Red cell distribution width improves the simplified acute physiology score for risk prediction in unselected critically ill patients

Introduction: Recently, red cell distribution width (RDW), a measure of erythrocyte size variability, has been shown to be a prognostic marker in critical illness. The aim of this study was to investigate whether adding RDW has the potential to improve the prognostic performance of the simplified ac...

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Bibliographic Details
Main Authors: Hunzike, Sabina (Author), Celi, Leo Anthony G. (Contributor), Lee, Joon (Contributor), Howell, Michael D. (Author)
Other Authors: Harvard University- (Contributor)
Format: Article
Language:English
Published: BioMed Central Ltd., 2012-07-26T20:26:43Z.
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Online Access:Get fulltext
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042 |a dc 
100 1 0 |a Hunzike, Sabina  |e author 
100 1 0 |a Harvard University-  |e contributor 
100 1 0 |a Celi, Leo Anthony G.  |e contributor 
100 1 0 |a Lee, Joon  |e contributor 
700 1 0 |a Celi, Leo Anthony G.  |e author 
700 1 0 |a Lee, Joon  |e author 
700 1 0 |a Howell, Michael D.  |e author 
245 0 0 |a Red cell distribution width improves the simplified acute physiology score for risk prediction in unselected critically ill patients 
260 |b BioMed Central Ltd.,   |c 2012-07-26T20:26:43Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/71857 
520 |a Introduction: Recently, red cell distribution width (RDW), a measure of erythrocyte size variability, has been shown to be a prognostic marker in critical illness. The aim of this study was to investigate whether adding RDW has the potential to improve the prognostic performance of the simplified acute physiology score (SAPS) to predict short- and long-term mortality in an independent, large, and unselected population of intensive care unit (ICU) patients. Methods: This observational cohort study includes 17,922 ICU patients with available RDW measurements from different types of ICUs. We modeled the association between RDW and mortality by using multivariable logistic regression, adjusting for demographic factors, comorbidities, hematocrit, and severity of illness by using the SAPS. Results: ICU-, in-hospital-, and 1-year mortality rates in the 17,922 included patients were 7.6% (95% CI, 7.2 to 8.0), 11.2% (95% CI, 10.8 to 11.7), and 25.4% (95% CI, 24.8 to 26.1). RDW was significantly associated with in-hospital mortality (OR per 1% increase in RDW (95%CI)) (1.14 (1.08 to 1.19), P < 0.0001), ICU mortality (1.10 (1.06 to 1.15), P < 0.0001), and 1-year mortality (1.20 (95% CI, 1.14 to 1.26); P < 0.001). Adding RDW to SAPS significantly improved the AUC from 0.746 to 0.774 (P < 0.001) for in-hospital mortality and 0.793 to 0.805 (P < 0.001) for ICU mortality. Significant improvements in classification of SAPS were confirmed in reclassification analyses. Subgroups demonstrated robust results for gender, age categories, SAPS categories, anemia, hematocrit categories, and renal failure. Conclusions: RDW is a promising independent short- and long-term prognostic marker in ICU patients and significantly improves risk stratification of SAPS. Further research is needed the better to understand the pathophysiology underlying these effects. 
520 |a Swiss National Science Foundation (SNF PBBSP3-128266) 
520 |a Universität Basel 
520 |a National Institute of Biomedical Imaging and Bioengineering (U.S.) (grant R01 EB001659) 
520 |a Robert Wood Johnson Foundation (Physician Faculty Scholars program, grant 66350) 
546 |a en 
655 7 |a Article 
773 |t Critical Care