ANEMIA IN SEVER HEART FAILURE PATIENTS-DOES IT PREDICT PROGNOSIS
Author(s)
Abegaz TM1, Abebe TB1, Gebreyohans EA1, Bhagavathula AS1, Tefera YG2
1University of Gondar, Gondar, Ethiopia, 2University of Gondar, City, Ethiopia
OBJECTIVES: The prevalence, clinical impact and prognostic factor of anemia in Heart Failure (HF) patients widely varies. The aim of this study was to evaluate the prevalence of anemia in patients with HF, to compare baseline clinical characteristic and outcomes of severe HF patients with and without anemia in north Ethiopia. METHODS: A retrospective cohort study was conducted and we assessed medical records of HF patients who were admitted at Gondar University Hospital in the period between December 02, 2010 and November 30, 2016. Kaplan Meier curve was used to analyze the survival status and log rank test was used to compare the curves. Multivariate Cox regression was used to analyze independent predictors of mortality in all HF patients. P value less than 0.05 was considered statistically significant. RESULTS: Three hundred and seventy patients participated in the study. The prevalence of anemia in the study cohorts was 41.90%. There was a significant difference in the level of hemoglobin, creatinine, and sodium among anemic and non-anemic patients. Kaplan Meier survival curves and Log rank test (P = 0.042) showed a significant difference in the prognosis of HF patients with anemia and non – anemic. More significant difference was observed (Log rank test, P = 0.001) in the study participants based on hemoglobin level. Furthermore, multivariate Cox regression showed: advanced age, levels of lower sodium and higher creatinine, and absences of medications independently predicted overall mortality. CONCLUSIONS: HF patients with anemia tend to be older age, had lower hemoglobin and sodium level and higher creatinine value. Moreover, there was a significant difference in the prognosis between study cohorts, as anemic patients tend to have a worse survival status. Even though, anemia is a significant risk marker, it is not an independent predictor of mortality in the current study.
Conference/Value in Health Info
2018-05, ISPOR 2018, Baltimore, MD, USA
Value in Health, Vol. 21, S1 (May 2018)
Code
PCV10
Topic
Clinical Outcomes, Epidemiology & Public Health
Topic Subcategory
Relating Intermediate to Long-term Outcomes
Disease
Cardiovascular Disorders