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 8.4-15.2 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 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.
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 8.4-15.2 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 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.
Authors: William E Kraus; Christopher B Granger; Michael H Sketch; Mark P Donahue; Geoffrey S Ginsburg; Elizabeth R Hauser; Carol Haynes; L Kristin Newby; Melissa Hurdle; Z Elaine Dowdy; Svati H Shah Journal: J Cardiovasc Transl Res Date: 2015-08-14 Impact factor: 4.132
Authors: Benjamin D Horne; Joseph B Muhlestein; Sterling T Bennett; Joseph Boone Muhlestein; Kurt R Jensen; Diane Marshall; Tami L Bair; Heidi T May; John F Carlquist; Matthew Hegewald; Stacey Knight; Viet T Le; T Jared Bunch; Donald L Lappé; Jeffrey L Anderson; Kirk U Knowlton Journal: JCI Insight Date: 2018-07-26
Authors: Barış Güngör; Kazım Serhan Özcan; İzzet Erdinler; Ahmet Ekmekçi; Ahmet Taha Alper; Damirbek Osmonov; Nazmi Çalık; Sukru Akyuz; Ercan Toprak; Hale Yılmaz; Aydın Yıldırım; Osman Bolca Journal: J Thromb Thrombolysis Date: 2014-05 Impact factor: 2.300