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The role of red blood cell distribution width in prognosis prediction among critically ill patients with obstructive sleep apnea: Insights from the MIMIC-IV database
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  • Published: 05 March 2026

The role of red blood cell distribution width in prognosis prediction among critically ill patients with obstructive sleep apnea: Insights from the MIMIC-IV database

  • Chunyan Zhang1 na1,
  • Jing Xiao1 na1,
  • Xiyu Gao1,
  • Chen Guo1,
  • Na Feng1,
  • Yan Zhang1 &
  • …
  • Tuo Han1 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Diseases
  • Medical research
  • Risk factors

Abstract

Obstructive sleep apnea (OSA) is prevalent in critically ill patients and associated with increased mortality. This study aimed to investigate the association between red blood cell distribution width (RDW) at admission and one-year mortality in critically ill OSA patients. A retrospective cohort study involving 1950 critically ill patients with OSA from the MIMIC-IV (v3.1) database. Kaplan-Meier survival analysis, multivariable Cox regression, and restricted cubic spline (RCS) analyses were performed to evaluate the association between RDW and all-cause mortality. Subgroup analyses were performed to assess the consistency of the RDW-mortality association and identify potential interaction effects. The incidence of mortality increased significantly across RDW quartiles (Q1: 4.6% vs. Q2: 12.1% vs. Q3: 18.4% vs. Q4: 34.7%, P < 0.001). Kaplan-Meier analysis demonstrated significantly higher 30-day and one-year all-cause mortality among patients in the higher RDW quartiles (log-rank P< 0.001). Multivariate Cox regression analysis revealed that RDW levels were independently correlated with one-year mortality after adjusting for multiple variables for both continuous (hazard ratio [HR] 1.15, 95% confidence interval [CI]: 1.10–1.20; P < 0.001) and categorical comparisons (Q4 vs. Q1: HR 4.42, 95% CI: 2.67–7.31; P< 0.001). RCS regression confirmed a significant positive relationship between RDW and the risk of short- or long-term mortality (Pfor overall <0.001). Subgroup analysis confirmed the robustness of the results and identified interactions between RDW and White race, and BMI status (P for interaction = 0.011 and 0.052, respectively). This study established a positive association between RDW and all-cause mortality in OSA patients admitted to the ICU. Higher RDW levels were associated with an increased risk of short- and long-term all-cause mortalities.

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Data availability

The publicly available datasets used in this study can be accessed from online repositories. Data were obtained from [https://physionet.org/content/mimiciv/3.1/](https:/physionet.org/content/mimiciv/3.1) .

Abbreviations

OSA:

Obstructive sleep apnea

BMI:

Body mass index

SBP:

Systolic blood pressure

DBP:

Diastolic blood pressure

MBP:

Mean blood pressure

HR:

Heart rate

RR:

Respiratory rate

SpO2 :

Oxygen saturation

WBC:

White blood cell

RBC:

Red blood cell

RDW:

Red cell distribution width

BUN:

Urea nitrogen

INR:

International normalized ratio

PT:

Prothrombin time

APTT:

Activated partial prothrombin time

MI:

Myocardial infarction

COPD:

Chronic obstructive pulmonary disease

SOFA:

Sequential organ failure assessment

SAPS II:

Simplified acute physiology score

APS III:

Acute physiology score III

CCI:

Charlson comorbidity index

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Funding

This study was supported by the National Natural Science Foundation of China (82100359 and 82500364).

Author information

Author notes
  1. These authors contributed equally to this work: Chunyan Zhang and Jing Xiao.

Authors and Affiliations

  1. Department of Cardiovascular Medicine, The Second Affiliated Hospital of Xi’an Jiaotong University, 157 West 5th Road, Xi’an, 710014, Shaanxi, China

    Chunyan Zhang, Jing Xiao, Xiyu Gao, Chen Guo, Na Feng, Yan Zhang & Tuo Han

Authors
  1. Chunyan Zhang
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Contributions

Tuo Han: Conceptualization, Project administration, Supervision, Writing, review, and editing. Chunyan Zhang and Jing Xiao: Data curation, formal analysis, Investigation, Methodology, Visualization, Writing of the original draft. Xiyu Gao and Chen Guo: Data curation, formal analysis, Software, Writing, reviewing, and editing. Na Feng, Yan Zhang: Conceptualization, Funding acquisition, Methodology and Writing, review, and editing. All the authors approved the final version of the manuscript.

Corresponding author

Correspondence to Tuo Han.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

The review boards of Massachusetts Institute of Technology (MIT) and Beth Israel Deaconess Medical Center approved the use of the MIMIC-IV database. Since the participants were anonymized and de-identified, this study was exempt from the requirements for ethical approval and informed consent.

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Supplementary Information

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Supplementary Material 1 (download DOCX )

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Cite this article

Zhang, C., Xiao, J., Gao, X. et al. The role of red blood cell distribution width in prognosis prediction among critically ill patients with obstructive sleep apnea: Insights from the MIMIC-IV database. Sci Rep (2026). https://doi.org/10.1038/s41598-026-43197-1

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  • Received: 30 December 2025

  • Accepted: 02 March 2026

  • Published: 05 March 2026

  • DOI: https://doi.org/10.1038/s41598-026-43197-1

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Keywords

  • Obstructive sleep apnea (OSA)
  • Red blood cell distribution width (RDW)
  • All-cause mortality
  • Prognostic effect
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