Search

Resumen Objetivo Evaluar la utilidad de la escala de cribado de la fragilidad (Identification of Senior at Risk [ISAR]) para predecir la mortalidad a los 30 dias en los pacientes mayores atendidos por insuficiencia cardiaca aguda (ICA) en los servicios de urgencias hospitalarios (SUH). Diseno Estudio multicentrico observacional de cohorte multiproposito. Ambito Registro OAK-3. Participantes Pacientes ≥ 65 anos atendidos por ICA en 16 SUH espanoles de enero a febrero del 2016. Intervencion Ninguna. Variables La variable de estudio fue la escala ISAR. La variable de resultado fue la mortalidad por cualquier causa a los 30 dias. Resultados Se incluyo a 1.059 pacientes (edad media 85 ± 5,9 anos). Ciento sesenta (15,1%) casos tuvieron 0-1 puntos, 278 (26,3%) 2 puntos, 260 (24,6%) 3 puntos, 209 (19,7%) 4 puntos y 152 (14,3%) 5-6 puntos de la escala ISAR. Noventa y cinco (9,0%) pacientes fallecieron a los 30 dias. La frecuencia de mortalidad se incremento en relacion a la categoria del ISAR (p tendencia lineal Conclusiones La escala ISAR es una herramienta breve y sencilla que deberia ser considerada para el despistaje de la fragilidad en la valoracion inicial de los pacientes mayores con insuficiencia cardiaca aguda de cara a predecir la mortalidad a 30 dias.

Background: Little is known about the prevalence and impact of risk of malnutrition on short-term mortality among seniors presenting with acute heart failure (AHF) in emergency setting. The objective was to determine the impact of risk of malnutrition on 30-day mortality risk among older patients who attended in Emergency Departments (EDs) for AHF. Material and methods: We performed a secondary analysis of the OAK-3 Registry including all consecutive patients >= 65 years attending in 16 Spanish EDs for AHF. Risk of malnutrition was defined by the Mini Nutritional Assessment Short Form (MNA-SF) < 12 points. Unadjusted and adjusted logistic regression models were used to assess the association between risk of malnutrition and 30-day mortality. Results: We included 749 patients (mean age: 85 (SD 6); 55.8% females). Risk of malnutrition was observed in 594 (79.3%) patients. The rate of 30-day mortality was 8.8%. After adjusting for MEESSI-AHF risk score clinical categories (model 1) and after adding all variables showing a significantly different distribution among groups (model 2), the risk of malnutrition was an independent factor associated with 30-day mortality (adjusted OR by model 1 = 3.4; 95% CI 1.2-9.7; p = .020 and adjusted OR by model 2 = 3.1; 95% CI 1.1-9.0; p = .033) compared to normal nutritional status. Conclusions: The risk of malnutrition assessed by the MNA-SF is associated with 30-day mortality in older patients with AHF who were attended in EDs. Routine screening of risk of malnutrition may help emergency physicians in decision-making and establishing a care plan.

Background: Physical examination remains the cornerstone in the assessment of acute heart failure. There is a lack of adequately powered studies assessing the combined impact of both systolic blood pressure (SBP) and hypoperfusion on short-term mortality. Methods: Patients with acute heart failure from 41 Spanish emergency departments were recruited consecutively in 3 time periods between 2011 and 2016. Logistic regression models were used to assess the association of 30-day mortality with SBP ( Results: Among 10 979 patients, 1143 died within the first 30 days (10.2%). There was an inverse association between 30-day mortality and initial SBP (35.4%, 18.9%, 12.4%, and 7.5% for SBPP P P -for-interaction =0.043. Conclusions: Hypoperfusion confers an incremental risk of 30-day all-cause mortality not only in patients with low SBP but also in normotensive patients. On admission, physical examination plays a major role in determining prognosis in patients with acute heart failure.

Background and objective To compare the outcome of patients with acute heart failure (AHF) with a mid-range left ventricular ejection fraction (HFmrEF) with patients with a reduced (HFrEF) or preserved (HFpEF) left ventricular ejection fraction. Patients and method A prospective observational study included patients diagnosed with AHF in 41 emergency departments. Patients were divided into 3 groups: HFrEF Results Three thousand nine hundred and fifty-eight patients were included: 580 HFmrEF (14.6%), 929 HFrEF (23.5%) and 2449 HFpEF (61.9%). Global mortality at one year was 28.5%. The crude mortality of the HFmrEF group was similar to that of the HFpEF group (HR 1.009; 95% CI 0.819–1.243; p = 0.933) and lower than the HFrEF group (HR 0.800; 95% CI 0.635–1.008; p = 0.058), but after adjustment for discordant basal characteristics among groups, the mortality of the HFmrEF group did not differ from that of the HFpEF (HRa 1.025; 95% CI 0.825–1.275; p = 0.821) or HFrEF group (HRa 0.924; 95% CI 0.720–1.186; p = 0.535). Neither were significant differences found between the HFmrEF group and the other 2 groups in the analysis stratified according to admission or discharge direct from the emergency department. Conclusion Mortality at one-year after an AHF episode in patients with HFmrEF does not differ from that of patients with HFpEF or HfrEF, either globally or based on the main destinations after emergency department care.

Objective: To assess the value of frailty screening tool (Identification of Senior at Risk [ISAR]) in predicting 30-day mortality risk in older patients attended in emergency department (ED) for acute heart failure (AHF). Design: Observational multicenter cohort study. Setting: OAK-3 register. Subjects: Patients aged >= 65 years attended with ADHF in 16 Spanish EDs from January to February 2016. Intervention: No. Variables: Variable of study was ISAR scale. The outcome was all-cause 30-day mortality. Results: We included 1059 patients (mean age 85 +/- 5,9 years old). One hundred and sixty (15.1%) cases had 0-1 points, 278 (26.3%) 2 points, 260 (24.6%) 3 points, 209 (19.7%) 4 points, and 152 (14.3%) 5-6 points of ISAR scale. Ninety five (9.0%) patients died within 30 days. The percentage of mortality increased in relation to ISAR category (lineal trend P value < .001). The area under curve of ISAR scale was 0.703 (95%Cl 0.655-0.751; P

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% [CI95%] 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.

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. Sin financiación 5.799 JCR (2019) Q1, 1/31 Emergency Medicine 1.389 SJR (2019) Q1, 3/90 Emergency Medicine No data IDR 2019 UEM

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.

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.

To assess the effects of non-invasive ventilation (NIV) in emergency department (ED) patients with acute heart failure (AHF) on short term outcomes.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).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).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.

Fifteen patients with spontaneous ventricular tachyarrhythmias underwent electrophysiologic studies at baseline and during therapy with quinidine and amiodarone. In 9, ventricular tachycardia (VT) with a similar QRS morphology was induced with quinidine, amiodarone and under the control state. Both quinidine and amiodarone significantly increased QRS duration and the VT cycle length. Amiodarone increased the VT cycle length more than quinidine (85 vs 121 ms, p0.05). Amiodarone increased the percent QRS duration (during sinus rhythm, ventricular pacing and VT) significantly less than percent VT cycle length, whereas quinidine did so only at slow rates (at faster rates the percent increase in QRS duration is not different from the percent increase in VT cycle length). The percent increase in QRS duration produced by quinidine correlated significantly with the percent increase in VT cycle length (the best correlation was observed during pacing, r = 0.78). In contrast, no such significant correlations were obtained for amiodarone. Thus, amiodarone prolongs VT cycle length more than quinidine (at the doses used). The effects of quinidine on conduction in tissue mostly unrelated to tachycardia origin predict effects in the tachycardia cycle length. In contrast, the effects of amiodarone on the latter are more intense but not predicted by those on tissue unrelated to the tachycardia origin.