ArticlePloS one2024
Association between red cell distribution width and all-cause mortality in patients with breast cancer: A retrospective analysis using MIMIC-IV 2.0.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Red blood cell distribution width-to-albumin ratio as a novel predictor for mortality in breast cancer patients admitted to ICU: a retrospective analysis using MIMIC-IV 3.1.BMC medical informatics and decision making · 2026Article
- Can baseline red blood cell distribution width predict outcomes in peripheral T-cell lymphoma patients?Annals of hematology · 2026Article
- Association of red cell distribution width-to-albumin ratio with mortality in adults with low muscle mass: A retrospective cohort study.The Journal of international medical research · 2026Article
- Development and External Validation of an Interpretable Machine Learning Model Using Routine Blood Biomarkers for Differentiating Malignant Breast Nodules.Journal of inflammation research · 2026Article
- Association between the red cell distribution Width - coefficient of variation with colon cancer and all-cause mortality: insights from the 1999-2018 NHANES.BMC gastroenterology · 2025Article
- Association of pan-immune inflammation value with mortality in patients with pulmonary embolism: a cohort study.Scientific reports · 2025Article
- Article
- Prognostic biomarkers for overall survival in patients undergoing surgery for bone metastases: a pan-cancer study.Frontiers in medicine · 2025Article
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7 authors.
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Abstract
purposeInvestigating the association between red cell distribution width (RDW) and all-cause mortality in patients with breast cancer, to evaluate the potential clinical prognostic value of RDW.
methodsBased on the RDW index, patients with breast cancer in the Medical Information Mart for Intensive Care (MIMIC-IV) database were categorized into quartiles. The primary outcomes included in-hospital mortality from all causes during the first six months, the first year, and the first three years. Cox hazards regression and restricted cubic spline (RCS) models were developed to investigate the effects of RDW on primary outcomes.
resultsThe study included 939 patients (female). The 6-month, 1-year, and 3-year mortality rates were 14.0%, 21.4%, and 28.4%, respectively. Multivariate Cox proportional hazards analyses demonstrated that RDW exhibited an autonomous association with an increased risk of all-cause mortality. After adjusting for confounders, higher RDW quartiles were significantly associated with 6-month mortality (adjusted hazard ratio (HR), 3.197; 95% confidence interval (CI), 1.745-5.762; P < 0.001), 1-year mortality (adjusted HR, 2.978; 95% CI, 1.867-4.748; P < 0.001), and 3-year mortality (adjusted HR, 2.526; 95% CI, 1.701-3.750; P < 0.001). The RCS curves demonstrated that high RDW (> 14.6) was associated with a greater risk of all-cause mortality. Subgroup analyses revealed no statistically significant differences in the interactions between the subgroups.
conclusionThe study revealed a highly pronounced relationship between RDW and overall mortality, indicating its potential as an autonomous prognostic factor for increased mortality among patients with breast cancer.
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