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dc.contributor.authorHunzike, Sabina
dc.contributor.authorCeli, Leo Anthony G.
dc.contributor.authorLee, Joon
dc.contributor.authorHowell, Michael D.
dc.date.accessioned2012-07-26T20:26:43Z
dc.date.available2012-07-26T20:26:43Z
dc.date.issued2012-05
dc.date.submitted2012-04
dc.identifier.issn1364-8535
dc.identifier.issn1875-7081
dc.identifier.urihttp://hdl.handle.net/1721.1/71857
dc.description.abstractIntroduction: 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.en_US
dc.description.sponsorshipSwiss National Science Foundation (SNF PBBSP3-128266)en_US
dc.description.sponsorshipUniversität Baselen_US
dc.description.sponsorshipNational Institute of Biomedical Imaging and Bioengineering (U.S.) (grant R01 EB001659)en_US
dc.description.sponsorshipRobert Wood Johnson Foundation (Physician Faculty Scholars program, grant 66350)en_US
dc.publisherBioMed Central Ltd.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/cc11351en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.0en_US
dc.sourceBioMed Central Ltden_US
dc.titleRed cell distribution width improves the simplified acute physiology score for risk prediction in unselected critically ill patientsen_US
dc.typeArticleen_US
dc.identifier.citationHunziker, Sabina et al. “Red Cell Distribution Width Improves the Simplified Acute Physiology Score for Risk Prediction in Unselected Critically Ill Patients.” Critical Care 16.3 (2012): R89. Web.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.mitauthorCeli, Leo Anthony G.
dc.contributor.mitauthorLee, Joon
dc.relation.journalCritical Careen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2012-06-07T11:08:56Z
dc.language.rfc3066en
dc.rights.holderSabina Hunziker et al.; licensee BioMed Central Ltd.
dspace.orderedauthorsHunziker, Sabina; Celi, Leo A; Lee, Joon; Howell, Michael Den
dc.identifier.orcidhttps://orcid.org/0000-0001-8593-9321
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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