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Aim: Among patients discharged after hospitalization for heart failure (HF), a strategy of torsemide versus furosemide showed no difference in all‐cause mortality or hospitalization. Clinicians have traditionally favoured torsemide in the setting of kidney dysfunction due to better oral bioavailability and longer half‐life, but direct supportive evidence is lacking. Methods and results: The TRANSFORM‐HF trial randomized patients hospitalized for HF to a long‐term strategy of torsemide versus furosemide, and enrolled patients across the spectrum of renal function (without dialysis). In this post‐hoc analysis, baseline renal function during the index hospitalization was assessed as categories of estimated glomerular filtration rate (eGFR; <30, 30–<60, ≥60 ml/min/1.73 m2). The interaction between baseline renal function and treatment effect of torsemide versus furosemide was assessed with respect to mortality and hospitalization outcomes, and the change in Kansas City Cardiomyopathy Questionnaire clinical summary score (KCCQ‐CSS). Of 2859 patients randomized, 336 (11.8%) had eGFR <30 ml/min/1.73 m2, 1138 (39.8%) had eGFR 30–<60 ml/min/1.73 m2, and 1385 (48.4%) had eGFR ≥60 ml/min/1.73 m2. Baseline eGFR did not modify treatment effects of torsemide versus furosemide on all adverse clinical outcomes including individual components or composites of all‐cause mortality and all‐cause (re)‐hospitalizations, both when assessing eGFR categorically or continuously (p‐value for interaction all >0.108). Similarly, no treatment effect modification by eGFR was found for the change in KCCQ‐CSS (p‐value for interaction all >0.052) when assessing eGFR categorically or continuously. Conclusion: Among patients discharged after hospitalization for HF, there was no significant difference in clinical and patient‐reported outcomes between torsemide and furosemide, irrespective of renal function. [ABSTRACT FROM AUTHOR]

Aim: Phenylacetylglutamine (PAGln) is a phenylalanine‐derived metabolite produced by gut microbiota with mechanistic links to heart failure (HF)‐relevant phenotypes. We sought to investigate the prognostic value of PAGln in patients with stable HF. Methods and results: Fasting plasma PAGln levels were measured by stable‐isotope‐dilution liquid chromatography–tandem mass spectrometry (LC‐MS/MS) in patients with stable HF from two large cohorts. All‐cause mortality was assessed at 5‐year follow‐up in the Cleveland cohort, and HF, hospitalization, or mortality were assessed at 3‐year follow‐up in the Berlin cohort. Within the Cleveland cohort, median PAGln levels were 4.2 (interquartile range [IQR] 2.4–6.9) μM. Highest quartile of PAGln was associated with 3.09‐fold increased mortality risk compared to lowest quartile. Following adjustments for traditional risk factors, as well as race, estimated glomerular filtration rate, amino‐terminal pro‐B‐type natriuretic peptide, high‐sensitivity C‐reactive protein, left ventricular ejection fraction, ischaemic aetiology, and HF drug treatment, elevated PAGln levels remained predictive of 5‐year mortality in quartile comparisons (adjusted hazard ratio [HR] [95% confidence interval, CI] for Q4 vs Q1: 1.64 [1.07–2.53]). In the Berlin cohort, a similar distribution of PAGln levels was observed (median 3.2 [IQR 2.0–4.8] μM), and PAGln levels were associated with a 1.92‐fold increase in 3‐year HF hospitalization or all‐cause mortality risk (adjusted HR [95% CI] for Q4 vs Q1: 1.92 [1.02‐3.61]). Prognostic value of PAGln appears to be independent of trimethylamine N‐oxide levels. Conclusion: High levels of PAGln are associated with adverse outcomes independent of traditional cardiac risk factors and cardio‐renal risk markers. [ABSTRACT FROM AUTHOR]

Aims: To evaluate the performance of the WATCH‐DM risk score, a clinical risk score for heart failure (HF), in patients with dysglycaemia and in combination with natriuretic peptides (NPs). Methods and results: Adults with diabetes/pre‐diabetes free of HF at baseline from four cohort studies (ARIC, CHS, FHS, and MESA) were included. The machine learning‐ [WATCH‐DM(ml)] and integer‐based [WATCH‐DM(i)] scores were used to estimate the 5‐year risk of incident HF. Discrimination was assessed by Harrell's concordance index (C‐index) and calibration by the Greenwood–Nam–D'Agostino (GND) statistic. Improvement in model performance with the addition of NP levels was assessed by C‐index and continuous net reclassification improvement (NRI). Of the 8938 participants included, 3554 (39.8%) had diabetes and 432 (4.8%) developed HF within 5 years. The WATCH‐DM(ml) and WATCH‐DM(i) scores demonstrated high discrimination for predicting HF risk among individuals with dysglycaemia (C‐indices = 0.80 and 0.71, respectively), with no evidence of miscalibration (GND P ≥0.10). The C‐index of elevated NP levels alone for predicting incident HF among individuals with dysglycaemia was significantly higher among participants with low/intermediate (<13) vs. high (≥13) WATCH‐DM(i) scores [0.71 (95% confidence interval 0.68–0.74) vs. 0.64 (95% confidence interval 0.61–0.66)]. When NP levels were combined with the WATCH‐DM(i) score, HF risk discrimination improvement and NRI varied across the spectrum of risk with greater improvement observed at low/intermediate risk [WATCH‐DM(i) <13] vs. high risk [WATCH‐DM(i) ≥13] (C‐index = 0.73 vs. 0.71; NRI = 0.45 vs. 0.17). Conclusion: The WATCH‐DM risk score can accurately predict incident HF risk in community‐based individuals with dysglycaemia. The addition of NP levels is associated with greater improvement in the HF risk prediction performance among individuals with low/intermediate risk than those with high risk. [ABSTRACT FROM AUTHOR]

Aims: In Aldosterone Targeted Neurohormonal Combined with Natriuresis Therapy in Heart Failure (ATHENA-HF), high-dose spironolactone (100 mg daily) did not improve efficacy endpoints over usual care [placebo or continued low-dose spironolactone (25 mg daily) in patients already receiving spironolactone] in the treatment of acute heart failure (HF). We hypothesized that low concentrations of the long-acting active metabolites of spironolactone [canrenone and 7α-thiomethylspironolactone (7α-TMS)] in the high-dose group could have contributed to these neutral results.Methods and Results: In patients randomized to high-dose spironolactone not previously treated with spironolactone (high-dose-naïve, n = 112), concentrations of canrenone and 7α-TMS increased at 48 and 96 h compared to baseline, and between 48 and 96 h (all P < 0.005), indicating that steady-state concentrations had not been reached by 48 h. In patients previously on low-dose, high-dose spironolactone (high-dose-previous, n = 37), concentrations of canrenone increased at 48 and 96 h compared to baseline (both P < 0.0005), with a marginal increase between 48 and 96 h (P = 0.0507). At 48 h, both high-dose groups had higher concentrations of both metabolites than the low-dose spironolactone group (P < 0.0001). Moreover, concentrations of both metabolites were higher in high-dose-previous vs. high-dose-naïve patients (P < 0.01), indicating that previous spironolactone use was significant, and that steady-state has not been reached in high-dose-naïve patients at 48 h. We found limited and inconsistent evidence of correlation between metabolite concentrations and endpoints.Conclusions: Lower-than-anticipated concentrations of spironolactone active metabolites were observed for at least 48 h in the high-dose spironolactone group and may have contributed to the absence of pharmacological effects of spironolactone in the ATHENA-HF trial. [ABSTRACT FROM AUTHOR]

Aim: To identify distinct phenotypic subgroups in a highly-dimensional, mixed-data cohort of individuals with heart failure (HF) with preserved ejection fraction (HFpEF) using unsupervised clustering analysis.Methods and Results: The study included all Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) participants from the Americas (n = 1767). In the subset of participants with available echocardiographic data (derivation cohort, n = 654), we characterized three mutually exclusive phenogroups of HFpEF participants using penalized finite mixture model-based clustering analysis on 61 mixed-data phenotypic variables. Phenogroup 1 had higher burden of co-morbidities, natriuretic peptides, and abnormalities in left ventricular structure and function; phenogroup 2 had lower prevalence of cardiovascular and non-cardiac co-morbidities but higher burden of diastolic dysfunction; and phenogroup 3 had lower natriuretic peptide levels, intermediate co-morbidity burden, and the most favourable diastolic function profile. In adjusted Cox models, participants in phenogroup 1 (vs. phenogroup 3) had significantly higher risk for all adverse clinical events including the primary composite endpoint, all-cause mortality, and HF hospitalization. Phenogroup 2 (vs. phenogroup 3) was significantly associated with higher risk of HF hospitalization but a lower risk of atherosclerotic event (myocardial infarction, stroke, or cardiovascular death), and comparable risk of mortality. Similar patterns of association were also observed in the non-echocardiographic TOPCAT cohort (internal validation cohort, n = 1113) and an external cohort of patients with HFpEF [Phosphodiesterase-5 Inhibition to Improve Clinical Status and Exercise Capacity in Heart Failure with Preserved Ejection Fraction (RELAX) trial cohort, n = 198], with the highest risk of adverse outcome noted in phenogroup 1 participants.Conclusions: Machine learning-based cluster analysis can identify phenogroups of patients with HFpEF with distinct clinical characteristics and long-term outcomes. [ABSTRACT FROM AUTHOR]

This review discusses renal sodium handling in heart failure. Increased sodium avidity and tendency to extracellular volume overload, i.e. congestion, are hallmark features of the heart failure syndrome. Particularly in the case of concomitant renal dysfunction, the kidneys often fail to elicit potent natriuresis. Yet, assessment of renal function is generally performed by measuring serum creatinine, which has inherent limitations as a biomarker for the glomerular filtration rate ( GFR). Moreover, glomerular filtration only represents part of the nephron's function. Alterations in the fractional reabsorptive rate of sodium are at least equally important in emerging therapy-refractory congestion. Indeed, renal blood flow decreases before the GFR is affected in congestive heart failure. The resulting increased filtration fraction changes Starling forces in peritubular capillaries, which drive sodium reabsorption in the proximal tubules. Congestion further stimulates this process by augmenting renal lymph flow. Consequently, fractional sodium reabsorption in the proximal tubules is significantly increased, limiting sodium delivery to the distal nephron. Orthosympathetic activation probably plays a pivotal role in those deranged intrarenal haemodynamics, which ultimately enhance diuretic resistance, stimulate neurohumoral activation with aldosterone breakthrough, and compromise the counter-regulatory function of natriuretic peptides. Recent evidence even suggests that intrinsic renal derangements might impair natriuresis early on, before clinical congestion or neurohumoral activation are evident. This represents a paradigm shift in heart failure pathophysiology, as it suggests that renal dysfunction-although not by conventional GFR measurements-is driving disease progression. In this respect, a better understanding of renal sodium handling in congestive heart failure is crucial to achieve more tailored decongestive therapy, while preserving renal function. [ABSTRACT FROM AUTHOR]

Aims Methods and results Conclusions The clinical utility of pulmonary hypertension (PH) risk scores in non‐group 1 PH with pulmonary vascular disease (PVD) remains unresolved.We utilized the prospective multicenter PVDOMICS cohort with group 2, 3, 4 or 5 PH‐related PVD and calculated group 1 PH risk scores (REVEAL 2.0, REVEAL Lite 2, French registry score and COMPERA 2). The c‐statistic to predict death was compared separately in (i) pre‐capillary PH groups 3/4/5, and (ii) combined post‐ and pre‐capillary PH group 2. Exercise right heart catheterization reserve, ventricular interdependence and right ventricular–pulmonary artery (RV‐PA) coupling were compared across risk categories. Among 449 individuals with group 3/4/5 PH, the REVEAL 2.0 risk score had the highest c‐statistic for predicting death (0.699, 95% confidence interval [CI] 0.660–0.737, p < 0.0001) with comparable performance using the simpler REVEAL Lite 2 score (0.695, 95% CI 0.656–0.734, p < 0.0001). The French and COMPERA 2 risk scores were also predictive of mortality, but performance of both was statistically inferior to REVEAL 2.0 (c‐statistic difference −0.072, 95% CI −0.123 to −0.020, p = 0.006, and −0.043, 95% CI −0.067 to −0.018, p = 0.0007, respectively). RV function and RV‐PA coupling measures were prognostic in isolation, but did not add incremental value to REVEAL (p > 0.50 for all). Findings were similar in patients with group 2 PH (n = 239). Stratification by the REVEAL Lite 2 score non‐invasively identified non‐group 1 PH with more advanced PVD with worse exercise capacity, RV‐PA uncoupling, ventricular interdependence and impaired cardiac output reserve (p < 0.05 for all).Non‐invasive REVEAL risk predicts mortality in non‐group 1 PH without incremental prognostic value from detailed RV function or RV‐PA coupling assessment. Baseline REVEAL Lite 2 risk stratification non‐invasively identifies greater pulmonary vascular dysfunction and right heart‐related exercise limitation, which may help guide patient selection for targeted pulmonary vascular therapies in non‐group 1 PH. [ABSTRACT FROM AUTHOR]