogic is safe to integrate into clinical practice. The current study investigates whether HeartLogic provides clinical benefit on top of standard care and device telemonitoring in patients with HF. METHODS: A multicenter, retrospective, propensity-matched cohort analysis was performed in patients with HF and implantable cardiac defibrillators, and it compared HeartLogic to conventional telemonitoring. The primary endpoint was the number of worsening HF events. Hospitalizations and ambulatory visits due to HF were also evaluated. RESULTS: Propensity score matching yielded 127 pairs (median age 68 years, 80% male). Worsening HF events occurred more frequently in the control group (2; IQR 0-4) compared to the HeartLogic group (1; IQR 0-3; P = 0.004). The number of HF hospitalization days was higher in controls than in the HeartLogic group (8; IQR 5-12 vs 5; IQR 2-7; P = 0.023), and ambulatory visits for diuretic escalation were more frequent in the control group than in the HeartLogic group (2; IQR 0-3 vs 1; IQR 0-2; P = 0.0001). CONCLUSION: Integrating the HeartLogic algorithm in a well-equipped HF care path on top of standard care is associated with fewer worsening HF events and shorter duration of fluid retention-related hospitalizations.

Cardio-renal-metabolic syndrome: clinical features and dapagliflozin eligibility in a real-world heart failure cohort.

AIMS: The Cardiovascular Outcomes Retrospective Data analysIS in Heart Failure (CORDIS-HF) is a single-centre retrospective study aimed to (i) clinically characterize a real-world population with heart failure (HF) with reduced (HFrEF) and mildly reduced ejection fraction (HFmrEF), (ii) evaluate impact of renal-metabolic comorbidities on all-cause mortality and HF readmissions, and (iii) determine patients' eligibility for sodium-glucose cotransporter 2 inhibitors (SGLT2is). METHODS AND RESULTS: Using a natural language processing algorithm, clinical data of patients diagnosed with HFrEF or HFmrEF were retrospectively collected from 2014 to 2018. Mortality and HF readmission events were collected during subsequent 1 and 2 year follow-up periods. The predictive role of patients' baseline characteristics for outcomes of interest was assessed using univariate and multivariate Cox proportional hazard models. Kaplan-Meier analysis was used to determine if type 2 diabetes (T2D) and chronic kidney disease (CKD) impacted mortality and HF readmission rates. The European SGLT2i label criteria were used to assess patients' eligibility. The CORDIS-HF included 1333 HF patients with left ventricular ejection fraction (LVEF) < 50% (413 HFmrEF and 920 HFrEF), who were predominantly male (69%) with a mean [standard deviation (SD)] age of 74.7 (12.3) years. About one-half (57%) of patients presented CKD and 37% T2D. The use of guideline-directed medical therapy (GDMT) was high (76-90%). HFrEF patients presented lower age [mean (SD): 73.8 (12.4) vs. 76.7 (11.6) years, P < 0.05], higher incidence of coronary artery disease (67% vs. 59%, P < 0.05), lower systolic blood pressure [mean (SD): 123 (22.6) vs. 133 (24.0) mmHg, P < 0.05], higher N-terminal pro-hormone brain natriuretic peptide (2720 vs. 1920 pg/mL, P < 0.05), and lower estimated glomerular filtration rate [mean (SD): 51.4 (23.3) vs. 54.1 (22.3) mL/min/1.73 m2 , P < 0.05] than those with HFmrEF. No differences in T2D and CKD were detected. Despite optimal treatment, event rates for the composite endpoint of HF readmission and mortality were 13.7 and 8.4/100 patient years. The presence of T2D and CKD negatively impacted all-cause mortality [T2D: hazard ratio (HR) = 1.49, P < 0.01; CKD: HR = 2.05, P < 0.001] and hospital readmission events in all patients with HF. Eligibility for SGLT2is dapagliflozin and empagliflozin was 86.5% (n = 1153) and 97.9% (n = 1305) of the study population, respectively. CONCLUSIONS: This study identified high residual risk for all-cause mortality and hospital readmission in real-world HF patients with LVEF < 50% despite GDMT. T2D and CKD aggravated the risk for these endpoints, indicating the intertwinement of HF with CKD and T2D. SGLT2i treatment that clinically benefits these different disease conditions can be an important driver to lower mortality and hospitalizations in this HF population.

Same Day Discharge Strategy by Default in a Tertiary Catheterization Laboratory in Belgium: Value Based Healthcare-Change in Practice.

AIMS: To assess the effects on outcomes and hospital revenues (societal cost) of a by default strategy of same day discharge (SDD) in patients undergoing a cardiac catheterization procedure in a Belgian Hospital. METHODS AND RESULTS: Outcome and complete financial data were obtained in all consecutive patients with a cardiac catheterization performed in 2019 (n=5237) and in 2021 (n=5377). Patient-reported experience, patient satisfaction and Net promotor score were obtained prospectively for the SDD cohort in 2021. The proportion of patients receiving catheterization procedure in SDD increased from 28 to 44 % (p<0.001). This translates to the saving of 889 conventional hospitalizations in 2021. All-cause death and readmission rate remained unchanged (0,17% vs 0,15% (p=0,004); and 0,7% vs 1,8% (p>0,05)) in 2019 and 2021, respectively. Patients satisfaction top box score was 91% and the Net Promotor Score was 89,5. The by default SDD strategy was associated with reduction in in-hospital health care spending, on average 3206€ per procedure is saved. This means a 57% decrease in hospital revenues and translates into an important decrease in physician income. CONCLUSION: Implementing a by default SDD cardiac catheterization strategy results in a reduction of societal cost, excellent patient satisfaction and unchanged clinical outcome. Yet, in the given context this approach negatively impacts hospital and physician revenues precluding the sustainability of such protocol.

Serial Non-Invasive Myocardial Work Measurements for Patient Risk Stratification and Early Detection of Cancer Therapeutics-Related Cardiac Dysfunction in Breast Cancer Patients: A Single-Centre Observational Study.

Serial transthoracic echocardiographic (TTE) assessment of LVEF and GLS are the gold standard in screening Cancer Therapeutics-Related Cardiac Dysfunction (CTRCD). Non-invasive left-ventricle (LV) pressure-strain loop (PSL) emerged as a novel method to quantify Myocardial Work (MW). This study aims to describe the temporal changes and longitudinal trajectories of MW indices during cardiotoxic treatment. We included 50 breast cancer patients with normal LV function referred for anthracycline therapy w/wo Trastuzumab. Medical therapy, clinical and echocardiographic data were recorded before and 3, 6, and 12 months after initiation of the chemotherapy. MW indices were calculated through PSL analysis. According to ESC guidelines, mild and moderated CTRCD was detected in 10 and 9 patients, respectively (20% CTRCDmild, 18% CTRCDmod), while 31 patients remained free of CTRCD (62% CTRCDneg). Prior to chemotherapy MWI, MWE and CW were significantly lower in CTRCDmod than in CTRCDneg and CTRCDmild. Overt cardiac dysfunction in CTRCDmod at 6 months was accompanied by significant worse values in MWI, MWE and WW compared to CTRCDneg and CTRCDmild. MW features such as low baseline CW, especially when associated with a rise in WW at follow-up, may identify patients at risk for CTRCD. Additional studies are needed to explore the role of MW in CRTCD.

Outcomes in patients with moderate and asymptomatic severe aortic stenosis followed up in heart valve clinics.

BACKGROUND: Heart valve clinics (HVC) have been introduced to manage patients with valvular heart disease within a multidisciplinary team. OBJECTIVE: To determine the outcome benefit of HVC approach compared with standard of care (SOC) for patients with moderate and asymptomatic severe aortic stenosis (mAS and asAS). METHODS: Single-centre, observational registry of patients with mAS and asAS with at least one cardiac ambulatory consultation at our Cardiovascular Centre. Based on the outpatient strategy, patients were divided into HVC group, if receiving at least one visit at HVC, and SOC group, if followed by routine cardiac consultations. RESULTS: 2129 patients with mAS and asAS were divided into those followed in HVC (n=251) versus SOC group (n=1878). The mean age was 76.5±12.4 years; 919 (43.2%) had asAS. During a follow-up of 4.8±1.8 years, 822 patients (38.6%) died, 307 (14.4%) were hospitalised for heart failure and 596 (28%) underwent aortic valve replacement (AVR). After propensity score matching, the number of consultations per year, exercise stress tests, brain natriuretic peptide (BNP) determinations and CTs were higher in the HVC cohort (p<0.05 for all). A shorter time between indication of AVR and less advanced New York Heart Association class was reported in the HVC cohort (p<0.001 and p=0.032). Compared with SOC, the HVC approach was associated with reduced all-cause mortality (HR=0.63, 95% CI 0.40 to 0.98, p=0.038) and cardiovascular death (p=0.030). At multivariable analysis, the HVC remained an independent predictor of all-cause mortality (HR=0.54, 95% CI 0.34 to 0.85, p=0.007). CONCLUSIONS: In patients with mAS and asAS, the HVC approach was associated with more efficient management and outcome benefit compared with SOC.

Utilizing longitudinal data in assessing all-cause mortality in patients hospitalized with heart failure.

AIMS: Risk stratification in patients with a new onset or worsened heart failure (HF) is essential for clinical decision making. We have utilized a novel approach to enrich patient level prognostication using longitudinally gathered data to develop ML-based algorithms predicting all-cause 30, 90, 180, 360, and 720 day mortality. METHODS AND RESULTS: In a cohort of 2449 HF patients hospitalized between 1 January 2011 and 31 December 2017, we utilized 422 parameters derived from 151 451 patient exams. They included clinical phenotyping, ECG, laboratory, echocardiography, catheterization data or percutaneous and surgical interventions reflecting the standard of care as captured in individual electronic records. The development of predictive models consisted of 101 iterations of repeated random subsampling splits into balanced training and validation sets. ML models yielded area under the receiver operating characteristic curve (AUC-ROC) performance ranging from 0.83 to 0.89 on the outcome-balanced validation set in predicting all-cause mortality at aforementioned time-limits. The 1 year mortality prediction model recorded an AUC of 0.85. We observed stable model performance across all HF phenotypes: HFpEF 0.83 AUC, HFmrEF 0.85 AUC, and HFrEF 0.86 AUC, respectively. Model performance improved when utilizing data from more hospital contacts compared with only data collected at baseline. CONCLUSIONS: Our findings present a novel, patient-level, comprehensive ML-based algorithm for predicting all-cause mortality in new or worsened heart failure. Its robust performance across phenotypes throughout the longitudinal patient follow-up suggests its potential in point-of-care clinical risk stratification.

Global longitudinal strain and outcome after endoscopic mitral valve repair.

AIMS: Identification of heart failure (HF) patients with secondary mitral regurgitation (SMR) that benefit from mitral valve (MV) repair remains challenging. We have focused on the role of left ventricular global longitudinal strain (LV-GLS) and reservoir left atrial longitudinal strain (LASr) for the prediction of long-term survival and reverse remodelling in patients with SMR undergoing endoscopic MV repair. METHODS AND RESULTS: The study population consisted of 110 patients (age 67 ± 11 years, 66% men) with symptomatic SMR undergoing isolated MV repair using a minimally invasive surgical approach. Speckle tracking-derived LV-GLS and LASr were assessed in apical views using vendor-independent software. Over a median of 7.7 years (IQRs 2.9-11.2), 64 patients (58%) died. Significant reverse LV (↓ LVESVI >10 mL/m2 ), LA (↓ LAVI >10 mL/m2 ) remodelling or both were observed in 43 (39%), 37 (34%) and 19 (17%) patients, respectively. LV-GLS (HR 0.68, 95% CI 0.58-0.79, P < 0.001) and LASr (HR 0.93, 95% CI 0.88-0.97, P < 0.01) but not LV ejection fraction (LVEF) and LA volume index (LAVi) emerged as independent predictors of all-cause mortality in Cox regression analysis. LV-GLS was the only independent predictor of LV reverse remodelling (OR 1.24, 95% CI 1.05-1.43, P < 0.001) whereas LAVi and LASr were both independent predictors of LA reverse remodelling (both P < 0.05). In patients with atrial fibrillation at baseline, only LASr was an independent predictor (P < 0.05) of LA reverse remodelling. CONCLUSIONS: In patients with SMR undergoing endoscopic MV repair, LV-GLS and LASr are independently associated with long-term survival and reverse remodelling and may be helpful in selecting SMR patients who may benefit from this procedure.

Performance of non-invasive myocardial work to predict the first hospitalization for de novo heart failure with preserved ejection fraction.

AIMS: Non-invasive myocardial work (MW) is a validated index of left ventricular (LV) systolic performance, incorporating afterload and myocardial metabolism. The role of MW in predicting the first hospitalization for de novo heart failure with preserved ejection fraction (HFpEF) is still unknown. We aim to investigate the diagnostic performance of MW to predict the first de novo HFpEF hospitalization in ambulatory individuals with preserved LV ejection fraction. METHODS AND RESULTS: Twenty-nine patients with transthoracic echocardiography performed at least 6 months before the first HFpEF hospitalization were compared with 29 matched controls. MW was derived as the area of pressure-strain loop using speckle-tracking and brachial artery blood pressure. Global work index, global constructive work, global wasted work (GWW), and global work efficiency (GWE) were collected. First HFpEF hospitalization and its combination with cardiovascular death [major adverse cardiovascular events (MACE)] and all-cause of death [major adverse events (MAE)] were assessed. At baseline, future HFpEF patients showed lower global work index, global constructive work, GWE, and higher GWW than controls (all P < 0.05). At admission vs. baseline, GWE significantly decreased, and GWW increased in the HFpEF group (P < 0.05), whereas no significant difference was observed in the controls over time. GWW, with a cut-off of 170 mmHg%, showed the largest area under the curve (AUC) to predict first HFpEF hospitalization [AUC = 0.80, 95% confidence interval (CI) 0.69-0.91, P < 0.001], MACE (AUC = 0.80, 95% CI 0.66-0.90, P < 0.001), and MAE (AUC = 0.79, 95% CI 0.62-0.88, P = 0.001). GWW > 170 mmHg% was associated with a 4-fold increase of MACE (HR = 4.5, 95% CI 1.59-13.12, P = 0.005) and a 3-fold higher risk of MAE (HR = 2.9, 95% CI 1.24-6.6, P = 0.014). CONCLUSIONS: In ambulatory patients with preserved LV ejection fraction and risk factors, GWW showed high accuracy to predict the first HFpEF hospitalization and its combination with mortality. The GWW routine assessment may be clinically helpful in patients with dyspnoea.

Circulating SERPINA3 improves prognostic stratification in patients with a de novo or worsened heart failure.

AIMS: We investigated the prognostic relevance of serpin peptidase inhibitor, clade A member 3 (SERPINA3) in patients admitted with a de novo or worsened heart failure (HF). METHODS AND RESULTS: In the first stage, 83 HF-related left ventricular (LV) transcripts were examined in patients with congestive cardiomyopathy (CCMP, n = 44) who died within 5 years and compared with age-matched and haemodynamically matched CCMP survivors (n = 39) and controls with normal LV function (n = 17). Among 14 differentially expressed transcripts, myocardial gene and circulating SERPINA3 levels were up-regulated in non-survivors vs. survivors (2.40 ± 3.66 vs. 0.36 ± 0.22 units, P < 0.01 and 334.7 ± 138.7 vs. 228.2 ± 83.1 µg/mL, P < 0.01, respectively). While no significant transmyocardial gradient was detected, cytokine stimulation of human endothelial cells induced SERPINA3 secretion. In an independent validation cohort with a de novo or worsened HF (n = 387), circulating SERPINA3 levels > 316 µg/mL were associated with increased all-cause mortality {hazard ratio [HR] [95% confidence interval (CI)]: 2.4 [1.5-3.9], P = 0.0002} and its composite with unplanned cardiovascular readmission [HR (95% CI): 2.0 (1.2-3.3), P = 0.004]. Patients with elevated SERPINA3 levels and elevated either N-terminal pro brain natriuretic peptide or ST2 showed worse freedom from both endpoints. In a multivariate analysis, including established clinical risk factors, SERPINA3 remained independent predictor of all-cause mortality together with age, gender, ST2, glomerular filtration, and pulmonary capillary wedge pressure. CONCLUSION: In patients with a de novo or worsened HF, increased SERPINA3 levels > 316 µg/mL are associated with increased mortality or unplanned cardiac readmission. Elevated SERPINA3 levels on top of established clinical predictors appear to identify a subgroup of HF patients at higher mortality risk. Prospective studies should further validate its value in prognostic stratification of HF.

Importance of In-Hospital Prospective Registry and Infectious Endocarditis Heart Team to Monitor and Improve Quality of Care in Patients with Infectious Endocarditis.

AIM: To investigate the value of prospective in-hospital registry data and the impact of an infectious endocarditis heart team approach (IEHT) on improvement in quality of care and monitor outcomes in hospitalized patients with IE. METHODS: Between December 2014 and the end of 2019, 160 patients were hospitalized in one centre with the definite diagnosis of infectious endocarditis (IE) and entered in a prospective registry. From 2017, an IEHT was introduced. Propensity score matching was used to assess the impact of an IEHT approach on clinical outcomes. RESULTS: Median age was 72.5 y (62.75-80.00), diabetes was present in 33.1%, chronic kidney disease in 27.5%, COPD in 17.5%, and a history of ischaemic heart disease in 30.6%. Prosthetic valve IE was observed in 43.8% and device-related IE in 16.9% of patients. Staphylococcus (37.5%) was the most frequent pathogen followed by streptococcus (24.4%) and enterococcus (23.1%). Overall, 30-day and 1-year mortality were 19.4% and 37.5%, respectively. The introduction of prospective data collection and IE heart team was associated with a trend towards reduction of adjusted 1-year mortality (26.5% IEHT vs. 41.2% controls, p = 0.0699). An IEHT clinical decision-making approach was independently associated with a shorter length of stay (p = 0.04). CONCLUSIONS: Use of a prospective registry of IE coupled with a heart team approach was associated with more efficient patient management and a trend towards lower mortality. Prospective data collection and dedicated IEHT have the potential to improve patient care and clinical outcomes.

Clinical and economic impact of HeartLogic™ compared with standard care in heart failure patients.

AIMS: The implantable cardiac defibrillator/cardiac resynchronization therapy with defibrillator-based HeartLogic™ algorithm has recently been developed for early detection of impending decompensation in heart failure (HF) patients; but whether this novel algorithm can reduce HF hospitalizations has not been evaluated. We investigated if activation of the HeartLogic algorithm reduces the number of hospital admissions for decompensated HF in a 1 year post-activation period as compared with a 1 year pre-activation period. METHODS AND RESULTS: Heart failure patients with an implantable cardiac defibrillator/cardiac resynchronization therapy with defibrillator with the ability to activate HeartLogic and willingness to have remote device monitoring were included in this multicentre non-blinded single-arm trial with historical comparison. After a HeartLogic alert, the presence of HF symptoms and signs was evaluated. If there were two or more symptoms and signs apart from the HeartLogic alert, lifestyle advices were given and/or medication was adjusted. After activation of the algorithm, patients were followed for 1 year. HF events occurring in the 1 year prior to activation and in the 1 year after activation were compared. Of the 74 eligible patients (67.2 ± 10.3 years, 84% male), 68 patients completed the 1 year follow-up period. The total number of HF hospitalizations reduced from 27 in the pre-activation period to 7 in the post-activation period (P = 0.003). The number of patients hospitalized for HF declined from 21 to 7 (P = 0.005), and the hospitalization length of stay diminished from average 16 to 7 days (P = 0.079). Subgroup analysis showed similar results (P = 0.888) for patients receiving cardiac resynchronization therapy during the pre-activation period or not receiving cardiac resynchronization therapy, meaning that the effect of hospitalizations cannot solely be attributed to reverse remodelling. Subanalysis of a single-centre Belgian subpopulation showed important reductions in overall health economic costs (P = 0.025). CONCLUSION: Activation of the HeartLogic algorithm enables remote monitoring of HF patients, coincides with a significant reduction in hospitalizations for decompensated HF, and results in health economic benefits.

Mitral Valve Repair of Atrial Functional Mitral Regurgitation in Heart Failure with Preserved Ejection Fraction.

Our objective was to describe the long-term effects of endoscopic mitral valve (MV) repair on outcome in patients with heart failure with preserved ejection fraction (HFpEF) and atrial functional mitral regurgitation (AFMR). In patients with HFpEF, even mild AFMR has been associated with poor outcome. The study population consisted of consecutive patients with HFpEF (left ventricular ejection fraction (LVEF) ≥ 50%, H2FPEF score ≥ 5) and AFMR, who underwent isolated, minimally invasive endoscopic MV repair (MVRepair group) (n = 131) or remained on standard of care (StanCare group) (n = 139). Patients with coronary artery disease or organic mitral regurgitation (MR) were excluded. Patients were matched using inverse probability of treatment weighting. Endpoints were all-cause mortality and a composite of all-cause mortality and HFpEF readmissions. The median follow-up was 5.03 years (interquartile range (IQR) 2.6-7.9 years). In the MVRepair group, the perioperative, 30-day, 1-year, and 5-year mortality were 0, 1%, 1%, and 12%, respectively. Additionally, 13 (10%) patients were readmitted for worsening HFpEF, while 2 (1%) individuals underwent redo MV surgery for recurrent MR. MVRepair compared with StanCare showed 21-29% (Standard Error (SE) 6-8%) and 19-26% (SE 6-8%) absolute risk reduction of all-cause mortality and HFpEF readmissions, respectively (all p < 0.05). MVRepair emerged as the strongest independent predictor of all-cause mortality (Hazard Ratio (HR) 0.16, 95% (Confidence Interval (CI) 0.07-0.34, p < 0.001) and HFpEF readmissions (HR 0.21, 95% CI 0.09-0.51, p < 0.001). At 5-year follow-up, in the MVRepair group, a total of 88% were alive and 80% were alive without readmission for HFpEF. We can conclude that endoscopic MV repair is associated with low perioperative mortality as well as high long-term efficacy, and appears to improve clinical outcome in patients with AFMR and HFpEF.