Red cell distribution width, C-reactive protein, the complete blood count, and mortality in patients with coronary disease and a normal comparison population
JM Lappé, BD Horne, SH Shah, HT May… - Clinica chimica acta, 2011 - Elsevier
JM Lappé, BD Horne, SH Shah, HT May, JB Muhlestein, DL Lappé, AG Kfoury, JF Carlquist…
Clinica chimica acta, 2011•ElsevierBACKGROUND: Red cell distribution width (RDW) is associated with morbidity and mortality
in coronary artery disease (CAD), but the connection of RDW with chronic inflammation is
equivocal. METHODS: In 1,489 patients with CAD and 8.4–15.2 years of follow-up all-cause
mortality and RDW were studied using Cox regression. RDW and its associations with
inflammation, liver function, renal function, and body mass were assessed. A population of
449 normal (No-CAD) patients also was evaluated. RESULTS: RDW predicted all-cause …
in coronary artery disease (CAD), but the connection of RDW with chronic inflammation is
equivocal. METHODS: In 1,489 patients with CAD and 8.4–15.2 years of follow-up all-cause
mortality and RDW were studied using Cox regression. RDW and its associations with
inflammation, liver function, renal function, and body mass were assessed. A population of
449 normal (No-CAD) patients also was evaluated. RESULTS: RDW predicted all-cause …
BACKGROUND
Red cell distribution width (RDW) is associated with morbidity and mortality in coronary artery disease (CAD), but the connection of RDW with chronic inflammation is equivocal.
METHODS
In 1,489 patients with CAD and 8.4–15.2years of follow-up all-cause mortality and RDW were studied using Cox regression. RDW and its associations with inflammation, liver function, renal function, and body mass were assessed. A population of 449 normal (No-CAD) patients also was evaluated.
RESULTS
RDW predicted all-cause mortality in a step-wise manner (HR=1.37 per quintile; 95% CI=1.29, 1.46; p-trend<0.001). A significant but meaningless correlation between RDW and high-sensitivity C-reactive protein (hsCRP) was identified (r=0.181; p<0.001). With full adjustment, RDW remained significant (p-trend<0.001) and the strongest predictor of mortality among all factors included in the model. RDW also strongly predicted all-cause mortality in the normal control population (HR=1.33 per quintile, CI=1.15, 1.55; p-trend<0.001), but hsCRP did not predict mortality among normal controls.
CONCLUSIONS
RDW was associated with mortality in patients with CAD and may provide clinically useful prognostication. Although RDW was correlated with hsCRP, they were independent predictors of mortality. RDW has been incorporated into risk prediction tool using data from basic chemistries available at: http://intermountainhealthcare.org/IMRS.
Elsevier