Prognostic parameters of all-cause mortality in heart failure patients from ZOL Genk: a retrospective cohort study

Abstract

Background: In Belgium, 15.643 people are diagnosed with heart failure every year. Since heart failure is one of the leading causes of mortality, a clear vision on predictive parameters could be useful to optimize treatment and minimize mortality. Method: Data was extracted from patient files in ZOL Genk. Sex, age, weight, length, BMI, systolic blood pressure, diastolic blood pressure, HbA1c, HDL, LDL, triglycerides, NT-proBNP, diastolic dysfunction, NYHA class, smoking habits, comorbidities, cardiac history, presence of a device and in-hospital rehabilitation were collected and analyzed for predictive value of mortality one year after hospitalization. Results: Through univariate logistic regression, age, diastolic BP, systolic BP, diastolic dysfunction, weight, BMI and HFrEF were found as significant independent predictive parameters for mortality. In a multivariate regression model only diastolic BP remained a significant parameter. Discussion and conclusion: Most significant parameters from the study were not the most measured parameters at ZOL Genk. Future research on in-hospital rehabilitation is recommended to further establish its predictive value. Purpose of this study: The aim of this study was to verify the predictive value of established predictors, and in-hospital rehabilitation specifically, on mortality in ZOL Genk. A secondary aim of the study was to evaluate if these parameters are measured the most often in ZOL Genk.