Risk stratification in acute heart failure: rationale and design of the STRATIFY and DECIDE studies

Chest Pain Risk Stratification in the Emergency Department: Current Perspectives

Chest pain is the second leading cause of all emergency department (ED) visits in adults in the United States, with nearly 11 million encounters yearly. While identifying low-risk patients is crucial for early discharge, identifying high-risk patients in ED is vital in timely and appropriate acute coronary syndrome (ACS) management. Traditional methods such as physical examination, cardiac markers, or imaging tests cannot reliably confirm or rule out ACS; they cannot be singularly incorporated to risk stratify patients. Various clinical risk scores have been proposed to address this challenge for risk stratification in patients being evaluated for suspected ACS. The ideal risk score should demonstrate high sensitivity and specificity to accurately differentiate between patients with varying levels of risk, particularly in identifying those at high risk for major adverse cardiovascular events. Simultaneously, an ideal scoring system should also be able to compute information for other non-coronary etiologies of chest pain that require time-sensitive interventions and workups (eg, aortic dissection and pulmonary embolism). In this review, we have assembled major risk scores used for risk stratification in patients with acute chest pain in ED. We have abbreviated their salient features to assist readers in their clinical decision-making.

Accelerating Biomarker Discovery Through Electronic Health Records, Automated Biobanking, and Proteomics

BACKGROUND

Circulating biomarkers can facilitate diagnosis and risk stratification for complex conditions such as heart failure (HF). Newer molecular platforms can accelerate biomarker discovery, but they require significant resources for data and sample acquisition.

OBJECTIVES

The purpose of this study was to test a pragmatic biomarker discovery strategy integrating automated clinical biobanking with proteomics.

METHODS

Using the electronic health record, the authors identified patients with and without HF, retrieved their discarded plasma samples, and screened these specimens using a DNA aptamer-based proteomic platform (1,129 proteins). Candidate biomarkers were validated in 3 different prospective cohorts.

RESULTS

In an automated manner, plasma samples from 1,315 patients (31% with HF) were collected. Proteomic analysis of a 96-patient subset identified 9 candidate biomarkers (p < 4.42 × 10^-5). Two proteins, angiopoietin-2 and thrombospondin-2, were associated with HF in 3 separate validation cohorts. In an emergency department-based registry of 852 dyspneic patients, the 2 biomarkers improved discrimination of acute HF compared with a clinical score (p < 0.0001) or clinical score plus B-type natriuretic peptide (p = 0.02). In a community-based cohort (n = 768), both biomarkers predicted incident HF independent of traditional risk factors and N-terminal pro-B-type natriuretic peptide (hazard ratio per SD increment: 1.35 [95% confidence interval: 1.14 to 1.61; p = 0.0007] for angiopoietin-2, and 1.37 [95% confidence interval: 1.06 to 1.79; p = 0.02] for thrombospondin-2). Among 30 advanced HF patients, concentrations of both biomarkers declined (80% to 84%) following cardiac transplant (p < 0.001 for both).

CONCLUSIONS

A novel strategy integrating electronic health records, discarded clinical specimens, and proteomics identified 2 biomarkers that robustly predict HF across diverse clinical settings. This approach could accelerate biomarker discovery for many diseases.

Shock Index in Patients Presenting With Acute Heart Failure: A Multicenter Multinational Observational Study

Shock index (SI) has a prognostic role in coronary heart disease; however, data on acute heart failure (AHF) are lacking. We evaluated the predictive values of SI in patients with AHF. Data were retrospectively analyzed from the Gulf Acute Heart Failure Registry. Patients were categorized into low SI versus high SI based on the receiver operating characteristic curves. Primary outcomes included cardiogenic shock (CS) and mortality. Among 4818 patients with AHF, 1143 had an SI ≥0.9. Compared with SI <0.9, patients with high SI were more likely males, younger, and having advanced New York Heart Association class, fewer cardiovascular risk factors and less prehospital β-blockers and angiotensin-converting enzyme inhibitor use. Shock index had significant negative correlations with age, pulse pressure, mean arterial pressure, and left ventricle ejection fraction and had positive correlation with hospital length of stay. Shock index ≥0.9 was significantly associated with higher composite end points, in-hospital, and 3-month mortality. Shock index ≥0.9 had 96% negative predictive value (NPV) and 3.5 relative risk for mortality. Multivariate regression analysis showed that SI was independent predictor of mortality and CS. With a high NPV, SI is a simple reliable bedside tool for risk stratification of patients with AHF. However, this conclusion needs further support.

Acute heart failure

Acute heart failure (AHF) is one of the most common causes for hospital admission and is associated with a high risk of mortality. Compared to chronic heart failure, there is less robust evidence to guide diagnosis, risk stratification and management of AHF. This state-of-the art review aims to summarize new developments in this field. We also highlight areas of ongoing work including novel vasoactive agents, alternative models to traditional hospital admission and strategies to improve patient engagement.

Acute Heart Failure in the Emergency Department: Respiratory Rate as a Risk Predictor

BACKGROUND/AIM

Several risk scores can stratify patients with acute heart failure (AHF) at the Emergency Department (ED). Registration of vital signs, such as blood pressure (BP), heart rate (HR) and respiratory rate (RR) upon admission is mandatory. Nevertheless, measurement of RR remains neglected worldwide.

PATIENTS AND METHODS

The predictive value of RR in classifying patients with AHF was investigated by processing several vital signs recorded in the ED.

RESULTS

HR and RR individually did not discriminate patients according to hospitalization length, Intensive Care Unit (ICU) admittance, mechanical respiratory support or death. The derivative indices, HR:RR and Respiratory Efficacy Index (REFI) (=RR×100/SatO₂), differentiated study patients regarding hospitalization length. Receiver operating characteristic curves predicting mortality and ICU admission for REFI and HR:RR revealed high accuracy, sensitivity and specificity for cut-off values of REFI >27 and HR:RR ≥4.

CONCLUSION

The RR and its derivative indices are easily accessible vital signs monitored at the ED which merit 'revitalization'.

Acute Heart Failure in the Emergency Department: Respiratory Rate as a Risk Predictor

BACKGROUND/AIM

Several risk scores can stratify patients with acute heart failure (AHF) at the Emergency Department (ED). Registration of vital signs, such as blood pressure (BP), heart rate (HR) and respiratory rate (RR) upon admission is mandatory. Nevertheless, measurement of RR remains neglected worldwide.

PATIENTS AND METHODS

The predictive value of RR in classifying patients with AHF was investigated by processing several vital signs recorded in the ED.

RESULTS

HR and RR individually did not discriminate patients according to hospitalization length, Intensive Care Unit (ICU) admittance, mechanical respiratory support or death. The derivative indices, HR:RR and Respiratory Efficacy Index (REFI) (=RR×100/SatO₂), differentiated study patients regarding hospitalization length. Receiver operating characteristic curves predicting mortality and ICU admission for REFI and HR:RR revealed high accuracy, sensitivity and specificity for cut-off values of REFI >27 and HR:RR ≥4.

CONCLUSION

The RR and its derivative indices are easily accessible vital signs monitored at the ED which merit 'revitalization'.

Design and Rationale of a Randomized Trial of a Care Transition Strategy in Patients With Acute Heart Failure Discharged From the Emergency Department: GUIDED-HF (Get With the Guidelines in Emergency Department Patients With Heart Failure)

GUIDED-HF (Get With the Guidelines in Emergency Department Patients With Heart Failure) is a multicenter randomized trial of a patient-centered transitional care intervention in patients with acute heart failure (AHF) who are discharged either directly from the emergency department (ED) or after a brief period of ED-based observation. To optimize care and reduce ED and hospital revisits, there has been significant emphasis on improving transitions at the time of hospital discharge for patients with HF. Such efforts have been almost exclusively directed at hospitalized patients; individuals with AHF who are discharged from the ED or ED-based observation are not included in these transitional care initiatives. Patients with AHF discharged directly from the ED or after a brief period of ED-based observation are randomly assigned to our transition GUIDED-HF strategy or standard ED discharge. Patients in the GUIDED arm receive a tailored discharge plan via the study team, based on their identified barriers to outpatient management and associated guideline-based interventions. This plan includes conducting a home visit soon after ED discharge combined with close outpatient follow-up and subsequent coaching calls to improve postdischarge care and avoid subsequent ED revisits and inpatient admissions. Up to 700 patients at 11 sites will be enrolled over 3 years of the study. GUIDED-HF will test a novel approach to AHF management strategy that includes tailored transitional care for patients discharged from the ED or ED-based observation. If successful, this program may significantly alter the current paradigm of AHF patient care.

CLINICAL TRIAL REGISTRATION

URL: http://www.clinicaltrials.gov. Unique identifier: NCT02519283.

Markers of diuretic resistance in emergency department patients with acute heart failure

Background

Loop diuretics are common therapy for emergency department (ED) patients with acute heart failure (AHF). Diuretic resistance (DR) is a term used to describe blunted natriuretic response to loop diuretics. It would be important to detect DR prior to it becoming clinically apparent, so early interventions can be initiated. However, several definitions have been proposed, and it is not clear if they identify similar patients. We compared these definitions and described the clinical characteristics of patients who fulfilled them.

Methods

To qualify for this secondary analysis of 1033 ED patients with AHF, all patients needed to receive intravenous diuretics in the ED and have urine available within 24 h of their ED evaluation. A poor diuretic response, suggesting DR, was characterized by (1) a fractional sodium excretion (FeNa) of less than 0.2%; (2) spot urinary sodium of less than 50 meq/L; and (3) a urinary Na/K ratio <1.0. McNemar’s test was used to compare the different cohorts identified by the three definitions. Secondary analyses evaluated associations between each DR definition and hospital length of stay (LOS), ED revisits and rehospitalizations for AHF, and mortality using the Wilcoxon rank-sum tests and linear regression or Pearson chi-square test and logistic regression, as appropriate.

Results

The median age of the 187 patients was 64, and 50% were African-American. There were 5.9% of patients with a FeNa less than 0.2%, 17.1% had urinary sodium less than 50 meq/L, and 10.7% had a urinary Na/K ratio <1.0. The three definitions identified significantly different patients with very little overlap (p < 0.02 for all comparisons). There were 37 (19.8%) patients who were readmitted to the ED or hospital or died within 30 days of ED evaluation. Patients with spot urinary sodium less than 50 meq/L were more likely to be readmitted (p = 0.03).

Conclusions

The patient proportion with poor natriuresis and DR varies depending on the definition used. Early ED therapy would be impacted at different rates if clinical decisions are made based on these definitions. These findings need to be further explored in a prospective ED-based study.

Trial registration

ClinicalTrials.gov, NCT00508638

Electronic supplementary material

The online version of this article (doi:10.1186/s12245-017-0143-x) contains supplementary material, which is available to authorized users.

Acute Heart Failure: Alternatives to Hospitalization

Acute heart failure (HF) is a major public health problem with substantial associated economic costs. Because most patients who present to hospitals are admitted irrespective of their level of risk, novel approaches to manage acute HF are needed, such as the use of same-day access clinics for outpatient diuresis and observation units from the emergency department. Current published data lacks a comprehensive overview of the present state of acute HF management in various clinical settings. This review summarizes the strengths and limitations of acute HF care in the outpatient and emergency department settings. Finally, a variety of innovative technologies that have the potential to improve acute HF management are discussed.

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.

DECLINE IN HOSPITALIZATION TREND FOR CARDIOVASCULAR DISEASES SENSITIVE TO PRIMARY HEALTHCARE

ABSTRACT Objective: was to analyze the trend of hospitalizations for cardiovascular conditions sensitive to primary healthcare from 2000 to 2011. Method: an ecological study of the tendency of hospitalization rates for cardiovascular diseases by residence, aged between 35 and 74 years, according to the main diagnoses of hospitalization, gender and age, with data from the Hospital Information System of the Brazilian National Unified Health System (Sistema de Informações Hospitalares do Sistema Único de Saúde) and using polynomial regression models. Results: an average annual decline of 5.6 per 10,000 inhabitants ( r2 =0.9; p<0.001) of hospitalization rates by cardiovascular diseases was observed. Decreasing trends for hypertension, heart failure and cerebrovascular diseases were also identified, while hospitalization rates by angina remained stable. The decrease in admission rates due to cardiovascular conditions was similar between both genders, although these rates were higher for men aged 55 to 74 years. Conclusion: the decline in hospitalization rates for primary care-sensitive cardiovascular diseases indicates, in addition to other factors, improved access and quality of primary healthcare actions, especially for residents aged 55-74 years, and also for women whose decline was more pronounced. The health team should implement actions to prevent chronic disease complications, and consequently hospitalizations for men and for angina, in order to eliminate health disparities.

Examining Characteristics of Hospitalizations in Heart Failure Patients: Results from the 2009 All-payer Data

Heart failure (HF) is one of the most common chronic and disabling illnesses, resulting in high morbidity and mortality. Readmission rate, one key indicator of healthcare quality and healthcare utilization, is prevalent in HF patients. Inconsistent evidences exist about the impact of rural health disparities on HF patients' readmissions. The purpose of this explorative study was to examine the characteristics of hospitalized HF patients and factors related to readmissions in 2009. The results showed all-cause readmission rates were 13.6%, 23.6%, and 31.6% at 30-, 90- and 180-days respectively. The factors related readmissions included age, income, discharge/transfer status from index hospitalization, and comorbidity. Findings from this analysis suggested additional studies using multiple data sources are needed to have a comprehensive understanding of risk factors related HF patients' healthcare utilization.

The prognostic value of arterial blood gas analysis in high-risk acute heart failure patients: an analysis of the Korean Heart Failure (KorHF) registry

AIMS

In acute heart failure (AHF) patients, pulmonary oedema and low tissue perfusion may lead to changes in the acid-base balance, which may be associated with worse outcomes.

METHODS AND RESULTS

In this prospective nationwide cohort study from 24 academic hospitals, arterial blood gas (ABG) was measured in 1982 AHF patients at hospital admission. Acidosis was defined as pH <7.36, and alkalosis as pH >7.44. Mortality was stratified according to ABG results. Overall, 19% had acidosis, 37% had normal pH, and 44% had alkalosis. The most common type of acidosis was the mixed type (42%) followed by metabolic acidosis (40%), and the most common type of alkalosis was respiratory alkalosis (58%). At 12 months' follow-up 304 patients (15%) died. Patients with acidosis had higher mortality (acidosis 19.5%, neutral pH 13.7%, alkalosis 14.9%; P = 0.007). In the Cox proportional-hazards regression model, acidosis was a significant predictor of mortality (hazard ratio 1.93; 95% confidence intervals 1.27-2.93) along with N-terminal pro-brain type natriuretic peptide (NT-proBNP), among others. In contrast, alkalosis was not associated with increased mortality. pH had an incremental prognostic value over NT-proBNP (net reclassification improvement 30%; P < 0.001), and ABG analysis identified extra patients at increased risk for mortality among patients with an NT-proBNP level less than the median (12-month mortality 17.5% vs. 9.9%; P = 0.009).

CONCLUSION

In high-risk AHF patients, the most common acid-base imbalance is respiratory alkalosis. Acidosis is observed in every fifth patient and is a significant predictor of mortality. pH provides an additional prognostic value and may be used to optimize risk stratification in high-risk AHF patients.

Use of High-Sensitivity Troponin T to Identify Patients With Acute Heart Failure at Lower Risk for Adverse Outcomes: An Exploratory Analysis From the RELAX-AHF Trial

OBJECTIVES

The aim of this study was to determine if a baseline high-sensitivity troponin T (hsTnT) value ≤99th percentile upper reference limit (0.014 μg/l ["low hsTnT"]) identifies patients at low risk for adverse outcomes.

BACKGROUND

Approximately 85% of patients who present to emergency departments with acute heart failure are admitted. Identification of patients at low risk might decrease unnecessary admissions.

METHODS

A post-hoc analysis was conducted from the RELAX-AHF (Serelaxin, Recombinant Human Relaxin-2, for Treatment of Acute Heart Failure) trial, which randomized patients within 16 h of presentation who had systolic blood pressure >125 mm Hg, mild to moderate renal impairment, and N-terminal pro-brain natriuretic peptide ≥1,600 ng/l to serelaxin versus placebo. Linear regression models for continuous endpoints and Cox models for time-to-event endpoints were used.

RESULTS

Of the 1,076 patients with available baseline hsTnT values, 107 (9.9%) had low hsTnT. No cardiovascular (CV) deaths through day 180 were observed in the low-hsTnT group compared with 79 CV deaths (7.3%) in patients with higher hsTnT. By univariate analyses, low hsTnT was associated with lower risk for all 5 primary outcomes: 1) days alive and out of the hospital by day 60; 2) CV death or rehospitalization for heart failure or renal failure by day 60; 3) length of stay; 4) worsening heart failure through day 5; and 5) CV death through day 180. After multivariate adjustment, only 180-day CV mortality remained significant (hazard ratio: 0.0; 95% confidence interval: 0.0 to 0.736; p = 0.0234; C-index = 0.838 [95% confidence interval: 0.798 to 0.878]).

CONCLUSIONS

No CV deaths through day 180 were observed in patients with hsTnT levels ≤0.014 μg/l despite high N-terminal pro-brain natriuretic peptide levels. Low baseline hsTnT may identify patients with acute heart failure at very low risk for CV mortality.

Plasma bioactive adrenomedullin as a prognostic biomarker in acute heart failure

OBJECTIVE

The objective was to evaluate the prognostic performance of a new biomarker, plasma bioactive adrenomedullin (bio-ADM), for short-term clinical outcomes in acute heart failure.

METHODS

A multicenter prospective cohort study of adult emergency department (ED) patients suspected of having acute heart failure was conducted to evaluate the association between plasma bio-ADM concentration and clinical outcomes. The primary outcome was a composite of the following within 30 days: death, cardiac arrest with resuscitation, respiratory failure, emergency dialysis, acute coronary syndrome, hospitalization >5 days, and repeat ED visit or hospitalization. Prognostic accuracy was evaluated with a nonparametric receiver operating characteristic curve. In addition, a multivariable logistic regression model was constructed to assess the additive prognostic performance of bio-ADM while adjusting for other biomarkers routinely used clinically, including B-type natriuretic peptide, cardiac troponin I, creatinine, and sodium concentration.

RESULTS

Two hundred forty-six patients were enrolled, including 85 (34.6%) patients with the primary outcome. Plasma bio-ADM concentrations were higher among patients who experienced the primary outcome (median, 80.5 pg/mL; interquartile range [IQR], 53.7-151.5 pg/mL) compared with those who did not (median, 54.4 pg/mL; IQR, 43.4-78.4 pg/mL) (P < .01). Area under the receiver operating characteristic curve was 0.70 (95% confidence interval, 0.63-0.75). After adjusting for the other biomarkers, plasma bio-ADM remained a strong predictor of the primary outcome (adjusted odds ratio per IQR change, 2.68; 95% confidence interval, 1.60-4.51).

CONCLUSIONS

Bioactive adrenomedullin concentrations at the time of ED evaluation for acute heart failure were predictive of clinically important 30-day outcomes, suggesting that bio-ADM is a promising prognostic marker for further study.

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).

Challenges in acute heart failure clinical management: optimizing care despite incomplete evidence and imperfect drugs

Acute heart failure is a common condition associated with considerable morbidity, mortality, and cost. However, evidence-based data on treating heart failure in the acute setting are limited, and current individual treatment options have variable efficacy. The healthcare team must often individualize patient care in ways that may extend beyond available clinical guidelines. In this review, we address the question, "How do you do the best you can clinically with incomplete evidence and imperfect drugs?" Expert opinion is provided to supplement guideline-based recommendations and help address the typical challenges that are involved in the management of patients with acute heart failure. Specifically, we discuss 4 key areas that are important in the continuum of patient care: differential diagnosis and risk stratification; choice and implementation of initial therapy; assessment of the adequacy of therapy during hospitalization or observation; and considerations for discharge/transition of care. A case study is presented to highlight the decision-making process throughout each of these areas. Evidence is accumulating that should help guide patients and healthcare providers on a path to better quality of care.

Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration

The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) Statement includes a 22-item checklist, which aims to improve the reporting of studies developing, validating, or updating a prediction model, whether for diagnostic or prognostic purposes. The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used. This explanation and elaboration document describes the rationale; clarifies the meaning of each item; and discusses why transparent reporting is important, with a view to assessing risk of bias and clinical usefulness of the prediction model. Each checklist item of the TRIPOD Statement is explained in detail and accompanied by published examples of good reporting. The document also provides a valuable reference of issues to consider when designing, conducting, and analyzing prediction model studies. To aid the editorial process and help peer reviewers and, ultimately, readers and systematic reviewers of prediction model studies, it is recommended that authors include a completed checklist in their submission. The TRIPOD checklist can also be downloaded from www.tripod-statement.org.

Early management of patients with acute heart failure: state of the art and future directions. A consensus document from the society for academic emergency medicine/heart failure society of America acute heart failure working group

Heart failure (HF) afflicts nearly 6 million Americans, resulting in one million emergency department (ED) visits and over one million annual hospital discharges. An aging population and improved survival from cardiovascular diseases is expected to further increase HF prevalence. Emergency providers play a significant role in the management of patients with acute heart failure (AHF). It is crucial that emergency physicians and other providers involved in early management understand the latest developments in diagnostic testing, therapeutics and alternatives to hospitalization. Further, clinical trials must be conducted in the ED in order to improve the evidence base and drive optimal initial therapy for AHF. Should ongoing and future studies suggest early phenotype-driven therapy improves in-hospital and post-discharge outcomes, ED treatment decisions will need to evolve accordingly. The potential impact of future studies which incorporate risk-stratification into ED disposition decisions cannot be underestimated. Predictive instruments that identify a cohort of patients safe for ED discharge, while simultaneously addressing barriers to successful outpatient management, have the potential to significantly impact quality of life and resource expenditures.

Early management of patients with acute heart failure: state of the art and future directions--a consensus document from the SAEM/HFSA acute heart failure working group

Heart failure (HF) afflicts nearly 6 million Americans, resulting in 1 million emergency department (ED) visits and over 1 million annual hospital discharges. The majority of inpatient admissions originate in the ED; thus, it is crucial that emergency physicians and other providers involved in early management understand the latest developments in diagnostic testing, therapeutics, and alternatives to hospitalization. This article discusses contemporary ED management as well as the necessary next steps for ED-based acute HF research.

The burden of acute heart failure on U.S. emergency departments

OBJECTIVES

The goal of this study was to examine 2006 to 2010 emergency department (ED) admission rates, hospital procedures, lengths of stay, and costs for acute heart failure (AHF).

BACKGROUND

Patients with AHF are often admitted and are associated with high readmissions and cost.

METHODS

We utilized Nationwide Emergency Department Sample AHF data from 2006 to 2010 to describe admission proportion, hospital length of stay (LOS), and ED charges as a surrogate for resource utilization. Results were compared across U.S. regions, patient insurance status, and hospital characteristics.

RESULTS

There were 958,167 mean yearly ED visits for AHF in the United States. Fifty-one percent of the patients were female, and the median age was 75.1 years (interquartile range [IQR]: 62.5 to 83.7 years). Overall, 83.7% (95% confidence interval: 83.1% to 84.2%) were admitted; the median LOS was 3.4 days (IQR: 1.9 to 5.8 days). Comparing 2006 with 2010, there was a small decrease in median LOS (0.09 days), but the proportion admitted did not change. Odds of admission, adjusting for age, sex, hospital characteristic (academic and safety net status), and insurance (Medicare, Medicaid, private, self-pay/no charge) were highest in the Northeast. Median ED charges were $1,075 (IQR: $679 to $1,665) in 2006 and $1,558 (IQR: $1,018 to $2,335) in 2010. Patients without insurance were more likely to be discharged from the ED, but when admitted, were more likely to receive a major diagnostic or therapeutic procedure.

CONCLUSIONS

A very high proportion of ED patients with AHF are admitted nationally, with significant variation in disposition and procedural decisions based on region of the country and type of insurance, even after adjusting for potential confounding.

Prognostic value of C-reactive protein as an inflammatory and N-terminal probrain natriuretic peptide as a neurohumoral marker in acute heart failure (from the Korean Heart Failure registry)

The neurohumoral and inflammatory pathways are regarded as the main mechanisms for the progression of heart failure. We sought to investigate the prognostic value of high-sensitivity C-reactive protein (hs-CRP) and N-terminal probrain natriuretic peptide (NT-proBNP) by evaluating their relation with 12-month mortality rate in this prospective cohort study from 24 academic hospitals in Korea. In 1,608 patients with acute heart failure (AHF), the median hs-CRP and NT-proBNP values were 0.77 mg/dl (interquartile range 0.29 to 2.84) and 4,638 pg/ml (interquartile range 1,945 to 10,852), respectively. During the 12-month follow-up, 213 patients (13.3%) died. The mortality rate increased from the lowest to the highest hs-CRP quartiles (Q1 7.4%, Q2 9.5%, Q3 16.9%, Q4 19.3%, p <0.001) and NT-proBNP quartiles (Q1 7.0%, Q2 13.4%, Q3 11.6%, Q4 20.4%, p <0.001). After adjustment, both hs-CRP (hazard ratio [HR] 1.811, 95% confidence interval [CI] 1.138 to 2.882) and NT-proBNP (HR 1.971, 95% CI 1.219 to 3.187) were independent predictors of 12-month mortality among others. When combining both hs-CRP and NT-proBNP and stratifying the patients according to their median values, patients with elevation of both hs-CRP and NT-proBNP values had 2.4-fold increased hazards (HR 2.382, 95% CI 1.509 to 3.761) compared with those without elevation of both markers. In Korean patients with AHF, patients with increased levels of both hs-CRP and NT-proBNP had worse clinical outcomes. The combination of the neurohumoral and inflammatory markers may provide a better strategy for risk stratification of Asian patients with AHF.

Initial management of patients with acute heart failure

Pressure exists to manage patients with acute decompensated heart failure (ADHF) efficiently in the acute-care environment. Although most patients present with worsening of chronic heart failure, some may present with undifferentiated dyspnea and new-onset heart failure. Others have significant comorbidities that complicate both the diagnosis and treatment. The treatment of patients with ADHF is prioritized based on vital signs and presenting phenotype. The risk stratification of patients is the subject of ongoing evaluation. The disposition of patients to areas other than a monitored inpatient bed, such as an emergency department-based observation unit, may prove effective.