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7 results on '"Gamazo del Rio, Julio Javier"'

1. 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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2. 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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3. Socio-Demographic Health Determinants Are Associated with Poor Prognosis in Spanish Patients Hospitalized with COVID-19

Author

Martín-Sánchez, F. Javier, Valls Carbó, Adrián, Miró, Òscar, Llorens, Pere, Jiménez, Sònia, 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, López, Marta Esteban, Parviainen, Annika, González del Castillo, Juan, Miró, Oscar, Jimenez, Sonia, Ferreras Amez, José María, Rubio Díaz, Rafael, Gamazo del Rio, Julio Javier, Alonso, Héctor, Herrero, Pablo, Ruiz de Lobera, Noemí, Ibero, Carlos, Mayan, Plácido, Peinado, Rosario, Navarro Bustos, Carmen, Manzanares, Jesús Álvarez, Román, Francisco, Piñera, Pascual, Burillo, Guillermo, Jacob, Javier, and Bibiano, Carlos

Published
2021
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4. 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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5. 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

6. 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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7. 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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