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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.

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.

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.

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 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.

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.

The mucopolysaccharidoses (MPSs) are underdiagnosed but they are evaluated in few newborn screening programs, probably due to the many challenges remaining, such as the identification of late-onset phenotypes. Systematic screening at the onset of clinical symptoms could help to early identify patients who may benefit from specific treatments. The aim of this prospective study was to assess a novel selective screening program, the FIND project, targeting patients aged 0 to 16 years with clinical manifestations of MPS. The project was designed to increase awareness of these diseases among pediatricians and allow early diagnosis.From July 2014 to June 2016, glycosaminoglycan (GAG) levels normalized to creatinine levels were determined in urine-impregnated analytical paper submitted by pediatricians who had patients with clinical signs and/or symptoms compatible with MPS. When high GAG concentrations were detected, a new liquid urine sample was requested to confirm and identify the GAG present. When a specific form of MPS was suspected, enzyme activity was analyzed using blood-impregnated paper to determine MPS type (I, IIIB, IIIC, IVA, IVB, VI, or VII). Age-specific reference values for GAG were previously established using 145 urine samples from healthy children.GAG levels were normal in 147 (81.7%) of the 180 initial samples received. A liquid sample was requested for the other 33 cases (18.3%); GAG levels were normal in 13 of these and slightly elevated in 12, although the electrophoresis study showed no evidence of MPS. Elevated levels with corresponding low enzymatic activity were confirmed in 8 cases. The mean time from onset of clinical symptoms to detection of MPS was 22 months, and just 2 cases were detected at the beginning of the project were detected with 35 and 71 months of evolution of clinical symptoms. Our screening strategy for MPS had a sensitivity of 100%, a specificity of 85%, and a positive predictive value of 24%.The FIND project is a useful and cost-effective screening method for increasing awareness of MPS among pediatricians and enabling the detection of MPS at onset of clinical symptoms.