Search

Aims: To provide insights into pathogenesis of disease progression and potential novel treatment targets for patients with heart failure by investigation of the plasma proteome using network analysis.Methods and Results: The plasma proteome of 50 patients with heart failure who died or were rehospitalised were compared with 50 patients with heart failure, matched for age and sex, who did not have an event. Peptides were analysed on two-dimensional liquid chromatography coupled to tandem mass spectrometry (2D LC ESI-MS/MS) in high definition mode (HDMSE). We identified and quantified 3001 proteins, of which 51 were significantly up-regulated and 46 down-regulated with more than two-fold expression changes in those who experienced death or rehospitalisation. Gene ontology enrichment analysis and protein-protein interaction networks of significant differentially expressed proteins discovered the central role of metabolic processes in clinical outcomes of patients with heart failure. The findings revealed that a cluster of proteins related to glutathione metabolism, arginine and proline metabolism, and pyruvate metabolism in the pathogenesis of poor outcome in patients with heart failure who died or were rehospitalised.Conclusions: Our findings show that in patients with heart failure who died or were rehospitalised, the glutathione, arginine and proline, and pyruvate pathways were activated. These pathways might be potential targets for therapies to improve poor outcomes in patients with heart failure. [ABSTRACT FROM AUTHOR]

Aims: Association of elevated circulating levels of trimethylamine N-oxide (TMAO) with adverse outcomes in patients with heart failure (HF) has been described. However, response of TMAO levels to treatment and medications has not been investigated. Therefore, we investigated whether TMAO levels are responsive to guideline-recommended treatment and medications, and further reflect changes in outcomes.Methods and Results: TMAO levels were investigated in the systems BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT-CHF), which addressed response to guideline-recommended pharmacological treatment. TMAO levels in 2234 patients with new-onset or progressively worsening HF showed strong associations with adverse events (mortality and/or rehospitalisation) at 1, 2 and 3 years [hazard ratio (HR) 1.37-1.51, P ≤ 0.019). Analysis of 972 patients with plasma available at both enrolment and follow-up visit showed reductions of B-type natriuretic peptide (BNP) levels with guideline-based treatment (P < 0.001), but not for TMAO levels. Moreover, patients with higher TMAO levels than median before and after treatment showed increased association with adverse outcomes [HR 2.21, 95% confidence interval (CI) 1.43-3.43, P < 0.001] compared to patients with lower than median levels either before or after treatment (HR 1.13, 95% CI 0.63-2.04, P = 0.684 and HR 1.14, 95% CI 0.64-2.03, P = 0.662, respectively).Conclusion: TMAO levels were associated with adverse outcomes (mortality and/or rehospitalisation) in BIOSTAT-CHF, and did not respond to guideline-based pharmacological treatment in contrast to BNP levels which did as expected. Lower TMAO levels were associated with favourable outcome regardless of treatment. [ABSTRACT FROM AUTHOR]

Aims: Mineralocorticoid receptor antagonists (MRAs) are recommended (unless contraindicated) to all patients with heart failure with reduced ejection fraction (HFrEF). However, MRAs are still largely underused in routine clinical practice. This study aims to describe the determinants and pattern of use of MRAs in HFrEF.Methods and Results: BIOSTAT-CHF is a European multicentre, prospective study which enrolled patients suboptimally treated with angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACEi/ARBs) and/or beta-blockers, with the aim of optimizing guideline-based use of these agents. From the original 2516 subjects, this retrospective post hoc analysis included the 1325 patients with an indication for MRA therapy (i.e. left ventricular ejection fraction ≤35%, estimated glomerular filtration rate ≥30 mL/min/1.73 m2 , K+ ≤5.0 mmol/L). The mean age was 66.1 ± 12.2 years. At baseline an MRA was prescribed to 741 (56%) patients. Patients who were prescribed MRAs at baseline were younger, more often male, had higher body mass index, lower sodium, higher proportion of hypertension history and ACEi/ARB prescription (all P < 0.05). Of the 1049 patients who completed the baseline plus the 9 month visit, 585 (56%) had an MRA prescribed at baseline and 662 (63%) had an MRA prescribed at 9 months. Among the 585 patients with MRA at baseline, 91 (16%) had discontinued therapy and among the 461 (44%) patients without MRA at baseline 168 (36%) had initiated therapy subsequently. MRA discontinuation was more likely in subjects with higher left ventricular ejection fraction and NYHA class III/IV (P < 0.05 for both). MRA prescription both at baseline and 9 months was not associated with the outcome of death or heart failure hospitalization (adjusted hazard ratio 1.02, 95% confidence interval 0.66-1.58; P = 0.93).Conclusions: In this prospective observational study across Europe, MRAs were largely under-prescribed and frequently discontinued. Owing to these dynamic changes, outcome inferences are inconclusive. [ABSTRACT FROM AUTHOR]

Aims: It is unclear whether distinct pathophysiological processes are present among patients with acute heart failure (AHF), with and without diabetes. Network analysis of biomarkers may identify correlative associations that reflect different pathophysiological pathways.Methods and Results: We analysed a panel of 48 circulating biomarkers measured within 24 h of admission for AHF in a subset of patients enrolled in the PROTECT trial. In patients with and without diabetes, we performed a network analysis to identify correlations between measured biomarkers. Compared with patients without diabetes (n = 1111), those with diabetes (n = 922) had a higher prevalence of ischaemic heart disease and traditional coronary risk factors. After multivariable adjustment, patients with and without diabetes had significantly different levels of biomarkers across a spectrum of pathophysiological domains, including inflammation (TNFR-1a, periostin), cardiomyocyte stretch (BNP), angiogenesis (VEGFR, angiogenin), and renal function (NGAL, KIM-1) (adjusted P-value <0.05). Among patients with diabetes, network analysis revealed that periostin strongly clustered with C-reactive protein and interleukin-6. Furthermore, renal markers (creatinine and NGAL) closely associated with potassium and glucose. These findings were not seen among patients without diabetes.Conclusion: Patients with AHF and diabetes, compared with those without diabetes, have distinct biomarker profiles. Network analysis suggests that cardiac remodelling, inflammation, and fibrosis are closely associated with each other in patients with diabetes. Furthermore, potassium levels may be sensitive to changes in renal function as reflected by the strong renal-potassium-glucose correlation. These findings were not seen among patients without diabetes and may suggest distinct pathophysiological processes among AHF patients with diabetes. [ABSTRACT FROM AUTHOR]

Aim Improved prediction of early post-discharge death or rehospitalization after admission for acute heart failure is a major unmet need. We evaluated the value of biomarkers to predict either low or high risk for early post-discharge events. Methods and results A total of 1653 patients enrolled in the PROTECT trial who were discharged alive and with available blood samples were included. Forty-seven biomarkers were serially evaluated in these patients. Measurement closest to discharge was used to evaluate the predictive value of biomarkers for low and high post-discharge risk. Patients were classified as 'low risk' if post-discharge 30-day risk of death or heart failure rehospitalization was <5% while risk >20% was used to define 'high risk'. Cut-off values that yielded a 95% negative predictive value and a 20% positive predictive value were identified for each biomarker. Partial area under the receiver operating characteristic curve (pAUC) in the high-sensitivity and high-specificity regions was calculated to compare low-risk and high-risk predictive values. Of patients analysed, 193 (11.7%) patients reached the 30-day death or heart failure rehospitalization outcome. We found marked differences between low-risk and high-risk predictors. Cardiac-specific troponin I was the strongest biomarker for low-risk prediction (pAUC=0.552, 95% confidence interval 0.52-0.58) while endothelin-1 showed better performance for high-risk prediction (pAUC=0.560, 95% confidence interval 0.53-0.59). Several biomarkers (individually and in combination) provided added predictive value, on top of a clinical model, in both low-risk and high-risk regions. Conclusion Different biomarkers predicted low risk vs. high risk of early post-discharge death or heart failure readmission in patients hospitalized for acute heart failure. [ABSTRACT FROM AUTHOR]

Objective: The blood urea nitrogen-to-creatinine (BUN/creatinine) ratio has been proposed as a useful parameter in acute heart failure (AHF), but data on the normal range and the added value of the ratio compared with its separate components in patients with AHF are lacking. The aim of this study is to define the normal range of BUN/creatinine ratio and to investigate its clinical significance in patients with AHF.Methods: In 4484 subjects from the general population without cardiovascular comorbidities, we calculated age-specific and sex-specific normal values of the BUN/creatinine ratio, deriving a higher and lower than normal range of BUN/creatinine ratio (exceeding the 95% prediction intervals). Association of abnormal range to prognosis was tested in 2033 patients with AHF for the outcome of all-cause death through 180 days, death or cardiovascular or renal rehospitalisation through 60 days and heart failure (HF) rehospitalisation within 60 days.Results: In a cohort of patients with AHF, 482 (24.6%) and 28 (1.4%) patients with HF were classified into higher and lower than normal range groups, respectively. In Cox regression analysis, higher than normal range of BUN/creatinine ratio group was an independent predictor for all-cause death (HR: 1.86, 95% CI 1.29 to 2.66) and death or cardiovascular or renal rehospitalisation (HR: 1.37, 95% CI 1.03 to 1.82), but not for HF rehospitalisation (HR: 1.23, 95% CI 0.81 to 1.86) after adjustment for other prognostic factors including both creatinine and BUN.Conclusions: In patients with AHF, BUN/creatinine higher than age-specific and sex-specific normal range is associated with worse prognosis independently from both creatinine and BUN. CLINICAL TRIALS: gov identifier NCT00328692 and NCT00354458. [ABSTRACT FROM AUTHOR]

Aims: Episodes of acute heart failure (AHF) unfavourably affect multiple organs, which may have an adverse impact on the outcomes. We investigated the prevalence and clinical consequences of abnormal liver function tests (LFTs) in AHF patients enrolled in the PROTECT study.Methods and Results: The LFTs comprised serial assessment of aspartate aminotransferase (AST), alanine aminotransferase (ALT) and albumin at baseline and during follow-up (daily until discharge, on days 7 and 14). The prevalence of abnormal LFTs (above upper limit of normal for AST and ALT or below lower limit of normal for albumin) was: at baseline AST 20%, ALT 12%, albumin 40%; and at day 14: AST 15%, ALT 9%, albumin 26%. Abnormal LFTs at baseline were associated with a higher risk of in-hospital death with odds ratios [95% confidence interval (CI)] of 3.5 (1.7-7.3) for AST, 3.9 (1.8-8.4) for ALT, and 2.8 (1.3-5.9) for albumin (all P < 0.01). Abnormal baseline and discharge LFTs had an unfavourable impact on 180-day mortality with hazard ratios (95% CI) for baseline AST, ALT, and albumin of 1.3 (1.0-1.7), 1.1 (1.0-1.2), 1.4 (1.1-1.8), respectively, and 1.5 (1.1-2.0), 1.5 (1.0-2.2), and 1.6 (1.2-2.1), for discharge AST, ALT, albumin, respectively (all P < 0.05). Analysis of LFTs trajectories (calculated as changes in LFTs over time) revealed that increasing AST and ALT on day 3 as well as decreasing albumin on day 4 were independent prognosticators of 180-day outcome (all P < 0.05).Conclusions: Abnormal LFTs are frequent in AHF at baseline and during hospital stay and predict worse outcomes. Whether this association is causal and what are the underlying mechanisms involved require further study. [ABSTRACT FROM AUTHOR]

Aims: In patients with heart failure (HF), serum erythropoietin (EPO) levels are elevated and associated with disease severity and outcome. Whether endogenous EPO levels are prospectively associated with the development of HF or cardiovascular events in the general population is unknown.Methods and Results: Serum EPO levels were measured at baseline in 6686 subjects enrolled in the Prevention of REnal and Vascular ENd-stage Disease (PREVEND) study. Mean age (±SD) was 53 ± 12 years, 49.8% were male, and the median (interquartile range) EPO level was 7.7 (5.9-10.2) IU/L. During a median follow-up of 8.3 (7.7-8.8) years, 209 (3.1%) subjects were newly diagnosed with HF, 97 (1.5%) died of a cardiovascular cause, and 386 (6.0%) subjects had a non-fatal cardiovascular event (277 cardiac events and 93 strokes). Each doubling of EPO level was multivariably associated with new-onset HF [hazard ratio (HR) 1.32, 95% confidence interval (CI) 1.03-1.69, P = 0.031]. EPO levels showed interaction with urinary albumin excretion (P = 0.006) and were only associated with HF in subjects with albuminuria (HR 1.51, 95% CI 1.13-2.03, P = 0.005). There was an independent association of EPO levels with stroke in women (HR 1.82, 95% CI 1.24-2.65, P = 0.002), but not in men. No association was observed for EPO levels with other cardiovascular events or cardiovascular mortality.Conclusion: High serum EPO levels are independently associated with an increased risk of new-onset HF in subjects with albuminuria. More research into the pathophysiological mechanisms linking EPO levels to HF is needed to understand this association. [ABSTRACT FROM AUTHOR]

Aims: Urinary kidney injury molecule-1 (KIM-1) is a marker of tubular damage and associated with worse outcome in heart failure (HF). Plasma KIM-1 has not been described in HF.Methods and Results: In a renal mechanistic cohort of 120 chronic HF patients, we established the association between plasma KIM-1, renal invasive haemodynamic parameters {renal blood flow ([(131) I]hippuran clearance) and measured glomerular filtration rate (GFR; [(125) I]iothalamate)} and urinary tubular damage markers. The association between plasma KIM-1, plasma creatinine, and clinical outcome was further explored in a cohort of 2033 acute HF patients. Median plasma KIM-1 was 171.5 pg/mL (122.8-325.7) in chronic (n = 99) and 295.1 pg/mL (182.2-484.2) in acute HF (n = 1588). In chronic HF, plasma KIM-1 was associated with GFR (P < 0.001), creatinine, and cystatin C. Plasma KIM-1 was associated with urinary N-acetyl-β-d-glucosaminidase (NAG), but not with other urinary tubular damage markers. Log plasma KIM-1 predicted adverse clinical outcome after adjustment for age, gender, and GFR [hazard ratio (HR) 1.94, 95% confidence interval (CI) 1.07-3.53, P = 0.030]. Statistical significance was lost after correction for NT-proBNP (HR 1.61, 95% CI 0.81-3.20, P = 0.175). In acute HF, higher plasma KIM-1 levels were associated with higher creatinine, lower albumin, and presence of diabetes. Log plasma KIM-1 predicted 60-day HF rehospitalization (HR 1.27, 95% CI 1.03-1.55, P = 0.024), but not 180-day mortality or 60-day death or renal or cardiovascular rehospitalization.Conclusions: Plasma KIM-1 is associated with glomerular filtration and urinary NAG, but not with other urinary tubular damage markers. Plasma KIM-1 does not predict outcome in chronic HF after correction for NT-proBNP. In acute HF, plasma KIM-1 predicts HF rehospitalization in multivariable analysis. [ABSTRACT FROM AUTHOR]

Aims: Despite major improvements in pharmacological and device treatments, heart failure remains a syndrome with high morbidity and mortality, poor quality of life, and high health-care costs. Given the extensive heterogeneity among patients with heart failure, substantial differences in the response to therapy can be expected. We hypothesize that individualized therapy is an essential next step to improve outcomes in patients with heart failure.Methods: The BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT-CHF) included 2516 patients with worsening signs and/or symptoms of heart failure from 11 European countries, who were considered to be on suboptimal medical treatment. Another 1738 patients from Scotland were included in a validation cohort. Overall, both patient cohorts were well matched. The majority of patients were hospitalized for acute heart failure, and the remainder presented with worsening signs and/or symptoms of heart failure at outpatient clinics. Approximately half of the patients were in New York Heart Association class III, and 7% vs 34% of patients of the index vs validation cohort had heart failure with preserved ejection fraction. According to study design, all patients used diuretics, but owing to the inclusion criteria of both cohorts, patients were not on optimal, evidence-based medical therapy. In the follow-up phase, uptitration to guideline-recommended doses was encouraged.Conclusion: By using a novel systems biology approach, incorporating demographics, biomarkers, genome-wide analysis, and proteomics, a model that predicts response to therapy will be developed, which should be instrumental in developing alternative therapies for patients with suboptimal response to currently recommended therapies and thus further improve care for patients with heart failure. [ABSTRACT FROM AUTHOR]

Aim: The clinical value of single biomarkers at single time-points to predict outcomes in patients with acute heart failure (AHF) is limited. We performed a multimarker, multi-time-point analysis of biomarkers for the prediction of post-discharge clinical outcomes in high-risk AHF patients.Methods and Results: A set of 48 circulating biomarkers were measured in the PROTECT trial which enrolled 2033 patients with AHF. Associations between baseline levels of biomarkers and outcomes (30-day all-cause mortality, 30-day death or rehospitalization for renal/cardiovascular causes and 180-day all-cause mortality) were evaluated. Prognostic accuracies of baseline, days 2 or 3, 7, and 14 biomarker measurements were estimated and compared utilizing a time-dependent area under the curve (AUC) analysis. Forty-four biomarkers were significantly associated with outcomes, but 42 had limited prognostic value (C-index < 0.70). However, multimarker models combining best-performing biomarkers from different clusters had a much stronger prognostic value. Combining blood urea nitrogen (BUN), chloride, interleukin (IL)-6, cTnI, sST-2 and VEGFR-1 into a clinical model yielded a 11% increase in C-index to 0.84 and 0.78 for 30-day and 180-day all-cause mortality, respectively, and cNRI of 0.86 95% CI [0.55-1.11] and 0.76 95% CI [0.57-0.87]. Prognostic gain was modest for the 30-day death/rehospitalization for cardiovascular or renal causes endpoint. Comparative time-dependent AUC analysis indicated that late measurements provided superior accuracy for the prediction of all-cause mortality over 180 days, with few exceptions including BUN and galectin-3. However, the predictive value of most biomarkers showed a diminishing pattern over time irrespective of moment of measurement.Conclusions: Multimarker models significantly improve risk prediction. Subsequent measurements, beyond admission, are needed for majority of biomarkers to maximize prognostic value over time, particularly in the long term. [ABSTRACT FROM AUTHOR]

Aims A-type and B-type natriuretic peptides are established markers in chronic heart failure ( HF). C-type natriuretic peptide ( CNP) belongs to the same peptide family, but is predominantly localized in the endothelium. The prognostic role of CNP in heart failure has not been established. The aim of the study was to determine the prognostic power and clinical correlates of the N-terminal part of pro CNP ( NT-proCNP) in patients with chronic HF. Methods and results In 567 hospitalized heart failure patients, NT-proCNP levels were measured at hospital discharge. The primary endpoint was a combined endpoint of all-cause mortality and HF hospitalization after 18 months. Heart failure with a preserved ejection fraction ( HFpEF) was pre-defined as an LVEF >40%. Mean (± SD) age was 71 ± 11 years, 62% were male, mean LVEF was 32 ± 14%, and 23% had HFpEF. In multivariate linear regression, NT-proCNP levels showed a positive correlation with NT-proBNP levels and parameters of renal function, whereas a negative correlation with female sex and vascular endothelial growth factor was observed. After 18 months follow-up, 240 patients reached the combined endpoint. We observed interaction between NT-proCNP and LVEF for outcome ( P = 0.046). Multivariate analyses revealed NT-proCNP to be strongly predictive for the primary endpoint [hazard ratio ( HR) 1.78, 95% confidence interval ( CI) 1.18-2.67, P = 0.006) in patients with HFpEF, but not in patients with a reduced ejection fraction ( HFrEF) ( HR 1.07, 95% CI 0.81-1.43, P = 0.616). Finally, reclassification showed significant additive value in patients with HFpEF ( P < 0.001), but not in those with HFrEF ( P = 0.453). Conclusion NT-proCNP is a strong independent marker for outcome in patients with HFpEF, but not in those with HFrEF. [ABSTRACT FROM AUTHOR]

Aims The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula estimates glomerular filtration rate (GFR) better than the simplified Modification of Diet in Renal Disease (sMDRD) formula in numerous populations. It has not previously been validated in heart failure patients. Methods and results The GFR was measured in 120 patients with chronic systolic heart failure (CHF) using [125I]iothalamate clearance (GFRIOTH) and estimated using the sMDRD and CKD-EPI equations. Accuracy, bias, and prognostic performance were compared. Cockcroft-Gault, CKD-EPI serum cystatin C, and CKD-EPI creatinine-serum cystatin C equations were compared in secondary analyses. Mean age was 59 ± 12 years, 80% were male. Mean LVEF was 29 ± 10%. Mean GFRIOTH was 74 ± 27 mL/min/1.73 m2, and mean estimated GFR was 66 ± 23 mL/min/1.73 m2 (CKD-EPI) and 63 ± 21 mL/min/1.73m2 (sMDRD). CKD-EPI showed less bias than sMDRD (-8 ± 15 vs. -11 ± 16 mL/min/1.73 m2, P < 0.001). Both equations underestimate at higher and overestimate at lower GFRIOTH. Eleven patients (9%) were accurately reclassified into lower CKD classes with CKD-EPI. Cockcroft-Gault showed lower bias (-3 ± 16 mL/min/1.73 m2) but worse precision and accuracy. Cystatin C-based estimation showed the lowest bias (-3 ± 14 mL/min/1.73 m2) and the best precision and accuracy. Prognostic value did not differ between all GFR estimates Conclusion The CKD-EPI equation more accurately estimates measured GFR than the sMDRD equation in CHF patients, with less bias and greater accuracy and precision. The prognostic power of all GFR assessments was equivalent. Based on better performance and equal risk prediction, we believe the CKI-EPI equation should be the preferred creatinine-based GFR estimation method in heart failure patients, particularly those with preserved or moderately impaired renal function. [ABSTRACT FROM AUTHOR]

Aims Differences in manifestation, treatment, and outcomes of acute heart failure between men and women have not been well studied. The objective of this analysis was to characterize differences in clinical presentation, and in-hospital and post-discharge outcomes between sexes in acute heart failure patients. Methods and results Clinical profiles, treatment characteristics, and outcomes were compared between sexes in 2033 patients hospitalized for acute heart failure and impaired renal function. Women comprised 33% of the study population and were older, had higher body mass index, LVEF, and systolic blood pressure, and a greater prevalence of diabetes. At baseline, women showed signs and symptoms of congestion comparable with men, but more often had rales, orthopnoea, and worse renal function. Women were less intensively diuresed, as indicated by lower oral and intravenous diuretic doses used, fewer dose increases, and less total weight loss during hospitalization. Furthermore, hospitalization was slightly but significantly prolonged in women (11.04 ± 7.8 vs. 10.65 ± 8.86 days; P = 0.024). Age-adjusted 180-day mortality was lower in women (15.8% vs. 18.5%, hazard ratio 0.74; 95% confidence interval 0.59–0.93, P = 0.010), but multivariable risk-adjusted mortality was similar in both sexes, mainly attributable to lower blood urea nitrogen, higher LVEF, and higher systolic blood pressure in women compared with men. Conclusions Women with acute heart failure present with a clinical profile different from that of men, with more hypertension, diabetes, and depression, and a preserved LVEF. During hospitalization, they were less intensively diuresed. Nevertheless, risk-adjusted 180-day outcome was similar between sexes. [ABSTRACT FROM PUBLISHER]

Aims Knowledge of patient preferences is vital for delivering optimal healthcare. This study uses utility measurement to assess the preferences of heart failure (HF) patients regarding quality of life or longevity. The utility approach represents the perspective of a patient; facilitates the combination of mortality, morbidity, and treatment regimen into a single score; and makes it possible to compare the effects of different interventions in healthcare. Methods and results Patient preferences of 100 patients with HF were assessed in interviews using the time trade-off (TTO) approach. Health-related quality of life (HR-QoL) was assessed with the EQ-5D and the Minnesota Living with Heart Failure Questionnaire (MLHFQ). Patients' own estimation of life expectancy was assessed with a visual analogue scale (VAS). Of the 100 patients (mean age 70 ± 9 years; 71% male), 61% attach more weight to quality of life over longevity; while 9% and 14% were willing to trade 6 and 12 months, respectively, for perfect health and attach more weight to quality of life. Patients willing to trade time had a significantly higher level of NT-proBNP and reported significantly more dyspnoea during exertion. Predictors of willingness to trade time were higher NT-proBNP and lower EQ VAS. Conclusion The majority of HF patients attach more weight to quality of life over longevity. There was no difference between both groups with respect to life expectancy described by the patients. These insights enable open and personalized discussions of patients' preferences in treatment and care decisions, and could guide the future development of more patient-centred care. [ABSTRACT FROM AUTHOR]

Aims To examine whether self-rated disease-specific and generic quality of life predicts long-term mortality, independent of brain natriuretic peptide (BNP) levels, and to explore factors related to low quality of life in a well-defined heart failure (HF) population. Methods and results A cohort of 661 patients (62% male; age 71 years; left ventricular ejection fraction 34%) was followed prospectively for 3 years. Quality of life questionnaires (Ladder of Life, RAND36, and Minnesota Living with Heart Failure Questionnaire) and BNP levels were assessed at discharge after a hospital admission for HF. Three-year mortality was 42%. After adjustment for demographic variables, clinical variables, and BNP levels, poor quality of life scores predicted higher mortality; per 10 units on the physical functioning [hazard ratio (HR) 1.08, 95% confidence interval (CI) 1.02–1.14] and general health (HR 1.08, 95% CI 1.01–1.16) dimensions of the RAND36. Patients with low scores on these dimensions were more likely to be in New York Heart Association class III–IV, diagnosed with co-morbidities, have suffered longer from HF, have lower estimated glomerular filtration rates, and have fewer beta-blocker prescriptions. Conclusion Quality of life was independently related to survival in a cohort of hospitalized patients with HF. Trial registration: NCT 98675639. [ABSTRACT FROM PUBLISHER]

Aims Atrial fibrillation (AF) is common in heart failure (HF), but few data regarding the prognostic relevance of AF are available in HF patients with preserved left ventricular ejection fraction (HF-PEF). We aimed to study the clinical impact of AF vs. sinus rhythm (SR) in stabilized HF patients with reduced left ventricular ejection fraction (HF-REF) and in those with preserved left ventricular ejection fraction (HF-PEF). Methods and results We studied 927 patients with stable HF, of whom 336 (36%) had AF. N-terminal pro-B-type natriuretic peptide (NT-proBNP) concentrations were measured at baseline and patients were followed for 18 months. We compared time to first HF (re-)hospitalization or death between patients with AF and SR. Conclusion Atrial fibrillation is equally common in patients with HF-PEF and HF-REF. In HF-PEF, but not in HF-REF patients, AF was associated with higher NT-proBNP levels and was independently related to death or HF hospitalization. [ABSTRACT FROM AUTHOR]

Aims: To study the prognostic value of depressive symptoms on heart failure (HF) readmission and mortality, in a large and clinically relevant population of hospitalized HF patients adjusted for disease severity by B-type natriuretic peptide (BNP) level. [ABSTRACT FROM PUBLISHER]

Abstract: Renal impairment, as measured by reduced glomerular filtration rate (GFR) and increased urinary albumin excretion (UAE), is prevalent in patients with chronic heart failure (CHF) and is associated with reduced survival. The prevalence of structural tubular damage in CHF is unknown. We investigated 90 CHF patients and 20 age and sex matched healthy controls, and determined estimated GFR, UAE, N terminal-pro brain natriuretic peptide (NT-proBNP) and urinary neutrophil gelatinase associated lipocalin (NGAL) as a marker for tubular damage. CHF patients had significantly lower averaged estimated GFR (64±17 vs 90±12 mL/min/1.73 m2, P <0.0001), but higher NT-proBNP and UAE levels (both P <0.0001). Median urinary NGAL levels were markedly increased in CHF patients compared to controls (175 (70–346) vs 37 (6–58) μg/gCr, P <0.0001). Both serum creatinine (r =0.26, P =0.006) and eGFR (r =−0.29, P =0.002) were significantly associated with urinary NGAL levels as were NT-proBNP and UAE but to a lesser extent. In conclusion, renal impairment in CHF patients is not only characterised by decreased eGFR and increased UAE, but also by the presence of tubular damage, as measured by increased urinary NGAL concentrations. [Copyright &y& Elsevier]

Background: Current risk prediction models in heart failure (HF) including clinical characteristics and biomarkers only have moderate predictive value. The aim of this study was to use matrix assisted laser desorption ionisation mass spectrometry (MALDI-MS) profiling to determine if a combination of peptides identified with MALDI-MS will better predict clinical outcomes of patients with HF. Methods: A cohort of 100 patients with HF were recruited in the biomarker discovery phase (50 patients who died or had a HF hospital admission vs. 50 patients who did not have an event). The peptide extraction from plasma samples was performed using reversed phase C18. Then samples were analysed using MALDI-MS. A multiple peptide biomarker model was discovered that was able to predict clinical outcomes for patients with HF. Finally, this model was validated in an independent cohort with 100 patients with HF. Results: After normalisation and alignment of all the processed spectra, a total of 11,389 peptides (m/z) were detected using MALDI-MS. A multiple biomarker model was developed from 14 plasma peptides that was able to predict clinical outcomes in HF patients with an area under the receiver operating characteristic curve (AUC) of 1.000 (p = 0.0005). This model was validated in an independent cohort with 100 HF patients that yielded an AUC of 0.817 (p = 0.0005) in the biomarker validation phase. Addition of this model to the BIOSTAT risk prediction model increased the predictive probability for clinical outcomes of HF from an AUC value of 0.643 to an AUC of 0.823 (p = 0.0021). Moreover, using the prediction model of fourteen peptides and the composite model of the multiple biomarker of fourteen peptides with the BIOSTAT risk prediction model achieved a better predictive probability of time-to-event in prediction of clinical events in patients with HF (p = 0.0005). Conclusions: The results obtained in this study suggest that a cluster of plasma peptides using MALDI-MS can reliably predict clinical outcomes in HF that may help enable precision medicine in HF. [ABSTRACT FROM AUTHOR]

Objectives: Our aim was to study the possible role of depressive symptoms in the effectiveness of a disease management program (DMP) in heart failure (HF) patients. Background: Disease management programs are recommended in current HF guidelines, but certain patient groups, such as those with depression, might be less responsive to such programs. Methods: From the data of a large multicenter study, in which we examined the effect of a DMP in HF patients, we investigated a potential interaction between depressive symptoms at baseline and the effect of such a program. Results: Of the 958 HF patients (37% female; age 71 ± 11 years; New York Heart Association functional class II to IV), 377 (39%) reported depressive symptoms at baseline. During 18 months of follow-up, the primary end point (composite of all-cause mortality and HF readmission) occurred in 39% of the nondepressed patients and 42% of depressed patients. In the overall sample, there was no significant effect of DMP on the composite primary end point. The effect of the DMP was significantly different in nondepressed than in depressed HF patients. A significant effect modification by depressive symptoms was observed in evaluating the effect of the DMP on all-cause mortality and HF readmission (p = 0.03). In patients without depressive symptoms, DMP resulted in a trend for lower incidence of the primary end point (hazard ratio: 0.8, 95% confidence interval: 0.61 to 1.04), whereas the reverse was observed in patients with depressive symptoms (hazard ratio: 1.3, 95% confidence interval: 0.95 to 1.98). Conclusions: Depressive symptoms in patients with HF have a major effect on the usefulness of DMP. Identification of depressive symptoms before enrollment in a DMP might lead to more accurate use of a DMP, because depressive patients might not benefit from a general program. (Netherlands Heart Foundation Coordinating study evaluating Outcomes of Advising and Counselling in Heart Failure; ISRCTN98675639) [Copyright &y& Elsevier]

Background: Several clinical studies have evaluated the association between ST2 and outcome in patients with heart failure (HF). However, little is known about the predictive value of frequently measured ST2 levels in patients with acute HF.Objectives: This study sought to describe the prognostic value of baseline and repeated ST2 measurements in patients with acute HF.Methods: In the TRIUMPH (Translational Initiative on Unique and novel strategies for Management of Patients with Heart failure) clinical cohort study, 496 patients with acute HF were enrolled in 14 hospitals in the Netherlands between 2009 and 2014. Repeated blood samples (7) were drawn during 1-year follow-up. ST2 and N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels were measured in a central laboratory. The primary endpoint was the composite of all-cause mortality and HF rehospitalization. Associations between repeated biomarker measurements and the primary endpoint were assessed using a joint model.Results: Median age was 74 years, and 37% of patients were women. The primary endpoint was reached in 188 patients (40%) during a median follow-up of 325 days (interquartile range: 85 to 401). The median baseline ST2 level was 71 ng/ml (interquartile range: 46 to 102). After adjustment for clinical factors and NT-proBNP, baseline ST2 was associated with an increased risk of the primary endpoint, and the hazard ratio per 1 SD increase of the baseline ST2 level (on the log2 scale) was 1.30 (95% confidence interval: 1.08 to 1.56; p = 0.005). When repeated measurements were taken into account, the adjusted hazard ratio per 1 SD increase of the ST2 level (on the log2 scale) during follow-up increased to 1.85 (95% confidence interval: 1.02 to 3.33; p = 0.044), adjusted for clinical factors and repeated measurements of NT-proBNP. Furthermore, ST2 levels appeared to elevate several weeks before the time of the primary endpoint.Conclusions: Repeated ST2 measurements appeared to be a strong predictor of outcome in patients with acute HF, independent of repeatedly measured NT-proBNP. Hence ST2 may be helpful in clinical practice for prognostication and treatment monitoring. (TRanslational Initiative on Unique and novel strategies for Management of Patients with Heart failure [TRIUMPH]; NTR1893). [ABSTRACT FROM AUTHOR]

Objectives: The study sought to investigate the clinical correlates and prognostic role of anemia and changes in hemoglobin in patients hospitalized for acute decompensated heart failure (AHF). Background: Anemia is related to a poor outcome in patients with heart failure. In addition, an increase in hemoglobin during hospitalization might be a sign of effective decongestion and therefore related to improved outcome. Methods: This is a post hoc analysis of the PROTECT (Placebo-Controlled Randomized Study of the Selective Adenosine A1 Receptor Antagonist Rolofylline for Patients Hospitalized with Acute Decompensated Heart Failure and Volume Overload to Assess Treatment Effect on Congestion and Renal Function) study in 1,969 patients with AHF and mild to moderate impaired renal function. Hemoglobin levels were measured daily for the first 4 days and at day 7. The endpoint was 180-day all-cause mortality. Results: Anemia at baseline was observed in 50.3% of the patients. During follow-up, 359 patients (18.2%) died. Hemoglobin increased in 69.1% and was associated with a better renal function at baseline and more weight loss, but was associated with a deterioration of renal function (p = 0.01), whereas total dose diuretics was lower in patients with hemoconcentration (p < 0.01). Interaction analysis showed that greater weight loss and better baseline renal function were associated with a more rapid increase in hemoglobin concentration (p < 0.01 for both). The absolute change in hemoglobin (g/dl) independently predicted outcome (hazard ratio: 0.66; 95% confidence interval: 0.51 to 0.86; p = 0.002), whereas baseline hemoglobin levels did not. Conclusions: Patients with AHF and preserved renal function are decongested better, as shown by an increase in hemoglobin. A rapid increase in hemoglobin during the first week is independently associated with a favorable outcome, despite a slight decrease in renal function. [ABSTRACT FROM AUTHOR]

Abstract: Background: It is unclear how depressive symptoms in patients with heart failure develop over time and whether this trajectory of depressive symptoms is associated with hospital admission and prognosis. Aim: To describe the time-course of depressive symptoms and determine the relationship with hospitalisation and mortality. Method: Data was analysed using 611 patients with completed CES-D questionnaires at baseline and at 18months. Data on hospitalisation was collected 18months after discharge and data on mortality was collected 18 and 36months post-discharge. Results: A total of 140 (61%) of the 229 patients with depressive symptoms at discharge had recovered from depressive symptoms after 18months whereas 71 (18%) of the 382 non-depressed developed depressive symptoms and 89 (39%) of the 229 depressed remained depressed. Patients with recently (i.e. during the last 18months) developed depressive symptoms showed a significantly higher risk for cardiovascular hospitalisation (HR 1.7, 95% CI 1.1–2.6, P =.016). After 36months, patients with developed depressive symptoms after discharge were at a higher risk of all-cause mortality (HR 2.0, 95% CI 1.2–3.5, P =.012) and there was a trend towards a higher risk of all-cause mortality in patients with ongoing depressive symptoms (HR 1.7, 95% CI 0.98–3.1, P =.056). Conclusion: A significant proportion of patients with HF, who were reported depressive symptoms at discharge recovered from depressive symptoms during the following 18months. However, patients who remained having depressive symptoms or patients who developed depressive symptoms had a worse prognosis. [Copyright &y& Elsevier]