Structural Model of Biomedical and Contextual Factors Predicting In-Hospital Mortality due to Heart Failure

Abstract

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