Red cell distribution width improves the simplified acute physiology score for risk prediction in unselected critically ill patients. Hunziker, S., Celi, L. A., Lee, J., & Howell, M. D. Critical Care (London, England), 16(3):R89, May, 2012. doi abstract bibtex 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 \textless 0.0001), ICU mortality (1.10 (1.06 to 1.15), P \textless 0.0001), and 1-year mortality (1.20 (95% CI, 1.14 to 1.26); P \textless 0.001). Adding RDW to SAPS significantly improved the AUC from 0.746 to 0.774 (P \textless 0.001) for in-hospital mortality and 0.793 to 0.805 (P \textless 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.
@article{hunziker_red_2012,
title = {Red cell distribution width improves the simplified acute physiology score for risk prediction in unselected critically ill patients},
volume = {16},
issn = {1466-609X},
doi = {10.1186/cc11351},
abstract = {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 {\textless} 0.0001), ICU mortality (1.10 (1.06 to 1.15), P {\textless} 0.0001), and 1-year mortality (1.20 (95\% CI, 1.14 to 1.26); P {\textless} 0.001). Adding RDW to SAPS significantly improved the AUC from 0.746 to 0.774 (P {\textless} 0.001) for in-hospital mortality and 0.793 to 0.805 (P {\textless} 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.},
language = {eng},
number = {3},
journal = {Critical Care (London, England)},
author = {Hunziker, Sabina and Celi, Leo A. and Lee, Joon and Howell, Michael D.},
month = may,
year = {2012},
pmid = {22607685},
pmcid = {PMC3580634},
keywords = {Aged, Cohort Studies, Critical Illness, Erythrocyte Indices, Female, Humans, Intensive Care Units, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Retrospective Studies, Risk Factors},
pages = {R89}
}
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D."],"year":2012,"bibtype":"article","biburl":"https://api.zotero.org/groups/917610/items?key=5Tpdn4Dba9sBkYSJL5LXwhhi&format=bibtex&limit=100","bibdata":{"bibtype":"article","type":"article","title":"Red cell distribution width improves the simplified acute physiology score for risk prediction in unselected critically ill patients","volume":"16","issn":"1466-609X","doi":"10.1186/cc11351","abstract":"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 \\textless 0.0001), ICU mortality (1.10 (1.06 to 1.15), P \\textless 0.0001), and 1-year mortality (1.20 (95% CI, 1.14 to 1.26); P \\textless 0.001). Adding RDW to SAPS significantly improved the AUC from 0.746 to 0.774 (P \\textless 0.001) for in-hospital mortality and 0.793 to 0.805 (P \\textless 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.","language":"eng","number":"3","journal":"Critical Care (London, England)","author":[{"propositions":[],"lastnames":["Hunziker"],"firstnames":["Sabina"],"suffixes":[]},{"propositions":[],"lastnames":["Celi"],"firstnames":["Leo","A."],"suffixes":[]},{"propositions":[],"lastnames":["Lee"],"firstnames":["Joon"],"suffixes":[]},{"propositions":[],"lastnames":["Howell"],"firstnames":["Michael","D."],"suffixes":[]}],"month":"May","year":"2012","pmid":"22607685","pmcid":"PMC3580634","keywords":"Aged, Cohort Studies, Critical Illness, Erythrocyte Indices, Female, Humans, Intensive Care Units, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Retrospective Studies, Risk Factors","pages":"R89","bibtex":"@article{hunziker_red_2012,\n\ttitle = {Red cell distribution width improves the simplified acute physiology score for risk prediction in unselected critically ill patients},\n\tvolume = {16},\n\tissn = {1466-609X},\n\tdoi = {10.1186/cc11351},\n\tabstract = {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.\nMETHODS: 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.\nRESULTS: 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 {\\textless} 0.0001), ICU mortality (1.10 (1.06 to 1.15), P {\\textless} 0.0001), and 1-year mortality (1.20 (95\\% CI, 1.14 to 1.26); P {\\textless} 0.001). Adding RDW to SAPS significantly improved the AUC from 0.746 to 0.774 (P {\\textless} 0.001) for in-hospital mortality and 0.793 to 0.805 (P {\\textless} 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.\nCONCLUSIONS: RDW is a promising independent short- and long-term prognostic marker in ICU patients and significantly improves risk stratification of SAPS. 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