IMPROV-ED study: outcomes after discharge for an episode of acute-decompensated heart failure and comparison between patients discharged from the emergency department and hospital wards

Impact of worsening renal function detected at emergency department arrival on acute heart failure short-term outcomes

BACKGROUND AND IMPORTANCE

Deterioration of renal function with respect to baseline during an acute heart failure (AHF) episode is frequent, but impact on outcomes is still a matter of debate.

OBJECTIVE

To investigate the association of creatinine deterioration detected at emergency department (ED) arrival and short-term outcomes in patients with AHF.

DESIGN

Secondary analysis of a large multipurpose registry.

SETTINGS AND PARTICIPANTS

Patients with AHF were diagnosed in 10 Spanish ED for whom a previous baseline creatinine was available.

EXPOSURE

Difference between creatinine at ED arrival and at baseline was calculated (∂-creatinine).

OUTCOME MEASURES AND ANALYSIS

Primary outcome was 30-day all-cause death, and secondary outcomes were inhospital all-cause death, prolonged hospitalization (>7 days) and 7-day postdischarge adverse events. Associations between ∂-creatinine and outcomes were explored using logistic regression by restricted cubic spline (RCS) curves and expressed as odds ratio (OR) with 95% confidence interval (CI), taking ∂-creatinine = 0 mg/dl as reference. Curves were adjusted by age, sex, comorbidities, patient baseline status, chronic treatments, and vitals and laboratory results at ED arrival. Interactions for the primary outcome also were investigated.

MAIN RESULTS

We analyzed 3036 patients (median age = 82 years; IQR = 75-87; women = 55%), with ∂-creatinine ranged from -0.3 to 3 mg/dl. The 30-day mortality was 11.6%. Increments of ∂-creatinine were associated with progressive increase in risk of 30-day death, although adjustment attenuated this association: ∂-creatinine of 0.3/1/2/3 mg/dl were, respectively, associated with adjusted OR of 1.41 (1.02-1.95), 1.69 (1.02-2.80), 1.46 (0.56-3.80) and 1.27 (0.27-5.83). Distinctively significant higher risk was found for patients over 80 years old, female, nondiabetic, functionally disabled and on digoxin therapy. With respect to secondary outcomes, inhospital mortality was 8.1%, prolonged hospitalization was 33.6% and 7-day postdischarge adverse event was 9.7%. Inhospital death steadily increased with increments in ∂-creatinine [from 1.50 (1.04-2.17) with ∂-creatinine = 0.3 to 3.78 (0.78-18.3) with ∂-creatinine = 3], as well as prolonged hospitalization did [from 1.41 (1.11-1.77) to 2.24 (1.51-3.33), respectively]. Postdischarge adverse events were not associated with ∂-creatinine.

CONCLUSION

WRF detected at ED arrival has prognostic value in AHF, being associated with increased risk of death and prolonged hospitalization. These associations showed different patterns of risk but, remarkably, risk started with increments as low as 0.3 mg/dl.

Incidence of Timely Outpatient Follow-Up Care After Emergency Department Encounters for Acute Heart Failure

BACKGROUND

Patients who are discharged from the emergency department (ED) after an encounter for acute heart failure are at high risk for return hospitalization. These patients may benefit from timely outpatient follow-up care to reassess volume status, adjust medications, and reinforce self-care strategies. This study examines the incidence of outpatient follow-up care after ED encounters for acute heart failure and describes patient characteristics associated with obtaining timely follow-up care.

METHODS

We conducted a retrospective cohort study using an administrative claims database for a large US commercial insurer, from January 1, 2012 to June 30, 2019. Participants included adult patients discharged from the ED with principal diagnosis of acute heart failure. The primary outcome was obtaining an in-person outpatient clinic visit for heart failure within 30 days. We also examined the competing risk of all-cause hospitalization within 30 days and without an intervening outpatient clinic visit. We estimated competing risk regression models to identify patient characteristics associated with obtaining outpatient follow-up and report cause-specific hazard ratios.

RESULTS

The cohort included 52 732 patients, with mean age of 73.9 years (95% CI, 73.8-74.0) and 27 395 (52.0% [95% CI, 51.5-52.4]) female patients. Within 30 days of the ED encounter, 12 279 (23.2%) patients attended an outpatient clinic visit for heart failure, with 8382 (15.9%) patients hospitalized before they could obtain an outpatient clinic visit. In the adjusted analysis, patients that were younger, women, reporting non-Hispanic Black race, and had fewer previous clinic visits were less likely to obtain outpatient follow-up care.

CONCLUSIONS

Few patients obtain timely outpatient follow-up after ED visits for heart failure, although nearly 20% require hospitalization within 30 days. Improved transitions following discharge from the ED may represent an opportunity to improve outcomes for patients with acute heart failure.

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.

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.

Recurrent infective endocarditis versus first-time infective endocarditis after heart valve surgery

OBJECTIVE

Infective endocarditis (IE) may require heart valve surgery. It is well known that heart valve surgery itself and previous IE predispose to IE. However, data are sparse on whether the risk of IE is different among patients undergoing valve surgery due to IE and other causes (i.e. recurrent vs. first-time IE).

METHODS

Using Danish nationwide registries, patients undergoing left-sided heart valve surgery in the course of an IE hospitalization (1996-2017) were identified and matched with controls undergoing left-sided heart valve surgery due to another cause than IE in a 1:1 ratio. Patients were stratified according to type of surgical valve intervention and affected valve. The comparative risk of recurrent vs. first-time IE was assessed by cumulative incidence curves and multivariable Cox regression analyses.

RESULTS

The study population comprised 971 patients with a first-time admission for IE requiring heart valve surgery matched with 971 controls undergoing heart valve surgery due to other causes than IE. The risk of recurrent IE was significantly higher than the risk of first-time IE following heart valve surgery (5.5% and 3.0% by 10 years, hazard ratio (HR) 1.66, 95% confidence interval (CI) 1.02-2.70). The risk of IE recurrence was not significantly different comparing valve replacement and valve repair (5.5% and 5.3%, respectively, HR 1.60, 95% CI 0.71-3.60). Yet, the risk of IE recurrence was significantly higher among patients with biological versus mechanical prostheses (6.3% and 4.6%, respectively, HR 2.00, 95% CI 1.02-3.70).

CONCLUSIONS

Following heart valve surgery, the risk of recurrent IE was significantly higher than the risk of first-time IE.

Sacubitril-valsartan versus enalapril for acute decompensated heart failure: a cost-effectiveness analysis

Background

The Comparison of Sacubitril–Valsartan versus Enalapril on Effect on NT-proBNP in Patients Stabilised from an Acute Heart Failure Episode (PIONEER-HF) trial demonstrated significant reductions in N-terminal pro-B-type natriuretic peptide. Our study explored the cost-effectiveness of the use of sacubitril-valsartan versus enalapril in acute decompensated heart failure from the Australian healthcare perspective.

Methods

A Markov model was designed using data from the PIONEER-HF trial to model the clinical progress and costs of patients over a lifetime time horizon. The model consisted of three health states: ‘alive and event-free’, ‘alive after non-fatal hospitalisation for acute decompensated heart failure’ or ‘dead’. Costs and utilities were estimated from published sources. The cost of sacubitril-valsartan (per the Australian pharmaceutical benefits schedule) was AU$7.08/day. Outcomes of interest were the incremental cost-effectiveness ratios in terms of cost per quality-adjusted life year gained and cost per year of life saved. Cost and benefits were discounted at 5.0% per annum.

Results

Compared to enalapril, sacubitril-valsartan was estimated to cost an additional AU$7464 (discounted) per person, but lead to 0.127 years of life saved (discounted) and 0.096 quality-adjusted life years gained (discounted) over a lifetime analysis. These equated to incremental cost-effectiveness ratios of AU$58,629/year of life saved (US$41,795, EU€58,629, GBP£32,001) and AU$77,889/quality-adjusted life year gained (US$55,526, EU€49,202, GBP£42,504). We have assumed a threshold of AU$50,000/quality-adjusted life year gained to suggest cost-effectiveness.

Conclusions

At its current acquisition price, sacubitril-valsartan in comparison to enalapril is not likely to be cost-effective in the management of acute decompensated heart failure in Australia. A price reduction of more than 25% would confer cost-effectiveness.

Time-pattern of adverse outcomes after an infection-triggered acute heart failure decompensation and the influence of early antibiotic administration and hospitalisation: results of the PAPRICA-3 study

OBJECTIVE

To investigate whether patients with an acute heart failure (AHF) episode triggered by infection present different outcomes compared to patients with no trigger and the effects of early antibiotic administration (EAA) and hospitalisation.

METHODS

Two groups were made according to the AHF trigger: infection (G1) or none identified (G2). The primary outcome was 13-week (91-days) all-cause mortality, and secondary outcomes were 13-week post-discharge mortality, readmission or combined endpoint. Comparisons are presented as unadjusted and adjusted (MEESSI risk score) hazard ratios (uHR/aHR) for G1 compared to G2 patients, also estimated by weeks. Stratified analysis by EAA (provided/not provided) and patient disposition (discharged/hospitalised) was performed.

RESULTS

We included 6727 patients (G1 = 3973; G2 = 2754). The 13-week mortality uHR was 1.11 (0.99-1.25; p = 0.06; with significant increases in the first 3 weeks), and the aHR was 0.91 (0.81-1.02; p = 0.11). There were no differences in unadjusted secondary post-discharge outcomes; however, G1 outcomes significantly improved after adjustment: aHR 0.83 (0.71-0.96; p = 0.01) for mortality, 0.92 (0.84-0.99; p = 0.04) for readmission, and 0.92 (0.85-0.99; p = 0.04) for the combined endpoint. We found a differentiated effect of hospitalisation (p < 0.05 for interaction; better post-discharge readmission and combined outcomes in G1), and a trend (p = 0.06) to lower mortality in G1 patients with EAA. Additionally, there were some differences between groups in baseline and acute episode characteristics.

CONCLUSION

AHF triggered by infection is not associated with a higher mid-term mortality and has better post-discharge outcomes; however, the first 3 weeks are an extremely vulnerable period. Since hospitalisation could have a role in limiting adverse post-discharge events, and EAA in reducing mortality, these relationships should be prospectively explored in further studies.

Mode of presentation and mortality amongst patients hospitalized with heart failure? A report from the First Euro Heart Failure Survey

BACKGROUND

Heart failure is heterogeneous in aetiology, pathophysiology, and presentation. Despite this diversity, clinical trials of patients hospitalized for HF deal with this problem as a single entity, which may be one reason for repeated failures.

METHODS

The first EuroHeart Failure Survey screened consecutive deaths and discharges of patients with suspected heart failure during 2000-2001. Patients were sorted into seven mutually exclusive hierarchical presentations: (1) with cardiac arrest/ventricular arrhythmia; (2) with acute coronary syndrome; (3) with rapid atrial fibrillation; (4) with acute breathlessness; (5) with other symptoms/signs such as peripheral oedema; (6) with stable symptoms; and (7) others in whom the contribution of HF to admission was not clear.

RESULTS

The 10,701 patients enrolled were classified into the above seven presentations as follows: 260 (2%), 560 (5%), 799 (8%), 2479 (24%), 1040 (10%), 703 (7%), and 4691 (45%) for which index-admission mortality was 26%, 20%, 10%, 8%, 6%, 6%, and 4%, respectively. Compared to those in group 7, the hazard ratios for death during the index admission were 4.9 (p ≤ 0.001), 4.0 (p < 0.001), 2.2 (p < 0.001), 2.1 (p < 0.001), 1.4 (p < 0.04) and 1.4 (p = 0.04), respectively. These differences were no longer statistically significant by 12 weeks.

CONCLUSION

There is great diversity in the presentation of heart failure that is associated with very different short-term outcomes. Only a minority of hospitalizations associated with suspected heart failure are associated with acute breathlessness. This should be taken into account in the design of future clinical trials.

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.

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.

Effects of the intensity of prehospital treatment on short-term outcomes in patients with acute heart failure: the SEMICA-2 study

OBJECTIVE

Little is known about treatments provided by advanced life support (ALS) ambulance teams to patients with acute heart failure (AHF) during the prehospital phase, and their influence on short-term outcome. We evaluated the effect of prehospital care in consecutive patients diagnosed with AHF in Spanish emergency departments (EDs).

METHODS

We selected patients from the EAHFE registry arriving at the ED by ALS ambulances with available follow-up data. We recorded specific prehospital ALS treatments (supplemental oxygen, diuretics, nitroglycerin, non-invasive ventilation) and patients were grouped according to whether they received low- (LIPHT; 0/1 treatments) or high-intensity prehospital therapy (HIPHT; > 1 treatment) for AHF. We also recorded 46 covariates. The primary endpoint was all-cause 7-day mortality, and secondary endpoints were prolonged hospitalisation (> 10 days) and in-hospital and 30-day mortality. Unadjusted and adjusted odds ratios were calculated to compare the groups.

RESULTS

We included 1493 patients [mean age 80.7 (10) years; women 54.8%]. Prehospital treatment included supplemental oxygen in 71.2%, diuretics in 27.9%, nitroglycerin in 13.5%, and non-invasive ventilation in 5.3%. The LIPHT group included 1041 patients (70.0%) with an unadjusted OR for 7-day mortality of 1.770 (95% CI 1.115-2.811; p = 0.016), and 1.939 (95% CI 1.114-3.287, p = 0.014) after adjustment for 16 discordant covariables. The adjusted ORs for all secondary endpoints were always > 1 in the LIPHT group, but none reached statistical significance.

CONCLUSIONS

Patients finally diagnosed with AHF at then ED that have received LIPHT by the ALS ambulance teams have a poorer short-term outcome, especially during the first 7 days.