Impact of Sacubitril/ Valsartan on quality of life and ejection fraction of heart failure patients with and without chronic kidney disease.

Objective: Chronic kidney disease (CKD) patients are at high risk of heart failure (HF) and both share similar risk factors, including diabetes and elevated blood Pressure (B.P). Aim of this study was to determine the impact of sacubitril/valsartan on the quality of life (QOL) and ejection fraction (EF) of patients with HF with and without CKD. Methods: Single center (Doctors Hospital Lahore), observational study with longitudinal follow up, on 104 HF patients from July 2019 to July 2020. HF was diagnosed on both clinical and echo parameters. New York Heart Association Class II-IV, EF less than or equal to 40% HF with reduced EF and stage three CKD patients were included. Sacubitril/Valsartan was prescribed at a starting daily dose of 50mg and then up titrated to 400mg. Patients were followed up with clinical evaluation, QOL assessment, echocardiography and biochemical profile at one, four, eight and 12 months. Results: Gender, age, and diabetes mellitus between CKD and non-CKD patients were noted to be statistically different, defined as p<0.05. CKD patients' QOL increased from 45.15 to 57.57 from baseline to 12 months (p-value<0.01). Non-CKD patients' QOL increased from 48.07 to 56.25. In CKD patients, EF increased from 27.87% to 29.29% from baseline to 12 months (p-value 0.03) whereas in non-CKD patients EF improved from 29.42% to 31.43%. Conclusion: Sacubitril/ valsartan improves QOL in patients of HF with reduced EF both with and without CKD. Clinical improvement was independent of Left Ventricular EF as measured by QOL. Thus, QOL is a useful tool to assess the drug's beneficial effect.

Notoginsenoside R1 attenuates ischemic heart failure by modulating MDM2/ß arrestin2-mediated ß2-adrenergic receptor ubiquitination.

ß2 adrenergic receptor (ß2AR) is a G-protein-coupled receptor involved in cardiac protection. In chronic heart failure (CHF), persistent sympathetic nervous system activation occurs, resulting in prolonged ß2AR activation and subsequent receptor desensitization and downregulation. Notoginsenoside R1 (NGR1) has the functions of enhancing myocardial energy metabolism and mitigating myocardial fibrosis. The mechanisms of NGR1 against ischemic heart failure are unclear. A left anterior descending (LAD) artery ligation procedure was performed on C57BL/6 J mice for four weeks. From the 4th week onwards, they were treated with various doses (3, 10, 30 mg/kg/day) of NGR1. Subsequently, the impacts of NGR1 on ischemic heart failure were evaluated by assessing cardiac function, morphological changes in cardiac tissue, and the expression of atrial natriuretic peptide (ANP) and beta-myosin heavy chain (ß-MHC). H9c2 cells were protected by NGR1 when exposed to OGD/R conditions. H9c2 cells were likewise protected from OGD/R damage by NGR1. Furthermore, NGR1 increased ß2AR levels and decreased ß2AR ubiquitination. Mechanistic studies revealed that NGR1 enhanced MDM2 protein stability and increased the expression of MDM2 and ß-arrestin2 while inhibiting their interaction. Additionally, under conditions produced by OGD/R, the protective benefits of NGR1 on H9c2 cells were attenuated upon administration of the MDM2 inhibitor SP141. According to these findings, NGR1 impedes the interplay between ß-arrestin2 and MDM2, thereby preventing the ubiquitination and degradation of ß2AR to improve CHF.

The prognostic significance of pro-BNP and heart failure in acute pulmonary embolism: A systematic review.

Pulmonary embolism (PE) is the third most common type of cardiovascular disease and carries a high mortality rate of 30% if left untreated. Although it is commonly known that individuals who suffer heart failure (HF) are more likely to experience a pulmonary embolism, little is known concerning the prognostic relationship between acute PE and HF. This study aims to evaluate the prognostic usefulness of heart failure and pro-BNP in pulmonary embolism cases. A scientific literature search, including PubMed, Medline, and Cochrane reviews, was used to assess and evaluate the most pertinent research that has been published. The findings showed that increased N-terminal brain natriuretic peptide (NT-proBNP) levels could potentially identify pulmonary embolism patients with worse immediate prognoses and were highly predictive of all-cause death. Important prognostic information can be obtained from NT-proBNP and Heart-type Fatty Acid Binding Proteins (H-FABP) when examining individuals with PE. The heart, distal tubular cells of the renal system, and skeletal muscle are where H-FABP is primarily found, with myocardial cells having the highest concentration. Recent studies have indicated that these biomarkers may also help assess the severity of PE and its long-term risk.

The role of biomarkers in the prognosis and risk stratification in heart failure: A systematic review.

Acute heart failure (AHF) episodes are marked by high rates of morbidity and mortality during the episode and minimal advancements in its care. Multiple biomarker monitoring is now a crucial supplementary technique in the therapy of AHF. A scientific literature search was conducted by assessing and evaluating the most pertinent research that has been published, including original papers and review papers with the use of PubMed, Medline, and Cochrane databases. Established biomarkers like natriuretic peptides (BNP, NT-proBNP) and cardiac troponins play crucial roles in diagnostic and prognostic evaluation. Emerging biomarkers such as microRNAs, osteopontin, galectin-3, ST2, and GDF-15 show promise in enhancing risk stratification and predicting adverse outcomes in HF. However, while these biomarkers offer valuable insights, their clinical utility requires further validation and integration into practice. Continued research into novel biomarkers holds promise for early HF detection and risk assessment, potentially mitigating the global burden of HF. Understanding the nuances of biomarker utilization is crucial for their effective incorporation into clinical practice, ultimately improving HF management and patient care.

EPHB2 Knockdown Mitigated Myocardial Infarction by Inhibiting MAPK Signaling.

Myocardial infarction (MI) is a common type of cardiovascular disease. The incidence of ventricular remodeling dysplasia and heart failure increases significantly after MI. The objective of this study is to investigate whether erythropoietin hepatocellular receptor B2 (EPHB2) can regulate myocardial injury after MI and explore its regulatory pathways. EPHB2 is significantly overexpressed in the heart tissues of MI mice. The downregulation of EPHB2 alleviates the cardiac function damage after MI. Knockdown EPHB2 alleviates MI-induced myocardial tissue inflammation and apoptosis, and myocardial fibrosis in mice. EPHB2 knockdown significantly inhibits the activation of mitogen activated kinase-like protein (MAPK) pathway in MI mice. Moreover, EPHB2 overexpression significantly promotes the phosphorylation of MAPK pathway-related protein, which can be reversed by MAPK-IN-1 (an MAPK inhibitor) treatment. In conclusion, silencing EPHB2 can mitigate MI-induced myocardial injury by inhibiting MAPK signaling in mice, suggesting that targeting EPHB2 can be a promising therapeutic target for MI-induced myocardial injury.

Prediction of heart failure events based on physiologic sensor data in HINODE defibrillator patients.

AIMS: Hospitalizations are common in patients with heart failure and are associated with high mortality, readmission and economic burden. Detecting early signs of worsening heart failure may enable earlier intervention and reduce hospitalizations. The HeartLogic algorithm is designed to predict worsening heart failure using diagnostic data from multiple device sensors. The main objective of this analysis was to evaluate the sensitivity of the HeartLogic alert calculation in predicting worsening heart failure events (HFEs). We also evaluated the false positive alert rate (FPR) and compared the incidence of HFEs occurring in a HeartLogic alert state to those occurring out of an alert state. METHODS: The HINODE study enrolled 144 patients (81 ICD and 63 CRT-D) with device sensor data transmitted via a remote monitoring system. HeartLogic alerts were then retrospectively simulated using relevant sensor data. Clinicians and patients were blinded to calculated alerts. Reported adverse events with HF symptoms were adjudicated and classified by an independent HFE committee. Sensitivity was defined as the ratio of the number of detected usable HFEs (true positives) to the total number of usable HFEs. A false positive alert was defined as an alert with no usable HFE between the alert onset date and the alert recovery date plus 30 days. The patient follow-up period was categorized as in alert state or out of alert state. The event rate ratio was the HFE rate calculated in alert to out of alert. RESULTS: The patient cohort was 79% male and had an average age of 68 ± 12 years. This analysis yielded 244 years of follow-up data with 73 HFEs from 37 patients. A total of 311 HeartLogic alerts at the nominal threshold (16) occurred across 106 patients providing an alert rate of 1.27 alerts per patient-year. The HFE rate was 8.4 times greater while in alert compared with out of alert (1.09 vs. 0.13 events per patient-year; P < 0.001). At the nominal alert threshold, 80.8% of HFEs were detected by a HeartLogic alert [95% confidence interval (CI): 69.9%-89.1%]. The median time from first true positive alert to an adjudicated clinical HFE was 53 days. The FPR was 1.16 (95% CI: 0.98-1.38) alerts per patient-year. CONCLUSIONS: Results suggest that signs of worsening HF can be detected successfully with remote patient follow-up. The use of HeartLogic may predict periods of increased risk for HF or clinically significant events, allowing for early intervention and reduction of hospitalization in a vulnerable patient population.

Proteome-wide Characterization and Pathophysiology Correlation in Non-ischemic Cardiomyopathies.

BACKGROUND AND OBJECTIVES: Although the clinical consequences of advanced heart failure (HF) may be similar across different etiologies of cardiomyopathies, their proteomic expression may show substantial differences in relation to underlying pathophysiology. We aimed to identify myocardial tissue-based proteomic characteristics and the underlying molecular pathophysiology in non-ischemic cardiomyopathy with different etiologies. METHODS: Comparative extensive proteomic analysis of the myocardium was performed in nine patients with biopsy-proven non-ischemic cardiomyopathies (3 dilated cardiomyopathy [DCM], 2 hypertrophic cardiomyopathy [HCM], and 4 myocarditis) as well as five controls using tandem mass tags combined with liquid chromatography-mass spectrometry. Differential protein expression analysis, Gene Ontology (GO) analysis, and Ingenuity Pathway Analysis (IPA) were performed to identify proteomic differences and molecular mechanisms in each cardiomyopathy type compared to the control. Proteomic characteristics were further evaluated in accordance with clinical and pathological findings. RESULTS: The principal component analysis score plot showed that the controls, DCM, and HCM clustered well. However, myocarditis samples exhibited scattered distribution. IPA revealed the downregulation of oxidative phosphorylation and upregulation of the sirtuin signaling pathway in both DCM and HCM. Various inflammatory pathways were upregulated in myocarditis with the downregulation of Rho GDP dissociation inhibitors. The molecular pathophysiology identified by extensive proteomic analysis represented the clinical and pathological properties of each cardiomyopathy with abundant proteomes. CONCLUSIONS: Different etiologies of non-ischemic cardiomyopathies in advanced HF exhibit distinct proteomic expression despite shared pathologic findings. The benefit of tailored management strategies considering the different proteomic expressions in non-ischemic advanced HF requires further investigation.

General physicians' perspectives on SGLT2 inhibitors for heart failure.

BACKGROUND: Sodium-glucose cotransporter-2 inhibitors (SGLT2is) are novel agents for heart failure (HF) and are now recommended in guidelines. Understanding general physicians' perspectives can help to optimise utilisation of this new medication. AIM: To understand the clinical concerns and barriers from general physicians about prescribing SGLT2is in a general medicine cohort. METHODS: A questionnaire exploring clinicians' experience, comfort level and barriers to prescribing SGLT2is in patients with HF, incorporating two clinical scenarios, was disseminated to Internal Medicine Society of Australia and New Zealand members over a 2-month period. RESULTS: Ninety-eight participants responded to the questionnaire (10.8% response rate). Most respondents (66.3%) were senior medical staff. Most participants worked in metropolitan settings (64.3%) and in public hospital settings (83.7%). For HF with reduced ejection fraction, 23.5% of participants reported prescribing SGLT2is frequently (defined as prescribing SGLT2is frequently over 75% of occasions). For HF with preserved ejection fraction, 57.1% of participants reported prescribing SGLT2is less than 25% of the time. Almost half of the participants (44%) expressed a high level of familiarity with therapeutic knowledge of SGLT2is, while 47% indicated high familiarity with potential side effects. Patient complexity, cost of medications and discontinuity of care were identified as important barriers. Euglycemic diabetic ketoacidosis was the side effect that caused the most hesitancy to prescribe SGLT2is in 48% of the respondents. CONCLUSION: General physicians in Australia and Aotearoa New Zealand are familiar with the therapeutic knowledge and side effects of SGLT2is. Patient complexity, medication cost and discontinuity of care were significant barriers to the use of SGLT2is for HF among general physicians.

Impact of polypharmacy on 3-year mortality in patients with heart failure: a retrospective study.

BACKGROUND: Guideline-directed medical therapy (GDMT) is important in heart failure management; however, polypharmacy itself may impact heart failure. Although measures against polypharmacy are needed, current discussion on unilateral drug tapering (including the drugs that should be tapered) is insufficient. In this study, we investigated the relationship between the number of prescribed GDMT drugs and prognosis in patients with heart failure. METHODS: In this single-centre retrospective study, 3,146 eligible patients with heart failure were included and divided into four groups based on the median number of prescribed GDMT drugs and the median number of drugs not included in the GDMT (ni-GDMT) at the time of hospital discharge. The definition of GDMT was based on various Japanese guidelines. The primary outcome was all-cause mortality within 3 years of hospital discharge. RESULTS: A total of 252 deaths were observed during the 3-year follow-up period. Kaplan-Meier analysis revealed that groups with GDMT drug count ≥ 5 and ni-GDMT drug count < 4 had the lowest mortality, and those with GDMT drug count < 5 and ni-GDMT drug count ≥ 4 had the highest mortality (log-rank, P < 0.001). Cox regression analysis revealed a significant association between ni-GDMT drug count and all-cause mortality, even after adjustment for number of GDMT medications, age, male, left ventricular ejection function < 40%, hemoglobin, albumin levels, and estimated glomerular filtration rate [HR = 1.06 (95% CI: 1.01-1.11), P = 0.020]. Conversely, the GDMT drug count was not associated with increased mortality rates. CONCLUSIONS: The ni-GDMT drug count was significantly associated with 3-year mortality in patients with heart failure. Conversely, the GDMT drug count did not worsen the prognosis. Polypharmacy measures should consider ni-GDMT drug quantity to improve the prognosis and outcomes in patients with heart failure.

Non-human primate studies for cardiomyocyte transplantation-ready for translation?

Non-human primates (NHP) are valuable models for late translational pre-clinical studies, often seen as a last step before clinical application. The unique similarity between NHPs and humans is often the subject of ethical concerns. However, it is precisely this analogy in anatomy, physiology, and the immune system that narrows the translational gap to other animal models in the cardiovascular field. Cell and gene therapy approaches are two dominant strategies investigated in the research field of cardiac regeneration. Focusing on the cell therapy approach, several xeno- and allogeneic cell transplantation studies with a translational motivation have been realized in macaque species. This is based on the pressing need for novel therapeutic options for heart failure patients. Stem cell-based remuscularization of the injured heart can be achieved via direct injection of cardiomyocytes (CMs) or patch application. Both CM delivery approaches are in the late preclinical stage, and the first clinical trials have started. However, are we already ready for the clinical area? The present review concentrates on CM transplantation studies conducted in NHPs, discusses the main sources and discoveries, and provides a perspective about human translation.

Revolutionizing Healthcare: Qure.AI's Innovations in Medical Diagnosis and Treatment.

Qure.AI, a leading company in artificial intelligence (AI) applied to healthcare, has developed a suite of innovative solutions to revolutionize medical diagnosis and treatment. With a plethora of FDA-approved tools for clinical use, Qure.AI continually strives for innovation in integrating AI into healthcare systems. This article delves into the efficacy of Qure.AI's chest X-ray interpretation tool, "qXR," in medicine, drawing from a comprehensive review of clinical trials conducted by various institutions. Key applications of AI in healthcare include machine learning, deep learning, and natural language processing (NLP), all of which contribute to enhanced diagnostic accuracy, efficiency, and speed. Through the analysis of vast datasets, AI algorithms assist physicians in interpreting medical data and making informed decisions, thereby improving patient care outcomes. Illustrative examples highlight AI's impact on medical imaging, particularly in the diagnosis of conditions such as breast cancer, heart failure, and pulmonary nodules. AI can significantly reduce diagnostic errors and expedite the interpretation of medical images, leading to more timely interventions and treatments. Furthermore, AI-powered predictive analytics enable early detection of diseases and facilitate personalized treatment plans, thereby reducing healthcare costs and improving patient outcomes. The efficacy of AI in healthcare is underscored by its ability to complement traditional diagnostic methods, providing physicians with valuable insights and support in clinical decision-making. As AI continues to evolve, its role in patient care and medical research is poised to expand, promising further advancements in diagnostic accuracy and treatment efficacy.

Telemedicine and Remote Management of Patients with Heart Failure: From Theory to Daily Practice.

Background: Heart failure (HF) is responsible for a high number of hospitalizations, caused by a progressive worsening quality of life. Telemedicine allows for better management of patients' complex conditions, improving the care released. However, the risk of remaining at a testing stage often limits the integration of remote care in daily pathways for HF patients. The aim of this study is to outline the steps needed to integrate telemedicine activities into ordinary HF clinic practices. This methodology is applied to observe activities and trend improvements over a 12-month routine phase. Method: Three steps have been defined for an efficient introduction of remote care services in ordinary activities, integrating them with traditional in-person care: (i) introduction of temporary telemedicine projects, (ii) systematization of telemedicine pathways, and (iii) evaluation of monitoring phase. Observational data have been collected from structured interviews to show the rate of telemedicine activities achieved in clinical practice over the last year. Results: The methodology has been proposed in the HF clinic of the Italian hospital ASST Bergamo Est. After an initial testing phase, in which usability and user experience have been tested, four different remote activities were added: (i) telemonitoring for patients with an implantable device, (ii) follow-up televisits, (iii) nursing telephone support, and (iv) high-intensity telesurveillance pathways for patients after an HF acute event. During the last year, 218 telemonitoring pathways, 75 televisits, 500 telephone calls, and nine telesurveillance pathways have been performed. Success rates were high, and patients gave positive feedback. Conclusion: By integrating multiple telemedicine activities, it has been possible to better manage complex patients, keep track of disease progression, and improve their participation in care.

Sodium nitroprusside infusion in patients with advanced heart failure.

AIMS: Advanced heart failure (AdvHF) poses significant treatment challenges, particularly when mechanical circulatory support or transplant options are unavailable, highlighting a gap in evidence-based medical management. The aim of this study was to evaluate the safety and effectiveness of sodium nitroprusside infusion (SNP) for enhancing systemic and renal perfusion in patients with AdvHF, with or without concomitant inotropic support. METHODS AND RESULTS: We retrospectively analyzed the medical records of 406 patients with AdvHF admitted between October 2014 and September 2018 who received nocturnal SNP infusions for at least one week. In 55 patients with symptomatic hypotension or signs of peripheral hypoperfusion (differential systemic BP < 15 mmHg), continuous dobutamine infusion was added. In a subset of 155 patients who required multiple hospitalizations (median 3), data from the last hospitalization were used. No symptomatic hypotension leading to discontinuation of SNP (mean dose: 0.5 ±â€¯0.1 µg/kg/min) was reported. Patients showed a significant increase in differential systemic blood pressure after infusion (29.2 ±â€¯8.1 to 36.8 ±â€¯11.6 mmHg, p < 0.001) independent of dobutamine use. Administration of SNP and dobutamine resulted in greater weight loss compared to SNP alone (-5.33 ±â€¯7.02 vs -3.32 ±â€¯4.0 kg, p < 0.003), but it was also associated with a significant increase in creatinine levels compared to SNP alone (+0.24 ±â€¯0.87 vs +0.02 ±â€¯0.43, p = 0.005). CONCLUSIONS: The results show that SNP is a safe therapeutic choice in AdvHF patients with or without concomitant inotropic support and highlight the potential efficacy of nitroprusside in improving systemic and renal perfusion in these advanced patients.

Multimodality imaging for the evaluation and management of patients with long-term (durable) left ventricular assist devices A Clinical Consensus Statement of the European Association of Cardiovascular Imaging (EACVI) of the ESC.

Left ventricular assist devices (LVADs) are gaining increasing importance as therapeutic strategy in advanced heart failure (HF), not only as bridge to recovery or to transplant, but also as destination therapy. Even though long-term LVADs are considered a precious resource to expand the treatment options and improve clinical outcome these patients, these are limited by peri-operative and post-operative complications, such as device-related infections, haemocompatibility-related events, device mispositioning and right ventricular failure. For this reason, a precise pre-operative, peri-operative and post-operative evaluation of these patients is crucial for the selection of LVADs candidates and the management LVADs recipients. The use of different imaging modalities offers important information to complete the study of patients with LVADs in each phase of their assessment, with peculiar advantages/disadvantages, ideal application and reference parameters for each modality. This clinical consensus statement sought to guide the use of multimodality imaging for the evaluation of patients with advanced HF undergoing LVADs implantation.

Anti-obesity medications in the management of heart failure with preserved ejection fraction: available evidence and next STEPS.

Obesity is associated with an increased risk of incident heart failure with preserved ejection fraction (HFpEF) and, among patients with existing heart failure, is associated with worse quality of life, higher symptom burden, and more HF hospitalizations. Anti-obesity medication (AOM) semaglutide has been shown to be efficacious at both causing intentional weight loss and improving HF symptom burden, with some evidence to suggest that HF clinical events may also be reduced. Additional ongoing trials of AOM in patients with cardiovascular disease, including HFpEF, will further improve insight into the potential role of managing obesity to improve HF status among patients with HFpEF and obesity.

Intravenous iron therapy for heart failure and iron deficiency: An updated meta-analysis of randomized clinical trials.

Heart failure (HF) patients frequently exhibit iron deficiency, which is associated with a poor prognosis. Although various trials have been conducted, it is uncertain if intravenous (IV) iron replenishment improves clinical outcomes in HF patients with iron deficiency. A comprehensive literature search was conducted using PubMed/MEDLINE, Embase, and the Cochrane Library from inception till 15 September 2023 to retrieve randomized controlled trials (RCTs) that compared IV iron therapy with placebo or standard of care in patients with HF and iron deficiency. Clinical outcomes were assessed by generating forest plots using the random-effects model and pooling odds ratios (ORs) or weighted mean differences (WMDs). Fourteen RCTs with 6651 patients were included. IV iron therapy showed a significantly reduced incidence of the composite of first heart failure hospitalization (HHF) or cardiovascular (CV) mortality as compared with the control group (OR = 0.73, 95% CI: 0.58 to 0.92). The IV iron therapy resulted in a trend towards lower CV mortality (OR = 0.88, 95% CI: 0.76 to 1.01), 1-year all-cause mortality (OR = 0.85, 95% CI: 0.71 to 1.02), and first HHF (OR = 0.73, 95% CI: 0.51 to 1.05), and an improved left ventricular ejection fraction (LVEF) (MD = 4.54, 95% CI: -0.13 to 9.21). Meta-regression showed a significant inverse moderating effect of baseline LVEF on the first HHF or CV death. In patients with HF and iron deficiency, IV iron therapy reduced the incidence of composite of first HHF or CV mortality. There was a trend of lower overall CV and 1-year all-cause mortality, first HHF, and improved LVEF with IV iron therapy.

Long-term outcomes of phenoclusters in preclinical heart failure with preserved and mildly reduced ejection fraction.

AIMS: The identification of subjects at higher risk for incident heart failure (HF) with preserved ejection fraction (EF) suitable for more intensive preventive programmes remains challenging. We applied phenomapping to the DAVID-Berg population, comprising subjects with preclinical HF, aiming to refine HF risk stratification. METHODS: The DAVID-Berg study prospectively enrolled 596 asymptomatic outpatients with EF > 40% with hypertension, diabetes mellitus or known cardiovascular disease. In this cohort, we performed an unsupervised cluster analysis on 591 patients, including clinical, laboratory, electrocardiographic and echocardiographic parameters. We tested the association between each cluster and a composite outcome of HF/death. RESULTS: The median age was 70 years, 55.5% were males and the median EF was 61.0%. Phenomapping provided three different clusters. Subjects in Cluster 3 were the oldest and had the highest prevalence of atrial fibrillation, the lowest estimated glomerular filtration rate (eGFR), the highest N-terminal pro-brain natriuretic peptide (NT-proBNP) and the largest left atrium. During a median follow-up of 5.7 years, 13.4% of subjects experienced HF/death events (N = 79). Compared with Clusters 1 and 2, Cluster 3 had the worst prognosis (log-rank test: Cluster 3 vs. 1 P < 0.001; Cluster 3 vs. 2 P = 0.008). Cluster 3 was associated with a risk of HF/death 2.5 times higher than Cluster 1 [adjusted hazard ratio (HR) = 2.46, 95% confidence interval (CI) 1.24-4.90]. CONCLUSIONS: Based on phenomapping, older patients with lower kidney function and worse diastolic function might represent a subset of preclinical HF with EF > 40% who deserve more efforts to prevent clinical HF.