Epidemiological and clinical management aspects of pneumonias diagnosed in the emergency department in elderly patients in Spain: Results of the EDEN-29 study.

OBJECTIVES: To estimate the incidence of pneumonia diagnosis in elderly patients in Spanish emergency departments (ED), need for hospitalization, adverse events and predictive capacity of biomarkers commonly used in the ED. METHODS: Patients ≥65 years with pneumonia seen in 52 Spanish EDs were included. We recorded in-hospitaland 30-day mortality as adverse events, as well as intensive care unit (ICU) admission among hospitalizedpatients. Association of 10 predefined variables with adverse events was calculated and expressed as odds ratio (OR) with 95% confidence interval (CI), as well as predictive capacity of 5 commonly used biomarkers in the ED (leukocytes, hemoglobin, C-reactive protein, glucose, creatinine) was investigated using area under the receiver operating characteristic curve (AUC-ROC). RESULTS: 591 patients with pneumonia attended in the ED were included (annual incidence of 18,4 per 1000 inhabitants). A total of 78.0% were hospitalized. Overall, 30-day mortality was 14.2% and in-hospital mortality was 12.9%. Functional dependency was associated with both events (OR=4.453, 95%CI=2.361-8.400; and OR=3.497, 95%CI=1.578-7.750, respectively) as well as severe comorbidity (2.344, 1.363-4.030, and 2.463, 1.252-4.846, respectively). Admission to the ICU during hospitalization occurred in 3.5%, with no associated factors. The predictive capacity of biomarkers was only moderate for creatinine for ICU admission (AUC-ROC=0.702, 95% CI=0.536-0.869) and for leukocytes for post-discharge adverse event (0.669, 0.540-0.798). CONCLUSIONS: Pneumonia is a frequent diagnosis in elderly patients consulting in the ED. Their functional dependence and comorbidity is the factor most associated with adverse events. The biomarkers analyzed do not have a good predictive capacity for adverse events.

Influence of income on in-hospital mortality in older adults during the first wave of the COVID-19 pandemic: results from the EDEN-33 study. / Influencia de la renta económica en la mortalidad intrahospitalaria de las personas mayores durante la primera ola de la pandemia por COVID-19: resultados del estudio EDEN-33.

OBJECTIVES: To determine whether income was associated with unexpected in-hospital mortality in older patients treated in Spanish public health system hospital emergency departments. MATERIAL AND METHODS: Fifty-one public health system hospital emergency departments in Spain voluntarily participated in the study. Together the hospitals covered 25% of the population aged 65 years or older included in all patient registers during a week in the pre-pandemic period (April 1-7, 2019) and a week during the COVID-19 pandemic (March 30 to April 5, 2020). We estimated a patient's gross income as the amount published for the postal code of the patient's address. We then calculated the standardized gross income (SGI) by dividing the patient's estimated income by the mean for the corresponding territory (Spanish autonomous community). The existence and strength of an association between the SGI and in-hospital mortality was evaluated by means of restricted cubic spline (RCS) curves adjusted for 10 patient characteristics at baseline. Odds ratios (ORs) for each income level were expressed in relation to a reference SGI of 1 (the mean income for the corresponding autonomous community). We compared the COVID-19 and pre-pandemic periods by means of first-order interactions. RESULTS: Of the 35 280 patients attended in the 2 periods, gross income could be ascertained for 21 180 (60%), 15437 in the pre-pandemic period and 5746 during the COVID-19 period. SGIs were slightly higher for patients included before the pandemic (1.006 vs 0.994; P = .012). In-hospital mortality was 5.6% overall and higher during the pandemic (2.8% pre-pandemic vs 13.1% during COVID-19; P .001). The adjusted RCS curves showed that associations between income and mortality differed between the 2 periods (interaction P = .004). Whereas there were no significant income-influenced differences in mortality before the pandemic, mortality increased during the pandemic in the lowest-income population (SGI 0.5 OR, 1.82; 95% CI, 1.32-3.37) and in higher-income populations (SGI 1.5 OR, 1.32; 95% CI, 1.04-1.68, and SGI 2 OR, 1.92; 95% CI, 1.14-3.23). We found no significant differences between patients with COVID-19 and those with other diagnoses (interaction P = .667). CONCLUSION: The gross income of patients attended in Spanish public health system hospital emergency departments, estimated according to a patient's address and postal code, was associated with in-hospital mortality, which was higher for patients with the lowest and 2 higher income levels. The reasons for these associations might be different for each income level and should be investigated in the future.

OBJETIVO: Determinar si el nivel económico durante la primera ola pandémica tuvo una influencia diferente a la esperable en la mortalidad intrahospitalaria de los pacientes mayores atendidos en los servicios de urgencias (SU) de los hospitales públicos españoles. METODO: Cincuenta y un SU públicos españoles que participaron voluntariamente y que dan cobertura al 25% de la población incluyeron todos los registros de pacientes de edad 65 años atendidos durante una semana del periodo preCOVID (1-4-2019 a 7-4-2019) y una semana del periodo COVID (30-3-2020 a 5-4-2020). Se identificó la renta bruta (RB) asignada al código postal de residencia de cada paciente y se calculó la RB normalizada (RBN) dividiendo aquella por la RB media de su comunidad autónoma. La existencia y fuerza de la relación entre RBN y mortalidad intrahospitalaria se determinó mediante curvas spline cúbicas restringidas (SCR) ajustadas por 10 características basales del paciente. Las OR para cada situación económica se expresó en relación con una RBN de 1 (referencia, renta correspondiente a la media de la comunidad autónoma). La comparación entre periodo COVID y no COVID se realizó mediante el estudio de interacción de primer grado. RESULTADOS: De los 35.280 registros de pacientes atendidos en ambos periodos, se disponía de la RB en 21.180 (60%): 15.437 del periodo preCOVID y 5.746 del periodo COVID. La RBN de los pacientes incluidos fue discretamente superior en el periodo preCOVID (1,006 versus 0,994; p = 0,012). La mortalidad intrahospitalaria fue del 5,6%, y fue superior durante el periodo COVID (2,8% versus 13,1%; p 0,001). Las curvas SCR ajustadas mostraron una asociación entre nivel económico y mortalidad diferente entre ambos periodos (p interacción = 0,004): en el periodo preCOVID no hubo diferencias significativas de mortalidad en función de la RBN, mientras que en el periodo COVID la mortalidad se incrementó en rentas bajas (OR = 1,82, IC 95% = 1,32-3,37 para RBN de 0,5) y en rentas altas (OR = 1,32, IC 95% = 1,04-1,68 y OR = 1,92, IC 95% = 1,14-3,23 para RBN de 1,5 y 2, respectivamente), sin diferencias significativas entre pacientes con COVID y con otros diagnósticos (p interacción = 0,667). CONCLUSIONES: Durante la primera ola de la pandemia COVID, la RB asignada al código postal de residencia de los pacientes atendidos en los SU públicos españoles se asoció con la mortalidad intrahospitalaria, que aumentó en pacientes de rentas bajas y altas. Las razones de estas asociaciones pueden ser distintas para cada segmento económico y deben ser investigadas en el fututo.

Risk Assessment after ST-Segment Elevation Myocardial Infarction: Can Biomarkers Improve the Performance of Clinical Variables?

INTRODUCTION: Myocardial infarction with ST-segment elevation (STEMI) is the coronary artery disease associated with the highest risk of morbimortality; however, this risk is heterogeneous, usually being evaluated by clinical scores. Risk assessment is a key factor in personalized clinical management of patients with this disease. AIM: The aim of this study was to assess whether some new cardiac biomarkers considered alone, combined in a multibiomarker model or in association with clinical variables, improve the short- and long-term risk stratification of STEMI patients. MATERIALS AND METHODS: This was a retrospective observational study of 253 patients with STEMI. Blood samples were obtained before or during the angiography. The assessed biomarkers were C-terminal fragment of insulin-like growth factor binding protein-4 (CT-IGFBP4), high sensitive cardiac troponin T (hs-cTnT), N-terminal fragment of probrain natriuretic peptide (NT-proBNP), and growth differentiation factor 15 (GDF-15); they reflect different cardiovascular (CV) physiopathological pathways and underlying pathologies. We registered in-hospital and follow-up mortalities and their causes (cardiovascular and all-cause) and major adverse cardiac events (MACE) during a two year follow-up. Discrimination, survival analysis, model calibration, and reclassification of the biomarkers were comprehensively evaluated. RESULTS AND DISCUSSION: In total, 55 patients (21.7%) died, 33 in-hospital and 22 during the follow-up, most of them (69.1%) from CV causes; 37 MACE occurred during follow-up. Biomarkers showed good prognostic ability to predict mortality, alone and combined with the multibiomarker model. A predictive clinical model based on age, Killip-Kimball class, estimated glomerular filtration rate (eGFR), and heart rate was derived by multivariate analysis. GDF-15 and NT-proBNP significantly improved risk assessment of the clinical model, as shown by discrimination, calibration, and reclassification of all the end-points except for all-cause mortality. The combination of NT-proBNP and hs-cTnT improved CV mortality prediction. CONCLUSIONS: GDF-15 and NT-proBNP added value to the usual risk assessment of STEMI patients.

Sociodemographic characteristics, functional status, and health resource use of older patients treated in Spanish emergency departments: a description of the EDEN cohort. / Características sociodemográficas, funcionales y consumo de recursos de la población mayor atendida en los servicios de urgencias españoles: una aproximación desde la cohorte EDEN.

OBJECTIVES: To describe the sociodemographic characteristics of and the health care resources used to treat patients aged 65 years or older who come to hospital emergency departments (EDs) in Spain, according to age groups. MATERIAL AND METHODS: We studied the phase-1 data for the EDEN cohort (Emergency Department and Elder Needs). Forty Spanish EDs collected data on all patients aged 65 years or older who were treated on the first 7 days in April 2019. We registered information on 6 sociodemographic and 5 function variables for all patients. For health resource use we used 6 diagnostic, 13 therapeutic, and 5 physical structural variables, for a total of 24 variables. Differences were analyzed according to age in blocks of 5 years. RESULTS: A total of 18 374 patients with a median age of 78 years were included; 55% were women. Twenty-seven percent arrived by ambulance, 71% had not previously been seen by a physician, and 13% lived alone without assistance. Ten percent had a high level of functional dependence, and 14% had serious comorbidity. Resources used most often were blood analysis (in 60%) and radiology (59%), analgesics (25%), intravenous fluids (21%), antibiotics (14%), oxygen (13%), and bronchodilators (11%). Twenty-six percent were kept under observation in the ED, 26% were admitted to wards, and 2% were admitted to intensive care units (ICUs). The median stay in the ED was 3.5 hours, and the median hospital stay was 7 days. Sociodemographic characteristics changed according to age. Functional dependence worsened with age, and resource requirements increased in general. However, benzodiazepine use was unaffected, while the use of nonsteroidal anti-inflammatory drugs and ICU admission decreased. CONCLUSION: The functional dependence of older patients coming to EDs increases with age and is associated with a high level of health care resource use, which also increases with age. Planners should take into consideration the characteristics of the older patients and the proportion of the caseload they represent when arranging physical spaces and designing processes for a specific ED.

OBJETIVO: Investigar las características sociodemográficas y consumo de recursos de los pacientes de 65 o más años que consultan en servicios de urgencias hospitalarios (SUH) en España, y su modificación por grupos etarios. METODO: Se utilizaron datos de la cohorte EDEN obtenidos en fase 1 (Emergency Department and Elder Needs). Cuarenta SUH españoles incluyeron todos los pacientes de $ 65 años atendidos del 1-4-2019 al 7-4-2019 (7 días). Se analizaron 6 características sociodemográficas, 5 funcionales y 24 referidas a consumo de recursos (6 diagnósticos, 13 terapéuticos, 5 estructurales) y sus cambios a medida que avanza la edad (agrupada en bloques de 5 años). RESULTADOS: Se analizaron 18.374 pacientes (mediana edad: 78 años; 55% mujeres). El 27% acude a urgencias en ambulancia, el 71% sin consulta médica previa y el 13% vive solo sin cuidadores. Funcionalmente, el 10% tiene dependencia grave y el 14% comorbilidad grave. La solicitud de analítica sanguínea (60% de casos) y radiología (59%) destaca entre el consumo de recursos diagnósticos, y el uso de analgésicos (25%), sueroterapia (21%), antibioticoterapia (14%), oxigenoterapia (13%) y broncodilatadores (11%), entre los terapéuticos. El 26% requiere observación en urgencias, el 26% hospitalización y el 2% cuidados intensivos. La mediana de estancia en urgencias es de 3:30 horas y la de hospitalización es de 7 días. Las características sociodemográficas se modifican con la edad, las funcionales empeoran y el consumo de recursos aumenta (excepto benzodiacepinas, que no se modifica, y antinflamatorios no esteroideos y cuidados intensivos, que disminuye). CONCLUSIONES: Las características funcionales de la población mayor que consulta en los SUH empeora a medida que su edad avanza, y se asocia a un consumo de recursos alto que también se incrementa con la edad. Las características de esta población y su proporción en un determinado SUH deben tenerse en cuenta en su planificación estructural y funcional.

Impact of the COVID-19 pandemic on hospital emergency departments: results of a survey of departments in 2020 - the Spanish ENCOVUR study. / Impacto organizativo de la pandemia COVID-19 de 2020 en los servicios de urgencias hospitalarios españoles: resultados del estudio ENCOVUR.

OBJECTIVES: To estimate the impact of the coronavirus disease 2019 (COVID-19) pandemic on the organization of Spanish hospital emergency departments (EDs). To explore differences between Spanish autonomous communities or according to hospital size and disease incidence in the area. MATERIAL AND METHODS: Survey of the heads of 283 EDs in hospitals belonging to or affiliated with Spain's public health service. Respondents evaluated the pandemic's impact on organization, resources, and staff absence from work in March and April 2020. Assessments were for 15-day periods. Results were analyzed overall and by autonomous community, hospital size, and local population incidence rates. RESULTS: A total of 246 (87%) responses were received. The majority of the EDs organized a triage system, first aid, and observation wards; areas specifically for patients suspected of having COVID-19 were newly set apart. The nursing staff was increased in 83% of the EDs (with no subgroup differences), and 59% increased the number of physicians (especially in large hospitals and locations where the COVID-19 incidence was high). Diagnostic tests for the severe acute respiratory syndrome coronavirus 2 were the resource the EDs missed most: 55% reported that tests were scarce often or very often. Other resources reported to be scarce were FPP2 and FPP3 masks (38% of the EDs), waterproof protective gowns (34%), and space (32%). More than 5% of the physicians, nurses, or other emergency staff were on sick leave 20%, 19%, and 16% of the time. These deficiencies were greatest during the last half of March, except for tests, which were most scarce in the first 15 days. Large hospital EDs less often reported that diagnostic tests were unavailable. In areas where the COVID-19 incidence was higher, the EDs reported higher rates of staff on sick leave. Resource scarcity differed markedly by autonomous community and was not always associated with the incidence of COVID-19 in the population. CONCLUSION: The COVID-19 pandemic led to organizational changes in EDs. Certain resources became scarce, and marked differences between autonomous communities were detected.

OBJETIVO: Estimar el impacto del brote pandémico de COVID-19 en diversos aspectos organizativos de los servicios de urgencias hospitalarios (SUH) españoles e investigar si difirió en función de la comunidad autónoma, tamaño del hospital e incidencia local de la pandemia. METODO: Encuesta a los responsables de los 283 SUH españoles de uso público, quienes valoraron el impacto de la pandemia en aspectos organizativos, disponibilidad de recursos, y bajas del personal durante marzo-abril de 2020, diferenciando dicho impacto por quincenas. Los resultados se analizaron en conjunto, por comunidad autónoma, según tamaño del hospital y según incidencia local de la pandemia. RESULTADOS: Se recibieron 246 encuestas (87% de los SUH españoles). La mayoría de SUH reorganizaron el triaje, primera asistencia y observación y habilitó nuevos espacios específicos para pacientes con sospecha de COVID-19. Un 83% aumentó dotación enfermera (sin diferencias entre grupos) y un 59% la dotación de médicos (más frecuente en hospitales grandes y zonas de alta incidencia). El recurso que más escaseó fue el test diagnóstico de SARS-CoV-2 (55% del tiempo insuficiente con cierta o mucha frecuencia), seguido de mascarillas FPP2-FPP3 (38%), batas impermeables (34%) y espacio asistencial (32%). Hubo más del 5% de médicos/enfermería/otro personal de baja el 20%/19%/16% del tiempo. Estos déficits fueron máximos la segunda quincena de marzo, excepto para los test diagnósticos (primera quincena de marzo). Los SUH de grandes centros tuvieron menos escasez de tests diagnósticos, y los de zonas de alta incidencia pandémica más profesionales de baja. Existieron marcadas diferencias en todas estos déficits entre comunidades autónomas, no siempre concordantes con el grado de afectación pandémica en cada comunidad. CONCLUSIONES: La pandemia COVID-19 generó cambios estructurales en los SUH, que sufrieron una escasez considerable en ciertos recursos, con diferencias marcadas entre comunidades autónomas.