Evidence map›Paper›PMID 40605110›Full record

ArticleEuropean journal of medical research2025

The association between week-one red blood cell distribution width and one-year survival in critically ill patients: propensity score-based multicenter analysis.

Shang-Yi Lee, Li-Ting Wong, Wen-Cheng Chao

Abstract readMulticenter Study
In one paragraph

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Shang-Yi LeeDepartment of Anesthesiology, Taichung Veterans General Hospital Puli Branch, Taichung, Taiwan.
Li-Ting WongDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
Wen-Cheng ChaoDepartment of Critical Care Medicine, Taichung Veterans General Hospital, No. 1650, Section 4, Taiwan Boulevard, Xitun District, Taichung, 40705, Taiwan. cwc081@hotmail.com.

Funding

National Science and Technology Council Taiwan NSTC 112-2314-B-075A-001 -MY2Taichung Veterans General Hospital TCVGH-1134401C, TCVGH-1142901C, TCVGH-114G212Veterans General Hospitals and University System of Taiwan Joint Research Program VGHUST113-G2-1-2
6 · The paper itself

Abstract

backgroundRed blood cell distribution width (RDW), a marker of erythrocyte size variability, has been associated with adverse outcomes in various inflammatory and critical illnesses, but the impact on long-term outcomes in critically ill patients remains unclear. We hence aimed to address the association between RDW and one-year mortality in critically ill patients through using a propensity score-based analysis.

methodsThe data from three databases were aggregated: the Medical Information Mart for Intensive Care IV (MIMIC-IV), the Salzburg Intensive Care database (SICdb), and the Taichung Veterans General Hospital (TCVGH) critical care database. Cox regression, propensity score matching (PSM), and weighting methods consisting of inverse probability of treatment weighting (IPTW), stabilized IPTW, as well as covariate balancing propensity score (CBPS) were used to identify the independent association between RDW and one-year mortality.

resultsA total of 39,699 critically ill patients were included in the analysis, with a one-year mortality rate of 27.3%. High RDW was significantly associated with increased one-year mortality (adjusted hazard ratio 1.980, 95% confidence interval (CI) 1.898-2.066, p < 0.001) after adjusting for covariates. The association was stronger among patients with milder forms of critical illnesses. The association between high RDW and mortality in PSM, IPTW, stabilized IPTW and CBPS populations were 1.751 (95% CI 1.627-1.885), 1.960 (95% CI 1.873-2.051), 1.962 (95% CI 1.875-2.052) and 1.946 (95% CI 1.845-2.053).

conclusionWeek-one RDW is a robust predictor of one-year mortality in critically ill patients. Our data suggest that RDW may serve as a prognostic tool for early risk stratification of long-term outcomes in critical care.

Indexed as

Critical IllnessErythrocyte IndicesErythrocytesAgedFemaleHumansIntensive Care UnitsMaleMiddle AgedPrognosisPropensity ScoreCritical careDatabaseLong-term mortalityPropensity scoreRDW

Identifiers

PMID40605110
PMCPMC12220497

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.