Cost-effectiveness of natriuretic peptide-based screening and collaborative care: a report from the STOP-HF (St Vincent's Screening TO Prevent Heart Failure) study

A Synopsis of the Evidence for the Science and Clinical Management of Cardiovascular-Kidney-Metabolic (CKM) Syndrome: A Scientific Statement From the American Heart Association

A growing appreciation of the pathophysiological interrelatedness of metabolic risk factors such as obesity and diabetes, chronic kidney disease, and cardiovascular disease has led to the conceptualization of cardiovascular-kidney-metabolic syndrome. The confluence of metabolic risk factors and chronic kidney disease within cardiovascular-kidney-metabolic syndrome is strongly linked to risk for adverse cardiovascular and kidney outcomes. In addition, there are unique management considerations for individuals with established cardiovascular disease and coexisting metabolic risk factors, chronic kidney disease, or both. An extensive body of literature supports our scientific understanding of, and approach to, prevention and management for individuals with cardiovascular-kidney-metabolic syndrome. However, there are critical gaps in knowledge related to cardiovascular-kidney-metabolic syndrome in terms of mechanisms of disease development, heterogeneity within clinical phenotypes, interplay between social determinants of health and biological risk factors, and accurate assessments of disease incidence in the context of competing risks. There are also key limitations in the data supporting the clinical care for cardiovascular-kidney-metabolic syndrome, particularly in terms of early-life prevention, screening for risk factors, interdisciplinary care models, optimal strategies for supporting lifestyle modification and weight loss, targeting of emerging cardioprotective and kidney-protective therapies, management of patients with both cardiovascular disease and chronic kidney disease, and the impact of systematically assessing and addressing social determinants of health. This scientific statement uses a crosswalk of major guidelines, in addition to a review of the scientific literature, to summarize the evidence and fundamental gaps related to the science, screening, prevention, and management of cardiovascular-kidney-metabolic syndrome.

Prediction models for heart failure in the community: A systematic review and meta-analysis

AIMS

Multivariable prediction models can be used to estimate risk of incident heart failure (HF) in the general population. A systematic review and meta-analysis was performed to determine the performance of models.

METHODS AND RESULTS

From inception to 3 November 2022 MEDLINE and EMBASE databases were searched for studies of multivariable models derived, validated and/or augmented for HF prediction in community-based cohorts. Discrimination measures for models with c-statistic data from ≥3 cohorts were pooled by Bayesian meta-analysis, with heterogeneity assessed through a 95% prediction interval (PI). Risk of bias was assessed using PROBAST. We included 36 studies with 59 prediction models. In meta-analysis, the Atherosclerosis Risk in Communities (ARIC) risk score (summary c-statistic 0.802, 95% confidence interval [CI] 0.707-0.883), GRaph-based Attention Model (GRAM; 0.791, 95% CI 0.677-0.885), Pooled Cohort equations to Prevent Heart Failure (PCP-HF) white men model (0.820, 95% CI 0.792-0.843), PCP-HF white women model (0.852, 95% CI 0.804-0.895), and REverse Time AttentIoN model (RETAIN; 0.839, 95% CI 0.748-0.916) had a statistically significant 95% PI and excellent discrimination performance. The ARIC risk score and PCP-HF models had significant summary discrimination among cohorts with a uniform prediction window. 77% of model results were at high risk of bias, certainty of evidence was low, and no model had a clinical impact study.

CONCLUSIONS

Prediction models for estimating risk of incident HF in the community demonstrate excellent discrimination performance. Their usefulness remains uncertain due to high risk of bias, low certainty of evidence, and absence of clinical effectiveness research.

NT-proBNP and All-Cause and Cardiovascular Mortality in US Adults: A Prospective Cohort Study

Background NT-proBNP (N-terminal pro-B-type natriuretic peptide) is strongly associated with mortality in patients with heart failure. Prior studies, primarily in middle-aged and older populations, have suggested that NT-proBNP has prognostic value in ambulatory adults. Methods and Results We conducted a prospective cohort analysis of adults, aged ≥20 years, in the nationally representative 1999 to 2004 National Health and Nutrition Examination Survey, to characterize the association of NT-proBNP with mortality in the general US adult population overall and by age, race and ethnicity, and body mass index. We used Cox regression to characterize associations of NT-proBNP with all-cause and cardiovascular disease (CVD) mortality through 2019, adjusting for demographics and cardiovascular risk factors. We included 10 645 individuals (mean age, 45.7 years; 50.8% women; 72.8% White adults; 8.5% with a self-reported history of CVD). There were 3155 deaths (1009 CVD-related) over a median 17.3 years of follow-up. Among individuals without prior CVD, elevated NT-proBNP (≥75th percentile [81.5 pg/mL] versus <25th percentile [20.5 pg/mL]) was associated with a significantly higher risk of all-cause (hazard ratio [HR], 1.67 [95% CI, 1.39-2.00]) and CVD mortality (HR, 2.87 [95% CI, 1.61-5.11]). Associations of NT-proBNP with all-cause and CVD mortality were generally similar across subgroups defined by age, sex, race and ethnicity, or body mass index (all P interaction >0.05). Conclusions In a representative sample of the US adult population, NT-proBNP was an important independent risk factor for all-cause and CVD mortality. NT-proBNP may be useful for monitoring risk in the general adult population.

An update on utilising brain natriuretic peptide for risk stratification, monitoring and guiding therapy in heart failure

INTRODUCTION

Heart failure (HF) is a dominant health problem with an overall poor prognosis. Natriuretic peptides (NPs) are upregulated in HF as a compensatory mechanism. They have extensively been used for diagnosis and risk stratification.

AREAS COVERED

This review addresses the history and physiology of NPs in order to understand their current role in clinical practice. It further provides a detailed and updated narrative review on the utility of those biomarkers for risk stratification, monitoring, and guiding therapy in HF.

EXPERT OPINION

NPs show excellent predictive ability in heart failure patients, both in acute and chronic settings. Understanding their pathophysiology and their modifications in specific situations is key for an adequate interpretation in specific clinical scenarios in which their prognostic value may be weaker or less well evaluated. To better promote risk stratification in HF, NPs should be integrated with other predictive tools to develop multiparametric risk models. Both inequalities of access to NPs and evidence caveats and limitations will need to be addressed by future research in the coming years.

Heart failure with reduced ejection fraction and the intersection of cardio-renal-metabolic medicine #CaReMe

Diabetes and chronic kidney disease (CKD) are important comorbidities in patients with heart failure (HF) that can complicate the clinical management and have major implications for morbidity and mortality. In addition, the presence of these comorbidities, particularly advanced CKD, is a limitation for the implementation of guideline-directed therapies in patients with HF with reduced ejection fraction (HFrEF). Though clinical trials in patients with HFrEF trials included varying percentages of patients with diabetes and/or CKD, patients with advanced CKD have been excluded in most HF studies. Thus, management recommendations for these patients often have to be extrapolated from subgroup analyses. This article summarizes pathophysiological aspects of the interaction of HFrEF, CKD, and diabetes and addresses clinical aspects for the screening of these comorbidities. Moreover, current treatment options for patients with HFrEF and CKD and/or diabetes are discussed and novel strategies such as the use of the selective mineralocorticoid receptor antagonist Finerenone are addressed.

Elevated NT-ProBNP as a Cardiovascular Disease Risk Equivalent: Evidence from the Atherosclerosis Risk in Communities (ARIC) Study

BACKGROUND

It remains unclear whether elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP) can serve as a "risk equivalent" for cardiovascular disease to adults at high cardiovascular risk.

METHODS

We included 9789 participants (mean age 63.2 years, 55% women, 19.4% Black, 13% with a history of cardiovascular disease) who attended Atherosclerosis Risk in Communities Study Visit 4 (1996-1998). We classified participants as having a history of cardiovascular disease at baseline and, among those without cardiovascular disease, we defined categories of NT-proBNP (<125, 125-449, ≥450 pg/mL). We used Cox regression to estimate associations of NT-proBNP with incident cardiovascular disease and mortality.

RESULTS

Over a median 20.5 years of follow-up, there were 4562 deaths (917 cardiovascular deaths). There were 2817 first events and 806 recurrent events (in those with a history of cardiovascular disease at baseline). Among individuals without a history of cardiovascular disease, those adults with NT-proBNP ≥450 pg/mL had significantly higher risks of all-cause death (hazard ratio [HR] 2.12; 95% confidence interval [CI], 1.78-2.53), cardiovascular mortality (HR 2.92; 95% CI, 2.15-3.97), incident total cardiovascular disease (HR 2.59; 95% CI, 2.13-3.16), atherosclerotic cardiovascular disease (HR 2.20; 95% CI, 1.72-2.80), and heart failure (HR 3.81; 95% CI, 3.01-4.81), compared with individuals with NT-proBNP <125 pg/mL. The elevated cardiovascular risk in persons with high NT-proBNP and no history of cardiovascular disease was similar to, or higher than, the risk conferred by a history of cardiovascular disease.

CONCLUSIONS

Our findings suggest that it might be appropriate to manage adults with NT-proBNP ≥450 pg/mL as if they had a history of clinical cardiovascular disease.

Incorporation of natriuretic peptides with clinical risk scores to predict heart failure among individuals with dysglycaemia

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.

LVS-HARMED Risk Score for Incident Heart Failure in Patients With Atrial Fibrillation Who Present to the Emergency Department: Data from a World-Wide Registry

Background Heart failure (HF) is a common complication to atrial fibrillation (AF), leading to rehospitalization and death. Early identification of patients with AF at risk for HF might improve outcomes. We aimed to derive a score to predict 1-year risk of new-onset HF after an emergency department (ED) visit with AF. Methods and Results The RE-LY AF (Randomized Evaluation of Long-Term Anticoagulant Therapy) registry enrolled patients with AF presenting to an ED in 47 countries, and followed them for a year. The end point was HF hospitalization and/or HF death. Among 15 400 ED patients, 9765 had no prior HF (mean age, 64.9±14.9 years). Within 1 year, new-onset HF developed in 6.8% of patients, of whom 21% died of HF. Independent predictors of HF included left ventricular hypertrophy (odds ratio [OR], 1.47; 95% CI, 1.19-1.82), valvular heart disease (OR, 1.55; 95% CI, 1.18-2.04), smoking (OR, 1.42; 95% CI, 1.12-1.78), height (OR, 0.93; 95% CI, 0.90-0.95 per 3 cm), age (OR, 1.11; 95% CI, 1.07-1.15 per 5 years), rheumatic heart disease (OR, 1.77, 95% CI, 1.24-2.51), prior myocardial infarction (OR, 1.85; 95% CI, 1.45-2.36), remaining in AF at ED discharge (OR, 1.86; 95% CI, 1.46-2.36), and diabetes (OR, 1.33; 95% CI, 1.09-1.64). A continuous risk prediction score (LVS-HARMED [left ventricular, valvular heart disease, smoking or other tobacco use, height, age, rheumatic heart disease, myocardial infarction, emergency department discharge rhythm, and diabetes]) had good discrimination (C statistic, 0.735; 95% CI, 0.716-0.755). Validation was conducted internally using bootstrapping (optimism-corrected C statistic, 0.705) and externally (C statistic, 0.699). The 1-year incidence of HF hospitalization and/or HF death across quartile groups of the score was 1.1%, 4.5%, 6.9%, and 14.4%, respectively. LVS-HARMED also predicted incident stroke (C statistic, 0.753; 95% CI, 0.728-0.778). Conclusions The LVS-HARMED score predicts new-onset HF after an ED visit for AF. Preventative strategies should be considered in patients with high LVS-HARMED HF risk.

Heart failure risk estimation based on novel biomarkers

Introduction: Despite advances in medical care, heart failure (HF)-associated morbidity and mortality remains high. Consequently, there is increased effort to find better ways for predicting, screening, and prognosticating HF in order to facilitate effective primary and secondary prevention.Areas covered: In this review, we describe the various biomarkers associated with different etiologic pathways implicated in HF, and discuss their roles in screening, diagnosing, prognosticating and predicting HF. We explore the emerging role of multi-omic approaches. We performed electronic searches in databases (PubMed and Google Scholar) through December 2020, using the following key terms: biomarker, novel, heart failure, risk, prediction, and estimation.Circulating BNP and troponin concentrations have been established in clinical care as key biomarkers for diagnosing and prognosticating HF. Emerging biomarkers (such as galectin-3 and ST-2) have gained further recognition for use in evaluating prognosis of HF patients. Promising biomarkers that are yet to be part of clinical recommendations include biomarkers of cardiorenal disease.Expert opinion: Increasing recognition of the complex and interdependent nature of pathophysiological pathways of HF has led to the application of multi-marker approaches including multi-omic high throughput assays. These newer approaches have the potential for new therapeutic discoveries and improving precision medicine in HF.

Multiplexed measurement of candidate blood protein biomarkers of heart failure

AIMS

There is a critical need for better biomarkers so that heart failure can be diagnosed at an earlier stage and with greater accuracy. The purpose of this study was to design a robust mass spectrometry (MS)-based assay for the simultaneous measurement of a panel of 35 candidate protein biomarkers of heart failure, in blood. The overall aim was to evaluate the potential clinical utility of this biomarker panel for prediction of heart failure in a cohort of 500 patients.

METHODS AND RESULTS

Multiple reaction monitoring (MRM) MS assays were designed with Skyline and Spectrum Mill PeptideSelector software and developed using nanoflow reverse phase C18 chromatographic Chip Cube-based separation, coupled to a 6460 triple quadrupole mass spectrometer. Optimized MRM assays were applied, in a sample-blinded manner, to serum samples from a cohort of 500 patients with heart failure and non-heart failure (non-HF) controls who had cardiovascular risk factors. Both heart failure with reduced ejection fraction (HFrEF) patients and heart failure with preserved ejection fraction (HFpEF) patients were included in the study. Peptides for the Apolipoprotein AI (APOA1) protein were the most significantly differentially expressed between non-HF and heart failure patients (P = 0.013 and P = 0.046). Four proteins were significantly differentially expressed between non-HF and the specific subtypes of HF (HFrEF and HFpEF); Leucine-rich-alpha-2-glycoprotein (LRG1, P < 0.001), zinc-alpha-2-glycoprotein (P = 0.005), serum paraoxanse/arylesterase (P = 0.013), and APOA1 (P = 0.038). A statistical model found that combined measurements of the candidate biomarkers in addition to BNP were capable of correctly predicting heart failure with 83.17% accuracy and an area under the curve (AUC) of 0.90. This was a notable improvement on predictive capacity of BNP measurements alone, which achieved 77.1% accuracy and an AUC of 0.86 (P = 0.005). The protein peptides for LRG1, which contributed most significantly to model performance, were significantly associated with future new onset HF in the non-HF cohort [Peptide 1: odds ratio (OR) 2.345 95% confidence interval (CI) (1.456-3.775) P = 0.000; peptide 2: OR 2.264 95% CI (1.422-3.605), P = 0.001].

CONCLUSIONS

This study has highlighted a number of promising candidate biomarkers for (i) diagnosis of heart failure and subtypes of heart failure and (ii) prediction of future new onset heart failure in patients with cardiovascular risk factors. Furthermore, this study demonstrates that multiplexed measurement of a combined biomarker signature that includes BNP is a more accurate predictor of heart failure than BNP alone.

Point-of-care testing of (N-terminal pro) B-type natriuretic peptide for heart disease patients in home care and ambulatory care settings

Objectives

The role of point-of-care testing (POCT) out of hospital, especially in home care and ambulatory care settings, is an issue meriting further research. We reviewed studies reporting cardiovascular events as a result of the implementation of B-type natriuretic peptide or N-terminal pro B-type natriuretic peptide POCT (BNP/NT-proBNP POCT) for heart disease patients in the settings.

Design

Articles were searched via a PubMed engine until May 30, 2020.

Results

In total, six studies were selected. Three studies involving ambulatory care used the POCT to refer patients with suspected heart diseases to a specialist. The other three used the tests in home care to monitor patients with heart failure. In ambulatory care, the randomized controlled trials, in which referrals were made to a specialist, showed that the group using POCT had significantly fewer cardiovascular outcomes, such as hospitalizations and deaths, than the non-use group. In home care, adverse outcomes were predicted from changes in BNP levels.

Conclusions

In most studies, the use of BNP/NT-proBNP POCT in home care and ambulatory care settings demonstrated favorable results regarding the cardiovascular outcomes. The utility of POCT in the settings is suggested, while more investigations are required.

•

Point-of-care testing of BNP can be useful for referral of patients to specialists as demonstrated in two randomized control trials.

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Point-of-care testing of BNP couldpredict acute heart failure as demonstrated in three observational studies.

•

The findings should be generalized with care because of the limitation of available data.

Diagnostic accuracy and clinical impact of natriuretic peptide screening for the detection of heart failure in the community: a protocol for systematic review and meta-analysis

Introduction: Patients diagnosed with heart failure in primary care have a better prognosis than those diagnosed in hospital. However, most cases are missed in the community. Recent attention has focussed on the potential of early detection through screening. Natriuretic peptides (NPs) are tested by GPs and used to rule out heart failure in patients presenting with symptoms. Evidence is now emerging that they may also have a role in screening but their accuracy in this context and the associated optimal thresholds, have not been established. The impact that NP screening would have on patients and health care systems also remains unclear. Methods: We aim to undertake a systematic search of the following sources: Ovid Medline, Embase, Cochrane Database of Systematic Reviews and Cochrane Central Register of Controlled Trials. Screening, data extraction and critical appraisal will be carried out independently and in duplicate by two reviewers. We will include studies based in the community with >100 participants that recruited a screened population. We will not add a study design filter and there will be no language restriction. The primary outcome will be the sensitivity and the specificity of NP screening and optimal thresholds for screening will be explored. Outcomes of interest for the impact analysis will include mortality, hospital admissions and cost effectiveness. This protocol has been developed in accordance with guidelines from the preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P). Discussion: This systematic review will identify how accurately NP screen for heart failure in the community and explore where NP screening thresholds should be set. It also aims to summarise the clinical impact of this strategy. Together, these results should inform future interventions that may provide an alternative pathway to facilitate improved detection of heart failure in the community. Registration: PROSPERO CRD42018087498; registered on 11 May 2018.

Diagnostic accuracy and clinical impact of natriuretic peptide screening for the detection of heart failure in the community: a protocol for systematic review and meta-analysis

Introduction: Patients diagnosed with heart failure in primary care have a better prognosis than those diagnosed in hospital. However, most cases are missed in the community. Recent attention has focussed on the potential of early detection through screening. Natriuretic peptides (NPs) are tested by GPs and used to rule out heart failure in patients presenting with symptoms. Evidence is now emerging that they may also have a role in screening but their accuracy in this context and the associated optimal thresholds, have not been established. The impact that NP screening would have on patients and health care systems also remains unclear. Methods: We aim to undertake a systematic search of the following sources: Ovid Medline, Embase, Cochrane Database of Systematic Reviews and Cochrane Central Register of Controlled Trials. Screening, data extraction and critical appraisal will be carried out independently and in duplicate by two reviewers. We will include studies based in the community with >100 participants that recruited a screened population. We will not add a study design filter and there will be no language restriction. The primary outcome will be the sensitivity and the specificity of NP screening and optimal thresholds for screening will be explored. Outcomes of interest for the impact analysis will include mortality, hospital admissions and cost effectiveness. This protocol has been developed in accordance with guidelines from the preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P). Discussion: This systematic review will identify how accurately NP screen for heart failure in the community and explore where NP screening thresholds should be set. It also aims to summarise the clinical impact of this strategy. Together, these results should inform future interventions that may provide an alternative pathway to facilitate improved detection of heart failure in the community. Registration: PROSPERO CRD42018087498; registered on 11 May 2018.

Natriuretic peptide-guided treatment for the prevention of cardiovascular events in patients without heart failure

BACKGROUND

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally. Early intervention for those with high cardiovascular risk is crucial in improving patient outcomes. Traditional prevention strategies for CVD have focused on conventional risk factors, such as overweight, dyslipidaemia, diabetes, and hypertension, which may reflect the potential for cardiovascular insult. Natriuretic peptides (NPs), including B-type natriuretic peptide (BNP) and N-terminal pro B-type natriuretic peptide (NT-proBNP), are well-established biomarkers for the detection and diagnostic evaluation of heart failure. They are of interest for CVD prevention because they are secreted by the heart as a protective response to cardiovascular stress, strain, and damage. Therefore, measuring NP levels in patients without heart failure may be valuable for risk stratification, to identify those at highest risk of CVD who would benefit most from intensive risk reduction measures.

OBJECTIVES

To assess the effects of natriuretic peptide (NP)-guided treatment for people with cardiovascular risk factors and without heart failure.

SEARCH METHODS

Searches of the following bibliographic databases were conducted up to 9 July 2019: CENTRAL, MEDLINE, Embase, and Web of Science. Three clinical trial registries were also searched in July 2019.

SELECTION CRITERIA

We included randomised controlled trials enrolling adults with one or more cardiovascular risk factors and without heart failure, which compared NP-based screening and subsequent NP-guided treatment versus standard care in all settings (i.e. community, hospital).

DATA COLLECTION AND ANALYSIS

Two review authors independently screened titles and abstracts and selected studies for inclusion, extracted data, and evaluated risk of bias. Risk ratios (RRs) were calculated for dichotomous data, and mean differences (MDs) with 95% confidence intervals (CIs) were calculated for continuous data. We contacted trial authors to obtain missing data and to verify crucial study characteristics. Using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach, two review authors independently assessed the quality of the evidence and GRADE profiler (GRADEPRO) was used to import data from Review Manager to create a 'Summary of findings' table.

MAIN RESULTS

We included two randomised controlled trials (three reports) with 1674 participants, with mean age between 64.1 and 67.8 years. Follow-up ranged from 2 years to mean 4.3 years.For primary outcome measures, effect estimates from a single study showed uncertainty for the effect of NP-guided treatment on cardiovascular mortality in patients with cardiovascular risk factors and without heart failure (RR 0.33, 95% CI 0.04 to 3.17; 1 study; 300 participants; low-quality evidence). Pooled analysis demonstrated that in comparison to standard care, NP-guided treatment probably reduces the risk of cardiovascular hospitalisation (RR 0.52, 95% CI 0.40 to 0.68; 2 studies; 1674 participants; moderate-quality evidence). This corresponds to a risk of 163 per 1000 in the control group and 85 (95% CI 65 to 111) per 1000 in the NP-guided treatment group.When secondary outcome measures were evaluated, evidence from a pooled analysis showed uncertainty for the effect of NP-guided treatment on all-cause mortality (RR 0.90, 95% CI 0.60 to 1.35; 2 studies; 1354 participants; low-quality evidence). Pooled analysis indicates that NP-guided treatment probably reduces the risk of all-cause hospitalisation (RR 0.83, 95% CI 0.75 to 0.92; 2 studies; 1354 participants; moderate-quality evidence). This corresponds to a risk of 601 per 1000 in the control group and 499 (95% CI 457 to 553) per 1000 in the NP-guided treatment group. The effect estimate from a single study indicates that NP-guided treatment reduced the risk of ventricular dysfunction (RR 0.61, 95% CI 0.41 to 0.91; 1374 participants; high-quality evidence). The risk in this study's control group was 87 per 1000, compared with 53 (95% CI 36 to 79) per 1000 with NP-guided treatment. Results from the same study show that NP-guided treatment does not affect change in NP level at the end of follow-up, relative to standard care (MD -4.06 pg/mL, 95% CI -15.07 to 6.95; 1 study; 1374 participants; moderate-quality evidence).

AUTHORS' CONCLUSIONS

This review shows that NP-guided treatment is likely to reduce ventricular dysfunction and cardiovascular and all-cause hospitalisation for patients who have cardiovascular risk factors and who do not have heart failure. Effects on mortality and natriuretic peptide levels are less certain. Neither of the included studies were powered to evaluate mortality. Available evidence shows uncertainty regarding the effects of NP-guided treatment on both cardiovascular mortality and all-cause mortality; very low event numbers resulted in a high degree of imprecision in these effect estimates. Evidence also shows that NP-guided treatment may not affect NP level at the end of follow-up.As both trials included in our review were pragmatic studies, non-blinding of patients and practices may have biased results towards a finding of equivalence. Further studies with more adequately powered sample sizes and longer duration of follow-up are required to evaluate the effect of NP-guided treatment on mortality. As two trials are ongoing, one of which is a large multi-centre trial, it is hoped that future iterations of this review will benefit from larger sample sizes across a wider geographical area.

Comparing the influence of 2009 versus 2016 ASE/EACVI diastolic function guidelines on the prevalence and echocardiographic characteristics of preclinical diastolic dysfunction (stage B heart failure) in a Hispanic population with type 2 diabetes mellitus

AIMS

To identify prevalence and predictors of undetected pre-clinical diastolic dysfunction (PDD) in a cohort of adult Hispanic patients with type 2 diabetes (T2D), and compare variations in epidemiology and echocardiographic characteristics between categorization based on the 2009 versus 2016 guidelines.

METHODS

From 2013 to 2016, a cross-sectional cohort study of adults with T2D was performed. Patients without signs/symptoms of heart failure (HF) underwent 2D/Doppler echocardiographic screening, and were grouped into two subcohorts: 1) normal diastolic function, and 2) PDD, defined by the 2009 or 2016 ASE/EACVI criteria.

RESULTS

Among 307 Hispanic subjects, by 2009 criteria, 193 (62.9%) had normal diastolic function, 113 (36.8%) diastolic dysfunction and 1 (0.3%) indeterminate. Those that had diastolic dysfunction (DD) were older (mean age 59.1 ± 12.7 vs 52.2 ± 12.2 years, p< 0.0001), with higher proportion female (69.0 vs 53.9%, p = 0.0092), and higher systolic blood pressure (136.5 ± 18.6 vs 131.7 ± 19.9, p = 0.0372). By 2016 criteria, 261 (85%) had normal diastolic function, 22 (7.2%) diastolic dysfunction and 24 (7.8%) indeterminate. Among those that had normal diastolic function (n = 261) by 2016 criteria, 29% (n = 76) had DD by 2009 criteria, and they were more likely to have higher E/e' and left atrial volume index (LAVI).

CONCLUSIONS

By applying the 2016 versus the 2009 diastolic function criteria to a Hispanic population with T2D, the prevalence of PDD decreased significantly from 37% to 7%. These findings are consistent with recent studies demonstrating that the 2016 ASE/EACVI guidelines are more specific for diagnosing DD and hence less sensitive leading to lower prevalence of diastolic dysfunction.

Developing a disease management program for the improvement of heart failure outcomes: the do's and the don'ts

INTRODUCTION

Heart failure is a highly prevalent condition affecting approximately 2% of people worldwide. Heart failure disease management programs (DMP) have shown a reduction in mortality and reduced hospitalization and are an established part of clinical guidelines; however, their presence is not widespread. Focusing on the application of proven therapies, patient education, diagnosis with work up of cause and easy access for clinical deterioration should be fundamental to the structure of the DMP. Multidisciplinary team care with early and timely recognition of potentially critical patients is essential, along with the inclusion of patients diagnosed in hospital as well as the community. Areas covered: The fundamental structure of a DMP along with the current gaps in evidence is outlined. Current challenges with the heart failure condition along with the current best evidence are covered. Articles were searched using MEDLINE containing the keywords; Chronic Heart Failure, Disease Management Program. We have also provided clinical opinion. Expert opinion: A multidisciplinary approach to disease management programs is essential to providing adequate care to patients. DMPs are an established part of current guidelines and should be a benchmark of treatment. Future resources should be focused on identifying patients at risk and early prevention.

Natriuretic Peptides in Chronic Heart Failure

Normal brain natriuretic peptide (BNP) and N-terminal proBNP (NT-proBNP) levels are helpful in excluding chronic heart failure in the ambulatory setting, although they have been studied less well and possibly less accurately than in acute care. They may also be of help in screening patients at risk to intervene and reduce the development of heart failure. Natriuretic peptides are also excellent prognostic markers of chronic heart failure, but the clinical value of such prognostic information is less clear. One possible application for this information is guiding medical therapy in chronic heart failure. Many studies have investigated this approach, but results are mixed and do not clearly show improvement in outcome. Still, it may be that in patients with reduced ejection fraction and few comorbidities, measuring NT-proBNP to uptitrate medication improves prognosis.

Mass spectrometry-based peptidome profiling of human serous ovarian cancer tissues

BACKGROUND

Bioactive peptides existing in vivo have been considered as an important class of natural medicines for the treatment of diseases. Peptidome analysis of tissues and biofluids had provided important information about the differentially expressed bioactive peptides in vivo.

METHODS

Here, we analyzed the peptidome of serous ovarian cancer tissue samples and normal ovarian epithelial tissue samples by mass spectrometry and further investigated the possible bioactive peptides that were differentially expressed.

RESULTS

We identified 634 differentially expressed peptides, 508 of these peptides were highly abundant in serous ovarian cancer tissues, a result consistent with higher protease activity in ovarian cancer patients. The difference in preferred cleavage sites between the serous ovarian cancer tissues and normal ovarian epithelium indicated the characteristic peptidome of ovarian cancer and the nature of cancer-associated protease activity. Interestingly, KEGG pathway analysis of the peptide precursors indicated that the differentially regulated pathways in ovarian cancer are highly consistent with the pathways discovered in other cancers. Besides, we found that a proportion of the differentially expressed peptides are similar to the known immune-regulatory peptides and anti-bacterial peptides. Then we further investigated the function of the two down-regulated peptides in ovarian cancer cells and found that peptide P1DS significantly inhibited the invasion and migration of OVCAR3 and SKOV3 ovarian cancer cells.

CONCLUSIONS

Our results are the first to identify the differentially expressed peptides between the serous ovarian cancer tissue and the normal ovarian epithelium. Our results indicate that bioactive peptides involved in tumorigenesis are existed in vivo.

Natriuretic Peptide-based Screening and Prevention of Heart Failure

There is increasing interest in the concept of personalised medicine, whereby conditions with common pathophysiologies are targeted together, and also using biomarkers to identify patients who will most benefit from certain interventions. Several data sets indicate that natriuretic peptides are effective in refining risk prediction for heart failure and cardiovascular disease and add predictive power to conventional risk factors. To date two trials have tested the approach of using natriuretic peptides as part of a strategy to identify those at highest risk of cardiovascular events: St. Vincent's Screening to Prevent Heart Failure (STOP-HF) and N-terminal Pro-brain Natriuretic Peptide Guided Primary Prevention of Cardiovascular Events in Diabetic Patients (PONTIAC). These have shown natriuretic peptide-based screening and targeted prevention can reduce heart failure and left ventricular dysfunction and other major cardiovascular events. This approach is now part of North American guidelines.

Evolving Use of Natriuretic Peptides as Part of Strategies for Heart Failure Prevention

BACKGROUND

Heart failure (HF) remains one of the major cardiovascular challenges to the Western world. Once established, HF is characterized by compromised life expectancy and quality of life with considerable dependence on hospital care for episodic clinical deterioration. Much is understood about the risk factors that predispose to the development of HF. With such a broad range of factors, it is clear that there is a large population at risk, potentially in excess of 25% of the adult population. Therein lies the major challenge at the outset of our efforts to prevent HF. With such a large population at risk, how do we develop an effective prevention strategy?

CONTENT

HF prevention requires a multimodal approach. In this review, we focus primarily on the role of natriuretic peptide (NP) as a tool in a prevention strategy.

SUMMARY

Prevention of HF is a major public health challenge, underlined by the concerning epidemiological trends, the associated costs, and the continued difficulty to find effective therapies for the growing number of patients with preserved systolic function HF. Population-based approaches focusing on lifestyle and risk factor control have made some impact but not to a satisfactory level and also tend to result in a uniform approach across a population with different risk profiles. Individualizing risk is therefore required, with emerging data indicating that NP-guided risk stratification and intervention can reduce downstream incident HF and other cardiovascular events.

Heart failure 2016: still more questions than answers

Heart failure has reached epidemic proportions given the ageing of populations and is associated with high mortality and re-hospitalization rates. This article reviews and summarizes recent advances in the diagnosis, assessment and treatment of the patients with heart failure. Data are discussed based also on the most recent guidelines indications. Open issues and unmet needs are highlighted.

Natriuretic peptides and integrated risk assessment for cardiovascular disease: an individual-participant-data meta-analysis

BACKGROUND

Guidelines for primary prevention of cardiovascular diseases focus on prediction of coronary heart disease and stroke. We assessed whether or not measurement of N-terminal-pro-B-type natriuretic peptide (NT-proBNP) concentration could enable a more integrated approach than at present by predicting heart failure and enhancing coronary heart disease and stroke risk assessment.

METHODS

In this individual-participant-data meta-analysis, we generated and harmonised individual-participant data from relevant prospective studies via both de-novo NT-proBNP concentration measurement of stored samples and collection of data from studies identified through a systematic search of the literature (PubMed, Scientific Citation Index Expanded, and Embase) for articles published up to Sept 4, 2014, using search terms related to natriuretic peptide family members and the primary outcomes, with no language restrictions. We calculated risk ratios and measures of risk discrimination and reclassification across predicted 10 year risk categories (ie, <5%, 5% to <7·5%, and ≥7·5%), adding assessment of NT-proBNP concentration to that of conventional risk factors (ie, age, sex, smoking status, systolic blood pressure, history of diabetes, and total and HDL cholesterol concentrations). Primary outcomes were the combination of coronary heart disease and stroke, and the combination of coronary heart disease, stroke, and heart failure.

FINDINGS

We recorded 5500 coronary heart disease, 4002 stroke, and 2212 heart failure outcomes among 95 617 participants without a history of cardiovascular disease in 40 prospective studies. Risk ratios (for a comparison of the top third vs bottom third of NT-proBNP concentrations, adjusted for conventional risk factors) were 1·76 (95% CI 1·56-1·98) for the combination of coronary heart disease and stroke and 2·00 (1·77-2·26) for the combination of coronary heart disease, stroke, and heart failure. Addition of information about NT-proBNP concentration to a model containing conventional risk factors was associated with a C-index increase of 0·012 (0·010-0·014) and a net reclassification improvement of 0·027 (0·019-0·036) for the combination of coronary heart disease and stroke and a C-index increase of 0·019 (0·016-0·022) and a net reclassification improvement of 0·028 (0·019-0·038) for the combination of coronary heart disease, stroke, and heart failure.

INTERPRETATION

In people without baseline cardiovascular disease, NT-proBNP concentration assessment strongly predicted first-onset heart failure and augmented coronary heart disease and stroke prediction, suggesting that NT-proBNP concentration assessment could be used to integrate heart failure into cardiovascular disease primary prevention.

FUNDING

British Heart Foundation, Austrian Science Fund, UK Medical Research Council, National Institute for Health Research, European Research Council, and European Commission Framework Programme 7.

The healthcare costs of heart failure during the last five years of life: A retrospective cohort study

BACKGROUND

Evidence on the economic impact of heart failure (HF) is vital in order to predict the cost-effectiveness of novel interventions. We estimate the health system costs of HF during the last five years of life.

METHODS

We used linked primary care and mortality data accessed through the Clinical Practice Research Datalink (CPRD) to identify 1555 adults in England who died with HF in 2012/13. We used CPRD and linked Hospital Episode Statistics to estimate the cost of medications, primary and hospital healthcare. Using GLS regression we estimated the relationship between costs, HF diagnosis, proximity to death and patient characteristics.

RESULTS

In the last 3months of life, healthcare costs were £8827 (95% CI £8357 to £9296) per patient, more than 90% of which were for inpatient or critical care. In the last 3months, patients spent on average 17.8 (95% CI 16.8 to 18.8) days in hospital and had 8.8 (95% CI 8.4 to 9.1) primary care consultations. Most (931/1555; 59.9%) patients were in hospital on the day of death. Mean quarterly healthcare costs in quarters after HF diagnosis were higher (£1439; [95% CI £1260 to £1619]) than in quarters preceding diagnosis. Older patients and patients with lower comorbidity scores had lower costs.

CONCLUSIONS

Healthcare costs increase sharply at the end of life and are dominated by hospital care. There is potential to save money by implementation and evaluation of interventions that are known to reduce hospitalisations for HF, particularly at the end of life.

How peptide technology has improved costs and outcomes in patients with heart failure

INTRODUCTION

Heart failure (HF) is characterized by substantial health and economic burden, mainly attributed to increased hospitalizations and readmissions. Its diagnosis remains challenging due to the non-specific nature of the initial symptoms of the disease. Recently, scientific evidence has highlighted the potential of natriuretic peptides (NP) in improving the diagnosis and prognosis of HF and, by extension, in restraining healthcare costs. The present review aimed at providing evidence of their optimal use in terms of economic and health outcomes.

AREAS COVERED

Systematic literature research limited to studies published from February 2006 to February 2016 was performed with the aim of identifying and analyzing all cost-effectiveness and other economic evaluation studies that investigated the economic and health outcomes of NPs use as screening and management tools for HF. Expert commentary: NP testing either added in the standard of care, or substituting frequently used diagnostic procedures for the diagnosis and management of HF, regardless of the healthcare setting of interest, was proved to be a valid tool for clinical decision-making. Moreover it was associated with improved patient outcomes and important cost-savings mainly attributed to lower admission and readmission rates, shorter hospitalization length and improved health-related quality of life.

Cost-effectiveness of screening strategies to detect heart failure in patients with type 2 diabetes

BACKGROUND

Heart failure (HF), especially with preserved ejection fraction (HFpEF) is common in older patients with type 2 diabetes (T2DM), but often not recognized. Early HF detection in older T2DM patients may be worthwhile because treatment may be initiated in an early stage, with clear beneficial treatment in those with reduced ejection fraction (HFrEF), but without clear prognostic beneficial treatment in those with HFpEF. Because both types of HF may be uncovered in older T2DM, screening may improve health outcomes at acceptable costs. We assessed the cost-effectiveness of five screening strategies in patients with T2DM aged 60 years or over.

METHODS

We built a Markov model with a lifetime horizon based on the prognostic results from our screening study of 581 patients with T2DM, extended with evidence from literature. Cost-effectiveness was calculated from a Dutch healthcare perspective as additional costs (Euros) per additional quality-adjusted life-year (QALY) gained. We performed probabilistic sensitivity analysis to assess robustness of these outcomes. Scenario analyses were performed to assess the influence of the availability of effective treatment of heart failure with preserved ejection fraction.

RESULTS

For willingness to pay values in the range of €6050/QALY-€31,000/QALY for men and €6300/QALY-€42,000/QALY for women, screening-based checking the electronic medical record for patient characteristics and medical history plus the assessment of symptoms had the highest probability of being cost-effective. For higher willingness-to-pay values, direct echocardiography was the preferred screening strategy. Cost-effectiveness of all screening strategies improved with the increase in effectiveness of treatment for HFpEF.

CONCLUSIONS

Screening for HF in older community-dwelling patients with T2DM is cost-effective at the commonly used willingness-to-pay threshold of €20.000/QALY by checking the electronic medical record for patient characteristics and medical history plus the assessment of symptoms. The simplicity of such a strategy makes it feasible for implementation in existing primary care diabetes management programs.