Aim: Our objective in this study was to investigate the association between the variables: age, diabetes mellitus, ejection fraction, Hypertension and the outcome (mortality) in patients with heart failure and identify which of these are significant predictors of mortality.

Methodology: This study investigated clinical predictors of mortality in patients with heart failure (reduced or preserved ejection fraction) using a retrospective dataset containing records for 299 patients from Pakistan. The mean age was 60.8 years, and 32% of patients experienced a death event. A multivariable logistic regression model was fitted to identify significant predictors of mortality, holding other independent variables included in the model fixed.

Results: A multivariable logistic regression analysis revealed that age and ejection fraction were significant predictors of mortality. Increasing age was associated with higher odds of a death event (OR = 1.061, 95% CI [1.04–1.09], p < 0.001), holding other independent variables in the model fixed. Conversely, log-transformed ejection fraction was strongly protective, with each unit increase significantly reducing the odds of death (OR = 0.07, 95% CI [0.03–0.17], p < 0.001), holding other independent variables in the model fixed. Hypertension with p = 0.266 and diabetes mellitus (p = 0.462) were not statistically significant predictors of heart failure in this regression model.

Conclusion: The outcome of this study shows that age and ejection fraction are significant predictors of mortality in patients with heart failure (reduced or preserved ejection fraction). These findings underscore the importance of considering these clinical parameters for risk stratification in patient management