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Objective To compare the clinical characteristics and outcomes of patients with acute heart failure (AHF) according to clinical profiles based on congestion and perfusion determined in the emergency department (ED). Methods and results Overall, 11 261 unselected AHF patients from 41 Spanish EDs were classified according to perfusion (normoperfusion = warm; hypoperfusion = cold) and congestion (not = dry; yes = wet). Baseline and decompensation characteristics were recorded as were the main wards to which patients were admitted. The primary outcome was 1-year all-cause mortality; secondary outcomes were need for hospitalisation during the index AHF event, in-hospital all-cause mortality, prolonged hospitalisation, 7-day post-discharge ED revisit for AHF and 30-day post-discharge rehospitalisation for AHF. A total of 8558 patients (76.0%) were warm+ wet, 1929 (17.1%) cold+ wet, 675 (6.0%) warm+ dry, and 99 (0.9%) cold+ dry; hypoperfused (cold) patients were more frequently admitted to intensive care units and geriatrics departments, and warm+ wet patients were discharged home without admission. The four phenotypes differed in most of the baseline and decompensation characteristics. The 1-year mortality was 30.8%, and compared to warm+ dry, the adjusted hazard ratios were significantly increased for cold+ wet (1.660; 95% confidence interval 1.400-1.968) and cold+ dry (1.672; 95% confidence interval 1.189-2.351). Hypoperfused (cold) phenotypes also showed higher rates of index episode hospitalisation and in-hospital mortality, while congestive (wet) phenotypes had a higher risk of prolonged hospitalisation but decreased risk of rehospitalisation. No differences were observed among phenotypes in ED revisit risk. Conclusions Bedside clinical evaluation of congestion and perfusion of AHF patients upon ED arrival and classification according to phenotypic profiles proposed by the latest European Society of Cardiology guidelines provide useful complementary information and help to rapidly predict patient outcomes shortly after ED patient arrival.

Objective: To assess the effects of non-invasive ventilation (NIV) in emergency department (ED) patients with acute heart failure (AHF) on short term outcomes. Methods: Patients from the EAHFE Registry (a multicenter, observational, multipurpose, cohort-designed database including consecutive AHF patients in 41 Spanish EDs) were grouped based on NIV treatment (NIV+ and NIV–groups). Using propensity score (PS) methodology, we identified two subgroups of patients matched by 38 covariates and compared regarding 30-day survival (primary outcome). Interaction was investigated for age, sex, ischemic cardiomyopathy, chronic obstructive pulmonary disease, AHF precipitated by an acute coronary syndrome (ACS), AHF classified as hypertensive or acute pulmonary edema (APE), and systolic blood pressure (SBP). Secondary outcomes were intensive care unit (ICU) admission; mechanical ventilation; in-hospital, 3-day and 7-day mortality; and prolonged hospitalization (>7 days). Results: Of 11, 152 patients from the EAHFE (age (SD): 80 (10) years; 55.5% women), 718 (6.4%) were NIV+ and had a higher 30-day mortality (HR = 2.229; 95%CI = 1.861–2.670) (p < 0.001). PS matching provided 2 groups of 490 patients each with no significant differences in 30-day mortality (HR = 1.239; 95%CI = 0.905–1.696) (p = 0.182). Interaction analysis suggested a worse effect of NIV on elderly patients (>85 years, p < 0.001), AHF associated with ACS (p = 0.045), and SBP < 100 mmHg (p < 0.001). No significant differences were found in the secondary endpoints except for more prolonged hospitalizations in NIV+ patients (OR = 1.445; 95%CI = 1.122–1.862) (p = 0.004). Conclusion: The use of NIV to treat AHF in ED is not associated with improved mortality outcomes and should be cautious in old patients and those with ACS and hypotension.

Objective: To investigate the relationship between length of hospitalisation (LOH) and post-discharge outcomes in acute heart failure (AHF) patients and to ascertain whether there are different patterns according to department of initial hospitalisation. Methods: Consecutive AHF patients hospitalised in 41 Spanish centres were grouped based on the LOH (< 6/6-10/11-15/ > 15 days). Outcomes were defined as 90-day post-discharge all-cause mortality, AHF readmissions, and the combination of both. Hazard ratios (HRs), adjusted by chronic conditions and severity of decompensation, were calculated for groups with LOH > 6 days vs. LOH < 6 days (reference), and stratified by hospitalisation in cardiology, internal medicine, geriatrics, or short-stay units. Results: We included 8563 patients (mean age: 80 (SD = 10) years, 55.5% women), with a median LOH of 7 days (IQR 4-11): 2934 (34.3%) had a LOH < 6 days, 3184 (37.2%) 6-10 days, 1287 (15.0%) 11-15 days, and 1158 (13.5%) > 15 days. The 90-day post-discharge mortality was 11.4%, readmission 32.2%, and combined end-point 37.4%. Mortality was increased by 36.5% (95%CI = 13.0-64.9) when LOH was 11-15 days, and by 72.0% (95%CI = 42.6-107.5) when > 15 days. Conversely, no differences were found in readmission risk, and the combined end-point only increased 21.6% (95%CI = 8.4-36.4) for LOH > 15 days. Stratified analysis by hospitalisation departments rendered similar post-discharge outcomes, with all exhibiting increased mortality for LOH > 15 days and no significant increments in readmission risk. Conclusions: Short hospitalisations are not associated with worse outcomes. While post-discharge readmissions are not affected by LOH, mortality risk increases as the LOH lengthens. These findings were similar across hospitalisation departments.

Study objective: The Multiple Estimation of Risk Based on the Emergency Department Spanish Score in Patients With Acute Heart Failure (MEESSI-AHF) is a validated clinical decision tool that characterizes risk of mortality in emergency department (ED) acute heart failure patients. The objective of this study is to compare the distribution of risk categories between hospitalized and discharged ED patients with acute heart failure. Methods: We included consecutive acute heart failure patients from 34 Spanish EDs. Patients were retrospectively classified according to MEESSI-AHF risk categories. We calculated the odds of hospitalization (versus direct discharge from the ED) across MEESSI-AHF risk categories. Next, we assessed the following 30-day postdischarge outcomes: ED revisit, hospitalization, death, and their combination. We used Cox hazards models to determine the adjusted association between ED disposition decision and the outcomes among patients who were stratified into low-and increased-risk categories. Results: We included 7,930 patients (80.5 years [SD 10.1 years]; women 54.7%; hospitalized 75.3%). Compared with that for low-risk MEESSI-AHF patients, odds ratios for hospitalization of patients in intermediate-, high-, and very-high-risk categories were 1.83 (95% confidence interval [CI] 1.64 to 2.05), 3.05 (95% CI 2.48 to 3.76), and 3.98 (95% CI 3.13 to 5.05), respectively. However, almost half (47.6%) of all discharged patients were categorized as being at increased risk by MEESSI-AHF, and 19.0% of all the increased-risk patients were discharged from the ED. Among the low-risk MEESSI-AHF patients, the 30-day postdischarge mortality did not differ by ED disposition (hazard ratio [HR] for discharged patients with respect to hospitalized ones 0.65; 95% CI 0.70 to 1.11), nor did it differ in the increased-risk group (HR 0.88; 95% CI 0.63 to 1.23). The discharged low-risk MEESSI-AHF patients had higher risks of 30-day ED revisit and hospitalization (HR 1.86, 95% CI 1.57 to 2.20; and HR 1.92, 95% CI 1.54 to 2.40, respectively) compared with the admitted patients, as did the discharged patients in the increased-risk group (HR 1.62, 95% CI 1.39 to 1.89; and HR 1.40, 95% CI 1.16 to 1.68, respectively), with similar results for the combined endpoint. Conclusion: The disposition decisions made in current clinical practice for ED acute heart failure patients calibrate with MEESSI-AHF risk categories, but nearly half of the patients currently discharged from the ED fall into increased-risk MEESSI-AHF categories.

Objective. To determine whether chest radiographs can contribute to prognosis in patients with acute heart failure (AHF). Methods. Consecutive patients with AHF were enrolled by the participating emergency departments. Radiographic variables assessed were the presence or absence of evidence of cardiomegaly and pleural effusion and the pulmonary parenchymal pattern observed (vascular redistribution, interstitial edema, and/or alveolar edema). We gathered variables for the AHF episode and the patient's baseline state. Outcomes were in-hospital and 1-year mortality; hospital stay longer than 7 days, and a composite of events within 30 days of discharge (revisit, rehospitalization, and/or death). Crude and adjusted hazard ratios were calculated for the 3 categories of radiographic variables. The variables were also studied in combination. Results. A total of 2703 patients with a mean (SD) age of 81 (19) years were enrolled; 54.5% were women. Cardiomegaly was observed in 1711 cases (76.8%) and pleural effusion in 992 (36.7%). A pulmonary parenchymal pattern was observed in all cases, as follows: vascular redistribution in 1672 (61.9%), interstitial edema in 629 (23.3%) and alveolar edema in 402 (14.9%). The adjusted hazard ratios showed that cardiomegaly lacked prognostic value. However, the presence of pleural effusion was associated with a 23% (95% CI, 2%-49%) higher rate of the 30day composite outcome; in-hospital mortality was 89% (30%-177%) higher in the presence of alveolar edema, and 1-year mortality was 38% (14%-67%) higher in association with vascular redistribution. The results for the variables in combination were consistent with the results for individual variables. Conclusions. A diagnostic chest radiograph can also contribute to the prediction of adverse events. Pleural effusion is associated with a higher rate of events after discharge, and alveolar edema is associated with higher mortality.

Study objective: We assess the value of the Barthel Index (BI) in predicting 30-day mortality risk among patients with acute heart failure who are attending the emergency department (ED). Methods: We selected 9,098 acute heart failure patients from the Acute Heart Failure in Emergency Departments registry who had BI score available both at baseline and the ED visit. Patients' data were collected from 41 Spanish hospitals during four 1- to 2-month periods between 2009 and 2016. Unadjusted and adjusted logistic regression models were used to assess the association between 30-day mortality and BI score. c Statistics were used to estimate their prognostic value. Results: The mean baseline BI score was 79.4 (SD 24.6) and the mean ED BI score was 65.3 (SD 29.1). Acute functional decline (>= 5-point decrease between baseline BI and ED BI score) was observed in 5,771 patients (53.4%). Within 30 days of the ED visit, 905 patients (9.9%) died. There was a steep inverse gradient in 30-day mortality risk for baseline BI and ED BI score. For instance, compared with BI score=100, a BI score of 50 to 55 doubled the mortality risk both at baseline and the ED visit. At the ED visit, a BI score of 0 to 5 carried a 5-fold increase in risk after adjustment for other risk predictors. In comparison with baseline BI score, ED BI score consistently provided greater discrimination. Neither baseline BI score nor the change in BI score from baseline to the ED visit added further prognostic value to the ED BI score. Conclusion: Functional status assessed by the BI score at the ED visit is a strong predictor of 30-day mortality in acute heart failure patients, with higher predictive value than baseline BI score and acute functional decline. Routine recording of BI score at the ED visit may help in decisionmaking and health care planning.

Objective. To determine the rate of adverse events in patients with acute heart failure (AHF) who were discharged from the emergency department (ED) after classification as low risk according to MEESSI score (multiple risk estimate based on the Spanish ED scale), to analyze the ability of the score to predict events, and to explore variables associated with adverse events. Methods. Patients in the EAHFE registry (Epidemiology of Acute Heart Failure in EDs) were stratified according to risk indicated by MEESSI score in order to identify those considered at low risk on discharge. All-cause 30-day mortality and revisits related to AHF within 7 days and 30 days were recorded. The area under the receiver operating characteristic curve (AUC) was calculated for the MEESSI score's ability to predict these events. Associations between 42 variables and 7-day and 30-day revisits to the ED were analyzed by multivariable logistic regression. Results. A total of 1028 patients were included. The 30-day mortality rate was 1.6% (95% CI, 0.9%-2.5%). The 7-day and 30-day revisit rates were 8.0% (95% CI, 6.4%-9.8%) and 24.7% (95% CI, 22.1%-25.7%), respectively. The AUCs for MEESSI score discrimination between patients with and without these outcomes were as follows: 30-day mortality, 0.69 (95% CI, 0.58-0.80); 7-day revisiting, 0.56 (95% CI, 0.49-0.63); and 30-day revisiting, 0.54 (95% CI, 0.50-0.59). Variables associated with 7-day revisits were long-term diuretic treatment (odds ratio [OR], 2.45; 95% CI, 1.01-5.98), hemoglobin concentration less than 110 g/L (OR, 1.68; 95% CI, 1.02-2.75), and intravenous diuretic treatment in the ED (OR, 0.53; 95% CI, 0.31-0.90). Variables associated with 30-day revisits were peripheral artery disease (OR, 1.74; 95% CI, 1.01-3.00), prior history of an AHF episode (OR, 1.42; 95% CI, 1.02-1.98), long-term mineralocorticoid receptor antagonist treatment (OR, 1.71; 95% CI, 1.09-2.67), Barthel index less than 90 points in the ED (OR, 1.48; 95% CI, 1.07-2.06), and intravenous diuretic treatment in the ED (OR, 0.58; 95% CI, 0.40-0.84). Conclusions. Patients with AHF who are at low risk for adverse events on discharge from our EDs have event rates that are near internationally recommended targets. The MEESSI score, which was designed to predict 30-day mortality, is a poor predictor of 7-day or 30-day revisiting in these low-risk patients. We identified other factors related to these events.

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.

Objective: To study the outcomes of patients with acute heart failure (AHF) presenting renal dysfunction (RD) or hyperkalaemia (Hk) alone or in combination. Method: We analysed the data of the EAHFE registry, a multicentre, non interventionist cohort with prospective follow-up of patients with AHF. Four groups were defined based on the presence or not of RD or Hk alone or in combination. The primary endpoint was 30-day all-cause mortality. Results: A total of 11,935 of the 13,791 patients included in the EAHFE registry were analysed. Of these, 5088 (42.6%) did not have RD or Hk (NoRD-NoHk), 150 (1.3%) had no RD but had Hk (NoRD-Hk), 6012 (50.4%) had RD but not Hk (RD-NoHk) and 685 (5.7%) had both RD and Hk (RD-Hk). Thirty-day all-cause mortality was greatest in the RD-Hk group with an adjusted Hazard Ratio (HR) of 2.44 (confidence interval 95% [C195%] 1.67-3.55; p < 0.001) and in the RD-NoHk group with an adjusted HR of 1.34 (CI95% 1.04-1.71; p = 0.022). There were no significant differences in in-hospital mortality and reconsultation at 30 days for HF. For the combined endpoint of 30-day all-cause mortality the adjusted HR was 1.33 (CI95% 1.04-1.70); (p = 0.021) for the RD-Hk group. Conclusions: The association of 30-day all-cause mortality with the presence of RD and Hk in patients presenting AHF at admission is greater than in those without this combination.

Objective To compare the clinical characteristics and outcomes of patients with acute heart failure (AHF) according to clinical profiles based on congestion and perfusion determined in the emergency department (ED). Methods and results Overall, 11 261 unselected AHF patients from 41 Spanish EDs were classified according to perfusion (normoperfusion = warm; hypoperfusion = cold) and congestion (not = dry; yes = wet). Baseline and decompensation characteristics were recorded as were the main wards to which patients were admitted. The primary outcome was 1-year all-cause mortality; secondary outcomes were need for hospitalisation during the index AHF event, in-hospital all-cause mortality, prolonged hospitalisation, 7-day post-discharge ED revisit for AHF and 30-day post-discharge rehospitalisation for AHF. A total of 8558 patients (76.0%) were warm+ wet, 1929 (17.1%) cold+ wet, 675 (6.0%) warm+ dry, and 99 (0.9%) cold+ dry; hypoperfused (cold) patients were more frequently admitted to intensive care units and geriatrics departments, and warm+ wet patients were discharged home without admission. The four phenotypes differed in most of the baseline and decompensation characteristics. The 1-year mortality was 30.8%, and compared to warm+ dry, the adjusted hazard ratios were significantly increased for cold+ wet (1.660; 95% confidence interval 1.400-1.968) and cold+ dry (1.672; 95% confidence interval 1.189-2.351). Hypoperfused (cold) phenotypes also showed higher rates of index episode hospitalisation and in-hospital mortality, while congestive (wet) phenotypes had a higher risk of prolonged hospitalisation but decreased risk of rehospitalisation. No differences were observed among phenotypes in ED revisit risk. Conclusions Bedside clinical evaluation of congestion and perfusion of AHF patients upon ED arrival and classification according to phenotypic profiles proposed by the latest European Society of Cardiology guidelines provide useful complementary information and help to rapidly predict patient outcomes shortly after ED patient arrival.

Objectives. To describe the pattern of care usually given to patients with acute heart failure (AHF) who are taking sacubitril/valsartan (SV) and to explore the effects of care characteristics on clinical outcomes. Methods. Exploratory study of AHF cases in patients taking SV who were included in the register for the Epidemiology of Acute Heart Failure in Emergency Departments during the sixth period of data collection (EAHFE-6). We extracted baseline and episode variables and information related to SV treatment. We also analyzed associations between the discontinuation of SV therapy and adverse events within 180 days (all-cause mortality) and after discharge (emergency revisits, admission for AHF, death from any cause, or a composite event). Results. Fifty patients on SV were included. The median time on SV therapy was 81 days (interquartile range, 43-284 days). SV was discontinued in 19 cases (38%; 5 in the emergency department and 14 on the ward). Sixteen records specified the reason for discontinuing SV: renal insufficiency, 4 cases; arterial hypotension, 3; weakness/dizziness, 3; and exacerbated AHF, 3. SV discontinuation was associated with older age, absence of treatment with a betablocker, and hyperkalemia. The EAHFE-6 cases did not reveal significant differences related to SV discontinuation with respect to the rates of adverse events within 180 days or on discharge after the index event. Conclusions. Long-term SV therapy is discontinued in over a third of patients who present with exacerbated AHF even though no association with clinical outcomes could be identified.

Background: The aim of this study was to describe the prevalence and prognostic value of the most common triggering factors in acute heart failure. Methods: Patients with acute heart failure from 41 Spanish emergency departments were recruited consecutively in three time periods between 2011 and 2016. Precipitating factors were classified as: (a) unrecognized; (b) infection; (c) atrial fibrillation; (d) anaemia; (e) hypertension; (f) acute coronary syndrome; (g) non-adherence; and (h) two or more precipitant factors. Unadjusted and adjusted logistic regression models were used to assess the association between 30-day mortality and each precipitant factor. The risk of dying was further evaluated by week intervals over the 30-day follow-up to assess the period of higher vulnerability for each precipitant factor. Results: Approximately 69% of our 9999 patients presented with a triggering factor and 1002 died within the first 30 days (10.0%). The most prevalent factors were infection and atrial fibrillation. After adjusting for 11 known predictors, acute coronary syndrome was associated with higher 30-day mortality (odds ratio (OR) 1.87; 95% confidence interval (CI) 1.02-3.42), whereas atrial fibrillation (OR 0.75; 95% CI 0.56-0.94) and hypertension (OR 0.34; 95% CI 0.21-0.55) were significantly associated with better outcomes when compared to patients without precipitant. Patients with infection, anaemia and non-compliance were not at higher risk of dying within 30 days. These findings were consistent across gender and age groups. The 30-day mortality time pattern varied between and within precipitant factors. Conclusions: Precipitant factors in acute heart failure patients are prevalent and have a prognostic value regardless of the patient's gender and age. They can be managed with specific treatments and can sometimes be prevented.