The Impact of the Second Wave of the COVID-19 Pandemic on Non-COVID Hospital Care in a Tertiary Hospital in Spain

Supplementary Materials: The supplementary information can be accessed and downloaded at: https://www.mdpi.com/article/10.3390/jcm12175507/s1In 2020, Spain ranked fourth among European countries with the highest excess mortality due to COVID-19 disease. This study evaluates the impact of the COVID-19 pandemic on non-COVID patients in a tertiary hospital during the second pandemic wave in Spain (22 June 2020-6 December 2020). Data from Virgen del Rocio University Hospital in Seville during that timeframe were compared with the data from the same period in the preceding two years (2018-2019). Between-group comparisons were performed using the Chi-squared test, Student's t-test, or Mann-Whitney U tests, as appropriate. A total of 63,137 non-COVID patients were included in this study. During the second pandemic wave, a 19% decrease was observed in the annual number of non-COVID admissions overall (18,260 vs. 22,439, p < 0.001), but a 10% increase in the proportion of emergency admissions (60.6% vs. 54.93%, p < 0.001), a higher severity level of patients (1.79 vs. 1.72, p < 0.001), a longer in-hospital stay (7.02 vs. 6.74 days, p < 0.001), a 26% increase in non-COVID mortality (4.9% vs. 3.9%, p < 0.001), and a 50% increase in global mortality (5.9 vs. 3.9, p < 0.001) were also observed. In terms of both medical and surgical diagnoses, a significant reduction in the number of admissions and an increase in in-hospital mortality were observed. These results demonstrate the significant impact of the pandemic on hospital care, similar to what was previously observed during the initial wave in the same hospital. Our findings emphasize the need to include non-COVID patients when assessing the broad impact of the pandemic on healthcare, beyond its direct effects on COVID-19 patients.“Programa Beatriz Galindo” Ministry of Universities, the Government of SpainUniversity of Seville, Spai

The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture

In this article, we discuss existing literature on DSS in agriculture, on DSS that use data available in the Semantic Web, and on Semantic Web initiatives focusing on agriculture information. Our goal is to assess the readiness of the Semantic Web as a platform to empower DSS that can keep risk and uncertainty in agriculture under control. Key agricultural activities targeted by DSS reported in literature are nutrient management, insect and pest management, land use and planning, environmental change and forecasting, and water and drought management. The most relevant use of Semantic Web in DSS, is in data analysis, as a means of making DSS more intelligent. There are initiatives to produce vocabularies and semantic repositories in the domain of agriculture. However, data and models are still isolated in specific domain repositories, and interoperability is still weak.IFIP Advances in Information and Communication Technology, vol. 506.Laboratorio de Investigación y Formación en Informática Avanzad

The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture

In this article, we discuss existing literature on DSS in agriculture, on DSS that use data available in the Semantic Web, and on Semantic Web initiatives focusing on agriculture information. Our goal is to assess the readiness of the Semantic Web as a platform to empower DSS that can keep risk and uncertainty in agriculture under control. Key agricultural activities targeted by DSS reported in literature are nutrient management, insect and pest management, land use and planning, environmental change and forecasting, and water and drought management. The most relevant use of Semantic Web in DSS, is in data analysis, as a means of making DSS more intelligent. There are initiatives to produce vocabularies and semantic repositories in the domain of agriculture. However, data and models are still isolated in specific domain repositories, and interoperability is still weak.IFIP Advances in Information and Communication Technology, vol. 506.Laboratorio de Investigación y Formación en Informática Avanzad

The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture

In this article, we discuss existing literature on DSS in agriculture, on DSS that use data available in the Semantic Web, and on Semantic Web initiatives focusing on agriculture information. Our goal is to assess the readiness of the Semantic Web as a platform to empower DSS that can keep risk and uncertainty in agriculture under control. Key agricultural activities targeted by DSS reported in literature are nutrient management, insect and pest management, land use and planning, environmental change and forecasting, and water and drought management. The most relevant use of Semantic Web in DSS, is in data analysis, as a means of making DSS more intelligent. There are initiatives to produce vocabularies and semantic repositories in the domain of agriculture. However, data and models are still isolated in specific domain repositories, and interoperability is still weak.IFIP Advances in Information and Communication Technology, vol. 506.Laboratorio de Investigación y Formación en Informática Avanzad

“Saco de canicas” como hallazgo radiológico del teratoma quístico maduro.

Mujer de 21 años sin antecedentes personales de interés que acude al Servicio de Urgencias por retención urinaria aguda y dolor abdominal en hipogastrio, evidenciándose en la exploración abdominal una masa palpable a dicho nivel. Analítica y sistemático de orina normales. Se le realiza sondaje vesical y se solicita Ecografía Abdominal Urgente que identifica dos formaciones pélvicas que contienen numerosas lesiones ecogénicas esféricas y una lesión quística compleja anexial izquierda. Se realiza Resonancia Magnética Nuclear para mayor caracterización, objetivándose gran lesión quística multiloculada presacra (27 cm x12 cm) que ocupa la práctica totalidad de la pelvis causando efecto masa comprimiendo las estructuras adyacentes sin clara dependencia lesional