Literature DB >> 35093953

Red Cell Distribution Width Is Independently Associated with Mortality in Sepsis.

Daniel Dankl1, Richard Rezar2, Behrooz Mamandipoor3, Zhichao Zhou4, Sarah Wernly5,6, Bernhard Wernly5,6, Venet Osmani3.   

Abstract

BACKGROUND: Mortality in sepsis remains high. Studies on small cohorts have shown that red cell distribution width (RDW) is associated with mortality. The aim of this study was to validate these findings in a large multicenter cohort.
METHODS: We conducted this retrospective analysis of the multicenter eICU Collaborative Research Database in 16,423 septic patients. We split the cohort in patients with low (≤15%; n = 7,129) and high (>15%; n = 9,294) RDW. Univariable and multivariable multilevel logistic regressions were used to fit regression models for the binary primary outcome of hospital mortality and the secondary outcome intensive care unit (ICU) mortality with hospital unit as random effect. Optimal cutoffs were calculated using the Youden index.
RESULTS: Patients with high RDW were more often older than 65 years (57% vs. 50%; p < 0.001) and had higher Acute Physiology and Chronic Health Evaluation (APACHE) IV scores (69 vs. 60 pts.; p < 0.001). Both hospital (adjusted odds ratios [aOR] 1.18; 95% CI: 1.16-1.20; p < 0.001) and ICU mortality (aOR 1.16; 95% CI: 1.14-1.18; p < 0.001) were associated with RDW as a continuous variable. Patients with high RDW had a higher hospital mortality (20 vs. 9%; aOR 2.63; 95% CI: 2.38-2.90; p < 0.001). This finding persisted after multivariable adjustment (aOR 2.14; 95% CI: 1.93-2.37; p < 0.001) in a multilevel logistic regression analysis. The optimal RDW cutoff for the prediction of hospital mortality was 16%.
CONCLUSION: We found an association of RDW with mortality in septic patients and propose an optimal cutoff value for risk stratification. In a combined model with lactate, RDW shows equivalent diagnostic performance to Sequential Organ Failure Assessment (SOFA) score and APACHE IV score.
© 2022 The Author(s). Published by S. Karger AG, Basel.

Entities:  

Keywords:  Intensive care; Red cell distribution width; Sepsis

Mesh:

Year:  2022        PMID: 35093953      PMCID: PMC9209973          DOI: 10.1159/000522261

Source DB:  PubMed          Journal:  Med Princ Pract        ISSN: 1011-7571            Impact factor:   2.132


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8.  Incidence, Risk Factors, and Attributable Mortality of Secondary Infections in the Intensive Care Unit After Admission for Sepsis.

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10.  The eICU Collaborative Research Database, a freely available multi-center database for critical care research.

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