Sociodemographic characteristics, comorbidity, and baseline functional status of older patients treated in emergency departments during the COVID-19 pandemic and associations with mortality: an analysis based on the EDENCOVID cohort. / Sociodemografía, comorbilidad y situación funcional basal de los pacientes mayores atendidos en urgencias durante la pandemia de COVID y su relación con la mortalidad: análisis a partir de la cohorte EDEN-Covid.

OBJECTIVES: To describe the sociodemographic characteristics, comorbidity, and baseline functional status of patients aged 65 or older who came to hospital emergency departments (EDs) during the first wave of the COVID-19 pandemic, and to compare them with the findings for an earlier period to analyze factors of the index episode that were related to mortality. MATERIAL AND METHODS: We studied data from the EDEN-COVID cohort (Emergency Department and Elder Needs During COVID-19) of patients aged 65 years or older treated in 40 Spanish EDs on 7 consecutive days. Nine sociodemographic variables, 18 comorbidities, and 7 function variables were registered and compared with the findings for the EDEN cohort of patients included with the same criteria and treated a year earlier in the same EDs. In-hospital mortality was calculated in the 2 cohorts and a multivariable logistic regression model was used to explore associated factors. RESULTS: The EDEN-COVID cohort included 6806 patients with a median age of 78 years; 49% were women. The pandemic cohort had a higher proportion of men, patients covered by the national health care system, patients brought from residential facilities, and patients who arrived in an ambulance equipped for advanced life support. Pandemic-cohort patients more often had diabetes mellitus, chronic kidney disease, and dementia; they less often had connective tissue and thromboembolic diseases. The Barthel and Charlson indices were worse in this period, and cognitive decline was more common. Fewer patients had a history of depression or falls. Eight hundred ninety these patients (13.1%) died, 122 of them in the ED (1.8%); these percentages were lower in the earlier EDEN cohort, at 3.1% and 0.5%, respectively. Independent sociodemographic factors associated with higher mortality were transport by ambulance, older age, male sex, and living in a residential facility. Mortalityassociated comorbidities were neoplasms, chronic kidney disease, and heart failure. The only function variable associated with mortality was the inability to walk independently. A history of falls in the past 6 months was a protective factor. CONCLUSION: The sociodemographic characteristics, comorbidity, and functional status of patients aged 65 years or older who were treated in hospital EDs during the pandemic differed in many ways from those usually seen in this older-age population. Mortality was higher than in the prepandemic period. Certain sociodemographic, comorbidity, and function variables were associated with in-hospital mortality.

OBJETIVO: Investigar sociodemografía, comorbilidad y situación funcional de los pacientes de 65 o más años de edad que consultaron a los servicios de urgencias hospitalarios (SUH) durante la primera oleada epidémica de COVID, compararlas con un periodo previo y ver su relación. METODO: Se utilizaron los datos obtenidos de la cohorte EDEN-Covid (Emergency Department and Elder Needs during COVID) en la que participaron 40 SUH españoles que incluyeron todos los pacientes de $ 65 años atendidos durante 7 días consecutivos. Se analizaron 9 características sociodemográficas, 18 comorbilidades y 7 variables de funcionalidad, que se compararon con las de la cohorte EDEN (Emergency Department and Elder Needs), que contiene pacientes con el mismo criterio de inclusión etario reclutados por los mismos SUH un año antes. Se recogió la mortalidad intrahospitalaria y se investigaron los factores asociados mediante regresión logística multivariable. RESULTADOS: La cohorte EDEN-Covid incluyó 6.806 pacientes (mediana edad: 78 años; 49% mujeres). Hubo más varones, con cobertura sanitaria pública, procedentes de residencia y que llegaron con ambulancia medicalizada que durante el periodo prepandemia. Presentaron más frecuentemente diabetes mellitus, enfermedad renal crónica, enfermedad cerebrovascular y demencia y menos conectivopatías y enfermedad tromboembólica, peores índices de Barthel y Charlson, más deterioro cognitivo y menos antecedentes de depresión o caídas previas. Fallecieron durante el episodio 890 pacientes (13,1%), 122 de ellos en urgencias (1,8%), porcentajes superiores al periodo prepandemia (3,1% y 0,5%, respectivamente). Se asociaron de forma independiente a mayor mortalidad durante el periodo COVID la llegada en ambulancia, mayor edad, ser varón y vivir en residencia como variables sociodemográficas, y neoplasia, enfermedad renal crónica e insuficiencia cardiaca como comorbilidades. La única variable funcional asociada a mortalidad fue no deambular respecto a ser autónomo, y la existencia de caídas los 6 meses previos resultó un factor protector. CONCLUSIONES: La sociodemografía, comorbilidad y funcionalidad de los pacientes de 65 o más años que consultaron en los SUH españoles durante la primera ola pandémica difirieron en muchos aspectos de lo habitualmente observado en esta población. La mortalidad fue mayor a la del periodo prepandémico. Algunos aspectos sociodemográficos, de comorbilidad y funcionales se relacionaron con la mortalidad intrahospitalaria.

Factors associated with short-term mortality after emergency department care of residents living in aged care homes: findings from the multicenter Caregency study. / Factores asociados con mortalidad a corto plazo en personas que viven en residencias atendidas en servicios de urgencias: resultados del estudio multicéntrico Caregency.

OBJECTIVES: To evaluate short-term mortality in people transferred from aged care homes for treatment in a hospital emergency department (ED) and to analyze factors associated with mortality. MATERIAL AND METHODS: Multicenter study of a random sample of retrospective data of patients treated in 5 EDs in Catalonia in 2017. The patients were over the age of 65 years and lived in residential care facilities. In addition to short-term mortality (in the ED or within 30 days of discharge), we analyzed sociodemographic characteristics, prior functional and cognitive status, multimorbidity, triage level on arrival, length of stay in the ED, and hospital admission. Odds ratios (ORs) for factors associated with short-term mortality were calculated by multivariate regression analysis. RESULTS: A total of 2444 ED admissions were analyzed. The patients' mean (SD) age was 85.9 (7.1) years, and 67.7% .were women. Short-term mortality (in 15.5%) was associated with age >90 years (OR, 1.50; 95% CI, 1.5-1.95 years), a Charlson index >2 (OR, 1.47; 95% CI, 1.14-1.90), and dependency assessed as moderate (OR, 1.50; 95% CI, 1.03- 2.20) or severe (OR, 2.56; 95% CI, 1.84-3.55). Other associated factors were a higher level of urgency on triage, duration of ED stay, and hospital admission. CONCLUSION: Aged residents with the characteristics associated with short-term mortality could benefit from interventions for potentially avoiding unnecessary transfers to an ED, and from the implementation of comprehensive geriatric care within the ED. This could be useful to support good quality of care at the end of life.

OBJETIVO: Evaluar la frecuencia y los factores asociados con la mortalidad a corto plazo de personas que viven en residencias tras ingreso en urgencias. METODO: Análisis retrospectivo multicéntrico de una muestra aleatoria de admisiones de personas $ 65 años que viven en residencias en cinco servicios de urgencias de Cataluña, a lo largo de 2017. Se analizaron características sociodemográficas, el estado funcional y cognitivo previo, multimorbilidad, nivel de triaje de las urgencias, duración de la estancia en urgencias, hospitalización y mortalidad a corto plazo (en urgencias o en los 30 días posteriores al alta). Se utilizó un análisis de regresión multivariante para investigar los factores asociados con la mortalidad a corto plazo. RESULTADOS: Se analizaron 2.444 admisiones en urgencias, con una edad media de 85,9 (DE 7,1) años, 67,7% mujeres. La mortalidad a corto plazo (15,5%) se asoció con una edad > 90 años (OR 1,50; IC 95%: 1,5-1,95), un índice de Charlson > 2 (OR 1,47; IC 95%: 1,14-1,90), y un grado de dependencia moderado (OR 1,50; IC 95%: 1,03-2,20) y grave (OR 2,56; IC 95%: 1,84-3,55). También se asoció con un mayor nivel de triaje de la urgencia, duración de la estancia en urgencias e ingreso en planta de hospitalización. CONCLUSIONES: Los ancianos residentes con las características descritas podrían beneficiarse especialmente de intervenciones dirigidas a la prevención de traslados potencialmente innecesarios a urgencias y a la implementación de una atención integral geriátrica dentro de los servicios de urgencias, a fin de garantizar una buena calidad de los cuidados en fases finales de la vida.

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.

Departments involved during the first episode of acute heart failure and subsequent emergency department revisits and rehospitalisations: an outlook through the NOVICA cohort.

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.

Effect of Barthel Index on the Risk of Thirty-Day Mortality in Patients With Acute Heart Failure Attending the Emergency Department: A Cohort Study of Nine Thousand Ninety-Eight Patients From the Epidemiology of Acute Heart Failure in Emergency Departments Registry.

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.