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20 results on '"Álvarez Manzanares, Jesús"'

1. Decalogue to promote the implementation and improvement of recommendations for the early diagnosis of HIV in Emergency Departments

Author

González del Castillo, Juan, Perez Elias, Maria Jesus, Miguens, Iría, Espinosa, Begoña, Juárez, Ricardo, Piedrafita Lozoya, Lourdes, Trenc, Patricia, Alvarez Manzanares, Jesús, Marchena, María José, Rodríguez, Raquel, Cabrera, Nayra, Grajal, Pilar, Navarro, Carmen, Piñera, Pascual, García, Federico, Moreno, Santiago, and Miro, Oscar

Published
2024
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2. Decálogo para promover la implementación y mejora de las recomendaciones para el diagnóstico temprano del VIH en los servicios de urgencias

Author

González del Castillo, Juan, Perez Elias, Maria Jesus, Miguens, Iría, Espinosa, Begoña, Juárez, Ricardo, Piedrafita Lozoya, Lourdes, Trenc, Patricia, Alvarez Manzanares, Jesus, Marchena, María José, Rodríguez, Raquel, Cabrera, Nayra, Grajal, Pilar, Navarro, Carmen, Piñera, Pascual, García, Federico, Moreno, Santiago, and Miro, Oscar

Published
2024
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3. Validation of a predictive model for bacteraemia (MPB5-Toledo) in the patients seen in emergency departments due to infections

Author

Julián-Jiménez, Agustín, García-Lamberechts, Eric Jorge, González del Castillo, Juan, Navarro Bustos, Carmen, Llopis-Roca, Ferrán, Martínez-Ortiz de Zarate, Mikel, Salmerón, Pascual Piñera, Guardiola Tey, Josep María, Álvarez-Manzanares, Jesús, Rio, Julio Javier Gamazo-Del, Sanz, Itziar Huarte, Díaz, Rafael Rubio, Alonso, Marta Álvarez, Ordoñez, Begoña Mora, López, Oscar Álvarez, Romero, María del Mar Ortega, and Candel González, Francisco Javier

Published
2022
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4. Validación del modelo predictivo de bacteriemia (5MPB-Toledo) en los pacientes atendidos en el servicio de urgencias por infección

Author

Julián-Jiménez, Agustín, García-Lamberechts, Eric Jorge, González del Castillo, Juan, Navarro Bustos, Carmen, Llopis-Roca, Ferrán, Martínez-Ortiz de Zarate, Mikel, Piñera Salmerón, Pascual, Guardiola Tey, Josep María, Álvarez-Manzanares, Jesús, Gamazo-Del Rio, Julio Javier, Huarte Sanz, Itziar, Rubio Díaz, Rafael, Álvarez Alonso, Marta, Mora Ordoñez, Begoña, Álvarez López, Oscar, Ortega Romero, María del Mar, and Candel González, Francisco Javier

Published
2022
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5. A bacteraemia risk prediction model: development and validation in an emergency medicine population

Author

Julián-Jiménez, Agustín, González del Castillo, Juan, García-Lamberechts, Eric Jorge, Huarte Sanz, Itziar, Navarro Bustos, Carmen, Rubio Díaz, Rafael, Guardiola Tey, Josep María, Llopis-Roca, Ferrán, Piñera Salmerón, Pascual, de Martín-Ortiz de Zarate, Mikel, Álvarez-Manzanares, Jesús, Gamazo-Del Rio, Julio Javier, Álvarez Alonso, Marta, Mora Ordoñez, Begoña, Álvarez López, Oscar, Ortega Romero, María del Mar, Sousa Reviriego, María del Mar, Perales Pardo, Ramón, Villena García del Real, Henrique, Marchena González, María José, Ferreras Amez, José María, González Martínez, Félix, Martín-Sánchez, Francisco Javier, Beneyto Martín, Pedro, Candel González, Francisco Javier, and Díaz-Honrubia, Antonio Jesús

Published
2022
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6. Synergistic impact of N-antigenemia profiled by a rapid antigen test and low anti-S1 antibodies on the risk of hospitalization in COVID-19

Author

Fuente, Amanda de la, primary, Postigo, Tamara, additional, Ferri, Francisco Sanus, additional, Domínguez-Gil, Marta, additional, Álvarez-Manzanares, Jesús, additional, Eiros, Jose María, additional, Rodríguez, Virginia Carbajosa, additional, Ramon, Susana Sanchez, additional, Ortega, Alicia, additional, Millán, Laura N. Fadrique, additional, Vaquero-Roncero, Luis Mario, additional, Esteban-Velasco, Carmen, additional, Navarro-Matías, Elena, additional, Barbé, Ferran, additional, Bermejo-Martin, Jesús F, additional, and Lopez-Izquierdo, Raul, additional

Published
2024
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9. Synergistic impact of N-antigenemia profiled by a rapid antigen test and low anti-S1 antibodies on the risk of hospitalization in COVID-19

Author

de la Fuente, Amanda, Postigo, Tamara, Sanus Ferri, Francisco, Domínguez-Gil, Marta, Álvarez-Manzanares, Jesús, Eiros, Jose María, Carbajosa Rodríguez, Virginia, Sanchez Ramon, Susana, Ortega, Alicia, Fadrique Millán, Laura N., Vaquero-Roncero, Luis Mario, Esteban-Velasco, Carmen, Navarro-Matías, Elena, Barbé, Ferran, Bermejo-Martin, Jesús F., and Lopez-Izquierdo, Raul

Published
2024
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10. Utilidad del modelo 5MPB-Toledo para predecir bacteriemia en el paciente anciano

Author

Julián-Jiménez, Agustín, primary, García-Lamberechts, Eric Jorge, additional, González del Castillo, Juan, additional, Rubio Díaz, Rafael, additional, Huarte Sanz, Itziar, additional, Navarro Bustos, Carmen, additional, Guardiola Tey, Josep María, additional, Perales Pardo, Ramón, additional, Llopis-Roca, Ferrán, additional, Piñera Salmerón, Pascual, additional, Martínez-Ortiz de Zarate, Mikel, additional, Álvarez-Manzanares, Jesús, additional, Gamazo-Del Rio, Julio Javier, additional, Álvarez López, Oscar, additional, Ferreras Amez, José María, additional, Sousa Reviriego, María del Mar, additional, Martín-Sánchez, Francisco Javier, additional, Beneyto Martín, Pedro, additional, and Candel González, Francisco Javier, additional

Published
2021
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11. Socio-Demographic Health Determinants Are Associated with Poor Prognosis in Spanish Patients Hospitalized with COVID-19

Author

Ministerio de Economía y Competitividad (España), Martín-Sánchez, F. Javier, Valls Carbó, Adrián, Miró, Oscar, Llorens, Pere, Jiménez, Sonia, Piñera, Pascual, Burillo-Putze, Guillermo, Martín, Alfonso, García-Lamberechts, Jorge E., Jacob, Javier, Alquézar, Aitor, Martínez-Valero, Carmen, Miranda, Juan de D., López Picado, Amanda, Arrebola, Juan Pedro, Esteban López, Marta, Parviainen, Annika, González del Castillo, Juan, Ferreras Amez, José María, Rubio Díaz, Rafael, Gamazo del Rio, Julio Javier, Alonso, Héctor, Herrero-Gómez, P., Ruiz de Lobera, Noemí, Ibero, Carlos, Mayan, Plácido, Peinado, Rosario, Navarro Bustos, Carmen, Álvarez Manzanares, Jesús, Román, Francisco, Bibiano, Carlos, Ministerio de Economía y Competitividad (España), Martín-Sánchez, F. Javier, Valls Carbó, Adrián, Miró, Oscar, Llorens, Pere, Jiménez, Sonia, Piñera, Pascual, Burillo-Putze, Guillermo, Martín, Alfonso, García-Lamberechts, Jorge E., Jacob, Javier, Alquézar, Aitor, Martínez-Valero, Carmen, Miranda, Juan de D., López Picado, Amanda, Arrebola, Juan Pedro, Esteban López, Marta, Parviainen, Annika, González del Castillo, Juan, Ferreras Amez, José María, Rubio Díaz, Rafael, Gamazo del Rio, Julio Javier, Alonso, Héctor, Herrero-Gómez, P., Ruiz de Lobera, Noemí, Ibero, Carlos, Mayan, Plácido, Peinado, Rosario, Navarro Bustos, Carmen, Álvarez Manzanares, Jesús, Román, Francisco, and Bibiano, Carlos

Abstract

Introduction Social vulnerability is a known determinant of health in respiratory diseases. Our aim was to identify whether there are socio-demographic factors among COVID-19 patients hospitalized in Spain and their potential impact on health outcomes during the hospitalization. Methods A multicentric retrospective case series study based on administrative databases that included all COVID-19 cases admitted in 19 Spanish hospitals from 1 March to 15 April 2020. Socio-demographic data were collected. Outcomes were critical care admission and in-hospital mortality. Results We included 10,110 COVID-19 patients admitted to 18 Spanish hospitals (median age 68 (IQR 54–80) years old; 44.5% female; 14.8% were not born in Spain). Among these, 779 (7.7%) cases were admitted to critical care units and 1678 (16.6%) patients died during the hospitalization. Age, male gender, being immigrant, and low hospital saturation were independently associated with being admitted to an intensive care unit. Age, male gender, being immigrant, percentile of average per capita income, and hospital experience were independently associated with in-hospital mortality. Conclusions Social determinants such as residence in low-income areas and being born in Latin American countries were associated with increased odds of being admitted to an intensive care unit and of in-hospital mortality. There was considerable variation in outcomes between different Spanish centers.

Published
2021

12. Valoración de escalas de gravedad en pacientes incluidos en un código sepsis en un servicio de urgencias hospitalario

Author

Redondo-González, Alberto, Varela-Patiño, María, Álvarez-Manzanares, Jesús, Oliva-Ramos, José Ramón, López-Izquierdo, Raúl, Ramos-Sánchez, Carmen, and Eiros, José María

Subjects
Adult, Male, Emergency Medical Services, Adolescent, Original, Multiple Organ Failure, departamento de urgencias, Severity of Illness Index, scores, Young Adult, Emergency departament, Predictive Value of Tests, Sepsis, Humans, Hospital Mortality, Aged, Retrospective Studies, Aged, 80 and over, Hemodynamics, Middle Aged, escalas, Prognosis, pronóstico, ROC Curve, Female, Emergency Service, Hospital
Abstract

RESUMEN Objetivos El objetivo del estudio es determinar la utilidad de las escalas SOFA (Sequential Organ Failure Assessment), quick SOFA (qSOFA), LODS (Logistic Organ Dysfunction System) y EWS (Early Warning Score) para predecir mortalidad intrahospitalaria entre los pacientes sépticos atendidos en un servicio de urgencias hospitalario. Evaluar los factores de riesgo asociados con la mortalidad y desarrollar un modelo predictivo de la mortalidad intrahospitalaria. Material y métodos Estudio, descriptivo, retrospectivo en el que se analizaron los pacientes mayores de 14 años incluidos en el código sepsis del servicio de urgencias de un hospital universitario entre noviembre del 2013 y septiembre del 2015. Se analizaron variables demográficas, hemodinámicas y analíticas, y la mortalidad intrahospitalaria para calcular los resultados de las escalas qSOFA, SOFA, LODS y EWS. Se calculó el área bajo la curva (ABC) de la característica operativa del receptor (COR) de cada una de las escalas. Se utilizó la regresión logística para evaluar la probabilidad de la mortalidad intrahospitalaria. Resultados Se analizaron 349 pacientes, edad mediana 72,7 (rango 86), varones: 54,4%. La mortalidad intrahospitalaria fue del 21.8%. ABC obtenidas: LODS: 0,73 (IC95% 0,67-0,80; p

Published
2018

15. A multidrug-resistant microorganism infection risk prediction model: development and validation in an emergency medicine population.

Author

González del Castillo, Juan, Julián-Jiménez, Agustín, Gamazo-Del Rio, Julio Javier, García-Lamberechts, Eric Jorge, Llopis-Roca, Ferrán, Guardiola Tey, Josep María, Martínez-Ortiz de Zarate, Mikel, Navarro Bustos, Carmen, Piñera Salmerón, Pascual, Álvarez-Manzanares, Jesús, Ortega Romero, María del Mar, Ruiz Grinspan, Martin, García Gutiérrez, Susana, Martín-Sánchez, Francisco Javier, and Candel González, Francisco Javier

Subjects
DEATH forecasting, EMERGENCY medicine, CLINICAL prediction rules, MODEL validation, PREDICTION models, COMMUNICABLE diseases
Abstract

The aim was to develop a predictive model of infection by multidrug-resistant microorganisms (MDRO). A national, retrospective cohort study was carried out including all patients attended for an infectious disease in 54 Spanish Emergency Departments (ED), in whom a microbiological isolation was available from a culture obtained during their attention in the ED. A MDRO infection prediction model was created in a derivation cohort using backward logistic regression. Those variables significant at p < 0.05 assigned an integer score proportional to the regression coefficient. The model was then internally validated by k-fold cross-validation and in the validation cohort. A total of 5460 patients were included; 1345 (24.6%) were considered to have a MDRO infection. Twelve independent risk factors were identified in the derivation cohort and were combined into an overall score, the ATM (assessment of threat for MDRO) score. The model achieved an area under the curve-receiver operating curve of 0.76 (CI 95% 0.74–0.78) in the derivation cohort and 0.72 (CI 95% 0.70–0.75) in the validation cohort (p = 0.0584). Patients were then split into 6 risk categories and had the following rates of risk: 7% (0–2 points), 16% (3–5 points), 24% (6–9 points), 33% (10–14 points), 47% (15–21 points), and 71% (> 21 points). Findings were similar in the validation cohort. Several patient-specific factors were independently associated with MDRO infection risk. When integrated into a clinical prediction rule, higher risk scores and risk classes were related to an increased risk for MDRO infection. This clinical prediction rule could be used by providers to identify patients at high risk and help to guide antibiotic strategy decisions, while accounting for clinical judgment. [ABSTRACT FROM AUTHOR]

Published
2020
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18. Validación del modelo predictivo de bacteriemia (5MPB-Toledo) en los pacientes atendidos en el servicio de urgencias por infección

Author

Julián-Jiménez, Agustín, García-Lamberechts, Eric Jorge, González del Castillo, Juan, Navarro Bustos, Carmen, Llopis-Roca, Ferrán, Martínez-Ortiz de Zarate, Mikel, Piñera Salmerón, Pascual, Guardiola Tey, Josep María, Álvarez-Manzanares, Jesús, Gamazo-Del Rio, Julio Javier, Huarte Sanz, Itziar, Rubio Díaz, Rafael, Álvarez Alonso, Marta, Mora Ordoñez, Begoña, Álvarez López, Oscar, Ortega Romero, María del Mar, and Candel González, Francisco Javier

Abstract

Validar un modelo sencillo de riesgo para predecir bacteriemia (5MPB-Toledo) en los pacientes atendidos en los servicios de urgencias hospitalarios (SUH) por un episodio de infección.

Published
2021
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20. Long-term risk of death in patients with infection attended by prehospital emergency services.

Author

Melero Guijarro L, Martín-Rodríguez F, Álvarez Manzanares J, Del Pozo Vegas C, Sanz García A, Castro Villamor MÁ, and López-Izquierdo R

Subjects
Ambulances, Adult, Prospective Studies, Humans, Lactic Acid, Spain, European People, Sepsis diagnosis, Emergency Medical Services
Abstract

Objectives: To develop and validate a risk model for 1-year mortality based on variables available from early prehospital emergency attendance of patients with infection., Material and Methods: Prospective, observational, noninterventional multicenter study in adults with suspected infection transferred to 4 Spanish hospitals by advanced life-support ambulances from June 1, 2020, through June 30, 2022. We collected demographic, physiological, clinical, and analytical data. Cox regression analysis was used to develop and validate a risk model for 1-year mortality., Results: Four hundred ten patients were enrolled (development cohort, 287; validation cohort, 123). Cumulative mortality was 49% overall. Sepsis (infection plus a Sepsis-related Organ Failure Assessment score of 2 or higher) was diagnosed in 29.2% of survivors vs 56.7% of nonsurvivors. The risk model achieved an area under the receiver operating characteristic curve of 0.89 for 1-year mortality. The following predictors were included in the model: age; institutionalization; age-adjusted Charlson comorbidity index; PaCO2; potassium, lactate, urea nitrogen, and creatinine levels; fraction of inspired oxygen; and diagnosed sepsis., Conclusion: The model showed excellent ability to predict 1-year mortality based on epidemiological, analytical, and clinical variables, identifying patients at high risk of death soon after their first contact with the health care system.

Published
2024
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