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.

Effect of risk of malnutrition on 30-day mortality among older patients with acute heart failure in Emergency Departments.

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.

Impacto de las variables geriátricas en la mortalidad a 30 días de los ancianos atendidos por insuficiencia cardiaca aguda / Impact of geriatric assessment variables on 30-day mortality among older patients with acute heart failure

OBJETIVOS: Estudiar el impacto de las variables geriátricas en la mortalidad a 30 días entre los ancianos con insuficiencia cardiaca aguda (ICA). MÉTODO: Análisis retrospectivo del registro Older Acute heart failure Key data (OAK) que incluye prospectivamente a pacientes consecutivos 65 años con ICA en 3 servicios de urgencias españoles durante 4 meses (noviembre-diciembre 2011 y enero-febrero 2014). Se realizó una valoración geriátrica adaptada a urgencias durante los días laborales de 8 am a 10 pm. Se recogieron variables demográficas, clínicas, analíticas y geriátricas (comorbilidad, polifarmacia, fragilidad, situación basal funcional, cognitiva y social, despistaje de síndrome confusional, deterioro cognitivo y depresión, y situación nutricional). La variable de resultado fue la mortalidad por cualquier causa a los 30 días. RESULTADOS: Se incluyeron 565 pacientes con edad media 83 años (DE 7,1), 346 mujeres (61,6%). Sesenta y cinco sujetos (11,5%) fallecieron a los 30 días. La presencia de síndrome confusional agudo (OR ajustada = 2,2; IC95% 1,0-4,8; p = 0,04), de enfermedad aguda (OR ajustada = 1,8; IC95% 0,9-3,4; p = 0,05) o pérdida de apetito (OR ajustada = 1,8; IC95% 1-3,4; p = 0,04) en los últimos 3 meses, y de fragilidad (OR ajustada = 2,0; IC95% 1,0-4,1; p = 0,05) o dependencia funcional grave (OR ajustada = 4,4; IC95% 1,9-11,4; p = 0,01) fueron factores independientes asociados con mortalidad a los 30 días. CONCLUSIONES: Existen ciertas variables geriátricas que debieran contemplarse en la estratificación de riesgo a corto plazo de los pacientes ancianos con ICA

OBJECTIVE: To study the impact of geriatric assessment variables on 30-day mortality among older patients with acute heart failure (AHF). METHODS: Retrospective analysis of cases in the OAK Registry (Older Acute Heart Failure Key Data), a prospectively compiled database of consecutive patients aged 65 years or older treated for AHF in 3 Spanish emergency departments over a 4-month period (November-December 2011 and January-February 2014). The patients underwent a geriatric assessment adapted for emergency department use on weekdays between 8 AM and 10 PM. Demographic, clinical, laboratory, and geriatric assessment variables were recorded. The geriatric variables were concurrent diseases; polypharmacy; frailty; functional, social, and cognitive status at baseline; results of screening for confusional state, cognitive impairment, and depression; and nutritional status. The primary outcome was all-cause mortality at 30 days. RESULTS: We included 565 patients with a mean (SD) age of 83 (7.1) years; 346 (61.6%) were women. Sixty-five (11.5%) died within 30 days. Independent factors associated with 30-day mortality were acute confusional state (adjusted odds ratio [aOR], 2.2; 95% CI, 1.0-4.8; P=.04), acute illness (aOR, 1.8; 95% CI, 0.9-3.4; P=.05), loss of appetite in the past 3 months (aOR, 1.8; 95% CI, 1.0-3.4; P=.04), frailty (aOR, 2.0, 95% CI, 1.0-4.1; P=.05), and severe disability (aOR, 4.4; 95% CI, 1.9-11.4; P=.01). CONCLUSIONS: Certain geriatric variables should be considered when assessing short-term risk in older patients with AHF

Impact of Frailty and Disability on 30-Day Mortality in Older Patients With Acute Heart Failure.

The objectives were to determine the impact of frailty and disability on 30-day mortality and whether the addition of these variables to HFRSS EFFECT risk score (FBI-EFFECT model) improves the short-term mortality predictive capacity of both HFRSS EFFECT and BI-EFFECT models in older patients with acute decompensated heart failure (ADHF) atended in the emergency department. We performed a retrospective analysis of OAK Registry including all consecutive patients ≥65 years old with ADHF attended in 3 Spanish emergency departments over 4 months. FBI-EFFECT model was developed by adjusting probabilities of HFRSS EFFECT risk categories according to the 6 groups (G1: non frail, no or mildly dependent; G2: frail, no or mildly dependent; G3: non frail, moderately dependent; G4: frail, moderately dependent; G5: severely dependent; G6: very severely dependent).We included 596 patients (mean age: 83 [SD7]; 61.2% females). The 30-day mortality was 11.6% with statistically significant differences in the 6 groups (p < 0.001). After adjusting for HFRSS EFFECT risk categories, we observed a progressive increase in hazard ratios from groups G2 to G6 compared with G1 (reference). FBI-EFFECT had a better prognostic accuracy than did HFRSS EFFECT (log-rank p < 0.001; Net Reclassification Improvement [NRI] = 0.355; p < 0.001; Integrated Discrimination Improvement [IDI] = 0.052; p ;< 0.001) and BI-EFFECT (log-rank p = 0.067; NRI = 0.210; p = 0.033; IDI = 0.017; p = 0.026). In conclusion, severe disability and frailty in patients with moderate disability are associated with 30-day mortality in ADHF, providing additional value to HFRSS EFFECT model in predicting short-term prognosis and establishing a care plan.

The Effect of Frailty on 30-day Mortality Risk in Older Patients With Acute Heart Failure Attended in the Emergency Department.

OBJECTIVE: The objective was to determine the effect of frailty on risk of 30-day mortality in nonseverely disabled older patients with acute heart failure (AHF) attended in emergency departments (EDs). METHODOLOGY: The Frailty-AHF Study is a retrospective analysis of a multicenter, observational, prospective, cohort study (Older-AHF Register). This study included consecutive patients ≥ 65 years of age without severe functional dependence or dementia attended for AHF in three Spanish EDs for 4 months. Frailty was defined by frailty phenotype as the presence of three or more domains. Baseline and episode characteristics and 30-day mortality were collected in all the patients. RESULTS: A total of 465 patients with a mean (±SD) age of 82 (±7) years were included, 283 (61.0%) being female and 225 (51.3%) with severe comorbidity (Charlson index ≥ 3). Frailty was present in 169 (36.3%). The rate of 30-day mortality was 7.3%. Frailty adjusted for potential confounding factors was an independent factor associated with 30-day mortality (adjusted hazard ratio = 2.5; 95% confidence interval = 1.0 to 6.0; p = 0.047). CONCLUSION: The presence of frailty is an independent risk factor of 30-day mortality in nonsevere dependent older patients attended with AHF in EDs.

Prognostic value and risk factors of delirium in emergency patients with decompensated heart failure.

OBJECTIVE: Patients with heart failure (HF) seen at the emergency department (ED) are increasingly older and more likely to present delirium. Little is known, however, about the impact of this syndrome on outcome in these patients. We aimed to investigate the prognostic value and risk factors of delirium at admission (prevalent delirium) in ED patients with decompensated HF. METHODS AND RESULTS: We performed a prospective, observational study, analyzing the presence of prevalent delirium in decompensated HF patients attended at the ED in 2 hospitals in Spain in the context of the Epidemiology Acute Heart Failure Emergency project. We used the brief Confusion Assessment Method to assess the presence of delirium. Patients were followed for 1 month after discharge. Of 239 enrolled patients (81.7 ± 9.4 years, women 61.1%, long-term care [LTC] 11%), 35 (14.6%) had prevalent delirium (20% LTC vs 9.4% in-home, P = .078). The factors associated with delirium in the multivariate analysis were functional dependence (P = .001) and dementia (P = .005). Prevalent delirium was an independent risk factor of death within 30 days (OR 3.532; 95% CI 1.422-8.769, P = .007) whereas autonomy in basic activities of daily living was a protective factor (OR 0.971; 95% CI 0.956-0.986, P = .001). The area under the ROC curve for our 30-day mortality model was 0.802 (95% CI 0.721-0.883, P = .001). CONCLUSION: Prevalent delirium in patients with decompensated HF was a predictor of short-term mortality. Routine identification of delirium in patients at risk, particularly those with greater functional dependence, can help emergency physicians in decision-making and enhance care in patients with decompensated HF.