Red cell distribution width as a novel prognostic marker in heart failure: data from the CHARM Program and the Duke Databank
- PMID: 17601544
- DOI: 10.1016/j.jacc.2007.02.067
Red cell distribution width as a novel prognostic marker in heart failure: data from the CHARM Program and the Duke Databank
Abstract
Objectives: The goal of this study was to identify potentially novel laboratory markers of risk in chronic heart failure patients.
Background: Although a variety of prognostic markers have been described in heart failure, a systematic assessment of routine laboratory values has not been reported.
Methods: All 2,679 symptomatic chronic heart failure patients from the North American CHARM (Candesartan in Heart Failure: Assessment of Reduction in Mortality and Morbidity) program had a wide range of laboratory measures performed at a core facility, enabling us to assess the relationship between routine blood tests and outcomes using a Cox proportional hazards model. We then replicated our findings in a cohort of 2,140 heart failure patients from the Duke Databank.
Results: Among 36 laboratory values considered in the CHARM program, higher red cell distribution width (RDW) showed the greatest association with morbidity and mortality (adjusted hazard ratio 1.17 per 1-SD increase, p < 0.001). Higher RDW was among the most powerful overall predictors, with only age and cardiomegaly showing a better independent association with outcome. This finding was replicated in the Duke Databank, in which higher RDW was strongly associated with all-cause mortality (adjusted hazard ratio 1.29 per 1 SD, p < 0.001), second only to age as a predictor of outcome.
Conclusions: In 2 large contemporary heart failure populations, RDW was found to be a very strong independent predictor of morbidity and mortality. Understanding how and why this marker is associated with outcome may provide novel insights into heart failure pathophysiology.
Comment in
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The Prognostic Value of Red Blood Cell Distribution Width in Patients on Maintenance Hemodialysis.Blood Purif. 2016;42(4):314-321. doi: 10.1159/000449421. Epub 2016 Oct 6. Blood Purif. 2016. PMID: 27705977
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