21 June 2016 : Clinical Research
Predictive Values of Red Blood Cell Distribution Width in Assessing Severity of Chronic Heart Failure
Sen LiuBCDE, Ping WangBCDE, Ping-Ping ShenBCDE, Jian-Hua ZhouAEDOI: 10.12659/MSM.898103
Med Sci Monit 2016; 22:2119-2125
Abstract
BACKGROUND: This retrospective study was performed to evaluate the value of baseline red blood cell distribution width (RDW) for predicting the severity of chronic heart failure (CHF) compared with N-terminal prohormone brain natriuretic peptide (NT-ProBNP) and other hematological and biochemical parameters.
MATERIAL AND METHODS: Hematological and biochemical parameters were obtained from 179 patients with New York Heart Association (NYHA) CHF class I (n=44), II (n=39), III (n=41), and IV (n=55). Receiver operator characteristic (ROC) curves were used for assessing predictive values.
RESULTS: RDW increased significantly in class III and IV compared with class I (14.3±2.3% and 14.3±1.7% vs. 12.9±0.8%, P<0.01). Areas under ROCs (AUCs) of RDW and NT-ProBNP for class IV HF were 0.817 and 0.840, respectively. RDW was markedly elevated in the mortality group compared with the survival group (13.7±1.7 vs. 15.8±1.8, P<0.01). The predictive value of RDW was lower than that of NT-ProBNP but was comparable to white blood cell (WBC), neutrophil (NEU), lymphocyte (L), and neutrophil/lymphocyte ratio (N/L) for mortality during hospitalization, with AUCs of 0.837, 0.939, 0.858, 0.891, 0.885, and 0.885, respectively. RDW and NT-proBNP showed low predictive values for repeated admission (≥3). RDW was an independent risk factor for mortality (OR=2.531, 95% CI: 1.371–4.671).
CONCLUSIONS: RDW increased significantly in class III and IV patients and in the mortality group. The predictive value of RDW is comparable to NT-proBNP for class IV and lower than that of NT-proBNP for mortality. Elevated RDW is an independent risk factor for mortality.
Keywords: Chronic Disease, Erythrocyte Count - methods, Erythrocyte Indices - physiology, Heart Failure - pathology, Natriuretic Peptide, Brain - blood, Peptide Fragments - blood, Predictive Value of Tests, ROC Curve, Risk Factors
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