Sudden Cardiac Death in Heart Failure: A 20-Year Perspective From a Mediterranean Cohort.

BACKGROUND: The prediction of sudden cardiac death (SCD) in heart failure (HF) remains an unmet need. The aim of our study was to assess the prevalence of SCD over 20 years in outpatients with HF managed in a Mediterranean multidisciplinary HF Clinic, and to compare the proportion of SCD (SCD/all-cause death) to the expected proportional occurrence based on the validated Seattle Proportional Risk Model (SPRM) score. METHODS AND RESULTS: This prospective observational registry study included 2772 outpatients with HF admitted between August 2001 and May 2021. Patients were included when the cause of death was known and SPRM score was available. Over the 20-year study period, 1351 patients (48.7%) died during a median follow-up period of 3.8 years (interquartile range 1.6-7.6). Among these patients, the proportion of SCD out of the total of deaths was 13.6%, whereas the predicted by SPRM was 39.6%. This lower proportion of SCD was observed independently of left ventricular ejection fraction, ischemic etiology, and the presence of an implantable cardiac defibrillator. CONCLUSIONS: In a Mediterranean cohort of outpatients with HF, the proportion of SCD was lower than expected based on the SPRM score. Future studies should investigate to what extend epidemiological and guideline-directed medical therapy patterns influence SCD.

Long-term LVEF trajectories in patients with type 2 diabetes and heart failure: diabetic cardiomyopathy may underlie functional decline.

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 < 50% were included in the study. The mean number of echocardiography measurements performed in diabetic patients was 3.3 ± 1.6. Early LVEF recovery was similar in diabetic and non-diabetic patients, but Loess curves showed a more pronounced inverted U shape in diabetics with a more pronounced decline after 9 years. LME analysis showed a statistical interaction between T2D and LVEF trajectory over time (p = 0.009), which was statistically significant in patients with ischemic etiologies (p < 0.001). Other variables that showed an interaction between LVEF trajectories and T2D were male sex (p = 0.04) and HF duration (p = 0.008). 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.

Importance of iron deficiency in patients with chronic heart failure as a predictor of mortality and hospitalizations: insights from an observational cohort study.

BACKGROUND: Iron deficiency (ID) in patients with chronic heart failure (CHF) is considered an adverse prognostic factor. We aimed to evaluate if ID in patients with CHF is associated with increased mortality and hospitalizations. METHODS: We evaluated ID in patients with CHF at 3 university hospitals. ID was defined as absolute (ferritin < 100 µg/L) or functional (transferrin Saturation index < 20% and ferritin between 100 and 299 µg/L). We excluded patients who received treatment with intravenous Iron or Erythropoietin during follow-up. We evaluated if ID was a predictor of death or hospitalization due to heart failure or any cause using univariate and multivariate cox regression analysis. RESULTS: We included 1684 patients, 65% males, 38% diabetics, median age of 72 years, 37% in functional class III-IV and 30% of patients with a left ventricular ejection fraction > 45%. Patients were well treated, with 87% and 88% of patients receiving renin-angiotensin inhibitors and beta-blockers, respectively. Median transferrin saturation index was 20%, median ferritin 155 ng/mL and median haemoglobin 13 g/dL. ID was present in 53% of patients; in 35% it was absolute and in 18% functional. Median follow-up was 20 months. ID was a predictor of death, hospitalization due to heart failure or to any cause in univariate analysis but not after multivariate analysis. No differences were found between absolute or functional ID regarding prognosis. CONCLUSION: In a real life population of patients with CHF and a high prevalence of heart failure with preserved ejection fraction, ID did not predict mortality or hospitalizations after adjustment for comorbidities, functional class and neurohormonal treatment.

Impact of diabetes on the predictive value of heart failure biomarkers.

BACKGROUND: Patients with diabetes mellitus (DM) have an increased risk of developing heart failure (HF). Further, DM is associated with poor prognosis in patients with HF. Our aim was to determine whether DM has any impact on the predictive value of a multi-biomarker panel in patients with HF. METHODS: We included 1069 consecutive ambulatory HF patients in the study: age 66.2 ± 12.8 years, 33.5 ± 13.3 left ventricular ejection fraction, 36% diabetic patients. We measured serum concentrations of N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitivity troponin T (hs-TnT), ST2, galectin-3, high-sensitivity C reactive protein (hs-CRP), cystatin-C, soluble transferrin receptor (sTfR), and neprilysin and followed patients for 4.9 ± 2.8 years. Primary endpoints were all-cause and cardiovascular death. RESULTS: During follow-up, 534 patients died; 283 died of cardiovascular causes. Diabetic subjects had higher mortality (57.7 vs. 45.6%, p < 0.001). NTproBNP (p = 0.07), hs-TnT (p < 0.001), galectin-3 (p < 0.001), and cystatin-C (p = 0.001) concentrations were higher in diabetic patients, whereas sTfR levels were lower (p = 0.005). There were no interactions between DM and NTproBNP, hs-TnT, galectin-3, hs-CRP, cystatin-C, sTfR, and neprilysin relative to risk prediction for all-cause or cardiovascular death. By contrast, ST2 significantly interacted with DM for all-cause (p = 0.02) and cardiovascular (p = 0.03) death. In diabetic patients, HRs for ST2 were 1.27 (95% CI 1.16-1.40, p < 0.001) and 1.23 (95% CI 1.09-1.39, p = 0.001) for all-cause and cardiovascular death, respectively. In nondiabetic patients, HRs for ST2 were 1.53 (95% CI 1.35-1.73, p < 0.001) and 1.64 (95% CI 1.31-2.05, p < 0.001) for all-cause and cardiovascular death, respectively. The multivariable Cox regression analysis showed that hs-TnT and ST2 were the only markers that were independently associated with both all-cause and cardiovascular mortality in patients with HF and diabetes. Moreover, in these patients, the combination of these two markers significantly increased discrimination as assessed by the area under the curve. CONCLUSIONS: Biomarkers used in the general population to predict the clinical course of heart failure are also useful in patients with diabetes. In these patients, among all the biomarkers analysed only hs-TnT and ST2 were independently associated with both all-cause and cardiovascular mortality.

The real-life value of ST2 monitoring during heart failure decompensation: impact on long-term readmission and mortality.

CONTEXT: Prognostic value of ST2 levels and dynamics has not been investigated in acute heart failure (AHF) using prospective real-life measurements. OBJECTIVE: The objective of this study is to investigate the prognostic value of ST2 in AHF. METHODS: ST2 levels were determined at admission (n = 182) and discharge (n = 85). Primary endpoint was the composite of all-cause death and HF rehospitalisation at one year. RESULTS: Discharge ST2 (HR 2.42 [95% CI 1.46-4], p = 0.001) and ΔST2 (HR 2.32 [95% CI 1.21-4.57], p = 0.01) but not admission ST2, remained independently prognostic for the primary endpoint after comprehensive multivariable adjustment. ST2 significantly improved prognosis stratification on top of clinical variables and NTproBNP. CONCLUSIONS: Routine clinical use of discharge ST2 and ST2 dynamics provide independent prognostic information.

ST2 pathogenetic profile in ambulatory heart failure patients.

BACKGROUND: Soluble ST2 is involved in multiple pathogenic pathways, including cardiac strain, inflammation, and myocardial necrosis with remodeling. The relative weight of ST2 and the point at which its prognostic value in heart failure (HF) is affected by different degrees of myocardial strain, inflammation, necrosis, and remodeling is unknown. METHODS AND RESULTS: We examined whether soluble ST2 levels improves HF risk stratification relative to other biomarkers representative of multiple pathogenic pathways-N-terminal pro-B-type natriuretic peptide (NT-proBNP; strain), high-sensitivity C-reactive protein (hsCRP; inflammation), and galectin-3 and high-sensitivity troponin T (hsTnT; necrosis and remodeling)-in 1,015 patients with mean left ventricular ejection fraction (LVEF) 33.5%. Mean follow-up was 4.2 ± 2.1 years. The correlation with soluble ST2 was highest with NT-proBNP (r = 0.32; P < .001) and lowest with galectin-3 (r = 0.15; P < .001). ST2 levels increased with increasing concentrations of the other biomarkers (P < .001 in all cases). During follow-up, 467 patients died. Soluble ST2 remained an independent prognosticator of risk at every tertile of each biomarker. This was observed even after adjusting for clinical parameters. CONCLUSIONS: Soluble ST2 may be regarded as a 3-in-1 prognosis biomarker in HF. ST2 provides valuable long-term risk stratification information in HF beyond that reported by other biomarkers of stretch, inflammation, necrosis, and remodeling.

Long-term prognostic value for patients with chronic heart failure of estimated glomerular filtration rate calculated with the new CKD-EPI equations containing cystatin C.

BACKGROUND: Correct estimation of renal function is crucial in assessing prognosis of patients with heart failure (HF). Recently, two new equations have been proposed to calculate estimated glomerular filtration rate (eGFR) with cystatin C alone or both creatinine and cystatin C. We assessed the prognostic value of eGFR estimated by these new equations in outpatients with HF. METHODS: The study included 879 patients with median age, 70.4 years; main etiology of HF ischemic heart disease, 52.7%; and median LVEF, 34%. RESULTS: eGFR estimates by the new equations correlated significantly with eGFR estimates from previous equations, with the best correlation observed between the 2 equations containing cystatin C [intraclass correlation coefficient 0.95 (95% confidence interval 0.94-0.95)]. During a median follow-up of 3.94 years, 371 patients died. The Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI) equations containing cystatin C were found to be best for predicting death [area under the ROC curve 0.685 for CKD-EPI-cystatin C and 0.672 for CKD-EPI-creatinine-cystatin C vs 0.632 for simplified Modification of Diet in Renal Disease Study traceable to isotope dilution mass spectrometry and 0.643 for CKD-EPI (all P < 0.001)]. The CKD-EPI-cystatin C equations also showed significantly better calibration and reclassification measurements for both integrated discrimination improvement and net reclassification improvement in predicting death (P < 0.001). Reclassification with these new equations was particularly better in the subgroup with intermediate eGFR [45-74 mL · min(-1) · (1.73 m(2))(-1)]. CONCLUSIONS: The two new CKD-EPI equations containing cystatin C are useful for HF risk stratification and show better prognostic performance than creatinine-only based eGFR equations, mostly in patients with intermediate eGFR. These equations seem appropriate for assessing prognosis of HF patients with moderate renal insufficiency.

Trajectories of Kidney Function in Heart Failure Over a 15-Year Follow-Up: Clinical Profiling and Mortality.

BACKGROUND: Limited data are available on the long-term trajectory of estimated glomerular filtration rate (eGFR) in patients with chronic heart failure. OBJECTIVES: The authors evaluated eGFR dynamics using the 2009 Chronic Kidney Disease Epidemiology Collaboration equation and its prognostic significance in a real-world cohort over a 15-year follow-up. METHODS: A prospective observational registry of ambulatory heart failure outpatients was conducted, with regular eGFR assessments at baseline and on a 3-month schedule for ≤15 years. Urgent kidney function assessments were excluded. Locally weighted error sum of squares curves were plotted for predefined subgroups. Multivariable longitudinal Cox regression analyses were conducted to assess associations with all-cause and cardiovascular death. RESULTS: A total of 2,672 patients were enrolled consecutively between August 2001 and December 2021. The average age was 66.8 ± 12.6 years, and 69.8% were men. Among 40,970 creatinine measurements, 28,634 were used for eGFR analysis, averaging 10.7 ± 8.5 per patient. Over the study period, a significant decline in eGFR was observed in the entire cohort, with a slope of -1.70 mL/min/1.73 m2 per year (95% CI: -1.75 to -1.66 mL/min/1.73 m2 per year). Older patients, those with diabetes, a preserved ejection fraction, a higher baseline eGFR, elevated hospitalization rates, and those who died during follow-up experienced more pronounced decreases in the eGFR. Moreover, the decrease in kidney function correlated independently with all-cause mortality and cardiovascular death. CONCLUSIONS: These findings highlight the sustained decline in eGFR over 15 years in patients with heart failure, with variations based on clinical characteristics, and emphasize the importance of regular eGFR monitoring in this population.

Soluble ST2 serum concentration and renal function in heart failure.

BACKGROUND: Soluble ST2 (sST2) provides important prognostic information in patients with heart failure (HF). How sST2 serum concentration is related to renal function is uncertain. We evaluated the association between sST2 and renal function and compared its prognostic value in HF patients with renal insufficiency. METHODS AND RESULTS: Patients (n = 879; median age 70.4 years; 71.8% men) were divided into 3 subgroups according to estimated glomerular filtration rate (eGFR): ≥60 mL/min/1.73 m(2) (n = 337); 30-59 mL/min/1.73 m(2) (n = 352); and <30 mL/min/1.73 m(2) (n = 190). sST2 (rho = -0.16; P < .001), N-terminal pro-B-type natriuretic peptide (rho = -0.40; P < .001), and high-sensitivity cardiac troponin T (rho = -0.47; P < .001) inversely correlated with eGFR. All-cause mortality was the primary end point. During a median follow-up of 3.46 years, 312 patients (35%) died, 246 of them from the subgroup of 542 patients with eGFR <60 mL/min/1.73 m(2) (45%). Biomarker combination including sST2 showed best discrimination, calibration, and reclassification metrics in renal insufficiency patients (net reclassification improvement 16.6 [95% confidence interval (CI) 8.1-25; P < .001]; integrated discrimination improvement 4.2 [95% CI 2.2-6.2; P < .001]). Improvement in reclassification was higher in these patients than in the total cohort. CONCLUSIONS: The prognostic value of sST2 was not influenced by renal function. On top of other biomarkers, sST2 improved long-term prediction in patients with renal insufficiency even more than in the total cohort.

Relationship of Circulating Vegetable Omega-3 to Prognosis in Patients With Heart Failure.

BACKGROUND: There is an urgent need for cost-effective strategies to promote quality of life in patients with heart failure (HF). Several studies reported benefits in HF prognosis for marine omega-3 fatty acids and plant-based dietary patterns. OBJECTIVES: The aim of this study was to explore whether dietary alpha-linolenic acid (ALA), the main plant omega-3, relates to a better HF prognosis. METHODS: ALA was determined in serum phospholipids (which reflect long-term dietary ALA intake and metabolism) by gas chromatography in 905 ambulatory patients with HF caused by different etiologies. RESULTS: After a median follow-up of 2.4 years (range: 0.02-3 years), 140 all-cause deaths, 85 cardiovascular (CV) deaths, and 141 first HF hospitalizations (composite of all-cause death and first HF hospitalization, n = 238) were documented. Using Cox regression analyses, we observed that, compared with patients at the lowest quartile of ALA in serum phospholipids (Q1), those at the 3 upper quartiles (Q2-Q4) exhibited a reduction in the risk of composite of all-cause death and first HF hospitalization (HR: 0.61; 95% CI: 0.46-0.81). Statistically significant reductions were observed for all-cause death (HR: 0.58; 95% CI: 0.41-0.82), CV death (HR: 0.51; 95% CI: 0.32-0.80), first HF hospitalization (HR: 0.58; 95% CI: 0.40-0.84), and the composite of CV death and HF hospitalization (HR: 0.58; 95% CI: 0.42-0.79). CONCLUSIONS: HF patients with bottom 25% ALA levels in serum phospholipids had a worse prognosis during a mid-term follow-up compared with those with the highest levels. This might be a target population in whom to test dietary ALA-rich interventions to promote quality of life.

Nutritional Status According to the GLIM Criteria in Patients with Chronic Heart Failure: Association with Prognosis.

BACKGROUND: The Global Leadership Initiative on Malnutrition (GLIM) criteria were recently proposed to build a global consensus on the diagnostic criteria for malnutrition. This study aimed to evaluate the GLIM criteria for its prognostic significance in outpatients with heart failure (HF), and to compare them to a previous validated method, such as the Mini Nutritional Assessment (MNA). METHODS: This was a post hoc observational analysis of a prospectively recruited cohort, which included 151 subjects that attended an outpatient HF clinic. At baseline, all patients completed the nutritional screening MNA short form and the nutritional assessment MNA. In a post hoc analysis, we evaluated the GLIM criteria at baseline. The outcomes were based on data from a five-year follow-up. The primary endpoint was all-cause mortality. Secondary endpoints were cardiovascular (CV) mortality and recurrent HF-related hospitalizations. We also investigated whether the GLIM criteria had better prognostic power than the MNA. RESULTS: Abnormal nutritional status was identified in 19.8% of the patients with the GLIM criteria and in 25.1% with the MNA. In the multivariate analyses (age, sex, NYHA functional class, diabetes, and Barthel index), nutritional status assessed by the MNA, but not by the GLIM criteria, was an independent predictor of all-cause mortality, CV mortality, and recurrent HF-related hospitalizations during the five-year follow-up. CONCLUSIONS: Malnutrition assessed by MNA, but not by the GLIM criteria, was an independent predictor of all-cause mortality, CV mortality, and recurrent HF-related hospitalization in our cohort of outpatients with HF.

Quality of life in patients with heart failure and improved ejection fraction: one-year changes and prognosis.

AIMS: The criteria for patients with heart failure (HF) and improved ejection fraction (HFimpEF) are a baseline left ventricular ejection fraction (LVEF) ≤40%, a ≥10-point increase from baseline LVEF, and a second LVEF measurement >40%. We aimed to (i) assess patients with HF and reduced LVEF (HFrEF) at baseline and compare quality of life (QoL) changes between those that fulfilled and those that did not fulfil the HFimpEF criteria 1 year later and (ii) assess the prognostic role of QoL in patients with HFimpEF. METHODS: We reviewed data from a prospective registry of real-world outpatients with HF that were assessed for LVEF and QoL at a first visit to the HF clinic and 1 year later. QoL was evaluated with the Minnesota Living with Heart Failure Questionnaire (MLWHFQ). The primary prognostic endpoint was the composite of all-cause death or HF hospitalization. RESULTS: Baseline and 1-year LVEF and MLWFQ scores were available for 1040 patients with an initial LVEF ≤40% (mean age, 65.2 ± 11.7 years; 75.9% men). The main aetiology was ischaemic heart disease (52.9%), and patients were mostly in New York heart Association Classes II (71.1%) and III (21.6%). At baseline, the mean LVEF was 28.5% ± 7.3, and the mean MLWHFQ score was 30.2 ± 19.5. After 1 year, the mean LVEF increased to 38.0% ± 12.2, and the MLWHFQ scores improved to 17.4 ± 16.0. In 361 patients that fulfilled the HFimpEF criteria (34.7%), significant improvements were observed in both LVEF (from 28.7% ± 6.6 to 50.9% ± 7.6, P < 0.001) and QoL (from 32.9 ± 20.6 to 16.9 ± 16.0, P < 0.001). Patients that did not fulfil the HFimpEF criteria also showed significant improvements in LVEF (from 28.4% ± 7.6 to 31.1% ± 7.9, P < 0.001) and QoL (from 28.7 ± 18.8 to 17.6 ± 15.9, P < 0.001). However, the QoL improvement was significantly higher in the HFimpEF group (-16.0 ± 23.8 vs. -11.1 ± 20.3, P = 0.001), despite the worse mean baseline MLWHFQ score, compared with the non-HFimpEF group (P = 0.001). The 1-year QoL was similar between groups (P = 0.50). The 1-year MLWHFQ score was independently associated with outcomes; the hazard ratio for the composite endpoint was 1.02 (95% CI: 1.01-1.03, P = 0.006). In contrast, the QoL improvement (with a cut-off ≥5 points) was not independently associated with the composite outcome. CONCLUSIONS: Patients with HFrEF showed improved QoL after 1 year, regardless of whether they met the HFimpEF criteria. The similar 1-year QoL perception between groups suggested that factors other than LVEF influenced QoL perception. The 1-year QoL was superior to the QoL change from baseline for predicting prognosis in patients with HFimpEF.

Cause of Death in Heart Failure Based on Etiology: Long-Term Cohort Study of All-Cause and Cardiovascular Mortality.

We assessed differences in long-term all-cause and cardiovascular (CV) mortality in heart failure (HF) outpatients based on the etiology of HF. Consecutive patients admitted to the HF Clinic from August 2001 to September 2019 (N = 2587) were considered for inclusion. HF etiology was divided into ischemic heart disease (IHD), dilated cardiomyopathy (DCM), hypertensive heart disease, alcoholic cardiomyopathy, drug-induced cardiomyopathy (DICM), valvular heart disease, and hypertrophic cardiomyopathy. All-cause death and CV death were the primary end points. Among 2387 patients included in the analysis (mean age 66.5 ± 12.5 years, 71.3% men), 1317 deaths were recorded (731 from CV cause) over a maximum follow-up of 18 years (median 4.1 years, interquartile range (IQR) 2-7.8). Considering IHD as the reference, only DCM had a lower risk of all-cause death (adjusted hazard ratio (aHR) 0.68, 95% confidence interval (CI) 0.56-0.83, p < 0.001), and only DICM had a higher risk of all-cause death (aHR 1.47, 95% CI 1.02-2.11, p = 0.04). However, almost all etiologies had a significantly lower risk of CV death than IHD. Among the studied HF etiologies, DCM and DICM have the lowest and highest risk of all-cause death, respectively, whereas IHD has the highest adjusted risk of CV death.

Mortality Risk Prediction Dynamics After Heart Failure Treatment Optimization: Repeat Risk Assessment Using Online Risk Calculators.

Objectives: Heart failure (HF) management has significantly improved over the past two decades, leading to better survival. This study aimed to assess changes in predicted mortality risk after 12 months of management in a multidisciplinary HF clinic. Materials and Methods: Out of 1,032 consecutive HF outpatients admitted from March-2012 to November-2018, 357 completed the 12-months follow-up and had N-terminal pro-B-type natriuretic peptide (NTproBNP), high sensitivity troponin T (hs-TnT), and interleukin-1 receptor-like-1 (known as ST2) measurements available both at baseline and follow-up. Three contemporary risk scores were used: MAGGIC-HF, Seattle HF Model (SHFM), and the Barcelona Bio-HF (BCN Bio-HF) calculator, which incorporates the three above mentioned biomarkers. The predicted risk of all-cause death at 1 and 3 years was calculated at baseline and re-evaluated after 12 months. Results: A significant decline in predicted 1-and 3-year mortality risk was observed at 12 months: MAGGIC ~16%, SHFM ~22% and BCN Bio-HF ~15%. In the HF with reduced ejection fraction (HFrEF) subgroup guideline-directed medical therapy led to a complete normalization of left ventricular ejection fraction (≥50%) in almost a third of the patients and to a partial normalization (41-49%) in 30% of them. Repeated risk assessment after 12 months with SHFM and BCN Bio-HF provided adequate discrimination for all-cause 3-year mortality (C-Index: MAGGIC-HF 0.762, SHFM 0.781 and BCN Bio-HF 0.791). Conclusion: Mortality risk declines in patients with HF managed for 12 months in a multidisciplinary HF clinic. Repeating the mortality risk assessment after optimizing the HF treatment is recommended, particularly in the HFrEF subgroup.

Sacubitril/valsartan affects pulmonary arterial pressure in heart failure with preserved ejection fraction and pulmonary hypertension.

AIMS: Prior studies have not fully characterized the haemodynamic effects of the angiotensin receptor-neprilysin inhibitor (ARNI) sacubitril/valsartan in heart failure with preserved ejection fraction and pulmonary hypertension (HFpEF-PH). The aim of the Treatment of PH With Angiotensin II Receptor Blocker and Neprilysin Inhibitor in HFpEF Patients With CardioMEMS Device (ARNIMEMS-HFpEF) study is to assess pulmonary artery pressure (PAP) dynamics by means of implanted PAP monitors in patients with HFpEF-PH treated with sacubitril/valsartan. METHODS AND RESULTS: This single-arm, investigator-initiated, interventional study included 14 consecutive ambulatory symptomatic HFpEF-PH patients who underwent CardioMEMS implantation prior to enrolment [mean ejection fraction 60.4 ± 7.2%, baseline mean PAP (mPAP) 33.9 ± 7.6 mmHg]. Daily PAP values were examined during three periods: a 6 week period after CardioMEMS implantation and before sacubitril/valsartan treatment (pre-ARNI), a 6 week period with sacubitril/valsartan treatment (ARNI ON), and a 6 week period of sacubitril/valsartan withdrawal (ARNI OFF). The primary endpoint was change in mPAP with and without sacubitril/valsartan. Secondary endpoints included changes in 6 min walking distance, B-line sum in lung ultrasound, and quality of life (QoL). During the study period, 1717 mPAP measurements were recorded. Between pre-ARNI vs. ARNI ON, mPAP significantly declined by -4.99 mmHg [95% confidence interval (CI) -5.55 to -4.43]. Between ARNI ON vs. ARNI OFF, mPAP significantly increased by +2.84 mmHg [95% CI +2.26 to +3.42]. Between pre-ARNI vs. ARNI ON, we found an improvement in 6 min walking distance, B-lines, and QoL. Mean loop diuretic management did not differ between periods. CONCLUSIONS: Sacubitril/valsartan significantly reduced mPAP in patients with HFpEF-PH, independent of loop diuretic management, together with improvement in functional capacity, lung congestion, and QoL. Sacubitril/valsartan may be a therapeutic alternative in HFpEF-PH.

Clinical Determinants and Prognosis of Left Ventricular Reverse Remodelling in Non-Ischemic Dilated Cardiomyopathy.

AIMS: Non-ischaemic dilated cardiomyopathy (NIDCM) is characterized by left ventricular (LV) chamber enlargement and systolic dysfunction in the absence of coronary artery disease. Left ventricular reverse remodelling (LVRR) is the ability of a dilated ventricle to restore its normal size, shape and function. We sought to determine the frequency, clinical predictors and prognostic implications of LVRR, in a cohort of heart failure (HF) patients with NIDCM. METHODS: We conducted a multicentre observational, retrospective cohort study of patients with NIDCM, with prospective serial echocardiography evaluations. LVRR was defined as an increase of ≥15% in left ventricular ejection fraction (LVEF) or as a LVEF increase ≥ 10% plus reduction of LV end-systolic diameter index ≥ 20%. We used multivariable logistic regression analyses to identify the baseline clinical predictors of LVRR and evaluate the prognostic impact of LVRR. RESULTS: LVRR was achieved in 42.5% of 527 patients with NIDCM during the first year of follow-up (median LVEF 49%, median change +22%), Alcoholic aetiology, HF duration, baseline LVEF and the absence of LBBB (plus NT-proBNP levels when in the model), were the strongest predictors of LVRR. During a median follow-up of 47 months, 134 patients died (25.4%) and 7 patients (1.3%) received a heart transplant. Patients with LVRR presented better outcomes, regardless of other clinical conditions. CONCLUSIONS: In patients with NIDCM, LVRR was frequent and was associated with improved prognosis. Major clinical predictors of LVRR were alcoholic cardiomyopathy, absence of LBBB, shorter HF duration, and lower baseline LVEF and NT-proBNP levels. Our study advocates for clinical phenotyping of non-ischaemic dilated cardiomyopathy and intense gold-standard treatment optimization of patients according to current guidelines and recommendations in specialized HF units.

Circulating neprilysin hypothesis: A new opportunity for sacubitril/valsartan in patients with heart failure and preserved ejection fraction?

BACKGROUND: Circulating 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%. METHODS: Consecutive 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. RESULTS: sNEP 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. CONCLUSIONS: sNEP 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.

Body mass index and outcomes in ischaemic versus non-ischaemic heart failure across the spectrum of ejection fraction.

AIMS: Obesity is related to better prognosis in heart failure with either reduced (HFrEF; left ventricular ejection fraction (LVEF) < 40%) or preserved LVEF (HFpEF; LVEF ≥50%). Whether the obesity paradox exists in patients with heart failure and mid-range LVEF (HFmrEF; LVEF 40-49%) and whether it is independent of heart failure aetiology is unknown. Therefore, we aimed to test the prognostic value of body mass index (BMI) in ischaemic and non-ischaemic heart failure patients across the whole spectrum of LVEF. METHODS: Consecutive ambulatory heart failure patients were enrolled in two tertiary centres in Italy and Spain and classified as HFrEF, HFmrEF or HFpEF, of either ischaemic or non-ischaemic aetiology. Patients were stratified into underweight (BMI < 18.5 kg/m2), normal-weight (BMI 18.5-24.9 kg/m2), overweight (BMI 25-29.9 kg/m2), mild-obese (BMI 30-34.9 kg/m2), moderate-obese (BMI 35-39.9 kg/m2) and severe-obese (BMI ≥40 kg/m2) and followed up for the end-point of five-year all-cause mortality. RESULTS: We enrolled 5155 patients (age 70 years (60-77); 71% males; LVEF 35% (27-45); 63% HFrEF, 18% HFmrEF, 19% HFpEF). At multivariable analysis, mild obesity was independently associated with a lower risk of all-cause mortality in HFrEF (hazard ratio, 0.78 (95% confidence interval (CI) 0.64-0.95), p = 0.020), HFmrEF (hazard ratio 0.63 (95% CI 0.41-0.96), p = 0.029), and HFpEF (hazard ratio 0.60 (95% CI 0.42-0.88), p = 0.008). Both overweight and mild-to-moderate obesity were associated with better outcome in non-ischaemic heart failure, but not in ischaemic heart failure. CONCLUSIONS: Mild obesity is independently associated with better survival in heart failure across the whole spectrum of LVEF. Prognostic benefit of obesity is maintained only in non-ischaemic heart failure.

Prognostic value of lung ultrasound in chronic stable ambulatory heart failure patients.

INTRODUCTION AND OBJECTIVES: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: LUS identified patients with stable chronic HF at high risk of death or HF hospitalization.