RT info:eu-repo/semantics/doctoralThesis
T1 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.
A1 Melero Guijarro, Laura
A2 Universidad de Valladolid. Escuela de Doctorado
K1 Sepsis
K1 Biomarkers
K1 Sepsis
K1 Early warning scores
K1 Biomarcadores
K1 Escalas de alerta temprana
K1 32 Ciencias Médicas
AB 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.
YR 2025
FD 2025
LK https://uvadoc.uva.es/handle/10324/81912
UL https://uvadoc.uva.es/handle/10324/81912
LA spa
NO Escuela de Doctorado
DS UVaDOC
RD 21-ene-2026