Machine Learning-Based Mortality Prediction in Chronic Kidney Disease among Heart Failure Patients: Insights and Outcomes from the Jordanian Heart Failure Registry.

Heart failure (HF) is a prevalent and debilitating condition that imposes a significant burden on healthcare systems and adversely affects the quality of life of patients worldwide. Comorbidities such as chronic kidney disease (CKD), arterial hypertension, and diabetes mellitus (DM) are common among HF patients, as they share similar risk factors. This study aimed to identify the prognostic significance of multiple factors and their correlation with disease prognosis and outcomes in a Jordanian cohort.

Knowledge of cardiovascular disease risk factors among caregivers of cardiology patients attending Jordan University Hospital.

Cardiovascular disease (CVD) is an umbrella term that includes various pathologies involving the heart and the vasculature system of the body. CVD is the leading cause of death worldwide, accounting for an estimated 32% of all deaths. More than 40% of annual deaths in Jordan are due to CVD; this number is further expected to rise, particularly in the Eastern Mediterranean region where Jordan is located.