Evidence mapPaperPMID 41459337Full record

ArticleFrontiers in aging neuroscience2025

Associations between the red blood cell distribution width and 30-day mortality in critically ill patients with delirium: a retrospective study using the MIMIC-IV database.

Songmei Ma, Lin Lin, Shuwen Zheng, Zhenjing Liu, Li Kong, Haiyun Wang

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Article in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

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6 authors.

Songmei MaDepartment of Anesthesiology, The First People's Hospital of Shangqiu, Shangqiu, Henan, China.
Lin LinDepartment of Anesthesiology, The First People's Hospital of Shangqiu, Shangqiu, Henan, China.
Shuwen ZhengDepartment of Anesthesiology, The First People's Hospital of Shangqiu, Shangqiu, Henan, China.
Zhenjing LiuDepartment of Anesthesiology, The First People's Hospital of Shangqiu, Shangqiu, Henan, China.
Li KongDepartment of Anesthesiology, The First People's Hospital of Shangqiu, Shangqiu, Henan, China.
Haiyun WangDepartment of Anesthesiology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Red blood cell distribution width (RDW) is associated with increased mortality risk in critically ill patients. However, limited data are available on critically ill patients with delirium. Methods: Data from the Multiparameter Intelligent Monitoring in Intensive Care Database IV (MIMIC-IV) version 3.1 database were analyzed in this retrospective cohort research. The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) criteria were used to identify critically ill patients with delirium. The first RDW value was extracted within the first 24 h after intensive care unit admission. The endpoint was 30-day all-cause mortality. Multivariable Cox regression analysis was performed to examine the relationship between RDW and 30-day mortality. Age, sex, myocardial infarction, congestive heart failure, peripheral vascular disease, dementia, cerebrovascular disease, chronic pulmonary disease, diabetes, sepsis, and hemoglobin were considered for subgroup analysis. Results: A total of 10,600 patients were included, with a mean (standard deviation) age of 67.0 (16.7) years, of whom 6,007 (56.7%) were male patients. The increase in RDW was correlated with an increased risk of 30-day mortality in the Cox proportional regression analysis model (Hazard Ratio [HR] 1.04; 95% confidence interval [CI] 1.03-1.04). In comparison with the low-RDW group, the middle and high-RDW groups tended to have higher risks of 30-day all-cause mortality (HR, 1.54; [95% CI] [1.34-1.77]; HR 2.25 [95% CI] [1.96-2.58]; P trend < 0.0001). Restricted cubic spline (RCS) analysis demonstrated linear relationships between RDW and 30-day mortality. Subgroup analyses using the entire cohort also demonstrated higher 30-day all-cause mortality. Subgroup analyses across the entire cohort confirmed elevated 30-day all-cause mortality associated with higher red cell distribution width (RDW), with results aligning closely with the Cox proportional regression findings. Conclusion: An increase in RDW was associated with an increased risk of 30-day all-cause mortality in critically ill patients with delirium. RDW may serve as a valid indicator for assessing the severity and guiding the treatment of delirium patients in the ICU.

Indexed as

all-cause mortalitydeliriummimic ivprognosisred blood cell distribution width

Identifiers

PMID41459337
PMCPMC12738919

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