Search

BackgroundCirculating Neprilysin (sNEP) has emerged as a potential prognostic biomarker in heart failure (HF). In PARAGON-HF benefit of sacubitril/valsartan was only observed in patients with left ventricular ejection fraction (LVEF) ≤57%. We aimed to assess the prognostic value of sNEP in outpatients with HF and LVEF >57%, in comparison with patients with LVEF ≤57%.MethodsConsecutive HF outpatients were included from May-2006 to February-2016. The primary endpoint was the composite of all-cause death or HF hospitalization and the main secondary endpoint was the composite of cardiovascular death or HF hospitalization. For the later competing risk methods were used.ResultssNEP was measured in 1428 patients (age 67.7±12.7, 70.3% men, LVEF 35.8% ±14), 144 of which had a LVEF >57%. sNEP levels did not significantly differ between LVEF groups (p = 0.31). During a mean follow-up of 6±3.9 years, the primary endpoint occurred in 979 patients and the secondary composite endpoint in 714 (in 111 and 84 of the 144 patients with LVEF >57%, respectively). sNEP was significantly associated with both composite endpoints. Age- and sex- adjusted Cox regression analyses showed higher hazard ratios for sNEP in patients with LVEF >57%, both for the primary (HR 1.37 [1.16–1.61] vs. 1.04 [0.97–1.11]) and the secondary (HR 1.38 [1.21–1.55] vs. 1.11 [1.04–1.18]) composite endpoints.ConclusionssNEP prognostic value in patients with HF and LVEF >57% outperforms that observed in patients with lower LVEF. Precision medicine using sNEP may identify HF patients with preserved LVEF that may benefit from treatment with sacubitril/valsartan.

Evidence regarding any association of HDL-particle (HDL-P) derangements and HDL-cholesterol content with cardiovascular (CV) death in chronic heart failure (HF) is lacking. To investigate the prognostic value of HDL-P size (HDL-Sz) and the number of cholesterol molecules per HDL-P for CV death in HF patients. Outpatient chronic HF patients were enrolled. Baseline HDL-P number, subfractions and HDL-Sz were measured using 1H-NMR spectroscopy. The HDL-C/P ratio was calculated as HDL-cholesterol over HDL-P. Endpoint was CV death, with non-CV death as the competing event. 422 patients were included and followed-up during a median of 4.1 (0–8) years. CV death occurred in 120 (30.5%) patients. Mean HDL-Sz was higher in CV dead as compared with survivors (8.39 nm vs. 8.31 nm, p

To assess mortality trends at 1 and 3 years from 2001 to 2018 in a real-life cohort of HF outpatients from different etiologies with depressed and preserved LVEF. A total of 2368 consecutive patients with HF (mean age 66.4 ± 12.9 years, 71% men, 15.4% with preserved LVEF) admitted to a HF clinic from August 2001 to September 2018 were included in the study. Patients were divided into five quintiles (Q) according to the period of admission. Trends for all-cause and cardiovascular mortality from Q1 to Q5 were assessed by linear regression. Patients with LVEF

Background N-acetylglucosamine/galactosamine (GlycA) and sialic acid (GlycB) constitute evolving nuclear magnetic resonance (NMR) biomarkers of systemic inflammation. They have been increasingly studied and associated with cardiovascular (CV) disease and incident heart failure (HF), but little is known about its value in chronic HF population. Purpose We aimed to examine the association on long-term CV outcomes of GlycA and GlycB in chronic HF relative to aetiology. Methods We prospectively included a cohort of 429 HF patients admitted to an ambulatory HF Unit. Plasma GlycA and GlycB concentrations were determined using NMR spectroscopy. The primary endpoint was a composite of CV death and readmission due to HF. Competing risk regression models were performed with non-CV death as the competing event. Because an interaction existed between GlycA and GlycB with ischemic etiology (p Results The mean (SD) follow-up was 4.5±2.9 years. Median concentrations (IQR) for GlycA and GlycB were 5.4 (4.9–6.2) mmol/L and 1.9 (1.7–2.2) mmol/L, respectively. A total of 92 (41.1%) and 123 (60.0%) patients from non-ischemic and ischemic etiology, respectively, the clinical endpoint. In ischaemic HF patients (47.8%; n=205) both markers were not associated with the primary endpoint. Conversely, in non-ischemic HF patients (52.2%; n=224), GlycA and GlycB exhibited association with the primary endpoint in univariable and after multivariable adjustment (HR 1.14; 95% confidence interval [CI]: 1.02–1.28, p=0.018 and HR 1.91; 95% CI: 1.27–2.88, p=0.002; respectively. Figure 1 and 2). In this subgroup, a correlation analysis with well-known biomarkers (NT-proBNP, hs-TnT and ST2) only evidenced a positively and significantly correlation of GlycB with ST2 (r=0.26, p Conclusions GlycA and GlycB represent an evolving approach of inflammation status with prognostic value of long-term CV related events in non-ischemic HF patients. Funding Acknowledgement Type of funding sources: None. Figure 1. Probability of MACE by GlycA tertilesFigure 2. Probability of MACE by GlycB tertiles

Background Heart failure (HF) contemporary management has significantly improved over the past two decades leading to better survival. How application of the contemporary HF management guidelines affects the risk of death estimated by available web-based risk scores is not elucidated. Objective To assess changes in mortality risk prediction after a after a 12-month management period in a multidisciplinary HF Clinic. Methods Out of 1,689 consecutive patients with HF admitted at our ambulatory HF Clinic from May 2006 to November 2018, those who completed one year follow-up were considered for the study. Patients without NTproBNP measurement or with more than 3 missing variables for risk estimation were excluded. Three contemporary web-based HF risk scores were evaluated: MAGGIC-HF, Seattle HF Model (SHFM) and the Barcelona Bio-HF Calculator containing NTproBNP (BCN Bio-HF). Risk of all-cause death at one year and at 3 years were calculated at baseline and re-evaluated after 12-month management in a multidsisciplinary HF Clinic. Wilcoxon paired data test was used to compare changes in mortality risk estimation over time and test equality of matched pairs for comparing estimated change among tools. 442 patients used to derive the Barcelona Bio-HF Calculator were excluded for discrimination purposes. Results 1,157 patients were included (age 65.7±12.7 years, 70.4% men). A significant reduction in mortality risk estimation was observed with the three HF risk scores evaluated at 12-months (Table). The BCN Bio-HF model showed significantly different changes in risk estimation, fact that indeed was partnered with numerically better discrimination. AUC at 1 and 3 years, respectively, were: BCN Bio-HF (0.773 and 0.775), MAGGIC HF (0.686 and 0.748) and SHFM (0.773 and 0.739). Conclusions The three web-based risk scores evaluated showed a significant reduction in mortality risk estimation after 12 month management in a multidisciplinary HF Clinic. The BCN Bio-HF score showed higher reduction in estimated risk, together with better discrimination, likely because it incorporates contemporary treatment and use of biomarkers. Funding Acknowledgement Type of funding source: None

Background Three heart failure (HF) web-based risk scores are currently used in clinical practice. Two only include clinical variables; one adds biomarkers, known to refine pathophysiological pathways in HF and to improve mortality prediction. Objective To assess inter-score agreement and to compare mortality prediction discrimination between MAGGIC-HF risk score, Seattle HF Model (SHFM) and Barcelona Bio-HF Risk Calculator (BCN Bio-HF), which includes both clinical and biomarker variables (NTproBNP). Methods Out of 1745 consecutive patients with HF from different etiologies admitted at our Unit from May 2006 to November 2018, 1689 with NTproBNP measurement at first visit were included. Absolute and consistency intraclass correlation coefficient (ICC) at individual level among the three risk estimation tools was assessed. Bland Altman graphics were used to illustrate the differences between scores across the broad spectrum of mortality risk. Discrimination of the three prediction tools was compared by AUC of the ROC curves for 1-, 3- and 5-year all-cause mortality. Patients used previously to derivate the BCN Bio-HF were excluded. Results Patients age 66.3±13.3 years, 70.4% men, LVEF 36.4%±14.4, ischemic etiology 43.7%. Absolute ICC was poor for the three tools (from 0.18 [–0.006 to 0.35] to 0.53 [0.42 to 0.62], while consistency ICC was slightly better (from 0.28 [0.24 to 0.33] to 0.57 [0.53 to 0.60], being highest the ICC of MAGGIC-HF and BCN Bio-HF. Correlation was better among scores in low-mortality risk profile patients but clinical scores tended to infraestimate the risk in comparison with the BCN Bio-HF in high-risk patients (Figure). Discrimination was numerically better with the BCN Bio-HF at every time risk (Table), significantly better when compared with SHFM. Conclusions In comparison with other clinical scores, the BCN Bio-HF calculator predicted better higher mortality risk. Correlation was globally poor for the three tools at individual level, although improved in the low risk patients. Discrimination tended to be numerically better with the BCN Bio-HF calculator, reaching statistical significance when compared with the SHFM. Bland Altman agreement among tools Funding Acknowledgement Type of funding source: None

Background Heart Failure (HF) is the first cause of hospitalizations in people older than 65 years. Often patients suffer recurrent hospital admissions. Objective To assess recurrent HF-related hospitalizations during very long-term follow-up in a cohort of HF outpatients managed in an ambulatory structured HF Unit. Methods End of follow-up was 31.8.2019 (at least 1-year follow-up for alive patients, up to 18 years). Heart failure hospitalizations were defined as unplanned hospitalizations of at least 24 hours due to worsening heart failure and were identified from clinic records, hospital wards, or electronic Catalan history record. Death was recorded from the same sources and Spanish Health System and Spanish Death Registry. Lost information during follow-up was adequately censored (1 patient for survival status and 37 for HF-related hospitalizations). Results A total of 2355 patients were included. Follow-up span a total of 12,472 patients-years. 1682 HF-related hospitalizations were recorded in 725 patients (13.5 per 100 patients-years). Number of admissions ranged from 0 in 1630 patients to 22 in 1 patient (patients with hospitalizations, median 2 [Q1-Q3, 1–3]; 118 patients had 4 or more hospitalizations). HF hospitalization density incidence was higher during the 10 first years in patients with HF hospitalizations in the precedent year before HF Clinic baseline visit (table). By contrast, if only patients who died during follow-up were considered (N=1299), hospitalization trends significantly increased in their last period of life: 11.7%, 8.9%, 13.6%, 20.8% and 44.9% from the first to the last period (quintile) of their trajectory, respectively. Conclusions HF hospitalizations occur during the whole HF trajectory, with an increasing trend at the end of the every patient trajectory. Funding Acknowledgement Type of funding source: None

The role of lung ultrasound (LUS) in acute heart failure (HF) has been widely studied, but little is known about its usefulness in chronic HF. This study assessed the prognostic value of LUS in a cohort of chronic HF stable ambulatory patients.We included consecutive outpatients who attended a scheduled follow-up visit in a HF clinic. LUS was performed in situ. The operators were blinded to clinical data and examined 8 thoracic areas. The sum of B-lines across all lung zones and the quartiles of this addition were used for the analyses. Linear regression and Cox regression analyses were performed. The main clinical outcomes were a composite of all-cause death or hospitalization for HF and mortality from any cause.A total of 577 individuals were included (72% men; 69± 12 years). The mean number of B-lines was 5±6. During a mean follow-up of 31±7 months, 157 patients experienced the main clinical outcome and 111 died. Having ≥ 8 B-lines (Q4) doubled the risk of experiencing the composite primary event (P.001) and increased the risk of death from any cause by 2.6-fold (P.001). On multivariate analysis, the total sum of B-lines remained independent predictive factor of the composite endpoint (HR, 1.04; 95%CI, 1.02-1.06; P=.002) and of all-cause death (HR, 1.04; 95%CI, 1.02-1.07; P=.001), independently of whether or not N-terminal pro-B-type natriuretic peptide (NT-proBNP) was included in the model (P=.01 and P=.008, respectively), with a 3% to 4% increased risk for each 1-line addition.LUS identified patients with stable chronic HF at high risk of death or HF hospitalization.

For almost half a century, cardiac transplant has been the only long-term treatment for patients with end-stage heart failure. Implantable left ventricular assist devices (LVADs) have emerged as a new treatment option for advanced heart failure as destination therapy for patients either too old or not suitable for transplant. A meta-analysis presenting head-to-head comparisons of cardiac transplant versus LVAD as destination therapy (LVAD-DT) found no difference in 1-year mortality rates between LVAD-DT and cardiac transplant (OR 1.49; 95% CI [0.48–4.66]; I2=82.8%). Moreover, a recent subanalysis from the Interagency Registry for Mechanically Assisted Circulatory Support found similar outcomes after LVAD-DT implantation in both transplant and non-transplant centres. The time is right for LVAD-DT in non-transplant centres, provided multidisciplinary heart failure teams and expertise are in place.

Background Left ventricular ejection fraction (LVEF) trajectories and functional recovery with current heart failure (HF) management is increasingly recognized. Type 2 diabetes mellitus (T2D) leads to a worse prognosis in HF patients. However, it is unknown whether T2D interferes with LVEF trajectories. The aim of this study was to prospectively assess very long-term (up to 15 years) LVEF trajectories in patients with and without T2D and underlying HF. Methods Ambulatory patients admitted to a multidisciplinary HF clinic were prospectively evaluated by scheduled two-dimensional echocardiography at baseline, 1 year, and then every 2 years afterwards, up to 15 years. Statistical analyses of LVEF change with time were performed using the linear mixed effects (LME) models, and locally weighted error sum of squares (Loess) curves were plotted. Results Of the 1921 patients, 461 diabetic and 699 non-diabetic patients with LVEF Conclusions LVEF trajectories in T2D patients with depressed systolic function showed a pronounced inverted U shape with a marked decline after 9 years. Diabetic cardiomyopathy may underlie the functional decline observed.

Patients with cardiovascular risk factors or established cardiovascular disease have an increased risk of developing coronavirus disease 19 and have a worse outcome when infected, but translating this notion into effective action is challenging. At present it is unclear whether cardiovascular therapies may reduce the likelihood of infection, or improve the survival of infected patients. Given the crucial importance of this issue for clinical cardiologists and all specialists dealing with coronavirus disease 19, we tried to recapitulate the current evidence and provide some practical recommendations.

Background Neprilysin serum levels (sNEP) exhibited significant prognostic value in patients with heart failure (HF). In the PARADIGM-HF study benefit of sacubitril/valsartan was observed in patients with reduced ejection fraction (HFrEF), while in the PARAGON-HF benefit was only observed in the subgroup of patients with LVEF Objective To assess the prognostic value of sNEP in ambulatory patients with HF and preserved ejection fraction (HFpEF) and LVEF >57% (group 1), in comparison with patients with LVEF ≤57% (group 2). Methods Consecutive patients with HF attended at the Unit from May 2006 to February 2016 were considered for the study. The primary end-point was the composite of cardiovascular death or HF hospitalization. All-cause death, cardiovascular death, HF hospitalization and the composite of all-cause death or HF hospitalization were secondary end-points. Competing risk methods (R package by Bob Gray for SPSS) were used when required. Results sNEP was measured in 1428 patients (age 67.7±12.7, 70.3% men, LVEF 35.8% ±14, 48.9% from ischemic etiology), 144 of which had a LVEF >57% (age 70.1±15, 43.8% men, 53.5% from hypertensive or valvular etiologies). sNEP levels did not significantly differ between the two groups of patients (p=0.31). During a mean follow-up of 6±3.9 years, 856 deaths were recorded (459 from cardiovascular causes) and 523 patients suffered at least one HF hospitalization. The primary end-point occurred in 941 patients (in 111 of the 144 patients with LVEF >57%). Table 1 shows sNEP age- and sex-adjusted hazard ratios for the primary and secondary end-points. Conclusions sNEP prognostic value in patients with HFpEF and LVEF >57% outperforms that observed in patients with lower LVEF. These data support the personalized use of sNEP in identifying HFpEF patients that may benefit from treatment with sacubitril/valsartan. Funding Acknowledgement Type of funding source: None

Heart failure (HF) is a major public health problem and a leading cause of hospitalization in western countries. Over the past decades, the goal has been to find the best method for monitoring congestive symptoms to prevent hospitalizations. Addressing this task through regular physician visits, blood tests, and imaging has proven insufficient for optimal control and has not decreased enough HF-related hospitalization rates. In recent years, new devices have been developed for this reason and CardioMEMS is one of the therapeutic monitoring options. CardioMEMS has shown to be effective in preventing and reducing HF hospitalizations in patients both with HF with reduced ejection fraction and HF with preserved ejection fraction. CardioMEMS’ versatility has made it a great option for pulmonary artery pressure monitoring, both during the coronavirus disease-19 (COVID-19) pandemic and when the clinic visits have (partially) resumed. CardioMEMS is the remote haemodynamic monitoring system with the most evidence-driven efficacy, and COVID-19 has put it in the spot as a centre-stage technology for HF monitoring. In a few months of the COVID-19 epidemic, CardioMEMS has grown to maturity, making it the new normal for high-quality, high-value remote HF care.

Physical activity has benefits on health. However, there is a small risk of effort-related adverse events. The aim of this study is to describe exercise-related severe cardiovascular events and to relate them with the type of sport performed. We performed a ten-year retrospective study in eight Spanish cardiac intensive care units. Adverse cardiac events were defined as acute myocardial infarction, cardiac arrest or syncope related to physical activity. From 117 patients included, 109 were male (93.2%), and mean age was 51.6 ± 12.3 years; 56 presented acute myocardial infarction without cardiac arrest (47.9%), 55 sudden cardiac death (47.0%) and six syncope (5.1%). The sports with higher number of events were cycling (33%-28.2%), marathon or similar running competitions (19%-16.2%), gymnastics (18%-15.3%) and soccer (17%-14.5%). Myocardial infarction was observed more frequently in cyclists compared to other sports (69.7% vs 39.3%, P =.001). The most common cause of sudden cardiac death was myocardial infarction in those >35 years (23%-63.9%) and idiopathic ventricular fibrillation in younger patients (5%-62.5%). Significant coronary artery disease was present in 85 (79.4%). Only one patient with cardiac arrest presented with a non-shockable rhythm (asystole). Eleven patients (9.4%) died during hospitalization; in all cases, they had presented cardiac arrest. All discharged patients were alive at the end of follow-up. Exercise-related severe cardiac events are mainly seen in men. Coronary heart disease is very frequent; about half present acute myocardial infarction and the other half cardiac arrest. In our cohort, prognosis was good in patients without cardiac arrest. Sin financiación 3.631 JCR (2018) Q1, 11/83 Sport Sciences 1.627 SJR (2018) Q1, 11/209 Physical Therapy, Sports Therapy and Rehabilitation, 17/125 Sports Science, 21/289 Orthopedics and Sports Medicine No data IDR 2018 UEM