Structural Model of Biomedical and Contextual Factors Predicting In-Hospital Mortality due to Heart Failure
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García Torrecillas, Juan Manuel; Lea-Pereira, María Carmen; Alonso Morillejo, Enrique; Moreno Millán, Emilio; Fuente Arias, Jesús de laFecha
2023-07-14Resumen
Background: Among the clinical predictors of a heart failure (HF) prognosis, different personal factors have been established in previous research, mainly age, gender, anemia, renal insufficiency 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 Committee of the province of Almeria. Results: A total of 529,606 subjects participated, through databases of the Spanish National Health System. A predictive model was constructed using correlation analysis (SPSS 24.0) and structural equation models (SEM) analysis (AMOS 20.0)...
Palabra/s clave
epidemiología
estructura hospitalaria
fallo cardíaco
modelo organizativo-individual