Evidence map›Paper›PMID 40956854›Full record

ArticlePloS one2025

Red cell distribution width (RDW) is independently associated with all-cause mortality in adult patients with osteomyelitis admitted to the intensive care unit.

Likai Liang, Zhe Chen, Zongyun He, Haibing Tao, Yang Chen, Tao Liu

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Article in PloS one, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Likai LiangDepartment of Hand and Foot Surgery, Yiwu Central Hospital, Yiwu, China.
Zhe ChenDepartment of Hand and Foot Surgery, Yiwu Central Hospital, Yiwu, China.
Zongyun HeDepartment of Hand and Foot Surgery, Yiwu Central Hospital, Yiwu, China.
Haibing TaoDepartment of Hand and Foot Surgery, Yiwu Central Hospital, Yiwu, China.
Yang ChenLiverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, United Kingdom.
Tao LiuDepartment of Hand and Foot Surgery, Yiwu Central Hospital, Yiwu, China.ORCID 0000-0002-7538-5027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to investigate the correlation between red cell distribution width (RDW) and overall mortality in adults diagnosed with osteomyelitis.

methodsIn this retrospective study, we examined data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, comprising 2,700 patients with osteomyelitis and available RDW data on the initial day of admission. Employing Kaplan-Meier survival analysis, we assessed the incidence rate of primary outcome events among groups categorized by RDW levels (Q1: RDW ≤ 13.5, Q2: 13.5 < RDW ≤ 14.6, Q3: 14.6 < RDW ≤ 16.1, Q4: 16.1 < RDW), with differences evaluated using the Log-rank test. Subsequently, Cox proportional hazards analyses were conducted to investigate the correlation between RDW and the overall mortality risk. Additionally, we performed stratified analyses based on factors such as gender, congestive heart failure, diabetes, and myocardial infarction to scrutinize the consistency of RDW's prognostic significance.

resultsOver the 90-day follow-up, 10.7% of patients with osteomyelitis succumbed. Unadjusted RDW correlated significantly with in-hospital, 30-day, and 90-day mortality (p < 0.05). Higher RDW levels proved more effective in predicting increased risks. RDW emerged as an independent prognostic indicator, showing no significant interactions with sex, congestive heart failure, diabetes, and myocardial infarction (interaction p-values: 0.254 to 0.920).

conclusionsThe noteworthy link between RDW and heightened all-cause mortality in patients with osteomyelitis who were hospitalized in the intensive care unit highlights RDW's potential as a valuable marker for identifying at-risk individuals during hospitalization.

Indexed as

Erythrocyte IndicesOsteomyelitisAdultAgedFemaleHospital MortalityHumansIntensive Care UnitsKaplan-Meier EstimateMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesRisk Factors

Identifiers

PMID40956854
PMCPMC12440193

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