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Aims: The 4822 patients randomized in the PARAGON‐HF trial were a subset of 5746 initially eligible patients who entered sequential run‐in periods. We identified patient factors associated with study discontinuation during the run‐in period and estimated the implications of these discontinuations for the overall study result. Methods and results: We utilized multivariable logistic regression models to identify patient factors associated with study discontinuation during the run‐in period. The efficacy of sacubitril/valsartan in a broader cohort approximating the full run‐in population was estimated by weighting randomized patients according to the inverse probability of run‐in completion. A total of 924 (16.1%) subjects failed to complete the run‐in period. In multivariable models, non‐completion was associated with region other than Central Europe, lower systolic blood pressure, lower serum sodium, lower haemoglobin, lower estimated glomerular filtration rate, higher N‐terminal pro‐B‐type natriuretic peptide, higher New York Heart Association functional class, prior heart failure (HF) hospitalization, and lack of prior use of renin–angiotensin system inhibitors or beta‐blocker. In repeat analysis of the effect of randomized treatment in PARAGON‐HF giving greater weight to participants resembling those who failed to complete the run‐in period, the incidence of HF hospitalizations and cardiovascular death was higher, and sacubitril/valsartan treatment reduced the composite of total HF hospitalizations and cardiovascular death compared with valsartan (rate ratio 0.86; 95% confidence interval 0.74–1.00). Conclusion: Patients with more advanced HF were at higher risk for non‐completion of the run‐in period in PARAGON‐HF. Re‐analysis of study outcomes accounting for the effect of run‐in non‐completion did not alter the estimated treatment effects of sacubitril/valsartan vs. valsartan. [ABSTRACT FROM AUTHOR]

Aims: We examined the prognostic importance of N-terminal pro B-type natriuretic peptide (NT-proBNP) and troponin T (TnT) in heart failure patients with and without diabetes.Methods and Results: We measured NT-proBNP and TnT in the biomarker substudy of the Prospective Comparison of ARNI With ACEI to Determine Impact on Global Mortality and Morbidity in Heart Failure trial (PARADIGM-HF). Of 1907 patients, 759 (40%) had diabetes. Median TnT in patients with diabetes was 18 (interquartile range 11-27) ng/L and 13 (9-21) ng/L in those without (P < 0.001). The TnT frequency-distribution curve was shifted to the right in patients with diabetes, compared to those without diabetes. By contrast, NT-proBNP did not differ between patients with and without diabetes. Diabetes and each biomarker were predictive of worse outcomes. Thus, patients with diabetes, an elevated TnT and a NT-proBNP level in the highest tertile (9% of all patients) had an absolute risk of cardiovascular death or heart failure hospitalization of 265 per 1000 person-years, compared to a rate of 42 per 1000 person-years in those without diabetes, a TnT < 18 ng/L and a NT-proBNP in the lowest tertile (16% of all patients). TnT remained an independent predictor of adverse outcomes in multivariable analyses including NT-proBNP.Conclusion: TnT is elevated to a greater extent in heart failure patients with diabetes compared to those without (whereas NT-proBNP is not). TnT and NT-proBNP are additive in predicting risk and when combined help identify diabetes patients at extremely high absolute risk. [ABSTRACT FROM AUTHOR]

Objective: Plasma concentrations of B-type natriuretic peptide (BNP) and troponin are often measured for diagnostic purposes when patients are admitted with heart failure, but their prognostic value when measured soon after admission is uncertain. We aimed to investigate the added prognostic value of admission measurements of BNP and troponins in patients with acute heart failure.Methods and Results: Multivariable prognostic models for death or any worsening heart failure (WHF) or rehospitalization for WHF by 30 days, 30-day death or rehospitalization for WHF, and 90-day mortality were constructed using baseline data from the Value of Endothelin Receptor Inhibition with Tezosentan in Acute heart failure Studies (VERITAS) including BNP and troponin I. Of 1347 patients, the median (interquartile range) value of BNP was 422 (156-945) pg/mL and 855 (63%) had measurable troponin I. By 30 days, 432 patients had died or experienced WHF. Clinical variables had only moderate predictive performance that was not substantially improved by BNP or troponin I (c-indices 0.6528 and 0.6595, respectively). By 30 days, 150 patients died or were rehospitalized for WHF. The c-index using clinical variables (0.6855) was not improved by adding biomarkers. By 90 days, 135 patients had died. The c-index for mortality was somewhat better than for composite outcomes (0.7394) but improved little with biomarkers (0.7461).Conclusion: Routine clinical data recorded at the time of admission in patients with acute heart failure are poor at predicting recurrent admissions but somewhat better at predicting mortality. Neither BNP nor troponin measured at admission improved predictions; measurement closer to discharge, or of other novel biomarkers, might perform differently. [ABSTRACT FROM AUTHOR]

Aims: Although hypokalaemia is common among patients with heart failure (HF), the prognostic significance of baseline hypokalaemia and hypokalaemia during follow-up in HF patients receiving a mineralocorticoid receptor antagonist (MRA) remains uncertain.Methods and Results: Results of the EMPHASIS-HF trial in patients (n = 2737) with HF and reduced EF with mild symptoms, randomized to eplerenone or placebo, were analysed with regard to the presence or occurrence of hypokalaemia (serum K+ <4.0 mmol/L) and the risk of cardiovascular death or hospitalization for HF (primary endpoint). Median follow-up was 21 months. Baseline hypokalaemia and hypokalaemia during follow-up were common occurrences (19.6% and 40.6%, respectively). Hypokalaemia during follow-up was associated with worse outcomes in multivariable analyses [hazard ratio (HR) 1.26, 95% confidence interval (CI) 1.05-1.52, P = 0.01] without evidence of interaction with eplerenone. In contrast, baseline hypokalaemia was associated with outcomes in the placebo group (HR 1.37, 95% CI 1.05-1.79, P = 0.02) but not in the eplerenone group (HR 0.87, 95% CI 0.62-1.23, P = 0.44; P for interaction = 0.04). Concurrently, eplerenone was found to be more protective in patients with baseline hypokalaemia vs. patients without baseline hypokalaemia compared with placebo (HR 0.44, 95% 0.30-0.64, P < 0.0001 vs. 0.69, 95% CI 0.57-0.83, P = 0.0001; P for interaction = 0.04). In patients without baseline hypokalaemia, eplerenone use decreased the rate of hypokalaemia during follow-up (HR 0.69, 95% CI 0.59-0.80, P < 0.001). A potassium level >4.0 mmol/L at 1 month after randomization mediated 26.0% (0.6-51.4%) of the eplerenone treatment effect (P = 0.04).Conclusion: In HF patients receiving optimal therapy but not treated with eplerenone, baseline hypokalaemia was associated with worse outcomes. Conversely, hypokalaemia amplified the treatment effect of eplerenone. [ABSTRACT FROM AUTHOR]