Associations between red blood cell distribution width (RDW), hemoglobin-to-RDW ratio (HRR), and mortality in hip fracture patients in the ICU: A MIMIC-IV database analysis

Hip fractures are associated with significant mortality, and hematologic indices such as red blood cell distribution width (RDW) and hemoglobin-to-RDW ratio (HRR) have shown potential as prognostic markers. However, their prognostic value in the intensive care unit (ICU) setting remains uncertain. This study aimed to explore the associations between RDW, HRR, and mortality in hip fracture patients requiring ICU admission. Data of patients with hip fractures admitted to the ICU were extracted from the MIMIC-IV database and retrospectively analyzed. The primary outcomes were 28-day and 1-year mortality. Associations between RDW, HRR, and mortality outcomes were evaluated using logistic regression and Cox proportional hazards models. A total of 488 patients were included. After adjustment, high RDW (≥ 14.3 %) was associated with significantly increased 28-day mortality (adjusted odds ratio [aOR] = 2.04, 95 % confidence interval [CI]: 1.07-3.88) and 1-year mortality (adjusted hazard ratio [aHR] = 1.95, 95 % CI: 1.15-3.29). High HRR (≥0.65 %) was independently associated with a reduced risk of 28-day mortality (aOR = 0.37, 95 % CI: 0.21-0.66) and 1-year mortality (aHR = 0.51, 95 % CI: 0.32-0.81) after adjusting for confounders. In conclusions, both RDW and HRR are independent predictors of mortality in patients with hip fractures admitted to the ICU. These indices could serve as a valuable prognostic tool in this patient population.

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Journal
Experimental Gerontology
Published
2025-10-04
DOI
https://doi.org/10.1016/j.exger.2025.112917
Citations
1
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
1.05
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article

Associations between red blood cell distribution width (RDW), hemoglobin-to-RDW ratio (HRR), and mortality in hip fracture patients in the ICU: A MIMIC-IV database analysis

Yu-Der Lu, Steven Hsu, Yu-Jui Chang, Chin-Yi Liao et al.
1 citations
Experimental Gerontology
Inflammatory Biomarkers in Disease Prognosis
1.05
article

Associations between red blood cell distribution width (RDW), hemoglobin-to-RDW ratio (HRR), and mortality in hip fracture patients in the ICU: A MIMIC-IV database analysis

Yu-Der Lu, Steven Hsu, Yu-Jui Chang, Chin-Yi Liao, Chih-Hsiang Hsu
article en
1 citations

Abstract

Hip fractures are associated with significant mortality, and hematologic indices such as red blood cell distribution width (RDW) and hemoglobin-to-RDW ratio (HRR) have shown potential as prognostic markers. However, their prognostic value in the intensive care unit (ICU) setting remains uncertain. This study aimed to explore the associations between RDW, HRR, and mortality in hip fracture patients requiring ICU admission. Data of patients with hip fractures admitted to the ICU were extracted from the MIMIC-IV database and retrospectively analyzed. The primary outcomes were 28-day and 1-year mortality. Associations between RDW, HRR, and mortality outcomes were evaluated using logistic regression and Cox proportional hazards models. A total of 488 patients were included. After adjustment, high RDW (≥ 14.3 %) was associated with significantly increased 28-day mortality (adjusted odds ratio [aOR] = 2.04, 95 % confidence interval [CI]: 1.07-3.88) and 1-year mortality (adjusted hazard ratio [aHR] = 1.95, 95 % CI: 1.15-3.29). High HRR (≥0.65 %) was independently associated with a reduced risk of 28-day mortality (aOR = 0.37, 95 % CI: 0.21-0.66) and 1-year mortality (aHR = 0.51, 95 % CI: 0.32-0.81) after adjusting for confounders. In conclusions, both RDW and HRR are independent predictors of mortality in patients with hip fractures admitted to the ICU. These indices could serve as a valuable prognostic tool in this patient population.

Experimental GerontologyVol. 211
Kaohsiung Chang Gung Memorial Hospital (TW), Cheng Shiu University (TW)
Openalex Percentile: Top 17%
Inflammatory Biomarkers in Disease Prognosis
1.05
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