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256 results on '"Garrido, J.M."'

23. Modelo matemático optimizado para la predicción y planificación de la asistencia sanitaria por la COVID-19

Author

Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada, Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària, GENERALITAT VALENCIANA, Fundación Ramón Areces, AGENCIA ESTATAL DE INVESTIGACION, Garrido, J.M., Martínez Rodríguez, David, Rodríguez-Serrano, F., Pérez-Villares, J.M., Ferreiro-Marzal, A., Jiménez-Quintana, M.M., Villanueva Micó, Rafael Jacinto, Grupo de Estudio COVID 19 Granada, Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada, Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària, GENERALITAT VALENCIANA, Fundación Ramón Areces, AGENCIA ESTATAL DE INVESTIGACION, Garrido, J.M., Martínez Rodríguez, David, Rodríguez-Serrano, F., Pérez-Villares, J.M., Ferreiro-Marzal, A., Jiménez-Quintana, M.M., Villanueva Micó, Rafael Jacinto, and Grupo de Estudio COVID 19 Granada

Abstract

[EN] Objective The COVID-19 pandemic has threatened to collapse hospital and ICU services, and it has affected the care programs for non-COVID patients. The objective was to develop a mathematical model designed to optimize predictions related to the need for hospitalization and ICU admission by COVID-19 patients. Design Prospective study. Setting Province of Granada (Spain). Population COVID-19 patients hospitalized, admitted to ICU, recovered and died from March 15 to September 22, 2020. Study variables The number of patients infected with SARS-CoV-2 and hospitalized or admitted to ICU for COVID-19. Results The data reported by hospitals was used to develop a mathematical model that reflects the flow of the population among the different interest groups in relation to COVID-19. This tool allows to analyse different scenarios based on socio-health restriction measures, and to forecast the number of people infected, hospitalized and admitted to the ICU. Conclusions The mathematical model is capable of providing predictions on the evolution of the COVID-19 sufficiently in advance as to anticipate the peaks of prevalence and hospital and ICU care demands, and also the appearance of periods in which the care for non-COVID patients could be intensified., [ES] Objetivo La pandemia de la COVID-19 ha supuesto una amenaza de colapso de los servicios hospitalarios y de unidades de cuidado intensivo (UCI), así como una reducción de la dinámica asistencial de pacientes afectados por otras patologías. El objetivo fue desarrollar un modelo matemático diseñado para optimizar las predicciones relacionadas con las necesidades de hospitalización e ingresos en UCI por la COVID-19. Diseño Estudio prospectivo. Ámbito Provincia de Granada (España). Pacientes Pacientes de COVID-19 hospitalizados, ingresados en UCI, recuperados y fallecidos desde el 15 de marzo hasta el 22 de septiembre del 2020. Intervenciones Desarrollo de un modelo matemático tipo susceptible, expuesto, infectado y recuperado (SEIR) capaz de predecir la evolución de la pandemia, considerando las medidas de salud pública establecidas. Variables de interés Número de pacientes infectados por SARS-CoV-2, hospitalizados e ingresados en UCI por la COVID-19. Resultados A partir de los datos registrados, hemos podido desarrollar un modelo matemático que refleja el flujo de la población entre los diferentes grupos de interés en relación con la COVID-19. Esta herramienta permite analizar diferentes escenarios basados en medidas de restricción socio-sanitarias y pronosticar el número de infectados, hospitalizados e ingresados en UCI. Conclusiones El modelo matemático es capaz de proporcionar predicciones sobre la evolución de la COVID-19 con suficiente antelación como para poder conjugar los picos de prevalencia y de necesidades de asistencia hospitalaria y de UCI, con la aparición de ventanas temporales que posibiliten la atención de enfermos no-COVID.

Published
2022

37. Clinical phenotypes of acute heart failure based on signs and symptoms of perfusion and congestion at emergency department presentation and their relationship with patient management and outcomes

Author

Javaloyes, P., Miro, O., Gil, V., Martin-Sanchez, F.J., Jacob, J., Herrero, P., Takagi, K., Alquezar-Arbe, A., Diez, M.P.L., Martin, E., Bibiano, C., Escoda, R., Gil, C., Fuentes, M., Garcia, G.L., Perez, J.M.A., Jerez, A., Tost, J., Llauger, L., Romero, R., Garrido, J.M., Rodriguez-Adrada, E., Sanchez, C., Rossello, X., Parissis, J., Mebazaa, A., Chioncel, O., Llorens, P., Alonso, H., Perez-Llantada, E., Cadenas, M.S., Xipell, C., Perez-Dura, M.J., Salvo, E., Pavon, J., Noval, A., Torres, J.M., Lopez-Grima, M.L., Valero, A., Juan, M.A., Aguirre, A., Pedragosa, M.A., Maso, S.M., Alonso, M.I., Ruiz, F., Franco, J.M., Mecina, A.B., Berenguer, M., Donea, R., Ramon, S.S., Rodriguez, V.C., Pinera, P., Nicolas, J.A.S., Garate, R.T., Rizzi, M.A., Herrera, S., Cabello, I., Haro, A., Richard, F., Alvarez, J.V., Garcia, B.P., Garcia, M.G., Gonzalez, M.S., Marquina, V., Jimenez, I., Hernandez, N., Brouzet, B., Espinosa, B., Andueza, J.A., Ruiz, M., Calvache, R., Serralta, M.T.L., Jave, L.E.C., Amores Arriaga, B., Bergua, B.S., Mojarro, E.M., Jimenez, B.S.A., Becquer, L.T., Burillo, G., Garcia, L.L., LaSalle, G.C., Urbano, C.A., Soto, A.B.G., Padial, E.D., Ferrer, E.S., Lucas-Imbernon, F.J., Gaya, R., Mir, M., Rodriguez, B., Carballo, J.L., and Miranda, B.R.

Subjects
Perfusion, Acute heart failure, Clinical profiles, Congestion, Emergency department, Perfusion, Clinical profiles, Emergency department, Congestion, Acute heart failure, humanities
Abstract

Objective To compare the clinical characteristics and outcomes of patients with acute heart failure (AHF) according to clinical profiles based on congestion and perfusion determined in the emergency department (ED). Methods and results Overall, 11 261 unselected AHF patients from 41 Spanish EDs were classified according to perfusion (normoperfusion = warm; hypoperfusion = cold) and congestion (not = dry; yes = wet). Baseline and decompensation characteristics were recorded as were the main wards to which patients were admitted. The primary outcome was 1-year all-cause mortality; secondary outcomes were need for hospitalisation during the index AHF event, in-hospital all-cause mortality, prolonged hospitalisation, 7-day post-discharge ED revisit for AHF and 30-day post-discharge rehospitalisation for AHF. A total of 8558 patients (76.0%) were warm+ wet, 1929 (17.1%) cold+ wet, 675 (6.0%) warm+ dry, and 99 (0.9%) cold+ dry; hypoperfused (cold) patients were more frequently admitted to intensive care units and geriatrics departments, and warm+ wet patients were discharged home without admission. The four phenotypes differed in most of the baseline and decompensation characteristics. The 1-year mortality was 30.8%, and compared to warm+ dry, the adjusted hazard ratios were significantly increased for cold+ wet (1.660; 95% confidence interval 1.400-1.968) and cold+ dry (1.672; 95% confidence interval 1.189-2.351). Hypoperfused (cold) phenotypes also showed higher rates of index episode hospitalisation and in-hospital mortality, while congestive (wet) phenotypes had a higher risk of prolonged hospitalisation but decreased risk of rehospitalisation. No differences were observed among phenotypes in ED revisit risk. Conclusions Bedside clinical evaluation of congestion and perfusion of AHF patients upon ED arrival and classification according to phenotypic profiles proposed by the latest European Society of Cardiology guidelines provide useful complementary information and help to rapidly predict patient outcomes shortly after ED patient arrival.

Published
2021

38. A surface plasmon resonance based approach for measuring response to pneumococcal vaccine

Author

Garrido-Jareño, M. (Marta), Puchades-Carrasco, L. (Leonor), Orti-Pérez, L. (Leticia), Sahuquillo-Arce, J.M. (José Miguel), Meyer-García, M.C. (María del Carmen), Mollar‑Maseres, J. (Joan), Lloret-Sos, C. (Carmina), Gil‑Brusola, A. (Ana), López-Hontangas, J.L. (José Luis), Beltrán-Garrido, J.M. (José Manuel), Pemán-García, J. (Javier), and Pineda-Lucena, A. (Antonio)

Subjects
Área de Biomedicina, education
Abstract

Incidence of pneumococcal disease has increased worldwide in recent years. Response to pneumococcal vaccine is usually measured using the multiserotype enzyme-linked immunosorbent assay (ELISA) pneumococcal test. However, this approach presents several limitations. Therefore, the introduction of new and more robust analytical approaches able to provide information on the efficacy of the pneumococcal vaccine would be very beneficial for the clinical management of patients. Surface plasmon resonance (SPR) has been shown to offer a valuable understanding of vaccines' properties over the last years. The aim of this study is to evaluate the reliability of SPR for the anti-pneumococcal capsular polysaccharides (anti-PnPs) IgGs quantification in vaccinated. Fast protein liquid chromatography (FPLC) was used for the isolation of total IgGs from serum samples of vaccinated patients. Binding-SPR assays were performed to study the interaction between anti-PnPs IgGs and PCV13. A robust correlation was found between serum levels of anti-PnPs IgGs, measured by ELISA, and the SPR signal. Moreover, it was possible to correctly classify patients into "non-responder", "responder" and "high-responder" groups according to their specific SPR PCV13 response profiles. SPR technology provides a valuable tool for reliably characterize the interaction between anti-PnPs IgGs and PCV13 in a very short experimental time.

Published
2021

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