Disposition of emergency department patients diagnosed with acute heart failure: an international emergency medicine perspective

Length of stay and prior heart failure admission in frailty and heart failure: A systematic review and meta-analysis

AIMS

The aim of this study was to compare the differences in length of stay (LoS) and prior hospitalization due to heart failure (HHF) in patients with HF and frailty versus without frailty.

METHODS AND RESULTS

From inception until August 2024, PubMed, Scopus, Web of Science and Cochrane Library were searched. To examine the association related to LoS and HHF in patients with HF, a meta-analysis using a random-effects model was conducted (CRD42024570604). Our main analysis demonstrated a significantly increased LoS in patients with frailty versus those without frailty [n = 10; mean difference (MD): 3.67; 95% CI: 2.26-5.08, I2 = 93%, P < 0.01]. Likewise, patients with frailty had significantly increased odds of HHF [n = 17; odds ratio (OR): 1.76; 95% CI: 1.50-2.07, I2 = 81%, P < 0.01]. Risk of bias assessment of the included studies was overall fair, while Egger's test showed publication bias regarding studies that examined LoS (P = 0.02).

CONCLUSIONS

Patients with frailty have longer LoS and more frequent HHF, underscoring the need for early, targeted interventions to manage frailty that may be attributed primarily to ageing and comorbidity-related status.

Prospective Validation and Implementation Pilot Study of an Emergency Department Heart Failure Risk Stratification Tool: STRIDE-HF

BACKGROUND

The STRIDE-HF (Systematic Tool for Risk Identification and Decision-making in Emergency Heart Failure) emergency department (ED) risk tool was previously found to accurately predict the risk of a 30-day serious adverse event (SAE), including 30-day mortality, cardiopulmonary resuscitation, intra-aortic balloon pump insertion, intubation, new dialysis, myocardial infarction, or coronary revascularization.

OBJECTIVES

The aim of this study was to prospectively validate STRIDE-HF across 21 community EDs among patients in the ED with acute heart failure (AHF) from January 1, 2023, to December 31, 2023, and to assess the safety of the real-time use of risk estimates in a 2-ED pilot study.

METHODS

Model area under the receiver operator curve (AUROC) and area under the precision recall curve (AUPRC), sensitivity, specificity, and positive and negative predictive values and likelihood ratios at key clinical thresholds are reported. In the clinical pilot, the rates of 30-day SAEs among patients who were at lower risk by STRIDE-HF and were discharged after ED or observation care were reported.

RESULTS

There were 13,274 patients in the ED in the prospective validation; the median age was 76 years, 50.8% were female, and 44.5% were non-White; and 11.4%, 24.8%, 31.9%, and 31.9% of patients were at very low, low, moderate, and high risk, respectively. The 30-day SAE rates among very-low-risk and low-risk patients were 3.4% and 6.7%, respectively, and the 30-day mortality rates were <1% and <2%, respectively. STRIDE-HF was highly sensitive among low-risk patients (97.6%; 95% CI: 96.8%-98.2%); AUROC was 0.75 (95% CI: 0.74-0.76), and AUPRC was 0.43 (95% CI: 0.39-0.44). There were 845 patients in the pilot study; among patients classified by STRIDE-HF criteria as being at very low risk who were discharged, none experienced a 30-day SAE.

CONCLUSIONS

STRIDE-HF maintained high predictive accuracy for 30-day SAE in prospective validation in this large, diverse, multicenter cohort; the use of risk estimates in real time safely identified low-risk patients appropriate for discharge.

Safety of midodrine in patients with heart failure with reduced ejection fraction: a retrospective cohort study

Background: Heart failure with reduced ejection fraction (HFrEF) poses significant health risks. Midodrine for maintaining blood pressure in HFrEF, requires further safety investigation. This study explores midodrine's safety in HFrEF through extensive matched analysis. Methods: Patients with HFrEF (LVEF <50%) without malignancy, non-dialysis dependence, or non-orthostatic hypotension, were enrolled between 28 August 2013, and 27 August 2023. Propensity score matching (PSM) created 1:1 matched groups. Outcomes included mortality, stage 4 and 5 chronic kidney disease (CKD), emergency room (ER) visits, intensive care unit (ICU) admissions, hospitalizations, and respiratory failure. Hazard ratios (HR) with 95% confidence intervals (95% CI) were calculated for each outcome, and Kaplan-Meier survival analysis was performed. Subgroup analyses were conducted based on gender, age (20-<65 vs. ≥65), medication refill frequency, and baseline LVEF. Results: After 1:1 PSM, 5813 cases were included in each group. The midodrine group had higher risks of respiratory failure (HR: 1.16, 95% CI: 1.08-1.25), ICU admissions (HR: 1.14, 95% CI: 1.06-1.23), hospitalizations (HR: 1.21, 95% CI: 1.12-1.31), and mortality (HR: 1.090, 95% CI: 1.01-1.17). Interestingly, midodrine use reduced ER visits (HR: 0.77, 95% CI: 0.71-0.83). Similar patterns of lower ER visit risk and higher risks for ICU admissions, respiratory failure, and overall hospitalizations were observed in most subgroups. Conclusion: In this large-scale study, midodrine use was associated with reduced ER visits but increased risks of respiratory failure, prolonged ICU stays, higher hospitalizations, and elevated mortality in HFrEF patients. Further research is needed to clarify midodrine's role in hemodynamic support and strengthen existing evidence.

Impact of the MEESSI-AHF tool to guide disposition decision-making in patients with acute heart failure in the emergency department: a before-and-after study

OBJECTIVES

To determine the impact of risk stratification using the MEESSI-AHF (Multiple Estimation of risk based on the Emergency department Spanish Score In patients with acute heart failure) scale to guide disposition decision-making on the outcomes of ED patients with acute heart failure (AHF), and assess the adherence of emergency physicians to risk stratification recommendations.

METHODS

This was a prospective quasi-experimental study (before/after design) conducted in eight Spanish EDs which consecutively enrolled adult patients with AHF. In the pre-implementation stage, the admit/discharge decision was performed entirely based on emergency physician judgement. During the post-implementation phase, emergency physicians were advised to 'discharge' patients classified by the MEESSI-AHF scale as low risk and 'admit' patients classified as increased risk. Nonetheless, the final decision was left to treating emergency physicians. The primary outcome was 30-day all-cause mortality. Secondary outcomes were days alive and out of hospital, in-hospital mortality and 30-day post-discharge combined adverse event (ED revisit, hospitalisation or death).

RESULTS

The pre-implementation and post-implementation cohorts included 1589 and 1575 patients, respectively (median age 85 years, 56% females) with similar characteristics, and 30-day all-cause mortality was 9.4% and 9.7%, respectively (post-implementation HR=1.03, 95% CI=0.82 to 1.29). There were no differences in secondary outcomes or in the percentage of patients entirely managed in the ED without hospitalisation (direct discharge from the ED, 23.5% vs 24.4%, OR=1.05, 95% CI=0.89 to 1.24). Adjusted models did not change these results. Emergency physicians followed the MEESSI-AHF-based recommendation on patient disposition in 70.9% of cases (recommendation over-ruling: 29.1%). Physicians were more likely to over-rule the recommendation when 'discharge' was recommended (56.4%; main reason: need for hospitalisation for a second diagnosis) than when 'admit' was recommended (12.8%; main reason: no appreciation of severity of AHF decompensation by emergency physician), with an OR for over-ruling the 'discharge' compared with the 'admit' recommendation of 8.78 (95% CI=6.84 to 11.3).

CONCLUSIONS

Implementing the MEESSI-AHF risk stratification tool in the ED to guide disposition decision-making did not improve patient outcomes.

What are the Data for Current Prognostic Tools Used to Determine the Risk of Short-Term Adverse Events in Patients with Acute Heart Failure?

BACKGROUND

Acute heart failure (AHF) is a common condition evaluated in the emergency department (ED). Patients may present with a wide range of signs and symptoms, comorbidities, exacerbating factors, and ability to follow-up. Having a decision tool to objectively assess the risk of near-term events would help guide disposition decisions in these patients.

CLINICAL QUESTION

What are the data for current tools used to determine the short-term risk of adverse events of patients with AHF in the ED setting?

EVIDENCE REVIEW

Studies retrieved included six prospective studies and three retrospective cohort studies that evaluated the following five different risk scores that may predict the risk of serious adverse events in those with AHF: Ottawa Heart Failure Risk Score (OHFRS), Emergency Heart Failure Mortality Risk Grade (EHMRG), EHMRG at 30 days with addition of an ST depression variable (EHMRG30-ST), Multiple Estimation of Risk Based on the Emergency Department Spanish 40 Score in Patients with AHF Score (MEESSI-AHF), and the Improving Heart Failure Risk Stratification in the ED (STRATIFY) tool.

CONCLUSIONS

Based on the available literature, risk scores, including the OHFRS; EHMRG; EHMRG30-ST; MEESSI-AHF; and STRATIFY, can help identify short-term risk of adverse events, but are insufficient in isolation. Clinicians should use these tools in conjunction with other factors, such as the patient's symptom trajectory, hemodynamics, and access to follow-up care.

Emergency department risk assessment and disposition of acute heart failure patients: existing evidence and ongoing challenges

Heart failure (HF) is a global public health burden, characterized by frequent emergency department (ED) visits and hospitalizations. Identifying successful strategies to avoid admissions is crucial for the management of acutely decompensated HF, let alone resource utilization. The primary challenge for ED management of patients with acute heart failure (AHF) lies in the identification of those who can be safely discharged home instead of being admitted. This is an elaborate decision, based on limited objective evidence. Thus far, current biomarkers and risk stratification tools have had little impact on ED disposition decision-making. A reliable definition of a low-risk patient profile is warranted in order to accurately identify patients who could be appropriate for early discharge. A brief period of observation can facilitate risk stratification and allow for close monitoring, aggressive treatment, continuous assessment of response to initial therapy and patient education. Lung ultrasound may represent a valid bedside tool to monitor cardiogenic pulmonary oedema and determine the extent of achieved cardiac unloading after treatment in the observation unit setting. Safe discharge mandates multidisciplinary collaboration and thoughtful assessment of socioeconomic and behavioural factors, along with a clear post-discharge plan put forward and a close follow-up in an outpatient setting. Ongoing research to improve ED risk stratification and disposition of AHF patients may mitigate the tremendous public health challenge imposed by the HF epidemic.

Emergency department direct discharge compared to short-stay unit admission for selected patients with acute heart failure: analysis of short-term outcomes

Short stay unit (SSU) is an alternative to conventional hospitalization in patients with acute heart failure (AHF), but the prognosis is not known compared to direct discharge from the emergency department (ED). To determine whether direct discharge from the ED of patients diagnosed with AHF is associated with early adverse outcomes versus hospitalization in SSU. Endpoints, defined as 30-day all-cause mortality or post-discharge adverse events, were evaluated in patients diagnosed with AHF in 17 Spanish EDs with an SSU, and compared by ED discharge vs. SSU hospitalization. Endpoint risk was adjusted for baseline and AHF episode characteristics and in patients matched by propensity score (PS) for SSU hospitalization. Overall, 2358 patients were discharged home and 2003 were hospitalized in SSUs. Discharged patients were younger, more frequently men, with fewer comorbidities, had better baseline status, less infection, rapid atrial fibrillation and hypertensive emergency as the AHF trigger, and had a lower severity of AHF episode. While their 30-day mortality rate was lower than in patients hospitalized in SSU (4.4% vs. 8.1%, p < 0.001), 30-day post-discharge adverse events were similar (27.2% vs. 28.4%, p = 0.599). After adjustment, there were no differences in the 30-day risk of mortality of discharged patients (adjusted HR 0.846, 95% CI 0.637-1.107) or adverse events (1.035, 0.914-1.173). In 337 pairs of PS-matched patients, there were no differences in mortality or risk of adverse event between patients directly discharged or admitted to an SSU (0.753, 0.409-1.397; and 0.858, 0.645-1.142; respectively). Direct ED discharge of patients diagnosed with AHF provides similar outcomes compared to patients with similar characteristics and hospitalized in a SSU.

Retrospective validation of acute heart failure risk stratification in the emergency department

BACKGROUND

Heart Failure (HF) is a primary diagnosis for hospital admission from the Emergency Department (ED), although not all patients require hospitalization. The Emergency Heart Failure Mortality Risk Grade (EHMRG) estimates 7-day mortality in patients with acute HF in ED settings, but further validation is needed in the United States (US).

OBJECTIVES

To validate EHMRG scores by risk-stratifying patients with acute HF in a large tertiary healthcare center in the US and analyze outcome measures to determine if EHMRG risk scores safely identify low-risk groups that may be discharged or managed in ED observation units (EDOUs).

METHODS

A retrospective cohort analysis of 304 patients with acute HF presenting to an ED at a large, tertiary healthcare center was completed. EHMRG scores were calculated to stratify patients according to published thresholds. Mortality and major adverse cardiac event (MACE) rates were analyzed.

RESULTS

No deaths occurred in very low and low-risk EHMRG groups at 7 days post discharge. 30-day mortality was significantly less in the lower risk groups (3.1%) when compared to all other patients (11.1%). MACE rates at 30 days in the very low risk group (15%) were significantly less when compared to all other patients (31.3%). Hospitalizations occurred in 23.4% of patients in lower risk groups.

CONCLUSIONS

ED risk stratification with EHMRG differentiates high-risk patients requiring hospitalization from lower risk patients who can be safely managed in alternative settings with good outcomes. Data supports improved pathways for patients with acute HF during a time of high hospital volumes.

Evaluation of the HEFESTOS scale to predict outcomes in emergency department acute heart failure patients

The HEFESTOS scale was developed in 14 Spanish primary care centres and validated in 9 primary care centres of other European countries. It showed good performance to predict death/hospitalisation during the first 30 days after an episode of acute heart failure (AHF), with c-statistics of 0.807/0.730 in the derivation/validation cohorts. We evaluated this scale in the emergency department (ED) setting, comparing it to the EHMRG and MEESSI scales in the ED and the EFFECT and GWTG scales in hospitalised patients, to predict 30-day outcomes, including death and hospitalisation. Consecutive AHF patients were enrolled in 34 Spanish EDs in January-February 2016, 2018, and 2019 with variables needed to calculate outcome scores. Thirty-day hospitalisation/death (together and separately) and post-discharge combined adverse event (ED revisit or hospitalisation for AHF or all-cause death) were determined for patients discharged home after ED care. Predictive capacity was assessed by c-statistic with 95% confidence intervals. Of 10,869 patients, 4,044 were included (median age: 83 years, 54% women). The performance of HEFESTOS was modest for 30-day hospitalisation/death, c-statistic=0.656 (0.637-0.675), hospitalisation, 0.650 (0.631-0.669), and death, 0.610 (0.576-0.644). Of 1,034 patients with scores for the 5 scales, HEFESTOS had the numerically highest c-statistic for hospitalisation/death at 30 days, 0.666 (0.627-0.704), vs. MEESSI= 0.650 (0.612-0.687, p=0.51), EFFECT=0.633 (0.595-0.672, p=0.21), GWTG=0.618 (0.578-0.657, p=0.06) and EHMRG=0.617 (0.577-0.704, p=0.07). Similar modest performances were observed for predicting hospitalisation [ranging from HEFESTOS=0.656 (0.618-0.695) to GWTG=0.603 (0.564-0.643)]. Conversely, prediction of 30-day death was good with the MEESSI=0.787 (0.728-845), EFFECT=0.754 (0.691-0.818) and GWTG=0.749 (0.689-0.809) scales, and modest with EHMRG=0.649 (0.581-0.717) and HEFESTOS=0.610 (0.538-0.683). Although the HEFESTOS scale was numerically better for predicting 30-day hospitalisation/death in ED AHF patients, its modest performance precludes routine use. Only 30-day mortality was adequately predicted by some scales, with the MEESSI achieving the best results.

The Clinical outcomes, healthcare resource utilization, and related costs (COHERENT) model. Application in heart failure patients

INTRODUCTION AND OBJECTIVES

Composite endpoints are widely used but have several limitations. The Clinical outcomes, healthcare resource utilization and related costs (COHERENT) model is a new approach for visually displaying and comparing composite endpoints including all their components (incidence, timing, duration) and related costs. We aimed to assess the validity of the COHERENT model in a patient cohort.

METHODS

A color graphic system displaying the percentage of patients in each clinical situation (vital status and location: at home, emergency department [ED] or hospital) and related costs at each time point during follow-up was created based on a list of mutually exclusive clinical situations coded in a hierarchical fashion. The system was tested in a cohort of 1126 patients with acute heart failure from 25 hospitals. The system calculated and displayed the time spent in each clinical situation and health care resource utilization-related costs over 30 days.

RESULTS

The model illustrated the times spent over 30 days (2.12% in ED, 23.6% in index hospitalization, 2.7% in readmissions, 65.5% alive at home, and 6.02% dead), showing significant differences between patient groups, hospitals, and health care systems. The tool calculated and displayed the daily and cumulative health care-related costs over time (total, €4 895 070; mean, €144.91 per patient/d).

CONCLUSIONS

The COHERENT model is a new, easy-to-interpret, visual display of composite endpoints, enabling comparisons between patient groups and cohorts, including related costs. The model may constitute a useful new approach for clinical trials or observational studies, and a tool for benchmarking, and value-based health care implementation.

Differential Expression of microRNAs in acute and chronic heart Failure

BACKGROUND

MicroRNAs modify protein expression at a post-transcriptional level and their circulating levels may express the underlying molecular pathways.

OBJECTIVE

The purpose of this study was to assess the differential expression of microRNAs related to myocardial cell energy substrate, autophagy, and ischaemia in chronic and acute heart failure (HF).

METHODS

In this case-control study, we studied 19 patients with acute HF (AHF) and 19 patients with chronic HF (CHF). Basic demographic and clinical characteristics were collected from the patients upon arrival, at 48 hours, and at 120 hours. Blood samples for microRNAs measurements (miR-22, -92a, and -499), b type natriuretic peptide (BNP), C reactive protein, and high sensitivity cardiac troponin I were collected in all study points. In this study, we included subjects with a left ventricular ejection fraction of <40%.

RESULTS

At baseline circulating miR-22 levels were 1.9-fold higher (p<0.001), miR-92a levels were 1.25-fold higher (p=0.003), and miR-499 were 5-times lower (p<0.001) in AHF compared to CHF. Interestingly, circulating miR-499 was found to be associated with BNP levels (r=0.47, p=0.01). At follow-up there was a stepwise increase in the levels of all three examined microRNAs (miR-22, p=0.001, miR-92a, p=0.001, and miR-499, p<0.001) for AHF but not for CHF subjects.

CONCLUSIONS

MicroRNAs -22, -92a, and -499 are differentially expressed in chronic and acute HF subjects. MicroRNAs signatures are also differentially expressed up to the patients' discharge. These findings may have important implications in diagnosis, progression, and treatment in patients with chronic and acute heart failure.

Improving the EHMRG Prognostic Evaluation of Acute Heart Failure with TAPSE/PASp: A Sequential Approach

The Emergency Heart Failure Mortality Risk Grade (EHMRG) can predict short-term mortality in patients admitted for acute heart failure (AHF) in the emergency department (ED). This paper aimed to evaluate if TAPSE/PASp, an echocardiographic marker of ventricular desynchronization, can improve in-hospital death prediction in patients at moderate-to-high risk, according to EHMRG score classification. From 1 January 2018 to 30 December 2019, we retrospectively enrolled all the consecutive subjects admitted to our Internal Medicine Department for AHF from the ED. We performed bedside echocardiography within the first 24 h of admission. We evaluated EHMRG and NYHA in the ED, days of admission in Internal Medicine, and in-hospital mortality. We assessed cutoffs with ROC curve analysis and survival with Kaplan–Meier and Cox regression. We obtained a cohort of 439 subjects; 10.3% underwent in-hospital death. Patients with normal TAPSE/PASp in EHMRG Classes 4, 5a, and 5b had higher survival rates (100%, 100%, and 94.3%, respectively), while subjects with pathologic TAPSE/PASp had lower survival rates (81.8%, 78.3%, and 43.4%, respectively) (p < 0.0001, log-rank test). TAPSE/PASp, an echocardiographic marker of ventricular desynchronization, can further stratify the risk of in-hospital death evaluated by EHMRG.

Acute Heart Failure in the 2021 ESC Heart Failure Guidelines: a scientific statement from the Association for Acute CardioVascular Care (ACVC) of the European Society of Cardiology

The current European Society of Cardiology (ESC) Heart Failure Guidelines are the most comprehensive ESC document covering heart failure to date; however, the section focused on acute heart failure remains relatively too concise. Although several topics are more extensively covered than in previous versions, including some specific therapies, monitoring and disposition in the hospital, and the management of cardiogenic shock, the lack of high-quality evidence in acute, emergency, and critical care scenarios, poses a challenge for providing evidence-based recommendations, in particular when by comparison the data for chronic heart failure is so extensive. The paucity of evidence and specific recommendations for the general approach and management of acute heart failure in the emergency department is particularly relevant, because this is the setting where most acute heart failure patients are initially diagnosed and stabilized. The clinical phenotypes proposed are comprehensive, clinically relevant and with minimal overlap, whilst providing additional opportunity for discussion around respiratory failure and hypoperfusion.

Characteristics of emergency department admissions with congestive heart failure in the United States: a Nationwide cross-sectional study

Background

To understand the characteristics and clinical presentation of patients with Congestive Heart Failure (CHF) visiting the emergency department (ED), and to examine the factors associated with clinical outcomes and medical resource utilization amongst the studied population.

Methods

We analyzed the 2014–2016 ED visit data collected by the National Hospital Ambulatory Medical Care Survey Emergency Department Subfile. We described patients’ characteristics and clinical outcomes after ED visits with CHF vs. without CHF. Logistic regression models were used to estimate the association between these characteristics and CHF.

Results

ED visits with CHF visits represented 3.9% of annual ED visits (3,647,113 out of 92,899,685). ED patients with CHF were mostly non-Hispanic White (69.9%). Compared with other ED patients, those with CHF were older, including 71.2% that were were older than 60. ED patients with CHF were more likely to be admitted to the hospital (aOR: 2.56; 95% CI: 2.28–2.87) and intensive care unit (ICU) (aOR: 2.19; 95% CI: 1.77–2.71).

Conclusions

This study describes the demographic, socioeconic, and clinical characteristics of patients who present to the ED with CHF through analysis of a comprehensive national survey. These patients require a higher level of emergency care due to their higher chance of admittance to the hospital and ICU.

Emergency Department Visits Versus Hospital Readmissions Among Patients Hospitalized for Heart Failure

BACKGROUND

Worsening heart failure (HF) often requires hospitalization but in some cases may be managed in the outpatient or emergency department (ED) settings. The predictors and clinical significance of ED visits without admission vs hospitalization are unclear.

METHODS

The ASCEND-HF trial included 2661 US patients hospitalized for HF with reduced or preserved ejection fraction. Clinical characteristics were compared between patients with a subsequent all-cause ED visit (with ED discharge) within 30 days vs all-cause readmission within 30 days. Factors associated with each type of care were assessed in multivariable models. Multivariable models landmarked at 30 days evaluated associations between each type of care and subsequent 150-day mortality.

RESULTS

Through 30-day follow-up, 193 patients (7%) had ED discharge, 459 (17%) had readmission, and 2009 (76%) had neither urgent visit. Patients with ED discharge vs readmission were similar with respect to age, sex, systolic blood pressure, ejection fraction, and coronary artery disease, whereas ED discharge patients had a modestly lower creatinine (P < .01). Among patients with either event within 30 days, a higher creatinine and prior HF hospitalization were associated with a higher likelihood of readmission, as compared with ED discharge (P < .02). Landmarked at 30 days, rates of death during the subsequent 150 days were 21.0% for patients who were readmitted and 11.4% for patients discharged from the ED. Compared with patients who were readmitted, ED discharge was independently associated with lower 150-day mortality (adjusted hazard ratio 0.58, 95% confidence interval 0.36-0.92, P = .02).

CONCLUSIONS

In this cohort of US patients hospitalized for HF, worse renal function and prior HF hospitalization were associated with a higher likelihood of early postdischarge readmission, as compared with ED discharge. Although subsequent mortality was high after discharge from the ED, this risk of mortality was significantly lower than patients who were readmitted to the hospital.

Impact of hospital and emergency department structural and organizational characteristics on outcomes of acute heart failure

INTRODUCTION AND OBJECTIVES

To determine whether structural/organizational characteristics of hospitals and emergency departments (EDs) affect acute heart failure (AHF) outcomes.

METHODS

We performed a secondary analysis of the EAHFE Registry. Six hospital/ED characteristics were collected and were related to 7 postindex events and postdischarge outcomes, adjusted by the period of patient inclusion, baseline patient characteristics, AHF episode features, and hospital and ED characteristics. The relationship between discharge directly from the ED (DDED) and outcomes was assessed, and interaction was analyzed according to the hospital/ED characteristics.

RESULTS

We analyzed 17 974 AHF episodes included by 40 Spanish EDs. Prolonged stays were less frequent in high-technology hospitals and those with hospitalization at home and with high-inflow EDs, and were more frequent in hospitals with a heart failure unit (HFU) and an ED observation unit. In-hospital mortality was lower in high-technology hospitals (OR, 0.78; 95%CI, 0.65-0.94). Analysis of 30-day postdischarge outcomes showed that hospitals with a short-stay unit (SSU) had higher hospitalization rates (OR, 1.19; 95%CI, 1.02-1.38), high-inflow EDs had lower mortality (OR, 0.73; 95%CI, 0.56-0.96) and fewer combined events (OR, 0.87; 95%CI, 0.76-0.99), while hospitals with HFU had fewer ED reconsultations (OR, 0.83; 95%CI, 0.76-0.91), hospitalizations (OR, 0.85; 95%CI, 0.75-0.97), and combined events (OR, 0.84; 95%CI, 0.77-0.92). The higher the percentage of DDED, the fewer the prolonged stays. Among other interactions, we found that more frequent DDED was associated with more 30-day postdischarge reconsultations, hospitalizations and combined events in hospitals without SSUs, but not in hospitals with an SSU.

CONCLUSIONS

AHF outcomes were significantly affected by the structural/organizational characteristics of hospitals and EDs and their aggressiveness in ED management.

Risk stratification in heart failure decompensation in the community: HEFESTOS score

Aims

Because evidence regarding risk stratification predicting prognosis of patients with heart failure (HF) decompensation attended in primary care is lacking, we developed and externally validated a model to forecast death/hospitalization during the first 30 days after an episode of decompensation. The predictive model is based on variables easily obtained in primary care settings.

Methods and results

HEFESTOS is a multinational study consisting of a derivation cohort of HF patients recruited in 14 primary healthcare centres in Barcelona and a validation cohort from primary healthcare in 9 other European countries. The derivation and validation cohorts included 561 and 250 patients, respectively. Percentages of women in the derivation and validation cohorts were 56.3% and 47.6% (P = 0.026), respectively. Mean age was 82.2 years (SD 8.03) in the derivation cohort, and 79.3 years (SD 10.3) in the validation one (P = 0.001). HF with preserved ejection fraction represented 72.1% in the derivation cohort and 58.8% in the validation one (P = 0.004). Mortality/hospitalization during the first 30 days after a decompensation episode was 30.5% and 26% (P = 0.225) for the derivation and validation cohorts, respectively. Multivariable logistic regression models were performed to develop a score of risk. The identified predictors were worsening of dyspnoea [odds ratio (OR): 2.5; P = 0.001], orthopnoea (OR: 2.16; P = 0.01), paroxysmal nocturnal dyspnoea (OR: 2.25; P = 0.01), crackles (OR: 2.35; P = 0.01), New York Heart Association functional class III/IV (OR: 2.11; P = 0.001), oxygen saturation ≤ 90% (OR: 4.98; P < 0.001), heart rate > 100 b.p.m. (OR: 2.72; P = 0.002), and previous hospitalization due to HF (OR: 2.45; P < 0.001). The model showed an area under the curve (AUC) of 0.807, 95% confidence interval (CI): [0.770; 0.845] in the derivation cohort and AUC 0.73, 95% CI: [0.660; 0.808] in the validation one. No significant differences between both cohorts were observed (P = 0.08). Regarding probability of hospitalization/death, three risk groups were defined: low <5%, medium 5–20%, and high >20%. Outcome incidence was 2.7% for the low‐risk group, 12.8% for medium risk, and 46.2% for high risk in the derivation cohort, and 9.1%, 12.9%, and 39.6% in the validation one.

Conclusions

The HEFESTOS score, based on variables easily accessible in a community setting and validated in an external European cohort, properly predicted the risk of death/hospitalization during the first 30 days after an HF decompensation episode.

Disposition of acute decompensated heart failure from the emergency department: An evidence-based review

INTRODUCTION

Acute heart failure (HF) exacerbation is a serious and common condition seen in the Emergency Department (ED) that has significant morbidity and mortality. There are multiple clinical decision tools that Emergency Physicians (EPs) can use to reach an appropriate evidence-based disposition for these patients.

OBJECTIVE

This narrative review is an evidence-based discussion of clinical decision-making tools aimed to assist EPs risk stratify patients with AHF and determine disposition.

DISCUSSION

Risk stratification in patients with AHF exacerbation presenting to the ED is paramount in reaching an appropriate disposition decision. High risk features include hypotension, hypoxemia, elevated brain natriuretic peptide (BNP) and/or troponin, elevated creatinine, and hyponatremia. Patients who require continuous vasoactive infusions, respiratory support, or are initially treatment-resistant generally require intensive care unit admission. In most instances, new-onset AHF patients should be admitted for further evaluation. Other AHF patients in the ED can be risk stratified with the Ottawa HF Risk Score (OHFRS), the Multiple Estimation of Risk Based on Spanish Emergency Department Score (MEESSI), or the Emergency HF Mortality Risk Grade (EHFMRG). These tools take various factors into account such as mode of arrival to the ED, vital signs, laboratory values like troponin and pro-BNP, and clinical course. If used appropriately, these scores can predict patients at low risk for adverse outcomes.

CONCLUSION

This article discusses evidence-based disposition of patients in acute decompensated HF presenting to the ED. Knowledge of these factors and risk tools can assist emergency clinicians in determining appropriate disposition of patients with HF.

Association between acute heart failure and major cardiovascular events in atrial fibrillation patients presenting at the emergency department: an EMERG-AF ancillary study

BACKGROUND

There is little evidence concerning the impact of acute heart failure (AHF) on the prognosis of atrial fibrillation patients attending the emergency department (ED).

OBJECTIVE

To know the influence of AHF on adverse long-term outcomes in patients presenting with atrial fibrillation in ED.

DESIGN, SETTING AND PARTICIPANTS

Secondary analysis of a prospective, multicenter, observational cohort of consecutive atrial fibrillation patients, performed in 62 Spanish EDs.

EXPOSURE

Patients presenting with atrial fibrillation in ED were divided by the presence or absence of AHF at arrival.

OUTCOME MEASURES AND ANALYSIS

Primary outcome: combination of 1-year all-cause mortality, major bleeding, stroke and other major cardiovascular events (MACE). Secondary outcomes: each of these events analyzed separately. Cox and logistic regression were used to investigate adjusted significant associations between AHF and outcomes.

MAIN RESULTS

Totally, 1107 consecutive ED patients with atrial fibrillation attending ED were analyzed, 262 (23.7%) with AHF. The primary outcome occurred in 433 patients (39.1%), 1-year all-cause mortality in 151 patients (13.6%), major bleeding in 47 patients (4.2 %), stroke in 31 patients (2.8 %) and other MACE in 333 patients (30.1%). AHF was independently related to the primary outcome [odds ratio (OR), 1.422; 95% confidence interval (CI), 1.020-1.981; P = 0.037)] and 1-year MACE (OR, 1.797; 95% CI, 1.285-2.512; P = 0.001), but not to 1-year all-cause mortality, stroke or bleeding.

CONCLUSIONS

The coexistence of AHF in patients presenting with atrial fibrillation in ED is associated to a worse 1-year outcome mainly due to MACE, but does not impact in overall mortality.

Risk stratification scores for patients with acute heart failure in the Emergency Department: A systematic review

AIMS

This study aimed to systematically identify and summarise all risk scores evaluated in the emergency department setting to stratify acute heart failure patients.

METHODS AND RESULTS

A systematic review of PubMed and Web of Science was conducted including all multicentre studies reporting the use of risk predictive models in emergency department acute heart failure patients. Exclusion criteria were: (a) non-original articles; (b) prognostic models without predictive purposes; and (c) risk models without consecutive patient inclusion or exclusively tested in patients admitted to a hospital ward. We identified 28 studies reporting findings on 19 scores: 13 were originally derived in the emergency department (eight exclusively using acute heart failure patients), and six in emergency department and hospitalised patients. The outcome most frequently predicted was 30-day mortality. The performance of the scores tended to be higher for outcomes occurring closer to the index acute heart failure event. The eight scores developed using acute heart failure patients only in the emergency department contained between 4-13 predictors (age, oxygen saturation and creatinine/urea included in six scores). Five scores (Emergency Heart Failure Mortality Risk Grade, Emergency Heart Failure Mortality Risk Grade 30 Day mortality ST depression, Epidemiology of Acute Heart Failure in Emergency department 3 Day, Acute Heart Failure Risk Score, and Multiple Estimation of risk based on Emergency department Spanish Score In patients with Acute Heart Failure) have been externally validated in the same country, and two (Emergency Heart Failure Mortality Risk Grade and Multiple Estimation of risk based on Emergency department Spanish Score In patients with Acute Heart Failure) further internationally validated. The c-statistic for Emergency Heart Failure Mortality Risk Grade to predict seven-day mortality was between 0.74-0.81 and for Multiple Estimation of risk based on Emergency department Spanish Score In patients with Acute Heart Failure to predict 30-day mortality was 0.80-0.84.

CONCLUSIONS

There are several scales for risk stratification of emergency department acute heart failure patients. Two of them are accurate, have been adequately validated and may be useful in clinical decision-making in the emergency department i.e. about whether to admit or discharge.

The FAST-FURO study: effect of very early administration of intravenous furosemide in the prehospital setting to patients with acute heart failure attending the emergency department

AIMS

The effect of early administration of intravenous (IV) furosemide in the emergency department (ED) on short-term outcomes of acute heart failure (AHF) patients remains controversial, with one recent Japanese study reporting a decrease of in-hospital mortality and one Korean study reporting a lack of clinical benefit. Both studies excluded patients receiving prehospital IV furosemide and only included patients requiring hospitalization. To assess the impact on short-term outcomes of early IV furosemide administration by emergency medical services (EMS) before patient arrival to the ED.

METHODS AND RESULTS

In a secondary analysis of the Epidemiology of Acute Heart Failure in Emergency Departments (EAHFE) registry of consecutive AHF patients admitted to Spanish EDs, patients treated with IV furosemide at the ED were classified according to whether they received IV furosemide from the EMS (FAST-FURO group) or not (CONTROL group). In-hospital all-cause mortality, 30-day all-cause mortality, and prolonged hospitalization (>10 days) were assessed. We included 12 595 patients (FAST-FURO = 683; CONTROL = 11 912): 968 died during index hospitalization [7.7%; FAST-FURO = 10.3% vs. CONTROL = 7.5%; odds ratio (OR) = 1.403, 95% confidence interval (95% CI) = 1.085-1.813; P = 0.009], 1269 died during the first 30 days (10.2%; FAST-FURO = 13.4% vs. CONTROL = 9.9%; OR = 1.403, 95% CI = 1.146-1.764; P = 0.004), and 2844 had prolonged hospitalization (22.8%; FAST-FURO = 25.8% vs. CONTROL = 22.6%; OR = 1.189, 95% CI = 0.995-1.419; P = 0.056). FAST-FURO group patients had more diabetes mellitus, ischaemic cardiomyopathy, peripheral artery disease, left ventricular systolic dysfunction, and severe decompensations, and had a better New York Heart Association class and had less atrial fibrillation. After adjusting for these significant differences, early IV furosemide resulted in no impact on short-term outcomes: OR = 1.080 (95% CI = 0.817-1.427) for in-hospital mortality, OR = 1.086 (95% CI = 0.845-1.396) for 30-day mortality, and OR = 1.095 (95% CI = 0.915-1.312) for prolonged hospitalization. Several sensitivity analyses, including analysis of 599 pairs of patients matched by propensity score, showed consistent findings.

CONCLUSION

Early IV furosemide during the prehospital phase was administered to the sickest patients, was not associated with changes in short-term mortality or length of hospitalization after adjustment for several confounders.

Health Care Delivery for Heart Failure Patients During The COVID-19 Pandemic; A Consensus of The Saudi Heart Failure Working Group (SAUDI-HF)

The Coronavirus disease 2019 (COVID-19) pandemic led to global and national rapid health system changes to treat the affected patients and prevent the spread of the virus. The social distancing, redirecting resources, and nationwide lockdown led to the cancellation of non-urgent hospital visits and interruption of continuity of care for patients with chronic cardiac conditions such as heart failure (HF). This consensus document addresses the domains of health care delivery that are affected by the pandemic. It explains the current situation of health care delivery to heart failure patients and further recommendation on how to overcome this. Thus, maintaining quality and continuity of care to the HF population.

Analysis of standards of quality for outcomes in acute heart failure patients directly discharged home from emergency departments and their relationship with the emergency department direct discharge rate

OBJECTIVE

Experts recommended that direct discharge without hospitalization (DDWH) for emergency departments (EDs) able to observe acute heart failure (AHF) patients should be >40%, and these discharged patients should fulfil the following outcome standards: 30-day all-cause mortality <2% (outcome A); 7-day ED revisit due to AHF < 10% (outcome B); and 30-day ED revisit/hospitalization due to AHF < 20% (outcome C). We investigated these outcomes in a nationwide cohort and their relationship with the ED DDWH percentage.

METHODS

We analyzed the EAHFE registry (includes about 15% of Spanish EDs), calculated DDWH percentage of each ED, and A/B/C outcomes of DDWH patients, overall and in each individual ED. Relationship between ED DDWH and outcomes was assessed by linear and quadratic regression models, non-weighted and weighted by DDWH patients provided by each ED.

RESULTS

Among 17,420 patients, 4488 had DDWH (25.8%, median ED stay = 0 days, IQR = 0-1). Only 12.9% EDs achieved DDWH > 40%. Considering DDWH patients altogether, outcomes A/C were above the recommended standards (4.3%/29.4%), while outcome B was nearly met (B = 10.1%). When analyzing individual EDs, 58.1% of them achieved the outcome B standard, while outcomes A/C standards were barely achieved (19.3%/9.7%). We observed clinically relevant linear/quadratic relationships between higher DDWH and worse outcomes B (weighted R² = 0.184/0.322) and C (weighted R² = 0.430/0.624), but not with outcome A (weighted R² = 0.002/0.022).

CONCLUSIONS

The EDs of this nationwide cohort do not fulfil the standards for AHF patients with DDWH. High DDWH rates negatively impact ED revisit or hospitalization but not mortality. This may represent an opportunity for improvement in better selecting patients for early ED discharge and in ensuring early follow-up after ED discharge.

Factors associated with in-hospital mortality and adverse outcomes during the vulnerable post-discharge phase after the first episode of acute heart failure: results of the NOVICA-2 study

OBJECTIVE

To identify patients at risk of in-hospital mortality and adverse outcomes during the vulnerable post-discharge period after the first acute heart failure episode (de novo AHF) attended at the emergency department.

METHODS

This is a secondary review of de novo AHF patients included in the prospective, multicentre EAHFE (Epidemiology of Acute Heart Failure in Emergency Department) Registry. We included consecutive patients with de novo AHF, for whom 29 independent variables were recorded. The outcomes were in-hospital all-cause mortality and all-cause mortality and readmission due to AHF within 90 days post-discharge. A follow-up check was made by reviewing the hospital medical records and/or by phone.

RESULTS

We included 3422 patients. The mean age was 80 years, 52.1% were women. The in-hospital mortality was 6.9% and was independently associated with dementia (OR = 2.25, 95% CI = 1.62-3.14), active neoplasia (1.97, 1.41-2.76), functional dependence (1.58, 1.02-2.43), chronic treatment with beta-blockers (0.62, 0.44-0.86) and severity of decompensation (6.38, 2.86-14.26 for high-/very high-risk patients). The 90-day post-discharge combined endpoint was observed in 19.3% of patients and was independently associated with hypertension (HR = 1.40, 1.11-1.76), chronic renal insufficiency (1.23, 1.01-1.49), heart valve disease (1.24, 1.01-1.51), chronic obstructive pulmonary disease (1.22, 1.01-1.48), NYHA 3-4 at baseline (1.40, 1.12-1.74) and severity of decompensation (1.23, 1.01-1.50; and 1.64, 1.20-2.25; for intermediate and high-/very high-risk patients, respectively), with different risk factors for 90-day post-discharge mortality or rehospitalisation.

CONCLUSIONS

The severity of decompensation and some baseline characteristics identified de novo AHF patients at increased risk of developing adverse outcomes during hospitalisation and the vulnerable post-discharge phase, without significant differences in these risk factors according to patient age at de novo AHF presentation.

MEESSI-AHF risk score performance to predict multiple post-index event and post-discharge short-term outcomes

BACKGROUND

The multiple estimation of risk based on the emergency department Spanish score in patients with acute heart failure (MEESSI-AHF) is a risk score designed to predict 30-day mortality in acute heart failure patients admitted to the emergency department. Using a derivation cohort, we evaluated the performance of the MEESSI-AHF risk score to predict 11 different short-term outcomes.

METHODS

Patients with acute heart failure from 41 Spanish emergency departments (n=7755) were recruited consecutively in two time periods (2014 and 2016). Logistic regression models based on the MEESSI-AHF risk score were used to obtain c-statistics for 11 outcomes: three with follow-up from emergency department admission (inhospital, 7-day and 30-day mortality) and eight with follow-up from discharge (7-day mortality, emergency department revisit and their combination; and 30-day mortality, hospital admission, emergency department revisit and their two combinations with mortality).

RESULTS

The MEESSI-AHF risk score strongly predicted mortality outcomes with follow-up starting at emergency department admission (c-statistic 0.83 for 30-day mortality; 0.82 for inhospital death, P=0.121; and 0.85 for 7-day mortality, P=0.001). Overall, mortality outcomes with follow-up starting at hospital discharge predicted slightly less well (c-statistic 0.80 for 7-day mortality, P=0.011; and 0.75 for 30-day mortality, P<0.001). In contrast, the MEESSI-AHF score predicted poorly outcomes involving emergency department revisit or hospital admission alone or combined with mortality (c-statistics 0.54 to 0.62).

CONCLUSIONS

The MEESSI-AHF risk score strongly predicts mortality outcomes in acute heart failure patients admitted to the emergency department, but the model performs poorly for outcomes involving hospital admission or emergency department revisit. There is a need to optimise this risk score to predict non-fatal events more effectively.

High-sensitivity cardiac troponin T 30 days all-come mortality in patients with acute heart failure. A Propensity Score-Matching Analysis Based on the EAHFE Registry. TROPICA4 Study

BACKGROUND

Acute heart failure (AHF) patients with high troponin levels have a worse prognosis. High-sensitive troponin T (hs-TnT) has been used as a tool to stratify prognosis in many scales but always as a qualitative and not as a quantitative variable.

OBJECTIVES

The main objective of this study was to determine the best hs-TnT cut-off for prediction of 30-day all-cause mortality.

METHODS

The EAHFE registry, a prospective follow-up cohort of patients with AHF, was analysed. We performed a propensity score analysis of the optimal hs-TnT cut-off point previously determined by receiver operating characteristic (ROC) curve analysis.

RESULTS

Of the 13 791 patients in the EAHFE cohort, we analysed 3190 patients in whom hs-TnT determination was available. The area under the ROC curve for 30-day all-cause mortality was 0.70 (CI95% 0.68 to 0.71; P < .001), establishing an optimal cut-off of hs-TnT of 35 ng/L. The sensitivity and specificity of this cut-off were 76.2 and 55.5%, respectively, with a negative predictive value (NPV) of 95.3%. A propensity score was made with 34 variables showing differences based on the cut-off of 35 ng/L for hs-TnT. In the analysis of the population obtained with the propensity score, patients with hs-TnT > 35 ng/L showed a greater 30-day all-cause mortality, with a HR of 2.95 (CI95% 1.83-4.75; P < .001). External validation reported similar results.

CONCLUSIONS

An hs-TnT value of 35 ng/L is an adequate cut-off to evaluate the prediction of 30-day all-cause mortality with a NPV of 95.3%.

The CRAS-EAHFE study: Characteristics and prognosis of acute heart failure episodes with cardiorenal-anaemia syndrome at the emergency department

BACKGROUND

The coexistence of other comorbidities confers poor outcomes in patients with acute heart failure. Our aim was to determine the characteristics of patients with acute heart failure and cardiorenal anaemia syndrome and the relationship between renal dysfunction and anaemia, alone or combined as cardiorenal anaemia syndrome, on short-term outcomes.

METHODS

We analysed the Epidemiology of Acute Heart Failure in Emergency Departments registry (cohort of patients with acute heart failure in Spanish emergency departments). Renal dysfunction was defined by an estimated glomerular filtration rate <60 ml/min/m², anaemia by haemoglobin values <12/<13 g/dl in women/men, and cardiorenal anaemia syndrome as the presence of both. Comparisons were made according to cardiorenal-anaemia syndrome positive (CRAS+) with respect to the rest of patients (CRAS-) and according the presence of renal dysfunction (RD+) and anaemia (A+), (alone, RD+/A-, RD-/A+) or in combination (RD+/A+; i.e. CRAS+) with respect to patients without renal dysfunction and anaemia (RD-/A-). The primary outcome was 30-day mortality, and the secondary outcomes were need for admission, prolonged hospitalisation (>10 days), in-hospital mortality during the index event, and reconsultation and the combination of 30-day post-discharge reconsultation/death. These short-term outcomes were compared and adjusted for differences among groups.

RESULTS

Of the 13,307 patients analysed, CRAS+ (36.4%) was associated with older age, multiple comorbidities, chronic use of loop diuretics, oedemas and hypotension. The 30-day mortality in CRAS+ was greater than in CRAS- (hazard ratio = 1.46, 95% confidence interval = 1.26-1.68) and RD-/A- (hazard ratio = 1.83, 95% confidence interval = 1.46-2.28) control groups. The mortality level was also higher in RD+/A- (hazard ratio = 1.40, 95% confidence interval = 1.10-1.78) and higher, but not statistically significant, in RD-/A+ (hazard ratio = 1.28, 95% confidence interval = 0.99-1.63) with respect to RD-/A-. All of the secondary outcomes, when related to CRAS- and RD-/A- control groups, were worse for CRAS+ and to a lesser extent, RD+/A-, being more rarely observed in RD-/A+.

CONCLUSIONS

Cardiorenal anaemia syndrome in acute heart failure is related to greater mortality and worse short-term outcomes, and the impact of renal dysfunction and anaemia seems to be additive.

Departments involved during the first episode of acute heart failure and subsequent emergency department revisits and rehospitalisations: an outlook through the NOVICA cohort

OBJECTIVES

We investigated the natural history of patients after a first episode of acute heart failure (FEAHF) requiring emergency department (ED) consultation, focusing on: the frequency of ED visits and hospitalisations, departments admitting patients during the first and subsequent hospitalisations, and factors associated with difficult disease control.

METHODS AND RESULTS

We included consecutive patients diagnosed with FEAHF (either with or without previous heart failure diagnosis) in four EDs during 5 months in three different time periods (2009, 2011, 2014). Diagnosis was adjudicated by local principal investigators. The clinical characteristics of the index event were prospectively recorded, and all post-discharge ED visits and hospitalisations [related/unrelated to acute heart failure (AHF)], as well as departments involved in subsequent hospitalisations were retrospectively ascertained. 'Uncontrolled disease' during the first year after FEAHF was considered if patients were attended at ED (≥ 3 times) or hospitalised (≥ 2 times) for AHF or died. Overall, 505 patients with FEAHF were included and followed for a mean of 2.4 years. In-hospital mortality was 7.5%. Among 467 patients discharged alive, 288 died [median survival 3.9 years, 95% confidence interval (CI) 3.5-4.4], 421 (90%) revisited the ED (2342 ED visits; 42.4% requiring hospitalisation, 34.0% AHF-related) and 357 (77%) were hospitalised (1054 hospitalisations; 94.1% through ED, 51.4% AHF-related). AHF-related hospitalisations were mainly in internal medicine (28.0%), short-stay unit (26.3%), cardiology (20.8%), and geriatrics (14.1%). Only 47.4% of AHF-related hospitalisations were in the same department as the FEAHF, and internal medicine involvement significantly increased with subsequent hospitalisations (P = 0.01). Uncontrolled disease was observed in 31% of patients, which was independently related to age > 80 years [odds ratio (OR) 1.80, 95% CI 1.17-2.77], systolic blood pressure < 110 mmHg at ED arrival (OR 2.61, 95% CI 1.26-5.38) and anaemia (OR 2.39, 95% CI 1.51-3.78).

CONCLUSION

In the present aged cohort of AHF patients from Barcelona, Spain, the natural history after FEAHF showed different patterns of hospital department involvement. Advanced age, low systolic blood pressure and anaemia were factors related to uncontrolled disease during the year after debut.

Therapeutic Advances in the Management of Acute Decompensated Heart Failure

BACKGROUND

Acute decompensated heart failure (ADHF) is the most common presenting phenotype of acute heart failure (AHF). The main goal of this article was to review the contemporary management strategies in these patients and to describe how future clinical trials may address unmet clinical needs.

AREAS OF UNCERTAINTY

The current pathophysiologic understanding of AHF is incomplete. The guideline recommendations for the management of ADHF are based only on algorithms provided by expert consensus guided by blood pressure and/or clinical signs of congestion or hypoperfusion. The lack of adequately conducted trials to address the unmet need for evidence therapy in AHF has not yet been surpassed, and at this time, there is no evidence-based strategy for targeted decongestive therapy to improve outcomes. The precise time point for initiation of guideline-directed medical therapies (GDMTs), as respect to moment of decompensation, is also unknown.

DATA SOURCES

The available data informing current management of patients with ADHF are based on randomized controlled trials, observational studies, and administrative databases.

THERAPEUTIC ADVANCES

A major step-forward in the management of ADHF patients is recognizing congestion, either clinical or hemodynamic, as a major trigger for heart failure (HF) hospitalization and most important target for therapy. However, a strategy based exclusively on congestion is not sufficient, and at present, comprehensive assessment during hospitalization of cardiac and noncardiovascular substrate with identification of potential therapeutic targets represents "the corner-stone" of ADHF management. In the last years, substantial data have emerged to support the continuation of GDMTs during hospitalization for HF decompensation. Recently, several clinical trials raised hypothesis of "moving to the left" concept that argues for very early implementation of GDMTs as potential strategy to improve outcomes.

CONCLUSIONS

The management of ADHF is still based on expert consensus documents. Further research is required to identify novel therapeutic targets, to establish the precise time point to initiate GDMTs, and to identify patients at risk of recurrent hospitalization.

[Biomarkers in the diagnosis of cardiovascular emergencies : Acute coronary syndrome and differential diagnoses]

In emergency situations, patients present with symptoms rather than diagnoses. Due to its high prevalence, the acute coronary syndrome (ACS) dominates acute diagnostics as a consequence of its chief complaint chest pain. The challenge for the attending physicians is that only a minor part of patients with chest pain are finally diagnosed with an acute myocardial infarction (AMI) and that other rare but dangerous differential diagnoses have to be kept in mind and-vice versa-severely ill patients with AMI may present with symptoms other than chest pain. Against this background, the initial evaluation of patients requires a process-orientated view beyond the key roles of clinical assessment and biomarkers. The use of cardiac troponin is mandatory for the diagnosis of ACS, but challenging in broader utilization due to the reduced clinical specificity. Further relevant biomarkers are copeptin in combination with cardiac troponin or natriuetic peptides, which help to diagnose relevant cardiac dysfunction in (acute) heart failure. In addition, patients who present with the symptom of a suspected cardiac syncope need the differential diagnosis of an underlying arrhythmia, which may be due to an ACS or reduced left ventricular (LV) function and other causes like pulmonary embolism or structural heart disease (e. g. aortic valve stenosis). This highlights that biomarker-based diagnostics are often crucial to decide after the initial clinical evaluation whether early imaging is needed or early discharge is possible.

Factors associated with hospital emergency readmission and mortality rates in patients with heart failure or chronic obstructive pulmonary disease: a national observational study

Background

Heart failure (HF) and chronic obstructive pulmonary disease (COPD) lead to unplanned hospital activity, but our understanding of what drives this is incomplete.

Objectives

To model patient, primary care and hospital factors associated with readmission and mortality for patients with HF and COPD, to assess the statistical performance of post-discharge emergency department (ED) attendance compared with readmission metrics and to compare all the results for the two conditions.

Design

Observational study.

Setting

English NHS.

Participants

All patients admitted to acute non-specialist hospitals as an emergency for HF or COPD.

Interventions

None.

Main outcome measures

One-year mortality and 30-day emergency readmission following the patient’s first unplanned admission (‘index admission’) for HF or COPD.

Data sources

Patient-level data from Hospital Episodes Statistics were combined with publicly available practice- and hospital-level data on performance, patient and staff experience and rehabilitation programme website information.

Results

One-year mortality rates were 39.6% for HF and 24.1% for COPD and 30-day readmission rates were 19.8% for HF and 16.5% for COPD. Most patients were elderly with multiple comorbidities. Patient factors predicting mortality included older age, male sex, white ethnicity, prior missed outpatient appointments, (long) index length of hospital stay (LOS) and several comorbidities. Older age, missed appointments, (short) LOS and comorbidities also predicted readmission. Of the practice and hospital factors we considered, only more doctors per 10 beds [odds ratio (OR) 0.95 per doctor;p < 0.001] was significant for both cohorts for mortality, with staff recommending to friends and family (OR 0.80 per unit increase;p < 0.001) and number of general practitioners (GPs) per 1000 patients (OR 0.89 per extra GP;p = 0.004) important for COPD. For readmission, only hospital size [OR per 100 beds = 2.16, 95% confidence interval (CI) 1.34 to 3.48 for HF, and 2.27, 95% CI 1.40 to 3.66 for COPD] and doctors per 10 beds (OR 0.98;p < 0.001) were significantly associated. Some factors, such as comorbidities, varied in importance depending on the readmission diagnosis. ED visits were common after the index discharge, with 75% resulting in admission. Many predictors of admission at this visit were as for readmission minus comorbidities and plus attendance outside the day shift and numbers of admissions that hour. Hospital-level rates for ED attendance varied much more than those for readmission, but the omega statistics favoured them as a performance indicator.

Limitations

Data lacked direct information on disease severity and ED attendance reasons; NHS surveys were not specific to HF or COPD patients; and some data sets were aggregated.

Conclusions

Following an index admission for HF or COPD, older age, prior missed outpatient appointments, LOS and many comorbidities predict both mortality and readmission. Of the aggregated practice and hospital information, only doctors per bed and numbers of hospital beds were strongly associated with either outcome (both negatively). The 30-day ED visits and diagnosis-specific readmission rates seem to be useful performance indicators.

Future work

Hospital variations in ED visits could be investigated using existing data despite coding limitations. Primary care management could be explored using individual-level linked databases.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Misconceptions in acute heart failure diagnosis and Management in the Emergency Department

INTRODUCTION

Acute heart failure (AHF) accounts for a significant number of emergency department (ED) visits, and the disease may present along a spectrum with a variety of syndromes.

OBJECTIVE

This review evaluates several misconceptions concerning heart failure evaluation and management in the ED, followed by several pearls.

DISCUSSION

AHF is a heterogeneous syndrome with a variety of presentations. Physicians often rely on natriuretic peptides, but the evidence behind their use is controversial, and these should not be used in isolation. Chest radiograph is often considered the most reliable imaging test, but bedside ultrasound (US) provides a more sensitive and specific evaluation for AHF. Diuretics are a foundation of AHF management, but in pulmonary edema, these medications should only be provided after vasodilator administration, such as nitroglycerin. Nitroglycerin administered in high doses for pulmonary edema is safe and effective in reducing the need for intensive care unit admission. Though classically dopamine is the first vasopressor utilized in patients with hypotensive cardiogenic shock, norepinephrine is associated with improved outcomes and lower mortality. Disposition is complex in patients with AHF, and risk stratification tools in conjunction with other assessments allow physicians to discharge patients safely with follow up.

CONCLUSION

A variety of misconceptions surround the evaluation and management of heart failure including clinical assessment, natriuretic peptide use, chest radiograph and US use, nitroglycerin and diuretics, vasopressor choice, and disposition. This review evaluates these misconceptions while providing physicians with updates in evaluation and management of AHF.

The Usefulness of the MEESSI Score for Risk Stratification of Patients With Acute Heart Failure at the Emergency Department

INTRODUCTION AND OBJECTIVES

The MEESSI scale stratifies acute heart failure (AHF) patients at the emergency department (ED) according to the 30-day mortality risk. We validated the MEESSI risk score in a new cohort of Spanish patients to assess its accuracy in stratifying patients by risk and to compare its performance in different settings.

METHODS

We included consecutive patients diagnosed with AHF in 30 EDs during January and February 2016. The MEESSI score was calculated for each patient. The c-statistic measured the discriminatory capacity to predict 30-day mortality of the full MEESSI model and secondary models. Further comparisons were made among subgroups of patients from university and community hospitals, EDs with high-, medium- or low-activity and EDs that recruited or not patients in the original MEESSI derivation cohort.

RESULTS

We analyzed 4711 patients (university/community hospitals: 3811/900; high-/medium-/low-activity EDs: 2695/1479/537; EDs participating/not participating in the previous MEESSI derivation study: 3892/819). The distribution of patients according to the MEESSI risk categories was: 1673 (35.5%) low risk, 2023 (42.9%) intermediate risk, 530 (11.3%) high risk and 485 (10.3%) very high risk, with 30-day mortality of 2.0%, 7.8%, 17.9%, and 41.4%, respectively. The c-statistic for the full model was 0.810 (95%CI, 0.790-0.830), ranging from 0.731 to 0.785 for the subsequent secondary models. The discriminatory capacity of the MEESSI risk score was similar among subgroups of hospital type, ED activity, and original recruiter EDs.

CONCLUSIONS

The MEESSI risk score successfully stratifies AHF patients at the ED according to the 30-day mortality risk, potentially helping clinicians in the decision-making process for hospitalizing patients.

Renal function and acute heart failure outcome

The interaction between acute heart failure (AHF) and renal dysfunction is complex. Several studies have evaluated the prognostic value of this syndrome. The aim of this systematic review, which includes non-selected samples, was to investigate the impact of different renal function variables on the AHF prognosis. The categories included in the studies reviewed included: creatinine, blood urea nitrogen (BUN), the BUN/creatinine quotient, chronic kidney disease, the formula to estimate the glomerular filtration rate, criteria of acute renal injury and new biomarkers of renal damage such as neutrophil gelatinase-associated lipocalin (NGAL and cystatin c). The basal alterations of the renal function, as well as the acute alterations, transient or not, are related to a worse prognosis in AHF, it is therefore necessary to always have baseline, acute and evolutive renal function parameters.

Time trends in characteristics, clinical course, and outcomes of 13,791 patients with acute heart failure

OBJECTIVES

To analyse time trends in patient characteristics, clinical course, hospitalisation rate, and outcomes in acute heart failure along a 10-year period (2007-2016).

METHODS

The EAHFE registry has prospectively collected 13,971 consecutive AHF patients diagnosed in 41 Spanish emergency departments (EDs) at five different time points (2007/2009/2011/2014/2016). Eighty patient-related variables and outcomes were described and statistically significant changes along time were evaluated. We also compared our data with large ED- and hospital-based registries.

RESULTS

Compared to other large registries, our patients were older [80 (10) years], more frequently women (55.5%), and had a higher prevalence of hypertension (83.5%) and a lower prevalence of ischaemic cardiomyopathy (29.4%). De novo AHF was observed in 39.6%. 63.6% showed some degree of functional dependence and 56.1% had preserved left ventricular ejection fraction (LVEF). 56.8% of the patients arrived at the ED by ambulance, 4.5% arrived hypotensive, and 21.3% hypertensive. Direct discharge from the ED home was seen in 24.9%, and internal medicine (32.5%) and cardiology (15.8%) were the main hospital destinations. Triggers for decompensation were identified in 75.4%, the most being frequent infection (35.2%) and rapid atrial fibrillation (14.7%). The AHF phenotypes were: warm/wet 82.0%, warm/dry 6.2%, cold/wet 11.1%, and cold/dry 0.7%. The length of hospitalisation was 9.3 (8.6) days, and in-hospital, 30-day, and 1-year all-cause mortality were 7.8, 10.2 and 30.3%, respectively; and 30-day re-hospitalisation and ED revisit due to AHF were 16.9 and 24.8%, respectively. Thirty-nine of the eighty characteristics studied showed significant changes over time, while all outcomes remained unchanged along the 10-year period.

CONCLUSIONS

The EAHFE Registry is the first European ED-based registry describing the characteristics, clinical course, and outcomes of a cohort resembling the universe of patients with AHF. Significant changes were observed over time in some aspects of AHF characteristics and management, but not in outcomes.

Comprehensive in-hospital monitoring in acute heart failure: applications for clinical practice and future directions for research. A statement from the Acute Heart Failure Committee of the Heart Failure Association (HFA) of the European Society of Cardiology (ESC)

This paper provides a practical clinical application of guideline recommendations relating to the inpatient monitoring of patients with acute heart failure, through the evaluation of various clinical, biomarker, imaging, invasive and non-invasive approaches. Comprehensive inpatient monitoring is crucial to the optimal management of acute heart failure patients. The European Society of Cardiology heart failure guidelines provide recommendations for the inpatient monitoring of acute heart failure, but the level of evidence underpinning most recommendations is limited. Many tools are available for the in-hospital monitoring of patients with acute heart failure, and each plays a role at various points throughout the patient's treatment course, including the emergency department, intensive care or coronary care unit, and the general ward. Clinical judgment is the preeminent factor guiding application of inpatient monitoring tools, as the various techniques have different patient population targets. When applied appropriately, these techniques enable decision making. However, there is limited evidence demonstrating that implementation of these tools improves patient outcome. Research priorities are identified to address these gaps in evidence. Future research initiatives should aim to identify the optimal in-hospital monitoring strategies that decrease morbidity and prolong survival in patients with acute heart failure.