Proyecto de instalación eléctrica de baja tensión para hotel

Instalación eléctrica de baja tensión para hotel compuesto por 29 habitaciónes, cafetería, cocina, salón comedor, biblioteca y sala de reuniones, con clasificación de pública concurrencia. Incluyendo esta instalación líneas de fuerza, alumbrado, grupo electrógeno, distribución de cuadros eléctricos, cálculos eléctricos..

Proyecto de instalación eléctrica en baja tensión para un taller de vehículos pesados

Realización de un proyecto completo acerca de la instalación eléctrica en una nave destinada a actividad industrial como taller de reparaciones de vehñiculos pesados, ubicada en el Polígono Las Viñazas, Pastriz (Zaragoza).Se presenta toda la información en 4 documentos:Memoria, Planos, Pliego de condiciones y Presupuesto.<br /

Proyecto de ampliación y adecuación de la instalación eléctrica de una línea de limpieza de astilla, en una empresa dedicada a la fabricación de tableros de madera

El proyecto está centrado en el diseño y cálculo de la instalación en baja tensión de una línea de limpieza de astilla como aplicación de una ya existente en una empresa dedicada a la fabricación de productos de madera.<br /

Trends in prevalence and the effects on hospital outcomes of dementia in patients hospitalized with acute COPD exacerbation

Aims: To assess changes in prevalence and the effects on hospital outcomes of dementia among patients hospitalized with an acute exacerbation of chronic obstructive pulmonary disease (AE-COPD); and to evaluate sexdifferences, as well as the impact of COVID-19 pandemic in this relationship. Methods: We used a nationwide discharge database to select patients admitted with AE-COPD in Spain from 2011 to 2020. We identified those with any type of dementia, vascular dementia (VaD) or Alzheimer’s disease (AD). Results: We identified 658,429 hospitalizations with AE-COPD (4.45% had any type of dementia, 0.79% VaD and 1.57% AD). The presence of any type of dementia remained stable from 2011 to 2015, and increased significantly between 2016 and 2020. For VaD, the time trend showed no change until 2020, when a significant increment was found. The probability of AD decreased significantly overtime. The in-hospital mortality (IHM) among patients with any type of dementia remained stable overtime until 2020, when it increased significantly. Older age, higher comorbidity, COVID-19, and use of mechanical ventilation were variables associated to IHM. Women had lower risk of dying in the hospital than men in all subgroups. Conclusions: After a previous period of stability, the prevalence of any type of dementia increased over the last 5 years of the study, although we identified different trends depending on the specific cause of dementia. The IHM remained stable overtime until 2020, when it increased, probably related to the COVID-19 pandemic. It is remarkable the protective effect of female sex for IHM.Depto. de Salud Pública y Materno - InfantilFac. de MedicinaTRUEResearch Aid 2022Sociedad Madrileña de Neumología y Cirugía de Tórax (NEUMOMADRID)Comunidad de MadridUniversidad Complutense de Madrid. Grupo de Investigación en Epidemiología de las Enfermedades Crónicas de Alta Prevalencia en EspañaSociedad Española de Neumología y Cirugía de Tórax (SEPAR)pu

Aprendizaje Servicio e Innovación Social desde la Universidad

El Aprendizaje Servicio es una estrategia docente necesaria para el desarrollo de iniciativas de emprendimiento e innovación social, que partan desde la Universidad, y que se puedan incorporar en las diferentes áreas de conocimiento de la UC

Trends in asthma hospitalizations among adults in Spain: Analysis of hospital discharge data from 2011 to 2020

Aims: To analyze trends in asthma hospitalizations in patients over 15 years of age in Spain. To identify possible changes in incidence, demographic characteristics, clinical conditions, and outcomes. Methods: We conducted an observational retrospective epidemiological study using the Spanish National Hospital Discharge Database and included all patients hospitalized with a diagnosis of asthma from 2011 to 2020. Results: A total of 1,102,923 patients were hospitalized with a code for asthma in any diagnostic position; of these, 153,749 (13.94%) had asthma coded as the primary diagnosis (asthma exacerbation). The number of patients with an asthma exacerbation decreased over time, from 15,356 in 2011 to 8804 in 2020. In-hospital mortality (IHM) remained low (around 1.5%) and stable in this subgroup of patients. When the diagnosis of asthma appeared in any diagnostic position, hospitalizations increased for all ages and sexes. In this case, a significant change was observed for IHM, which increased from 3.27% in 2011–12 to 4.36% in 2019–20 (p < 0.001). The main risk factors for IHM in both cases were age over 65 years, need for mechanical ventilation, and associated diagnoses of pneumonia, heart disease, or atrial fibrillation. In contrast, obesity was a predictor of lower mortality. Conclusion: Our results suggest a decline in the incidence of hospitalizations for asthma exacerbations from 2011 to 2020. In contrast, the number of patients with asthma in any diagnostic position increased progressively, as did mortality, probably owing to an increase in comorbidities in a gradually ageing population

Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HRþ)/HER2-negative advanced breast cancer patients.

Este artículo ha sido publicado en la revista European Journal of Cancer. Esta versión tiene Licencia Creative Commons CC-BY-NC-NDBackground: CDK4/6 inhibitors plus endocrine therapies are the current standard of care in the first-line treatment of HRþ/HER2-negative metastatic breast cancer, but there are no well-established clinical or molecular predictive factors for patient response. In the era of personalised oncology, new approaches for developing predictive models of response are needed. Materials and methods: Data derived from the electronic health records (EHRs) of real-world patients with HRþ/HER2-negative advanced breast cancer were used to develop predictive models for early and late progression to first-line treatment. Two machine learning approaches were used: a classic approach using a data set of manually extracted features from reviewed (EHR) patients, and a second approach using natural language processing (NLP) of freetext clinical notes recorded during medical visits. Results: Of the 610 patients included, there were 473 (77.5%) progressions to first-line treatment, of which 126 (20.6%) occurred within the first 6 months. There were 152 patients (24.9%) who showed no disease progression before 28 months from the onset of first-line treatment. The best predictive model for early progression using the manually extracted dataset achieved an area under the curve (AUC) of 0.734 (95% CI 0.687e0.782). Using the NLP free-text processing approach, the best model obtained an AUC of 0.758 (95% CI 0.714 e0.800). The best model to predict long responders using manually extracted data obtained an AUC of 0.669 (95% CI 0.608e0.730). With NLP free-text processing, the best model attained an AUC of 0.752 (95% CI 0.705e0.799). Conclusions: Using machine learning methods, we developed predictive models for early and late progression to first-line treatment of HRþ/HER2-negative metastatic breast cancer, also finding that NLP-based machine learning models are slightly better than predictive models based on manually obtained data

Time Trends in Clinical Characteristics and Hospital Outcomes of Hospitalizations for Lung Transplantation in COPD Patients in Spain from 2016 to 2020—Impact of the COVID-19 Pandemic

This study is part of the research funded by: Sociedad Española de Neumología y Cirugía de Tórax (SEPAR), Research Aid 2022, Project number 1309; and Sociedad Madrileña de Neumología y Cirugía de Tórax (NEUMOMADRID), XXII Awards Edition, 2022, and by: Convenio V-PRICIT de la Comunidad de Madrid y la Universidad Complutense de Madrid (“Programa de Excelencia para el Profesorado Universitario” INV.AY.20.2021.1E126), and by: Universidad Complutense de Madrid. Grupo de Investigación en Epidemiología de las Enfermedades Crónicas de Alta Prevalencia en España (970970).(1) Background: To examine the clinical characteristics and hospital outcomes of hospitalization for lung transplantation in COPD patients in Spain from 2016 to 2020; and to assess if the COVID-19 pandemic has affected the number or the outcomes of lung transplantations in these patients. (2) Methods: We used the Spanish National Hospital Discharge Database to select subjects who had a code for COPD (ICD-10: J44) and had undergone a lung transplantation (ICD-10 codes OBYxxxx). (3) Results: During the study period, 704 lung transplants were performed among COPD patients (single 31.68%, bilateral 68.32%). The absolute number of transplants increased with raising rates of 8%, 14% and 19% annually from 2016 to 2019. However, a marked decrease of −18% was observed from 2019 to year 2020. Overall, 47.44% of the patients suffered at least one complication, being the most frequent lung transplant rejection (24.15%), followed by lung transplant infection (13.35%). The median length of hospital stay (LOHS) was 33 days and the in-hospital-mortality (IHM) was 9.94%. Variables associated with increased risk of mortality were a Comorbidity Charlson Index ≥ 1 (OR 1.82; 95%CI 1.08–3.05) and suffering any complication of the lung transplantation (OR 2.14; 95%CI 1.27–3.6). COPD patients in 2020 had a CCI ≥ 1 in a lower proportion than 2019 patients (29.37 vs. 38.51%; p = 0.015) and less frequently suffered any complications after the lung transplantation (41.26 vs. 54.6%; p = 0.013), no changes in the LOHS or the IHM were detected from 2019 to 2020. (4) Conclusions: Our study showed a constant increase in the number of lung transplantations from 2016 to 2019 in COPD patients, with a drop from 2019 to 2020, probably related to the COVID-19 pandemic. However, no changes in LOHS or IHM were detected over time.Depto. de Salud Pública y Materno - InfantilFac. de MedicinaTRUESociedad Española de Neumología y Cirugía de Tórax (SEPAR)Sociedad Madrileña de Neumología y Cirugía de Tórax (NEUMOMADRID)Convenio V-PRICITUniversidad Complutense de MadridUniversidad Complutense de Madrid. Grupo de Investigación en Epidemiología de las Enfermedades Crónicas de Alta Prevalencia en España (970970)pu

Incentivar y potenciar la generación colectiva de conocimiento y la participación del alumnado a través de herramientas digitales en línea

El surgimiento de herramientas en línea para la participación del alumnado constituye un recurso con enorme potencial de innovación para la docencia y los procesos de enseñanza y aprendizaje en la educación superior. Por un lado, porque aumenta las posibilidades de generar conocimiento de forma colectiva a través de la colaboración del alumnado con los y las docentes, no solo preguntando y respondiendo de forma anónima (si se quiere que así sea) a las cuestiones que puedan ir planteándose a lo largo del curso, sino también evaluando el propio desarrollo del mismo y las metodologías empleadas. Herramientas que posibilitan esta línea, mediante la llamada gamificación, tan motivante; y metodología de trabajo, como Kahoot o Mentimeter, presentan además una interfaz atractiva y muy fácil de utilizar, tanto por parte del alumnado como del profesorado, a través de cualqiuier dispositivo móvil con posibilidad de conexión a Internet. No obstante, la primera (Kahoot) es mucho más limitada en sus posibilidades que la segunda (Mentimeter). Por este motivo, en este Proyecto de Innovación Docente apostamos por utilizar Mentimeter Estos instrumentos en línea se adaptan de forma muy sencilla tanto a la docencia presencial y sincrónica, como a la docencia semipresencial o en línea (con una cierta asincronicidad), por lo que aparecen como un recurso muy útil en el contexto de incertidumbre respecto a la articulación de la metodología de enseñanza debido a la pandemia de la covid-19. Este proyecto congrega a un grupo de docentes interdisciplinar, interdepartemental, interfacultativo que incluye, además, la participación de un docente experto en la herramienta de otra universidad (URJC).