Surgical clip closure of the left atrial appendage.

Atrial fibrillation (AF) is the most common atrial arrhythmia, but it is not a benign disease. AF is an important risk factor for thromboembolic events, causing significant morbidity and mortality. The left atrial appendage (LAA) plays an important role in thrombus formation, but the ideal management of the LAA remains a topic of debate. The increasing popularity of surgical epicardial ablation and hybrid endoepicardial ablation approaches, especially in patients with a more advanced diseased substrate, has increased interest in epicardial LAA management. Minimally invasive treatment options for the LAA offer a unique opportunity to close the LAA with a clip device. This review highlights morphologic, electrophysiologic, and surgical aspects of the LAA with regard to AF surgery, and aims to illustrate the importance of surgical clip closure of the LAA.

Plasma Neutrophil Gelatinase-Associated Lipocalin and Predicting Clinically Relevant Worsening Renal Function in Acute Heart Failure.

The aim of this study was to evaluate the ability of Neutrophil Gelatinase-Associated Lipocalin (NGAL) to predict clinically relevant worsening renal function (WRF) in acute heart failure (AHF). Plasma NGAL and serum creatinine changes during the first 4 days of admission were investigated in 1447 patients hospitalized for AHF and enrolled in the Placebo-Controlled Randomized Study of the Selective A1Adenosine Receptor Antagonist Rolofylline for Patients Hospitalized with Acute Decompensated Heart Failure and Volume Overload to Assess Treatment Effect on Congestion and Renal Function (PROTECT) study. WRF was defined as serum creatinine rise ≥ 0.3 mg/dL through day 4. Biomarker patterns were described using linear mixed models. WRF developed in 325 patients (22%). Plasma NGAL did not rise earlier than creatinine in patients with WRF. After multivariable adjustment, baseline plasma NGAL, but not creatinine, predicted WRF. AUCs for WRF prediction were modest (<0.60) for all models. NGAL did not independently predict death or rehospitalization (p = n.s.). Patients with WRF and high baseline plasma NGAL had a greater risk of death, and renal or cardiovascular rehospitalization by 60 days than patients with WRF and a low baseline plasma NGAL (p for interaction = 0.024). A rise in plasma NGAL after baseline was associated with a worse outcome in patients with WRF, but not in patients without WRF (p = 0.007). On the basis of these results, plasma NGAL does not provide additional, clinically relevant information about the occurrence of WRF in patients with AHF.

Identifying Subpopulations with Distinct Response to Treatment Using Plasma Biomarkers in Acute Heart Failure: Results from the PROTECT Trial : Differential Response in Acute Heart Failure.

BACKGROUND: Over the last 50 years, clinical trials of novel interventions for acute heart failure (AHF) have, with few exceptions, been neutral or shown harm. We hypothesize that this might be related to a differential response to pharmacological therapy. METHODS: We studied the magnitude of treatment effect of rolofylline across clinical characteristics and plasma biomarkers in 2033 AHF patients and derived a biomarker-based responder sum score model. Treatment response was survival from all-cause mortality through day 180. RESULTS: In the overall study population, rolofylline had no effect on mortality (HR 1.03, 95% CI 0.82-1.28, p = 0.808). We found no treatment interaction across clinical characteristics, but we found interactions between several biomarkers and rolofylline. The biomarker-based sum score model included TNF-R1α, ST2, WAP four-disulfide core domain protein HE4 (WAP-4C), and total cholesterol, and the score ranged between 0 and 4. In patients with score 4 (those with increased TNF-R1α, ST2, WAP-4C, and low total cholesterol), treatment with rolofylline was beneficial (HR 0.61, 95% CI 0.40-0.92, p = 0.019). In patients with score 0, treatment with rolofylline was harmful (HR 5.52, 95% CI 1.68-18.13, p = 0.005; treatment by score interaction p < 0.001). Internal validation estimated similar hazard ratio estimates (0 points: HR 5.56, 95% CI 5.27-7-5.87; 1 point: HR 1.31, 95% CI 1.25-1.33; 2 points: HR 0.75, 95% CI 0.74-0.76; 3 points: HR 1.13, 95% CI 1.11-1.15; 4 points, HR 0.61, 95% CI 0.61-0.62) compared to the original data. CONCLUSION: Biomarkers are superior to clinical characteristics to study treatment heterogeneity in acute heart failure.

Combining Diuretic Response and Hemoconcentration to Predict Rehospitalization After Admission for Acute Heart Failure.

BACKGROUND: Both diuretic response and hemoconcentration are indicators of decongestion and have individually been found to predict rehospitalization after admission for acute heart failure (HF). This study examines the value of combining diuretic response and hemoconcentration to better predict patients at low risk for rehospitalization after admission for acute HF. METHODS AND RESULTS: Diuretic response (defined as weight change per 40 mg of furosemide on day 4 after admission) and hemoconcentration (change in hemoglobin at discharge or day 7) were tested both individually and combined to predict the risk of HF and cardiovascular rehospitalization 60 days after hospitalization for acute HF. Analyses were performed in 1180 patients enrolled in the Placebo-Controlled Randomized Study of the Selective Adenosine Receptor Antagonist Rolofylline for Patients Hospitalized With Acute Decompensated Heart Failure and Volume Overload to Assess Treatment Effect on Congestion and Renal Function (PROTECT) trial and validated in 1776 patients enrolled in the Efficacy of Vasopressin Antagonism in Heart Failure Outcome Study With Tolvaptan (EVEREST) trial. Poor diuretic response was associated with low systolic blood pressure, high blood urea nitrogen, and history of coronary revascularization in both data sets (all P<0.05). Hemoconcentration was mainly associated with better renal function (P<0.05). Patients who displayed both favorable diuretic response and hemoconcentration had a markedly lower risk of rehospitalization for HF in PROTECT (multivariable HR, 0.41; 95% CI, 0.24 to 0.70; P<0.001) compared with all other patients. This finding was confirmed in EVEREST (multivariable HR, 0.52; 95% CI, 0.33 to 0.82; P=0.004) for patients with favorable diuretic response and hemoconcentration compared with all other patients. CONCLUSIONS: Combining 2 indicators of decongestion, hemoconcentration and diuretic response improves risk prediction for early rehospitalization after an admission for acute HF and may provide clinicians with an easily accessible tool to identify low-risk patients. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifiers: NCT00354458 and NCT00071331.

Abnormal liver function tests in acute heart failure: relationship with clinical characteristics and outcome in the PROTECT study.

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.

Cardiac adaption during pregnancy in women with congenital heart disease and healthy women.

OBJECTIVE: Pregnancy in women with congenital heart disease (CHD) is associated with deterioration in cardiac function. However, longitudinal data are scarce. This study describes serial changes in cardiac dimensions and function during pregnancy in women with CHD and compares these with healthy pregnant women (controls). METHODS: Eight tertiary centres prospectively enrolled 125 pregnant women with CHD (pregnancy duration <20 weeks). Controls (N=49) were recruited from low-risk midwife practices. Standardised echocardiography at 20 and 32 weeks gestation and 1 year postpartum was performed. RESULTS: Age and parity were comparable between both groups (p>0.1). Left ventricular ejection fraction (LVEF) <45% was present in 3.2% of women with CHD and 14.4% had tricuspid annular plane systolic excursion (TAPSE) <16 mm. Absolute values of ventricular function parameters and diameters were less favourable in women with CHD. No permanent changes occurred in right and left ventricular function parameters and dimensions in women with CHD. The patterns of change in cardiac function and dimensions were comparable between women with CHD and controls, except for LVEF (p=0.026). In women with right-sided CHD the pattern of TAPSE over time differed from controls (p=0.043) (no decrease in TAPSE postpregnancy in CHD). In women with left-sided CHD left ventricular end-diastolic diameter (LVEDD) tended to increase compared with controls (p=0.045). CONCLUSIONS: Absolute levels of ventricular function parameters and diameters differ between CHD and controls, but changes during and after pregnancy are generally comparable. However, different patterns over time seen for TAPSE and LVEDD in women with right-sided and left-sided CHD, respectively, compared with controls indicate the importance of echocardiographic follow-up during pregnancy in women with CHD.

MicroRNAs relate to early worsening of renal function in patients with acute heart failure.

BACKGROUND: Deregulation of microRNAs (miRNAs) may be involved in the pathogenesis of heart failure (HF) and renal disease. Our aim is to describe miRNA levels related to early worsening renal function in acute HF patients. METHOD AND RESULTS: We studied the association between 12 circulating miRNAs and Worsening Renal Function (WRF; defined as an increase in the serum creatinine level of 0.3mg per deciliter or more from admission to day 3), absolute change in creatinine and Neutrophil Gelatinase Associated Lipocalin (NGAL) from admission to day 3 in 98 patients hospitalized for acute HF. At baseline, circulating levels of all miRNAs were lower in patients with WRF, with statistically significant decreased levels of miR-199a-3p, miR-423-3p, and miR-let-7i-5p (p-value<0.05). The increase in creatinine during the first 3 days of hospitalization was significantly associated with lower levels of miR-199a-3p, miR-27a-3p, miR-652-3p, miR-423-5p, and miR-let-7i-5p, while the increase in NGAL was significantly associated with lower levels of miR-18a-5p, miR-106a-5p, miR-223-3p, miR-199a-3p and miR-423-3p. MiR-199a-3p was the strongest predictor of WRF, with an Odds Ratio of 1.48 (1.061-2.065; p-value=0.021) and a C-index of 0.701. CONCLUSIONS: Our results show that the levels of circulating miRNAs at hospital admission for acute HF were consistently lower in patients who developed worsening of renal function. MiR-199a-3p was the best predictor of WRF in these patients.

Optimizing clinical use of biomarkers in high-risk acute heart failure patients.

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.

A combined clinical and biomarker approach to predict diuretic response in acute heart failure.

BACKGROUND: Poor diuretic response in acute heart failure is related to poor clinical outcome. The underlying mechanisms and pathophysiology behind diuretic resistance are incompletely understood. We evaluated a combined approach using clinical characteristics and biomarkers to predict diuretic response in acute heart failure (AHF). METHODS AND RESULTS: We investigated explanatory and predictive models for diuretic response--weight loss at day 4 per 40 mg of furosemide--in 974 patients with AHF included in the PROTECT trial. Biomarkers, addressing multiple pathophysiological pathways, were determined at baseline and after 24 h. An explanatory baseline biomarker model of a poor diuretic response included low potassium, chloride, hemoglobin, myeloperoxidase, and high blood urea nitrogen, albumin, triglycerides, ST2 and neutrophil gelatinase-associated lipocalin (r(2) = 0.086). Diuretic response after 24 h (early diuretic response) was a strong predictor of diuretic response (ß = 0.467, P < 0.001; r(2) = 0.523). Addition of diuretic response after 24 h to biomarkers and clinical characteristics significantly improved the predictive model (r(2) = 0.586, P < 0.001). CONCLUSIONS: Biomarkers indicate that diuretic unresponsiveness is associated with an atherosclerotic profile with abnormal renal function and electrolytes. However, predicting diuretic response is difficult and biomarkers have limited additive value. Patients at risk of poor diuretic response can be identified by measuring early diuretic response after 24 h.

Signature of circulating microRNAs in patients with acute heart failure.

AIMS: Our aim was to identify circulating microRNAs (miRNAs) associated with acute heart failure (AHF). METHODS AND RESULTS: Plasma miRNA profiling included 137 patients with AHF from 3 different cohorts, 20 with chronic heart failure (CHF), 8 with acute exacerbation of COPD, and 41 healthy controls. Levels of circulating miRNAs were measured using quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Plasma levels of miRNAs in patients with AHF were decreased compared with CHF patients or healthy subjects, whereas no significant changes were observed between acute COPD patients and controls. Fifteen miRNAs found in the discovery phase to differ most significantly between healthy controls and patients with AHF were further investigated in an extended cohort of 100 AHF patients at admission and a separate cohort of 18 AHF patients at different time points. Out of these 15 miRNAs, 12 could be confirmed in an additional AHF validation cohort and 7 passed the Bonferroni correction threshold (miR-18a-5p, miR-26b-5p, miR-27a-3p, miR-30e-5p, miR-106a-5p, miR-199a-3p, and miR-652-3p, all P < 0.00005). A further drop in miRNA levels within 48 h after AHF admission was associated with an increased risk of 180-day mortality in a subset of the identified miRNAs. CONCLUSIONS: Declining levels of circulating miRNAs were associated with increasing acuity of heart failure. Early in-hospital decreasing miRNA levels were predictive for mortality in a subset of miRNAs in patients with AHF. The discovered miRNA panel may serve as a launch-pad for molecular pathway studies to identify new pharmacological targets and miRNA-based therapies.

Long-term changes in renal function and perfusion in heart failure patients with reduced ejection fraction.

INTRODUCTION: Little is known about the natural course of renal function and renal hemodynamics in heart failure patients with reduced ejection fraction (HFREF). METHODS AND RESULTS: We prospectively studied effective renal plasma flow (ERPF) and glomerular filtration rate (GFR) in 73 HFREF patients with (125)I-iothalamate/(131)I-hippuran clearances with a mean follow-up of 34.6 ± 4.4 months. Fifteen percent were female, with age 58 ± 12 years and left ventricular ejection fraction (LVEF) 29 ± 10%. Baseline GFR was 81 ± 23 mL/min/1.73 m(2) and declined 0.6 ± 4.7 mL/min/1.73 m(2) per year. Baseline ERPF was 292 ± 83 mL/min/1.73 m(2) and declined 4.3 ± 19 mL/min/1.73 m(2) per year. Of the baseline variables, older age and high urinary kidney injury molecule-1 were the only variables associated with GFR decline (p < 0.05). Following stepwise backward analysis, only age (p < 0.001) remained significant. In addition, we found an association between change in GFR and changes in ERPF, N-terminal pro-brain natriuretic peptide and renovascular resistance. In the multivariable analysis, only the change in ERPF remained significantly associated with a change in GFR (p < 0.001). CONCLUSION: In this cohort of stable chronic HFREF patients, the average decline in GFR over time was small. The decline of GFR was associated with a higher age and a lower baseline GFR, and was strongly related to changes in renal perfusion.

The effect of metformin on cardiovascular risk profile in patients without diabetes presenting with acute myocardial infarction: data from the Glycometabolic Intervention as adjunct to Primary Coronary Intervention in ST Elevation Myocardial Infarction (GIPS-III) trial.

OBJECTIVE: In patients with diabetes mellitus, metformin treatment is associated with reduced mortality and attenuation of cardiovascular risk. As a subanalysis of the Glycometabolic Intervention as adjunct to Primary Coronary Intervention in ST Elevation Myocardial Infarction (GIPS-III) study, we evaluated whether metformin treatment in patients with ST-segment elevation myocardial infarction (STEMI) without diabetes improves the cardiovascular risk profile. METHODS: A total of 379 patients, without known diabetes, presenting with STEMI were randomly allocated to receive metformin 500 mg twice daily or placebo for 4 months. RESULTS: After 4 months, the cardiovascular risk profile of patients receiving metformin (n=172) was improved compared with placebo (n=174); glycated hemoglobin (5.83% (95% CI 5.79% to 5.87%) vs 5.89% (95% CI 5.85% to 5.92%); 40.2 mmol/mol (95% CI 39.8 to 40.6) vs 40.9 mmol/mol (40.4 to 41.2), p=0.049); total cholesterol (3.85 mmol/L (95% CI 3.73 to 3.97) vs 4.02 mmol/L (95% CI 3.90 to 4.14), p=0.045); low-density lipoprotein cholesterol (2.10 mmol/L (95% CI 1.99 to 2.20) vs 2.3 mmol/L (95% CI 2.20 to 2.40), p=0.007); body weight (83.8 kg (95% CI 83.0 to 84.7) vs 85.2 kg (95% CI 84.4 to 86.1), p=0.024); body mass index (26.8 kg/m(2) (95% CI 26.5 to 27.0) vs 27.2 kg/m(2) (95% CI 27.0 to 27.5), p=0.014). Levels of fasting glucose, postchallenge glucose, insulin, high-density lipoprotein cholesterol, and blood pressure were similar in both groups. CONCLUSIONS: Among patients with STEMI without diabetes, treatment with metformin for 4 months resulted in a modest improvement of the cardiovascular risk profile compared with placebo. TRIAL REGISTER NUMBER: NCT01217307.

Diuretic response in acute heart failure-an analysis from ASCEND-HF.

BACKGROUND: Diuretic unresponsiveness often occurs during hospital admission for acute heart failure (AHF) and is associated with adverse outcome. This study aims to investigate determinants, clinical outcome, and the effects of nesiritide on diuretic response early after admission for AHF. METHODS: Diuretic response, defined as weight loss per 40 mg of furosemide or equivalent, was examined from hospital admission to 48 hours in 4,379 patients from the ASCEND-HF trial. As an additional analysis, a urinary diuretic response metric was investigated in 5,268 patients using urine volume from hospital admission to 24 hours per 40 mg of furosemide or equivalent. RESULTS: Mean diuretic response was -0.42 kg/40 mg of furosemide (interquartile range -1.0, -0.05). Poor responders had lower blood pressure, more frequent diabetes, long-term use of loop diuretics, poorer baseline renal function, and lower urine output (all P < .01). Randomized nesiritide treatment was not associated with diuretic response (P = .987). Good diuretic response was independently associated with a significantly decreased risk of 30-day all-cause mortality or heart failure rehospitalization (odds ratio 0.44, 95% CI 0.29-0.65, highest vs lowest quintile, P < .001). Diuretic response based on urine output per 40 mg of furosemide showed similar results in terms of clinical predictors, association with outcome, and the absence of an effect of nesiritide. CONCLUSIONS: Poor diuretic response early after hospital admission for AHF is associated with low blood pressure, renal impairment, low urine output, and an increased risk of death or rehospitalization early after discharge. Nesiritide had a neutral effect on diuretic response.

Diuretic response in acute heart failure-pathophysiology, evaluation, and therapy.

The administration of loop diuretics to achieve decongestion is the cornerstone of therapy for acute heart failure. Unfortunately, impaired response to diuretics is common in these patients and associated with adverse outcomes. Diuretic resistance is thought to result from a complex interplay between cardiac and renal dysfunction, and specific renal adaptation and escape mechanisms, such as neurohormonal activation and the braking phenomenon. However, our understanding of diuretic response in patients with acute heart failure is still limited and a uniform definition is lacking. Three objective methods to evaluate diuretic response have been introduced, which all suggest that diuretic response should be determined based on the effect of diuretic dose administered. Several strategies have been proposed to overcome diuretic resistance, including combination therapy and ultrafiltration, but prospective studies in patients who are truly unresponsive to diuretics are lacking. An enhanced understanding of diuretic response should ultimately lead to an improved, individualized approach to treating patients with acute heart failure.

Diuretic response in acute heart failure: clinical characteristics and prognostic significance.

AIM: Diminished diuretic response is common in patients with acute heart failure, although a clinically useful definition is lacking. Our aim was to investigate a practical, workable metric for diuretic response, examine associated patient characteristics and relationships with outcome. METHODS AND RESULTS: We examined diuretic response (defined as Δ weight kg/40 mg furosemide) in 1745 hospitalized acute heart failure patients from the PROTECT trial. Day 4 response was used to allow maximum differentiation in responsiveness and tailoring of diuretic doses to clinical response, following sensitivity analyses. We investigated predictors of diuretic response and relationships with outcome. The median diuretic response was -0.38 (-0.80 to -0.13) kg/40 mg furosemide. Poor diuretic response was independently associated with low systolic blood pressure, high blood urea nitrogen, diabetes, and atherosclerotic disease (all P < 0.05). Worse diuretic response independently predicted 180-day mortality (HR: 1.42; 95% CI: 1.11-1.81, P = 0.005), 60-day death or renal or cardiovascular rehospitalization (HR: 1.34; 95% CI: 1.14-1.59, P < 0.001) and 60-day HF rehospitalization (HR: 1.57; 95% CI: 1.24-2.01, P < 0.001) in multivariable models. The proposed metric-weight loss indexed to diuretic dose-better captures a dose-response relationship. Model diagnostics showed diuretic response provided essentially the same or slightly better prognostic information compared with its individual components (weight loss and diuretic dose) in this population, while providing a less biased, more easily interpreted signal. CONCLUSIONS: Worse diuretic response was associated with more advanced heart failure, renal impairment, diabetes, atherosclerotic disease and in-hospital worsening heart failure, and predicts mortality and heart failure rehospitalization in this post hoc, hypothesis-generating study.

A novel approach to drug development in heart failure: towards personalized medicine.

Evidence-based treatment has succeeded in improving clinical outcomes in heart failure. Nevertheless, morbidity, mortality, and the economic burden associated with the syndrome remain unsatisfactorily high. Most landmark heart failure studies included broad study populations, and thus current recommendations dictate standardized, universal therapy. While most patients included in recent trials benefit from this background treatment, exceeding this already significant gain has proven to be a challenge. The early identification of responders and nonresponders to treatment could result in improved therapeutic effectiveness, while reduction of unnecessary exposure may limit harmful and unpleasant side effects. In this review, we examine the potential value of currently available information on differential responses to heart failure therapy-a first step toward personalized medicine in the management of heart failure.

Renal impairment, worsening renal function, and outcome in patients with heart failure: an updated meta-analysis.

AIMS: Chronic kidney disease (CKD) and worsening renal function (WRF) have been associated with poor outcome in heart failure (HF). METHODS AND RESULTS: Articles were identified by literature search of MEDLINE (from inception to 1 July 2012) and Cochrane. We included studies on HF patients and mortality risk with CKD and/or WRF. In a secondary analysis, we selected studies investigating predictors of WRF. We retrieved 57 studies (1,076,104 patients) that investigated CKD and 28 studies (49,890 patients) that investigated WRF. The prevalence of CKD was 32% and associated with all-cause mortality: odds ratio (OR) 2.34, 95% confidence interval (CI) 2.20-2.50, P < 0.001). Worsening renal function was present in 23% and associated with unfavourable outcome (OR 1.81, 95% CI 1.55-2.12, P < 0.001). In multivariate analysis, moderate renal impairment: hazard ratio (HR) 1.59, 95% CI 1.49-1.69, P < 0.001, severe renal impairment, HR 2.17, 95% CI 1.95-2.40, P < 0.001, and WRF, HR 1.95, 95% CI 1.45-2.62, P < 0.001 were all independent predictors of mortality. Across studies, baseline CKD, history of hypertension and diabetes, age, and diuretic use were significant predictors for the occurrence of WRF. CONCLUSION: Across all subgroups of patients with HF, CKD, and WRF are prevalent and associated with a strongly increased mortality risk, especially CKD. Specific conditions may predict the occurrence of WRF and thereby poor prognosis.

The Chronic Kidney Disease Epidemiology Collaboration equation outperforms the Modification of Diet in Renal Disease equation for estimating glomerular filtration rate in chronic systolic heart failure.

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 [(125)I]iothalamate clearance (GFR(IOTH)) 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 GFR(IOTH) was 74 ± 27 mL/min/1.73 m(2), and mean estimated GFR was 66 ± 23 mL/min/1.73 m(2) (CKD-EPI) and 63 ± 21 mL/min/1.73m(2) (sMDRD). CKD-EPI showed less bias than sMDRD (-8 ± 15 vs. -11 ± 16 mL/min/1.73 m(2), P < 0.001). Both equations underestimate at higher and overestimate at lower GFR(IOTH). Eleven patients (9%) were accurately reclassified into lower CKD classes with CKD-EPI. Cockcroft-Gault showed lower bias (-3 ± 16 mL/min/1.73 m(2)) but worse precision and accuracy. Cystatin C-based estimation showed the lowest bias (-3 ± 14 mL/min/1.73 m(2)) 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.

Urinary proteins in heart failure.

Renal insufficiency is common in patients with heart failure (HF), with both acute kidney injury and worsening renal function being associated with poor prognosis. The interplay between cardiac and renal failure has been termed the cardiorenal syndrome and is currently the subject of intense investigation. Urinary biochemistry has several advantages over blood or serum analyses, including lower costs, better patient comfort, and higher sensitivity to renal injury. However, urinalysis is currently not part of routine daily practice in cardiology. Recent advances in proteomics have allowed identification of numerous novel urinary biomarkers, many of which show promise in HF populations. In this review, we aim to provide an overview of both traditional and novel urinary biomarkers, examining evidence for diagnostic and prognostic value in HF as well as potential clinical utility.