Examinando por Autor "Vazquez-Gomez, Oscar"
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Ítem Differences in Trends in Admissions and Outcomes among Patients from a Secondary Hospital in Madrid during the COVID-19 Pandemic: A Hospital-Based Epidemiological Analysis (2020–2022)(MDPI, 2023-07-24) Garcia-Carretero, Rafael; Vazquez-Gomez, Oscar; Ordoñez-Garcia, Maria; Garrido-Peño, Noelia; Gil-Prieto, Ruth; Gil-de-Miguel, AngelÍtem Discriminating Bacterial Infection from Other Causes of Fever Using Body Temperature Entropy Analysis(MDPI, 2022-04-05) Vargas, Borja; Cuesta-Frau, David; Gonzalez-Lopez, Paula; Fernandez-Cotarelo, Maria-Jose; Vazquez-Gomez, Oscar; Colas, Ana; Varela, ManuelBody temperature is usually employed in clinical practice by strict binary thresholding, aiming to classify patients as having fever or not. In the last years, other approaches based on the continuous analysis of body temperature time series have emerged. These are not only based on absolute thresholds but also on patterns and temporal dynamics of these time series, thus providing promising tools for early diagnosis. The present study applies three time series entropy calculation methods (Slope Entropy, Approximate Entropy, and Sample Entropy) to body temperature records of patients with bacterial infections and other causes of fever in search of possible differences that could be exploited for automatic classification. In the comparative analysis, Slope Entropy proved to be a stable and robust method that could bring higher sensitivity to the realm of entropy tools applied in this context of clinical thermometry. This method was able to find statistically significant differences between the two classes analyzed in all experiments, with sensitivity and specificity above 70% in most cases.Ítem Hospitalization burden and epidemiology of the COVID-19 pandemic in Spain (2020-2021)(Springer Science and Business Media LLC, 2023-07-18) Garcia-Carretero, Rafael; Vazquez-Gomez, Oscar; Gil-Prieto, Ruth; Gil-de-Miguel, AngelBackground Spain had some of Europe’s highest incidence and mortality rates for coronavirus disease 2019 (COVID19). Here we describe the epidemiology and trends in hospitalizations, the number of critical patients, and deaths in Spain in 2020 and 2021. Methods We performed a descriptive, retrospective, nationwide study using an administrative database, the Minimum Basic Data Set at Hospitalization, which includes 95–97% of discharge reports for patients hospitalized in Spain in 2020 and 2021. We analyzed the number of hospitalizations, admissions to intensive care units, and deaths and their geographic distribution across regions of Spain. Results As of December 31, 2021, a total of 498,789 patients (1.04% of the entire Spanish population) had needed hospitalization. At least six waves of illness were identified. Men were more prone to hospitalization than women. The median age was 66. A total of 54,340 patients (10.9% of all hospitalizations) had been admitted to the intensive care unit. We identified 71,437 deaths (mortality rate of 14.3% among hospitalized patients). We also observed important differences among regions, with Madrid being the epicenter of hospitalizations and mortality. Conclusions We analyzed Spain’s response to COVID-19 and describe here its experiences during the pandemic in terms of hospitalizations, critical illness, and deaths. This research highlights changes over several months and waves and the importance of factors such as vaccination, the predominant variant of the virus, and public health interventions in the rise and fall of the outbreaks.Ítem Insulin resistance is a cardiovascular risk factor in hypertensive adults without type 2 diabetes mellitus(Springer Science and Business Media LLC, 2023-10-09) Garcia-Carretero, Rafael; Vazquez-Gomez, Oscar; Gil-Prieto, Ruth; Gil-de-Miguel, Angel