Structural Model of Biomedical and Contextual Factors Predicting In-Hospital Mortality due to Heart Failure
Ficheros
Identificadores
Compartir
Metadatos
Mostrar el registro completo del ítemAutor
García-Torrecillas, Juan Manuel; Lea-Pereira, María Carmen; Alonso Morillejo, Enrique![Autoridad Universidad de Almería Autoridad Universidad de Almería](/themes/Mirage2/images/autoridades/autoridad.png)
![Autoridad Universidad de Almería Autoridad Universidad de Almería](/themes/Mirage2/images/autoridades/autoridad.png)
Fecha
2023-06-14Resumen
Background: Among the clinical predictors of a heart failure (HF) prognosis, different per sonal factors have been established in previous research, mainly age, gender, anemia, renal insuffi ciency and diabetes, as well as mediators (pulmonary embolism, hypertension, chronic obstructive
pulmonary disease (COPD), arrhythmias and dyslipidemia). We do not know the role played by
contextual and individual factors in the prediction of in-hospital mortality. Methods: The present
study has added hospital and management factors (year, type of hospital, length of stay, number of
diagnoses and procedures, and readmissions) in predicting exitus to establish a structural predictive
model. The project was approved by the Ethics Commi
Palabra/s clave
Epidemiologia
estructura Hospitalaria
fallo cardiaco
modelo organizativo-individual
mortalidad
enfermedades no infecciosas