Use of diagnostic tests in elderly patients consulting the emergency department. Analysis of the emergency department and elder needs cohort (EDEN-8).

OBJECTIVE: Analyse the association between the use of diagnostic tests and the characteristics of older patients 65 years of age or more who consult the emergency department (ED). METHODS: We performed an analysis of the EDEN cohort that includes patients who consulted 52 Spanish EDs. The association of age, sex, and ageing characteristics with the use of diagnostic tests (blood tests, electrocardiogram (ECG), microbiological cultures, X-ray, computed tomography, ultrasound, invasive techniques) was studied. The association was analysed by calculating the adjusted odds ratios (aOR) and their 95 % confidence intervals (CI) using a logistic regression model. RESULTS: A total of 25,557 patients were analysed. There was an increase in the use of diagnostic tests based on age, with an aOR for blood test of 1.805 (95 %CI 1.671 - 1.950), ECG 1.793 (95 %CI 1.664 - 1.932) and X-ray 1.707 (95 %CI 1.583 - 1.840) in the group of 85 years or more. The use of diagnostic tests is lower in the female population. Most ageing characteristics (cognitive impairment, previous falls, polypharmacy, dependence, and comorbidity) were independently associated with increased use of diagnostic tests. CONCLUSIONS: Age, and the characteristics of ageing itself are generally associated with a greater use of diagnostic tests in the ED.

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.

Características sociodemográ cas y su relación con las recaídas al año en una cohorte de fumadores / No disponible

Objetivos: Analizar la relación entre las recaídas que sufren un grupo de fumadores y las características sociodemográ - cas, de consumo y entorno de los mismos. Material y métodos: Estudio descriptivo prospectivo sobre 1.503 pacientes atendidos en una consulta especializada en tabaquismo durante 10 años, realizando un seguimiento durante 12 meses consecutivos. El programa de tratamiento consistió en una combinación de tratamiento farmacológico y tratamiento conductual. El tratamiento se desarrolló en 7 sesiones individuales: una visita inicial y seis de seguimiento. Resultados: 1503 fumadores, siendo 47,7% hombres (n=716) y 52,3% mujeres (n=787), con una edad media de 49,6 años (DE=11,6). Sufren recaídas, el 71,2% del total, siendo las mujeres (74,9%) las que signi cativamente (p=0,022) presentan más recaídas que los hombres (67,5%). Conclusiones: Son los factores sociodemográ cos por encima de los factores de consumo, entorno o motivacionales, los que determinan y condicionan las recaídas en el proceso de deshabituación tabáquica (AU)

Objective: Analyze the relationship between smokers relapse and sociodemographical, consumptional and environmental characteristics. Patients and methods: Prospective study in 1503 patients who attended a smoking cessation service for along 10 years, and who were followed up during 12 consecutive months. The programe consisted in combination of pharmacological treatment and cognitive-behavioural treatment. This treatment was developed in 7 individual sessions: 1 basal session and 6 follow up visit. Results: 1503 patients were studied.47,7% men (n=716) and women 52,3% (n=787). Mean age 49,6 years (DE=11,6). Suffer relapse 71,2%, and it was the women group which showed signi cativaly more relapse. Conclusions: The sociodemographical factors determine, over consumption and environmental ones, more relapse during smoking cessation (AU)