Predicción del riesgo de deterioro clínico en pacientes con infección en el entorno de las urgencias y emergencias: de los biomarcadores y escalas de alerta temprana a los modelos de riesgo.
Through the study of data collected at prehospital level such as some biomarkers, vital signs and analytical parameters and their application in early warning scales, a risk model has been designed that is able to predict long-term mortality (1 year) due to sepsis from the first contact of the patie...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universidad de Valladolid |
| Repositorio: | UVaDOC. Repositorio Documental de la Universidad de Valladolid |
| OAI Identifier: | oai:uvadoc.uva.es:10324/81912 |
| Acceso en línea: | https://doi.org/10.35376/10324/81912 https://uvadoc.uva.es/handle/10324/81912 |
| Access Level: | acceso abierto |
| Palabra clave: | Sepsis Biomarkers Early warning scores Biomarcadores Escalas de alerta temprana 32 Ciencias Médicas |
| Sumario: | Through the study of data collected at prehospital level such as some biomarkers, vital signs and analytical parameters and their application in early warning scales, a risk model has been designed that is able to predict long-term mortality (1 year) due to sepsis from the first contact of the patient with the health system. For this purpose, three observational, prospective, multicenter studies have been carried out in the emergency setting with data collected at the bedside and subsequently analyzed. In addition, some biomarkers and early warning scales such as NT-PproBNP , NEWS2, qSOFA and mSOFA have been compared in their role of detecting clinical deterioration in patients with suspected infection. |
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