Red blood cell distribution width is an independent predictor of mortality following amputation for diabetic foot

Red blood cell distribution width (RDW) is a prognostic factor in various disorders. This study aimed to assess the prognostic value of RDW in patients undergoing amputation for diabetic foot. We retrospectively analyzed data on 415 patients who underwent diabetic foot amputation between January 2009 and January 2019. After establishing an optimal cutoff value of preoperative RDW for all-cause mortality, univariable and multivariable analyses with Cox proportional hazard model for survivorship and logistic regression analysis for prolonged hospital length of stay (> 30 days) were performed to identify significant prognostic factors. A preoperative RDW of 14.5% was the optimal cutoff value for predicting all-cause mortality. RDW ≥ 14.5% was significantly associated with increased all-cause mortality (hazard ratio, 2.55; 95% confidence interval [CI], 1.55-4.19; P < 0.001) on multivariable Cox proportional model analysis. Preoperative RDW ≥ 14.5% was also associated with a prolonged hospital length of stay after surgery (odds ratio, 2.17; 95% CI, 1.29-3.66; P = 0.004). Higher preoperative RDW was an independent predictive factor for increased all-cause mortality and prolonged hospital length of stay after diabetic foot amputation. These results suggest that RDW may be a useful laboratory parameter for risk stratification in patients undergoing amputation for diabetic foot.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-02-05
DOI
https://doi.org/10.1038/s41598-025-85684-x
Citations
6
Primary Topic
Diabetic Foot Ulcer Assessment and Management
Type
article
Field-Weighted Citation Impact
7.77
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Red blood cell distribution width is an independent predictor of mortality following amputation for diabetic foot

Dong Woo Shim, Jin Woo Lee, Seung Hwan Han, Kwang Hwan Park et al.
6 citations
Scientific Reports
Diabetic Foot Ulcer Assessment and Management
7.77
article

Red blood cell distribution width is an independent predictor of mortality following amputation for diabetic foot

Dong Woo Shim, Jin Woo Lee, Seung Hwan Han, Kwang Hwan Park, Yeo Kwon Yoon, Wonwoo Lee, Jae Han Park, Hang Hwan Cho
article en
6 citations

Abstract

Red blood cell distribution width (RDW) is a prognostic factor in various disorders. This study aimed to assess the prognostic value of RDW in patients undergoing amputation for diabetic foot. We retrospectively analyzed data on 415 patients who underwent diabetic foot amputation between January 2009 and January 2019. After establishing an optimal cutoff value of preoperative RDW for all-cause mortality, univariable and multivariable analyses with Cox proportional hazard model for survivorship and logistic regression analysis for prolonged hospital length of stay (> 30 days) were performed to identify significant prognostic factors. A preoperative RDW of 14.5% was the optimal cutoff value for predicting all-cause mortality. RDW ≥ 14.5% was significantly associated with increased all-cause mortality (hazard ratio, 2.55; 95% confidence interval [CI], 1.55-4.19; P < 0.001) on multivariable Cox proportional model analysis. Preoperative RDW ≥ 14.5% was also associated with a prolonged hospital length of stay after surgery (odds ratio, 2.17; 95% CI, 1.29-3.66; P = 0.004). Higher preoperative RDW was an independent predictive factor for increased all-cause mortality and prolonged hospital length of stay after diabetic foot amputation. These results suggest that RDW may be a useful laboratory parameter for risk stratification in patients undergoing amputation for diabetic foot.

Scientific ReportsVol. 15(1)
Yonsei University (KR), Severance Hospital (KR), Gangnam Severance Hospital (KR)
Good health and well-being
Openalex Percentile: Top 3%
Diabetic Foot Ulcer Assessment and Management
7.77
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.