Factors Influencing the Risk of Death among Patients with Heart Failure
Muzeyin Ahmed Berarti
Department of Statistics, Wolaita Sodo University, Ethiopia
Ayele Taye Goshu *
Department of Statistics, School of Mathematical and Statistical Sciences, Hawassa University, Ethiopia
*Author to whom correspondence should be addressed.
Abstract
The purpose of this study was to investigate the impact of risk factors on the death of patients with heart failure in a cohort of patients hospitalized with heart failure disease. In this paper we used chi-square tests with the aim of studying the relationship of each factor with survival. Generalized Additive Models (GAM), particularly Generalized Additive Logistic Regression Model, was used to examine the impact of risk factors on the death of patients with heart failure out of 263 patients considered in the analysis, 18.6% patients died of heart failure. A death proportion for female was 19.6% and that of male patients was 17.5%. From the GAM analysis the predictors: age, anemia, Tuberculosis, HIV status, renal inefficiency, diabetes, hypertension and sinus were found to significantly affect the death status of a patient. Being older age, anemic, renal inefficient, TB positive, HIV positive, diabetic, hypertensive and sinus positive increase the risk of death of a heart failure patient.
Keywords: Heart failure, generalized additive model, smoothing method, splines