Evidence map›Paper›PMID 40618111›Full record

ArticleEuropean journal of medical research2025

Red cell distribution width and clinical outcomes in sepsis patients infected with Escherichia coli using data from MIMIC-IV.

Kexiang Qin, Yingjie Su, Ning Ding

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Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Kexiang QinDepartment of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, NO. 161 Shaoshan South Road, Changsha, 410004, Hunan, China.
Yingjie Su *Department of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, NO. 161 Shaoshan South Road, Changsha, 410004, Hunan, China. doctorsuyingjie@sina.com.ORCID http://orcid.org/0000-0001-6566-8755
Ning Ding *Department of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, NO. 161 Shaoshan South Road, Changsha, 410004, Hunan, China. doctordingning@sina.com.ORCID http://orcid.org/0000-0001-7805-2191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis research investigates the correlation between red cell distribution width (RDW) and clinical outcomes in individuals suffering from sepsis due to Escherichia coli infections.

methodsThis study analyzed sepsis patients associated with Escherichia coli using the MIMIC-IV database. Various logistic regression models including non-adjusted model, Model I (adjusted for age and gender) and Model II (adjusted for including gender, age, vital signs, laboratory variables and comorbidities) were developed to assess the relationship between RDW and mortality rates at 60 days, 90 days, 180 days, and 1 year. The primary objective was to investigate the correlation between RDW and clinical outcomes in septic patients with Escherichia coli infections. Furthermore, the application of the receiver operating characteristic (ROC) curve demonstrated significant predictive capability in this analysis.

resultsA total of 420 patients diagnosed with sepsis due to Escherichia coli infection were analyzed. The observed mortality rates at 60 days, 90 days, 180 days, and 1 year were 12.14%, 13.57%, 15.24%, and 16.67%, respectively. After adjusting for all confounding variables, with per unit increasement in RDW, the risk for 60 days mortality increased by 27% (OR = 1.27, 95% CI 1.06-1.52, P = 0.0086), the risk for 90 days mortality increased by 31% (OR = 1.31,95% CI 1.10-1.56, P = 0.0024), the risk for 180 days mortality increased by 38% (OR = 1.38, 95% CI 1.16-1.64, P = 0.0002), and the risk for 1 year mortality increased by 37% (OR = 1.37, 95% CI 1.16-1.62, P = 0.0003). The area under the ROC curve (AUC) for mortality was found to be 0.652 at 60 days, 0.676 at 90 days, 0.671 at 180 days, and 0.674 at 1 year.

conclusionRDW can predict the clinical outcomes of patients with sepsis caused by Escherichia coli infection.

Indexed as

Erythrocyte IndicesEscherichia coliEscherichia coli InfectionsSepsisAgedFemaleHumansMaleMiddle AgedPrognosisROC CurveEscherichia coliInfectious diseasesMIMIC-IVRDWSepsis

Identifiers

PMID40618111
PMCPMC12228247

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