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Heart failure (HF) with preserved ejection fraction (HFpEF) causes a progressive limitation of functional capacity, poor quality of life (QoL) and increased mortality, yet unlike HF with reduced ejection fraction (HFrEF) there are no effective device-based therapies. Both HFrEF and HFpEF are associated with dysregulations in myocardial cellular calcium homeostasis and modifications in calcium-handling proteins, leading to abnormal myocardial contractility and pathological remodelling. Cardiac contractility modulation (CCM) therapy, based on a pacemaker-like implanted device, applies extracellular electrical stimulation to myocytes during the absolute refractory period of the action potential, which leads to an increase in cytosolic peak calcium concentrations and thereby the force of isometric contraction promoting positive inotropism. Subgroup analysis of CCM trials in HFrEF has demonstrated particular benefits in patients with LVEF between 35% and 45%, suggesting its potential effectiveness also in patients with higher LVEF values. Available evidence on CCM in HFpEF is still preliminary, but improvements in terms of symptoms and QoL have been observed. Future large, dedicated, prospective studies are needed to evaluate the safety and efficacy of this therapy in patients with HFpEF., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

This paper describes the AEOLUS pilot study which combines breath analysis with cardiopulmonary exercise testing (CPET) and an echocardiographic examination for monitoring heart failure (HF) patients. Ten consecutive patients with a prior clinical diagnosis of HF with reduced left ventricular ejection fraction were prospectively enrolled together with 15 control patients with cardiovascular risk factors, including hypertension, type II diabetes or chronic ischemic heart disease. Breath samples were collected at rest and during CPET coupled with exercise stress echocardiography (CPET-ESE) protocol by means of needle trap micro-extraction and were analyzed through gas-chromatography coupled with mass spectrometry. The protocol also involved using of a selected ion flow tube mass spectrometer for a breath-by-breath isoprene and acetone analysis during exercise. At rest, HF patients showed increased breath levels of acetone and pentane, which are related to altered oxidation of fatty acids and oxidative stress, respectively. A significant positive correlation was observed between acetone and the gold standard biomarker NT-proBNP in plasma ( r = 0.646, p < 0.001), both measured at rest. During exercise, some exhaled volatiles (e.g., isoprene) mirrored ventilatory and/or hemodynamic adaptation, whereas others (e.g., sulfide compounds and 3-hydroxy-2-butanone) depended on their origin. At peak effort, acetone levels in HF patients differed significantly from those of the control group, suggesting an altered myocardial and systemic metabolic adaptation to exercise for HF patients. These preliminary data suggest that concomitant acquisition of CPET-ESE and breath analysis is feasible and might provide additional clinical information on the metabolic maladaptation of HF patients to exercise. Such information may refine the identification of patients at higher risk of disease worsening., (Creative Commons Attribution license.)

Objectives: To evaluate the diagnostic performance of N-terminal pro-B-type natriuretic peptide (NT-proBNP) thresholds for acute heart failure and to develop and validate a decision support tool that combines NT-proBNP concentrations with clinical characteristics., Design: Individual patient level data meta-analysis and modelling study., Setting: Fourteen studies from 13 countries, including randomised controlled trials and prospective observational studies., Participants: Individual patient level data for 10 369 patients with suspected acute heart failure were pooled for the meta-analysis to evaluate NT-proBNP thresholds. A decision support tool (Collaboration for the Diagnosis and Evaluation of Heart Failure (CoDE-HF)) that combines NT-proBNP with clinical variables to report the probability of acute heart failure for an individual patient was developed and validated., Main Outcome Measure: Adjudicated diagnosis of acute heart failure., Results: Overall, 43.9% (4549/10 369) of patients had an adjudicated diagnosis of acute heart failure (73.3% (2286/3119) and 29.0% (1802/6208) in those with and without previous heart failure, respectively). The negative predictive value of the guideline recommended rule-out threshold of 300 pg/mL was 94.6% (95% confidence interval 91.9% to 96.4%); despite use of age specific rule-in thresholds, the positive predictive value varied at 61.0% (55.3% to 66.4%), 73.5% (62.3% to 82.3%), and 80.2% (70.9% to 87.1%), in patients aged <50 years, 50-75 years, and >75 years, respectively. Performance varied in most subgroups, particularly patients with obesity, renal impairment, or previous heart failure. CoDE-HF was well calibrated, with excellent discrimination in patients with and without previous heart failure (area under the receiver operator curve 0.846 (0.830 to 0.862) and 0.925 (0.919 to 0.932) and Brier scores of 0.130 and 0.099, respectively). In patients without previous heart failure, the diagnostic performance was consistent across all subgroups, with 40.3% (2502/6208) identified at low probability (negative predictive value of 98.6%, 97.8% to 99.1%) and 28.0% (1737/6208) at high probability (positive predictive value of 75.0%, 65.7% to 82.5%) of having acute heart failure., Conclusions: In an international, collaborative evaluation of the diagnostic performance of NT-proBNP, guideline recommended thresholds to diagnose acute heart failure varied substantially in important patient subgroups. The CoDE-HF decision support tool incorporating NT-proBNP as a continuous measure and other clinical variables provides a more consistent, accurate, and individualised approach., Study Registration: PROSPERO CRD42019159407., Competing Interests: Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: support from the British Heart Foundation, Medical Research Council, and Chief Scientist Office; Y-EC has received honorariums for lectures and presentations from Biomérieux, Roche Diagnostics, and Thermo Fisher; CdF has received consulting fees from Fuji Rebio, Ortho Diagnostics, Quidel, and Roche Diagnostics and a patent entitled “Methods for assessing differential risk for developing heart failure” (patent number: PCT/US2015/029838); SS has received a grant from Roche Diagnostics and a patent entitled “Methods for assessing differential risk for developing heart failure” (patent number: PCT/US2015/029838); ABG has received personal fees and non-financial support from Roche Diagnostics during the conduct of the study and personal fees from Abbott and AstraZeneca, grants, personal fees, and non-financial support from Boehringer-Ingelheim, and personal fees and non-financial support from Novartis and Vifor outside the submitted work. YP has received consulting fees from Roche Diagnostics, Pfizer, and Forbion and honorariums from CVOI and Daiichi Sankyo; HKG has received grants from Roche Diagnostics, Jana Care, Ortho Clinical, Novartis, Pfizer, Alnylam, and Akcea (IONIS), consulting fees from Amgen, Eko, Merck, and Pfizer, and stock in Eko; JCW works as a biostatistician at the biotech company BRAHMS GmbH, part of Thermo Fisher Scientific; MM has received grants from Health Care Research Projects and Biomarker Research and personal fees from Consulting outside the submitted work; ASVS has received speaker fees from Abbott Diagnostics outside the submitted work; AMR has received grants, personal fees, and non-financial support from Roche Diagnostics outside the submitted work; JJVM has received consulting fees from Alnylam, AstraZeneca, Bayer, Boehringer Ingelheim, BMS, Cardurion, Dal-Cor, GSK, Ionis, KBP Biosciences, Novartis, Pfizer, and Theracos, payments for advisory boards, symposiums, or lectures from Abbott, Alkem Metabolics, Canadian Medical and Surgical Knowledge Translation Research Group, Eris Lifesciences, Hikma, Lupin, Sun Pharmaceuticals, Medscape/Heart.Org, ProAdWise Communications, Radcliffe Cardiology, Servier, and the Corpus, has participated on a data safety monitoring board or advisory board for Cardialysis (MONITOR study) and Merck (VICTORIA trial), and works as company director for Global Clinical Trial Partners Ltd (GCTP) outside the submitted work; CM has received grants and non-financial support from several diagnostic companies during the conduct of the study and grants, personal fees, and non-financial support from several diagnostic companies outside the submitted work; JJ has received grants from Abbott Diagnostics, Innolife, and Novartis and consulting fees from Abbott, Jana Care, Novartis, Roche Diagnostics, Bristol-Myers Squibb, Janssen, and Prevencio; NLM has received grants from Siemens Healthineers, consulting fees from Roche Diagnostics and LumiraDx, and speaker fees from Abbott Diagnostics and Siemens Healthineers outside the submitted work; KKL, DD, and NLM are employed by the University of Edinburgh, which has filed a patent on the CoDE-HF score (patent reference: PCT/GB2021/051470); no other relationships or activities that could appear to have influenced the submitted work., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ.)

Heart failure (HF) is a complex clinical syndrome characterized by different etiologies and a broad spectrum of cardiac structural and functional abnormalities. Current guidelines suggest a classification based on left ventricular ejection fraction (LVEF), distinguishing HF with reduced (HFrEF) from preserved (HFpEF) LVEF. HF should also be thought of as a continuous range of conditions, from asymptomatic stages to clinically manifest syndrome. The transition from one stage to the next is associated with a worse prognosis. While the rate of HF-related hospitalization is similar in HFrEF and HFpEF once clinical manifestations occur, accurate knowledge of the steps and risk factors leading to HF progression is still lacking, especially in HFpEF. Precise hemodynamic and metabolic characterization of patients with or at risk of HF may help identify different disease trajectories and risk factors, with the potential to identify specific treatment targets that might offset the slippery slope towards overt clinical manifestations. Exercise can unravel early metabolic and hemodynamic alterations that might be silent at rest, potentially leading to improved risk stratification and more effective treatment strategies. Cardiopulmonary exercise testing (CPET) offers valuable aid to investigate functional alterations in subjects with or at risk of HF, while echocardiography can assess cardiac structure and function objectively, both at rest and during exercise (exercise stress echocardiography [ESE]). The purpose of this narrative review was to summarize the potential advantages of using an integrated CPET-ESE evaluation in the characterization of both subjects at risk of developing HF and patients with stable HF.

Aims: In patients with heart failure with reduced ejection fraction (HFrEF), an association between left atrial (LA) dilatation and dysfunction is expected, but the degree of coexistence of the two abnormalities and their relative prognostic role is not known., Methods and Results: A total of 626 HFrEF patients formed the study population. All of them underwent a comprehensive echocardiographic evaluation. LA maximal volume was indexed to body surface area (LAVi); LA function was assessed using strain analysis during the reservoir phase: peak atrial longitudinal strain (PALS) analysis. Study primary endpoint was overall mortality or hospitalization for worsening heart failure. Four groups of patients were included in this study according to LAVi (≤34 or >34 mL/m 2 ) and PALS (≤23% or >23%); 61 (10%) patients had normal LA volume and function (Group 1), 58 (9%) had LA dilatation but normal function (Group 2), 100 (16%) had normal volume but abnormal function (Group 3), and 407 (65%) had enlarged left atrium and abnormal function (Group 4). PALS was associated with primary endpoint in patients with both normal-size [Groups 1 and 3: hazard ratio (HR) 0.92, 95% confidence interval (CI) 0.88-0.96; P = 0.0006] and dilated left atria (Groups 2 and 4: HR 0.93, 95% CI 0.91-0.96; P < 0.0001). In contrast, LAVi was associated with the primary endpoint in patients with abnormal LA function (Groups 3 and 4: HR 1.018, 95% CI 1.011-1.024; P < 0.00001) but not in those with normal PALS (Groups 1 and 2: HR 1.023, 95% CI 0.99-1.057; P = 0.1)., Conclusions: Left atrial dilatation and dysfunction frequently but not invariably coexist. PALS emerged as a significant prognostic parameter in HFrEF even in the absence of LA dilation., (© 2021 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Aims: We evaluated the impact of echocardiographic epicardial adipose tissue (EAT) on cardiovascular haemodynamics, metabolic profile and prognosis in heart failure (HF) using combined cardiopulmonary-echocardiography exercise stress., Methods and Results: We analysed EAT thickness of HF patients with reduced (HFrEF, n = 205) and preserved (HFpEF, n = 188) ejection fraction, including 44 controls. HFpEF patients displayed the highest EAT, while HFrEF patients had lower values than controls. EAT showed an inverse correlation with natriuretic peptides, troponin T and C-reactive protein in HFrEF, while having a direct association with troponin T and C-reactive protein in HFpEF. EAT was independently associated with peak oxygen consumption (VO 2 ) and peripheral extraction (AVO 2 diff), regardless of body mass index. EAT was inversely correlated with peak VO 2 and AVO 2 diff in HFpEF, while a direct association was observed in HFrEF, where lower EAT values were associated with worse left ventricular systolic dysfunction. In HFpEF, increased EAT was related to right ventriculo-arterial (tricuspid annular plane systolic excursion/systolic pulmonary artery pressure) uncoupling. After 21 months of follow-up, 146 HF hospitalizations and 34 cardiovascular deaths were recorded in the HF population. Cox multivariable analysis supported an independent differential role of EAT in HF cohorts (interaction P = 0.01): higher risk of adverse events for increasing EAT in HFpEF [hazard ratio (HR) 1.12, 95% confidence interval (CI) 1.04-1.37] and for decreasing EAT in HFrEF (HR 0.75, 95% CI 0.54-0.91)., Conclusion: In HFpEF, EAT accumulation is associated with worse haemodynamic and metabolic profile, also affecting survival. Conversely, lower EAT values imply higher left ventricular dysfunction, global functional impairment and adverse prognosis in HFrEF., (© 2021 European Society of Cardiology.)

Aims: Chronic kidney dysfunction (CKD) and persistent congestion influence heart failure prognosis, but little is known about the role of inflammation in this association. We assessed the relationship between inflammatory biomarkers, persistent congestion and CKD and their prognostic implications in patients with acute heart failure., Methods: We enrolled 97 hospitalised patients (mean age: 66 ± 12 years, ejection fraction: 30 ± 8%) with acute heart failure. Before discharge, congestion was assessed using a heart failure scoring system on the basis of Framingham criteria. Circulating levels of high-sensitivity C-reactive protein, TGF-β-1, IL-1, IL-6, IL-10, TNF-α, soluble tumour necrosis factor receptor type 1 and 2 were measured. Patients were divided into four groups according to the presence of CKD (estimated glomerular filtration rate <60 ml/min/1.73 m) and congestion (Framingham heart failure score ≥2). The primary end point was the combination of death and rehospitalisation for acute heart failure., Results: During a median follow-up of 32 months, 37 patients died and 14 were rehospitalised for acute heart failure. Patients with CKD and congestion had significantly higher TNF-α (P = 0.037), soluble tumour necrosis factor receptor type 1 (P = 0.0042) and soluble tumour necrosis factor receptor type 2 (P = 0.001), lower TGF-β-1 (P = 0.02) levels, and the worst outcome (P < 0.0001). Congestion (P = 0.01) and CKD (P = 0.02) were independent predictors of the end-point together with N-terminal prohormone of brain natriuretic peptide (P = 0.002) and TNF-α (P = 0.004). TNF-α attenuated the direct relation between CKD, congestion and outcome, explaining 40% of the difference in the outcome., Conclusion: In patients hospitalised with acute heart failure, the prognostic impact of persistent congestion and CKD is associated with increased cytokine levels, which may also interfere with the outcome.

Aim: We combined cardiopulmonary exercise test (CPET) and exercise stress echocardiography (ESE) to identify early haemodynamic and metabolic alterations in patients with hypertension (HT) with and without heart failure with preserved ejection fraction (HFpEF)., Methods and Results: Fifty stable HFpEF-HT outpatients (mean age 68 ± 14 years) on optimal medical therapy, 63 well-controlled HT subjects (mean age 63 ± 11 years) and 32 age and sex-matched healthy controls (mean age 59 ± 15 years) underwent a symptom-limited graded ramp bicycle CPET-ESE. The acquisition protocol included left ventricular cardiac output, global longitudinal strain, E/e', peak oxygen consumption (VO 2 ), non-invasive arterial-venous oxygen content difference (AVO 2 diff) and lung ultrasound B-lines. There was a decline in peak VO 2 from controls (24.4 ± 3 mL/min/kg) to HFpEF-HT (15.2 ± 2 mL/min/kg), passing through HT (18.7 ± 2 mL/min/kg; P < 0.0001). HFpEF-HT displayed a lower peak cardiac output (9.8 ± 0.9 L/min) compared to HT (12.6 ± 1.0 L/min; P = 0.02) and controls (13.3 ± 1.0 L/min; P = 0.01). Peak AVO 2 diff was reduced in HFpEF-HT and HT (13.3 ± 2 and 13.5 ± 2 mL/dL vs. controls: 16.9 ± 2 mL/dL; P < 0.0001). A different left ventricular contractility was observed among groups, expressed as low-load global longitudinal strain (-16.8 ± 5% in HFpEF-HT, -18.2 ± 3% in HT, and 20.9 ± 3% in controls; P < 0.0001), and distribution of E/e' and B-lines [HFpEF-HT: 13.7 ± 3 and 16, interquartile range (IQR) 10-22; HT: 9.5 ± 2 and 8, IQR 4-10; controls: 6.2 ± 2 and 0, IQR 0-2; P < 0.0001]., Conclusions: Reduced peak VO 2 values in HT with and without HFpEF may be the result of decreased AVO 2 diff. CPET-ESE can also identify mild signs of left ventricular systo-diastolic dysfunction and pulmonary congestion, promoting advances in personalized therapy., (© 2020 European Society of Cardiology.)

Background: We investigated the role of the dynamic changes of pulmonary congestion, as assessed by sonographic B-lines, as a tool to stratify prognosis in patients admitted for acute heart failure with reduced and preserved ejection fraction (HFrEF, HFpEF). Methods: In this multicenter, prospective study, lung ultrasound was performed at admission and before discharge by trained investigators, blinded to clinical findings. Results: We enrolled 208 consecutive patients (mean age 76 [95% confidence interval, 70–84] years), 125 with HFrEF, 83 with HFpEF (mean ejection fraction 32% and 57%, respectively). The primary composite endpoint of cardiovascular death or HF re-hospitalization occurred in 18% of patients within 6 months. In the overall population, independent predictors of the occurrence of the primary endpoint were the number of B-lines at discharge, NT-proBNP levels, moderate-to-severe mitral regurgitation, and inferior vena cava diameter on admission. B-lines at discharge were the only independent predictor in both HFrEF and HFpEF subgroups. A cut-off of B-lines > 15 at discharge displayed the highest accuracy in predicting the primary endpoint (AUC = 0.80, p < 0.0001). Halving B-lines during hospitalization further improved event classification (continuous net reclassification improvement = 22.8%, p = 0.04). Conclusions: The presence of residual subclinical sonographic pulmonary congestion at discharge predicts 6-month clinical outcomes across the whole spectrum of acute HF patients, independent of conventional biohumoral and echocardiographic parameters. Achieving effective pulmonary decongestion during hospitalization is associated with better outcomes. [ABSTRACT FROM AUTHOR]

We present an innovative, reliable, and antibody-free analytical method to determine multiple intact natriuretic peptides in human plasma. These biomolecules are routinely used to confirm the diagnosis and monitor the evolution of heart failure, so that their determination is essential to improve diagnosis and monitor the efficacy of treatment. However, common immunoassay kits suffer from main limitations due to high cross-reactivity with structurally similar species. In our method, we pre-treated the sample by combining salting-out with ammonium sulfate with microextraction by packed sorbent technique. Analyses were then carried out by ultra-high performance liquid chromatography-electrospray ionization-tandem mass spectrometry. The use of 3-nitrobenzyl alcohol as a supercharger reagent enhanced the ESI ionization and improved the signal-to-noise ratio. The analytical protocol showed good linearity over one order of magnitude, recovery in the range of 94–105 %, and good intra- and inter-day reproducibility (RSD<20 %), and the presence of a matrix effect. Limits of detection were in the range of pg/mL for all peptides (0.2–20 pg/mL). Stability study in plasma samples demonstrated that proper protease inhibitors need to be included in blood collection tubes to avoid peptide degradation. Preliminary analyses on plasma samples from heart failure patients allow the quantification of ANP 1–28 as the most abundant species and the detection of ANP 5–28, BNP 1–32, and BNP 5–32. The method could be used to investigate how cross-reactivity issues among structurally similar species impact determinations by ELISA kits. [Display omitted] • A reliable analytical platform for determining natriuretic peptides in human plasma. • Supercharger reagent enhances peptide ionization and method sensitivity. • ANP 1–28, ANP 5–28, BNP 1–32 and BNP 5–32 were detected in HF plasma samples. [ABSTRACT FROM AUTHOR]