Multimarker strategy for short-term risk assessment in patients with dyspnea in the emergency department: the MARKED (Multi mARKer Emergency Dyspnea)-risk score

The Predictive Role of Lactate in the Emergency Department in Patients with Severe Dyspnea

Objective

An accurate identification of patients at the need for prioritized diagnostics and care are crucial in the emergency department (ED). Blood gas (BG) analysis is a widely available laboratory test, which allows to measure vital parameters, including markers of ventilation and perfusion. The aim of our analysis was to assess whether blood gas parameters in patients with dyspnea at an increased risk of respiratory failure admitted to the ED can predict short-term outcomes.

Methods

The study group eventually consisted of 108 patients, with available BG analysis. The clinical and laboratory parameters were retrospectively evaluated, and three groups were distinguished-arterial blood gas (ABG), venous blood gas (VBG), and mixed blood gas. The primary endpoint was short-term, all-cause mortality during the follow-up of median (quartile 1-quartile 3) 2 (1-4) months. The independent risk factors for mortality that could be obtained from blood gas sampling were evaluated.

Results

The short-term mortality was 35.2% (38/108). Patients who died were more frequently initially assigned to the red triage risk group, more burdened with comorbidities, and the median SpO2 on admission was significantly lower than in patients who survived the follow-up period. In the multivariable analysis, lactate was the strongest independent predictor of death, with 1 mmol/L increasing all-cause mortality by 58% in ABG (95% CI: 1.01-2.47), by 80% in VBG (95% CI: 1.13-2.88), and by 68% in the mixed blood gas analysis (95% CI: 1.22-2.31), what remained significant in VBG and mixed group after correction for base excess. In each group, pH, pO2, and pCO2 did not predict short-term mortality.

Conclusions

In patients admitted to the ED due to dyspnea, at risk of respiratory failure, lactate levels in arterial, venous, and mixed blood samples are independent predictors of short-term mortality.

Head-to-head comparison of diagnostic scores for acute heart failure in the emergency department: results from the PARADISE cohort

BREST and PREDICA scores have recently emerged for the diagnosis of acute heart failure (AHF) in the emergency department (ED). This study aimed to perform a head-to-head comparison in a large contemporary cohort. BREST and PREDICA scores were calculated from, respectively, 11 and 8 routine clinical variables recorded in the ED in 1386 patients from the PArADIsE cohort. The diagnostic performance of the scores for adjudicated AHF diagnosis was assessed by the area under the ROC curve (AUC). Acute HF diagnosis was adjudicated according to the European Society of Cardiology criteria and BNP levels. A BREST score ≤ 3 or PREDICA score ≤ 1 was associated with low probabilities of AHF (5.7% and 2.6%, respectively). Conversely, a BREST score ≥ 9 or PREDICA score ≥ 5 was associated with a high risk of AHF diagnosis (77.3% and 66.9%, respectively) although more than half of the population was within the "gray zone" (4-8 and 2-4 for the BREST and PREDICA scores, respectively). Diagnostic performances of both scores were good (AUC 79.1%, [66.1-82.1] for the BREST score and 82.4%, [79.8-85.0] for the PREDICA score). PREDICA score had significantly higher diagnostic performance than BREST score (increase in AUC 3.3 [0.8-5.8], p = 0.009). Our study emphasizes the good diagnostic performance of both BREST and PREDICA scores, albeit with a significantly higher diagnostic performance of the PREDICA score. Yet, more than half of the population was classified within the "gray zone" by these scores; additional diagnostic tools are needed to ascertain AHF diagnosis in the ED in a majority of patients. Clinical trial registration: NCT02800122.

Insulin-like Growth Factor Binding Protein 2 predicts mortality risk in heart failure

BACKGROUND

Insulin-like Growth Factor Binding Protein 2 (IGFBP2) showed greater heart failure (HF) diagnostic accuracy than the "grey zone" B-type natriuretic peptides, and may have prognostic utility as well.

OBJECTIVES

To determine if IGFBP2 provides independent information on cardiovascular mortality in HF.

METHODS

A retrospective study of 870 HF patients from 3 independent international cohorts. Presentation IGFBP2 plasma levels were measured by ELISA, and patients were followed from 1 year (Maastricht, Netherlands) to 6 years (Atlanta, GA, USA and Toulouse, France). Multivariate analysis, Net Reclassification Improvement (NRI) and Integrated Discrimination Improvement (IDI) were performed in the 3 cohorts. The primary outcome was cardiovascular mortality.

RESULTS

In multivariate Cox proportional hazards analysis, the highest quartile of IGFBP2 was associated with mortality in the Maastricht cohort (adjusted hazard ratio 1.69 (95% CI, 1.18-2.41), p = 0.004) and in the combined Atlanta and Toulouse cohorts (adjusted hazard ratio 2.04 (95%CI, 1.3-3.3), p = 0.003). Adding IGFBP2 to a clinical model allowed a reclassification of adverse outcome risk in the Maastricht cohort (NRI = 18.7% p = 0.03; IDI = 3.9% p = 0.02) and with the Atlanta/Toulouse patients (NRI of 40.4% p = 0.01, 31,2% p = 0.04, 31.5% p = 0,02 and IDI of 2,9% p = 0,0005, 3.1% p = 0,0005 and 4,2%, p = 0.0005, for a follow-up of 1, 2 and 3 years, respectively).

CONCLUSION

In 3 international cohorts, IGFBP2 level is a strong prognostic factor for cardiovascular mortality in HF, adding information to natriuretic monitoring and usual clinical markers, that should be further prospectively evaluated for patients' optimized care.

Multimarker Approach in Risk Stratification of Patients with Decompensated Heart Failure

PURPOSE

to study prognostic value of various biomarkers and their combinations in patients who survived decompensation of chronic heart failure.

MATERIALS AND METHODS

Patients (n=159) who were hospitalized with diagnosis of heart failure (HF) decompensation were included in a prospective single-center study. Examination on admission and the day of hospital discharge, included measurement of concentrations of N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitivity troponin T (hsTnT), copeptin, soluble suppression of tumorigenicity 2 (sST2), kopetin, neutrophil gelatinase-associated lipocalin (NGAL), and galectin-3. Te combined primary endpoint comprised cardiovascular (CV) death, frst hospitalization because of HF heart failure decompensation, episodes of HF deterioration which required additional i/v diuretics, and CV death with successful resuscitation.

RESULTS

During one-year follow-up 56 pts (35.2%) reached the combined primary endpoint. Tere were 78 (49.1%) cardiovascular events. During hospitalization, patients with the decompensation of heart failure experienced a decrease of sST2, NT-proBNP, galectin-3, kopetin, hsTnT and an insignifcant increase of NGAL. ROC analysis identifed signifcant relation between concentrations of NT-proBNP, sST2, copeptin and, to a lesser degree, hsTnT, determined at hospital discharge, and risk of combined primary endpoint during 1-year follow-up: area under the curve (AUC) was 0.733 [95% CI 0.645-0.820], p<0.0001, 0.772 [95% CI 0.688-0.856], p<0.0001, 0.735 [95% CI 0.640-0.830], p<0.0001, and 0.659 [95% CI 0.553-0.764], p=0.005, respectively. Patients who during hospitalization did not achieve cut-off values of NT-proBNP ≤1696 rg/ml, sST2≤37.8 hg/ml, copeptin≤28.31 rmol/L and hsTnT≤28.37 rg/ml, had higher risk of reaching adverse events during 1 year; OR and 95% CI were 2.96 [1.61, 5.42] p<0.0001, 4.31 [2.34, 7.93] p<0.0001, 3.06 [1.59, 5.89] and 2.19 [2.12, 4.27]), respectively. According to Cox regression analysis, risk of the combined primary end point was the highest in patients with 3 or more elevated markers (OR = 6.6 [3.584, 12.158], p<0.0001), average in patients with 2 elevated markers (OR = 1.123 [0.51, 2.48]), p=0.7), and the lowest in patients with no markers increase or increase of only one marker (OR = 0.11 [0.049, 0.241], p<0.0001). In the Kaplan-Mayer survival analysis all three groups were statistically different. In order to identify the most prognostically strong model, a reclassifcation analysis was performed. According to this analysis, the combination of sST2 and NT-proBNP concentrations determined at hospital discharge, exceeded one NT-proBNP (reclassifcation = -8.1%). At the same time, predictive value of only sST2 just insignifcantly less than value of sST2 and NT-proBNP combination (reclassifcation = -1.9%).

CONCLUSION

Patients with three and more elevated markers at hospital discharge have high risk of adverse events. Te biggest prognostic value has combination of sST2 and NT-proBNP concentrations. In order to determine the long-term prognosis of a patient with HF decompensation, it is sufcient to measure concentrations of sST2 and NT-proBNP at hospital discharge. Alternatively, it is possible to limit to sST2 only, which is just insignifcantly inferior to the sST2 and NT-proBNP combination. Patients with concentrations of sST2 ≥37.8 hg/ml and NT-proBNP ≥1696 rg/ml at hospital discharge have maximal 1year risk of death due to recurrent HF decompensation.

Galectin-3 in Heart Failure: An Update of the Last 3 Years

Galectin-3 plays a role in tissue inflammation, repair, and fibrosis. This article specifically focuses on heart failure (HF), in which galectin-3 has been shown to be a useful biomarker in prognosis and risk stratification, especially in HF with preserved ejection fraction. Experimental research has shown that galectin-3 directly induces pathologic remodeling of the heart, and is therefore considered a culprit protein in the development of cardiac fibrosis in HF, with potentially relevant clinical implications. In summary, galectin-3 is a biomarker and biotarget in cardiac remodeling and fibrosis and future research will target galectin-3-centered diseases.

Arterial pH selectively predicts critical care needs in emergency department obese patients with acute dyspnea: A prospective comparative study

INTRODUCTION

Obese patients with acute dyspnea may be prone to misorientation from the emergency department (ED), due to impaired gas exchange evaluation and altered basal respiratory profiles. This study aims to evaluate the prognostic value of arterial blood pH in obese ED patients with acute dyspnea in comparison to non-obese counterparts.

METHODS

Single-center observational study of a cohort of 400 consecutive ED patients with acute dyspnea. The primary endpoint was a composite of Intensive Care Unit admission (with critical care needs) or in ED mortality. Predictors of the primary endpoint were assessed using multivariable logistic regression and ROC curve analysis, in obese (BMI ≥ 30 kg·m^-2) and non-obese patients.

RESULTS

252 patients who had arterial blood gas testing were analyzed including 76 (30%) obese comparable to non-obese in terms of clinical history. 51 patients were admitted to ICU and 2 deceased before admission (20 obese (26%) vs 33 non-obese (19%); p = 0.17). Factors associated with ICU admission were arterial blood pH (pH < 7.36 vs pH ≥ 7.36) and gender. In multivariate models adjusted for risk factors, pH remained the sole independent predictor in obese patients, with no predictive value in non-obese patients (ROC AUC: 0.74, 95% CI [0.60; 0.87], optimal threshold for pH: 7.36, odds ratio: 10.5 [95% CI 3.18; 34.68]).

CONCLUSION

Arterial blood pH may selectively predict critical care needs in ED obese patients with acute dyspnea, in comparison to non-obese. A falsely reassuring pH < 7.36 should be regarded as a marker of severity when assessing acute dyspnea in obese ED patients.

Acutely decompensated heart failure with preserved and reduced ejection fraction present with comparable haemodynamic congestion

AIMS

Congestion is a central feature of acute heart failure (HF) and its assessment is important for clinical decisions (e.g. tailoring decongestive treatments). It remains uncertain whether patients with acute HF with preserved ejection fraction (HFpEF) are comparably congested as in acute HF with reduced EF (HFrEF). This study assessed congestion, right ventricular (RV) and renal dysfunction in acute HFpEF, HFrEF and non-cardiac dyspnoea.

METHODS AND RESULTS

We compared echocardiographic and circulating biomarkers of congestion in 146 patients from the MEDIA-DHF study: 101 with acute HF (38 HFpEF, 41 HFrEF, 22 HF with mid-range ejection fraction) and 45 with non-cardiac dyspnoea. Compared with non-cardiac dyspnoea, patients with acute HF had larger left and right atria, higher E/e', pulmonary artery systolic pressure and inferior vena cava (IVC) diameter at rest, and lower IVC variability (all P < 0.05). Mid-regional pro-atrial natriuretic peptide (MR-proANP) and soluble CD146 (sCD146), but not B-type natriuretic peptide (BNP), correlated with echocardiographic markers of venous congestion. Despite a lower BNP level, patients with HFpEF had similar evidence of venous congestion (enlarged IVC, left and right atria), RV dysfunction (tricuspid annular plane systolic excursion), elevated MR-proANP and sCD146, and renal impairment (estimated glomerular filtration rate; all P > 0.05) compared with HFrEF.

CONCLUSION

In acute conditions, HFpEF and HFrEF presented in a comparable state of venous congestion, with similarly altered RV and kidney function, despite higher BNP in HFrEF.

Interleukin-1 Blockade in Acute Decompensated Heart Failure: A Randomized, Double-Blinded, Placebo-Controlled Pilot Study

BACKGROUND

Heart failure is an inflammatory disease. Patients with acute decompensated heart failure (ADHF) exhibit significant inflammatory activity on admission. We hypothesized that Interleukin-1 blockade, with anakinra (Kineret, Swedish Orphan Biovitrum), would quench the acute inflammatory response in patients with ADHF.

METHODS

We randomized 30 patients with ADHF, reduced left ventricular ejection fraction (<40%), and elevated C reactive protein (CRP) levels (≥5 mg/L) to either anakinra 100 mg twice daily for 3 days followed by once daily for 11 days or matching placebo, in a 1:1 double blinded fashion. We measured daily CRP plasma levels using a high-sensitivity assay during hospitalization and then again at 14 days and evaluated the area-under-the-curve and interval changes (delta).

RESULTS

Treatment with anakinra was well tolerated. At 72 hours, anakinra reduced CRP by 61% versus baseline, compared with a 6% reduction among patients receiving placebo (P = 0.004 anakinra vs. placebo).

CONCLUSIONS

Interleukin-1 blockade with anakinra reduces the systemic inflammatory response in patients with ADHF. Further studies are warranted to determine whether this anti-inflammatory effect translates into improved clinical outcomes.

Estimation of the severity of breathlessness in the emergency department: a dyspnea score

Background

Dyspnea is a frequent complaint in emergency departments (ED). It has a significant amount of subjective and affective components, therefore the dyspnea scores, based on the patients’ rating, can be ambiguous. Our purpose was to develop and validate a simple scoring system to evaluate the severity of dyspnea in emergency care, based on objectively measured parameters.

Methods

We performed a double center, prospective, observational study including 350 patients who were admitted in EDs with dyspnea. We evaluated the patients’ subjective feeling about dyspnea and applied our Dyspnea Severity Score (DSS), rating the dyspnea in 7 Dimensions from 0 to 3 points. The DSS was validated using the deterioration of pH, base-excess and lactate levels in the blood gas samples (Objective Classification Scale (OCS) 9 points and 13 points groups).

Results

All of the Dimensions correlated closely with the OCS values and with the subjective feeling of the dyspnea. Using multiple linear regression analysis we were able to decrease the numbers of Dimensions from seven to four without causing a significant change in the determination coefficient in any OCS groups. This reduced DSS values (exercise tolerance, cooperation, cyanosis, SpO2 value) showed high sensitivity and specificity to predict the values of OCS groups (the ranges: AUC 0.77–0.99, sensitivity 65–100%, specificity 64–99%). There was a close correlation between the subjective dyspnea scores and the OCS point values (p < 0.001), though the scatter was very large.

Conclusions

A new DSS was validated which score is suitable to compare the severity of dyspnea among different patients and different illnesses. The simplified version of the score (its value ≥7 points without correction factors) can be useful at the triage or in pre-hospital care.

Pneumonia and inflammation in acute decompensated heart failure: a registry-based analysis of 1939 patients

Background:

The prognostic impact of pneumonia and signs of systemic inflammation in patients with acute decompensated heart failure (ADHF) has not been fully elucidated yet. The aim of the present study was thus to investigate the association of pneumonia and the inflammation surrogate C-reactive protein with all-cause mortality in patients admitted for ADHF.

Methods:

We analysed data of 1939 patients admitted for ADHF. Patients were dichotomised according to the presence or absence of pneumonia. The primary endpoint of all-cause mortality was determined by death registry linkage.

Results:

In total, 412 (21.2%) patients had concomitant pneumonia. Median C-reactive protein levels were higher in patients with compared to patients without pneumonia (24.9 versus 9.8 mg/l, respectively; P<0.001). All-cause mortality was significantly higher in patients with pneumonia ( P<0.001). In adjusted Cox regression models, pneumonia as well as C-reactive protein were independently associated with in-hospital mortality. Only C-reactive protein remained as independent predictor for long-term mortality.

Conclusion:

Pneumonia is relatively common in ADHF and a predictor for in-hospital mortality. However, inflammation in general seems to be more important than pneumonia itself for long-term prognosis. Compared to community-acquired pneumonia studies, C-reactive protein levels were rather low and therefore pneumonia might be over-diagnosed in ADHF patients.

A multimarker multi-time point-based risk stratification strategy in acute heart failure: results from the RELAX-AHF trial

AIMS

We evaluated the added prognostic value of a multi-time point-based multimarker panel of biomarkers in patients with acute heart failure (AHF).

METHODS AND RESULTS

Seven circulating biomarkers [NT-proBNP, high sensitivity cardiac troponin T (hs-cTnT), soluble ST2 (sST2), growth differentiation factor 15 (GDF-15), cystatin-C, galectin-3, and high sensitivity C-reactive protein (hs-CRP)] were measured at baseline and on days 2, 5, 14, and 60 in 1161 patients enrolled in the RELAX-AHF trial. Patients with BNP ≥350 ng/L or NT-proBNP ≥1400 ng/L, mild to moderate renal impairment, and systolic blood pressure >125 mmHg were included in the trial. Time-dependent Cox regression analysis was utilized to evaluate the incremental value of serial measurement of biomarkers. Added value of individual biomarkers and their combination, on top of a pre-specified baseline model, was quantified with the gain in the C-index. Serial biomarker evaluation showed incremental predictive value over baseline measurements alone for the prediction of 180-day cardiovascular mortality except for galectin-3. While a repeat measurement as early as day 2 was adequate for NT-proBNP and cystatin-C in terms of maximizing discriminatory accuracy, further measurements on days 14 and 60 provided added value for hs-cTnT, GDF-15, sST2, and hs-CRP. Individual biomarker additions on top of the baseline model showed additional prognostic value. The greatest prognostic gain was, however, attained with the combination of NT-proBNP, hs-cTnT, GDF-15, and sST2, which yielded 0.08 unit absolute increment in the C-index to 0.87 (95% confidence interval 0.83-0.91].

CONCLUSION

In patients with AHF and mild to moderate renal impairment, a multimarker approach based on a panel of serially evaluated biomarkers provides the greatest prognostic improvement unmatched by a single time point-based single marker strategy.

Clinical benefits of natriuretic peptides and galectin-3 are maintained in old dyspnoeic patients

BACKGROUND

Acute dyspnoea is the leading cause of unscheduled admission of elderly patients. Several biomarkers are used to diagnose acute heart failure (AHF) and assess prognosis of dyspnoeic patients, but their value in elderly patients is unclear.

OBJECTIVE

To compare diagnostic and prognostic performances of conventional and novel cardiovascular biomarkers in 2 age groups: young (<75 years old) vs. old (≥75 years old) dyspnoeic patients.

DESIGN

Prospective observational registry.

SETTING

Emergency department (ED).

SUBJECTS

Acutely dyspnoeic adult patients.

METHODS

Blood samples were collected at ED admission. The diagnostic value of 4 natriuretic peptides (BNP, proBNP, NT-proBNP, MR-proANP) for AHF was tested. We also assessed the prognostic value of same natriuretic peptides and of 3 novel cardiovascular biomarkers (galectin-3, sST2 and proenkephalin), using 1-year all-cause mortality as end-point. Diagnostic or prognostic performances are expressed as area under the receiveroperating characteristic curve (AUC) with 95% confidence interval.

RESULTS

Two hundred one acutely dyspnoeic patients were studied. AHF was the cause of dyspnoea in 57% of old and 44% of young patients, respectively. All 4 natriuretic peptides performed well in diagnosing AHF in both age groups (all AUC>0.7). BNP showed the best diagnostic performance in both old (AUC: 0.98 [0.97-1.00]) and young (AUC 0.98 [0.95-1.00]) patients. Galectin-3 showed the best prognostic performance in both old (AUC 0.74 [0.62-0.87]) and young patients (AUC 0.75 [0.56-0.94]).

CONCLUSIONS

BNP and galectin-3 show good clinical benefits in both oldand young acutely dyspnoeic patients.

Identification of Emergency Department Patients With Acute Heart Failure at Low Risk for 30-Day Adverse Events: The STRATIFY Decision Tool

OBJECTIVES

No prospectively derived or validated decision tools identify emergency department (ED) patients with acute heart failure (AHF) at low risk for 30-day adverse events who are thus potential candidates for safe ED discharge. This study sought to accomplish that goal.

BACKGROUND

The nearly 1 million annual ED visits for AHF are associated with high proportions of admissions and consume significant resources.

METHODS

We prospectively enrolled 1,033 patients diagnosed with AHF in the ED from 4 hospitals between July 20, 2007, and February 4, 2011. We used an ordinal outcome hierarchy, defined as the incidence of the most severe adverse event within 30 days of ED evaluation (acute coronary syndrome, coronary revascularization, emergent dialysis, intubation, mechanical cardiac support, cardiopulmonary resuscitation, and death).

RESULTS

Of 1,033 patients enrolled, 126 (12%) experienced at least one 30-day adverse event. The decision tool had a C statistic of 0.68 (95% confidence interval: 0.63 to 0.74). Elevated troponin (p < 0.001) and renal function (p = 0.01) were significant predictors of adverse events in our multivariable model, whereas B-type natriuretic peptide (p = 0.09), tachypnea (p = 0.09), and patients undergoing dialysis (p = 0.07) trended toward significance. At risk thresholds of 1%, 3%, and 5%, we found 0%, 1.4%, and 13.0% patients were at low risk, with negative predictive values of 100%, 96%, and 93%, respectively.

CONCLUSIONS

The STRATIFY decision tool identifies ED patients with AHF who are at low risk for 30-day adverse events and may be candidates for safe ED discharge. After external testing, and perhaps when used as part of a shared decision-making strategy, it may significantly affect disposition strategies. (Improving Heart Failure Risk Stratification in the ED [STRATIFY]; NCT00508638).

Lung Ultrasound-Implemented Diagnosis of Acute Decompensated Heart Failure in the ED: A SIMEU Multicenter Study

BACKGROUND

Lung ultrasonography (LUS) has emerged as a noninvasive tool for the differential diagnosis of pulmonary diseases. However, its use for the diagnosis of acute decompensated heart failure (ADHF) still raises some concerns. We tested the hypothesis that an integrated approach implementing LUS with clinical assessment would have higher diagnostic accuracy than a standard workup in differentiating ADHF from noncardiogenic dyspnea in the ED.

METHODS

We conducted a multicenter, prospective cohort study in seven Italian EDs. For patients presenting with acute dyspnea, the emergency physician was asked to categorize the diagnosis as ADHF or noncardiogenic dyspnea after (1) the initial clinical assessment and (2) after performing LUS ("LUS-implemented" diagnosis). All patients also underwent chest radiography. After discharge, the cause of each patient's dyspnea was determined by independent review of the entire medical record. The diagnostic accuracy of the different approaches was then compared.

RESULTS

The study enrolled 1,005 patients. The LUS-implemented approach had a significantly higher accuracy (sensitivity, 97% [95% CI, 95%-98.3%]; specificity, 97.4% [95% CI, 95.7%-98.6%]) in differentiating ADHF from noncardiac causes of acute dyspnea than the initial clinical workup (sensitivity, 85.3% [95% CI, 81.8%-88.4%]; specificity, 90% [95% CI, 87.2%-92.4%]), chest radiography alone (sensitivity, 69.5% [95% CI, 65.1%-73.7%]; specificity, 82.1% [95% CI, 78.6%-85.2%]), and natriuretic peptides (sensitivity, 85% [95% CI, 80.3%-89%]; specificity, 61.7% [95% CI, 54.6%-68.3%]; n = 486). Net reclassification index of the LUS-implemented approach compared with standard workup was 19.1%.

CONCLUSIONS

The implementation of LUS with the clinical evaluation may improve accuracy of ADHF diagnosis in patients presenting to the ED.

TRIAL REGISTRY

Clinicaltrials.gov; No.: NCT01287429; URL: www.clinicaltrials.gov.

Biomarkers for risk prediction in acute decompensated heart failure

Risk prediction in patients admitted with acute decompensated heart failure (ADHF) remains a challenge. Biomarkers may improve risk prediction, which in turn may help to better inform patients regarding short-term and long-term prognosis, therapy and care. Most data on biomarkers have been derived from patient cohorts with chronic heart failure. In ADHF, currently, risk tools largely rely on common clinical and biochemical parameters. However, ADHF is not a single disease. It presents in various manners and different etiologies may underlie ADHF, which are reflected by different biomarkers. In the last decade, many studies have reported the prognostic value of these biomarkers. These studies have attempted to describe a value for statistical modeling, e.g., reclassification indices, in an effort to report incremental value over a clinical model or the "gold standard". However, the overall incremental predictive value of biomarkers has been modest compared to already existing clinical models. Natriuretic peptides, e.g., (NTpro-)BNP, are the benchmark, but head-to-head comparisons show that there are novel biomarkers with comparable prognostic value. Multimarker strategies may provide superior risk stratification. Future studies should elucidate cost-effectiveness of single or combined biomarker testing. The purpose of this review was to provide an update on current biomarkers and to identify new promising biomarkers than can be used in prognostication of acute heart failure.

Osteoglycin Prevents Cardiac Dilatation and Dysfunction After Myocardial Infarction Through Infarct Collagen Strengthening

Rationale:

To maintain cardiac mechanical and structural integrity after an ischemic insult, profound alterations occur within the extracellular matrix. Osteoglycin is a small leucine-rich proteoglycan previously described as a marker of cardiac hypertrophy.

Objective:

To establish whether osteoglycin may play a role in cardiac integrity and function after myocardial infarction (MI).

Methods and Results:

Osteoglycin expression is associated with collagen deposition and scar formation in mouse and human MI. Absence of osteoglycin in mice resulted in significantly increased rupture-related mortality with tissue disruption, intramyocardial bleeding, and increased cardiac dysfunction, despite equal infarct sizes. Surviving osteoglycin null mice had greater infarct expansion in comparison with wild-type mice because of impaired collagen fibrillogenesis and maturation in the infarcts as revealed by electron microscopy and collagen polarization. Absence of osteoglycin did not affect cardiomyocyte hypertrophy in the remodeling remote myocardium. In cultured fibroblasts, osteoglycin knockdown or supplementation did not alter transforming growth factor-β signaling. Adenoviral overexpression of osteoglycin in wild-type mice significantly improved collagen quality, thereby blunting cardiac dilatation and dysfunction after MI. In osteoglycin null mice, adenoviral overexpression of osteoglycin was unable to prevent rupture-related mortality because of insufficiently restoring osteoglycin protein levels in the heart. Finally, circulating osteoglycin levels in patients with heart failure were significantly increased in the patients with a previous history of MI compared with those with nonischemic heart failure and correlated with survival, left ventricular volumes, and other markers of fibrosis.

Conclusions:

Increased osteoglycin expression in the infarct scar promotes proper collagen maturation and protects against cardiac disruption and adverse remodeling after MI. In human heart failure, osteoglycin is a promising biomarker for ischemic heart failure.

Novel biomarkers in heart failure: usefulness in clinical practice

Biomarkers have become an increasingly important tool in clinical practice, helping to improve patient care. In heart failure (HF), brain natriuretic peptide and N-terminal prohormone of the brain natriuretic peptide have been widely applied in prognosis, clinical diagnosis and treatment. Recently, several novel biomarkers have been examined on their efficacy to improve diagnosis, determine the pathophysiologic state of HF, improve clinical decision making, clinical outcome, guide treatment and assess prognosis of HF patients. In this special report, the authors summarize the usefulness and significance of the most promising novel biomarkers in patients with HF.

Cardiovascular extracellular microRNAs: emerging diagnostic markers and mechanisms of cell-to-cell RNA communication

Cardiovascular diseases are a leading cause of morbidity and mortality in Western societies. It is now well established that microRNAs (miRNAs) are determinant regulators in various medical conditions including cardiovascular diseases. The recent discovery that miRNAs, while associated with different carriers, can be exported out of the cell, has triggered a renewed interest to analyze the potential to use extracellular miRNAs as tools for diagnostic and therapeutic studies. Circulating miRNAs in biological fluids present a technological advantage compared to current diagnostic tools by virtue of their remarkable stability and relative ease of detection rendering them ideal tools for non-invasive and rapid diagnosis. Extracellular miRNAs also represent a novel form of inter-cellular communication by transferring genetic information from a donor cell to a recipient cell. This review briefly summarizes recent insights in the origin, function and diagnostic potential of extracellular miRNAs by focusing on a select number of cardiovascular diseases.