ArticleHeliyon2023
Red blood cell distribution width and mortality risk in critically ill cardiovascular patients.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- [Elevation of red blood cell distribution width to hematocrit ratio is associated with increased 28-day all-cause mortality in septic patients].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Article
- Higher red blood cell distribution width to platelet count ratio is associated with increased cardiovascular events in peritoneal dialysis patients.BMC nephrology · 2026Article
- Red Cell Distribution Width-Standard Deviation Is Associated with Cumulative Metabolic Burden but Not Independently with Metabolic Syndrome.Medicina (Kaunas, Lithuania) · 2026Observational
- Red blood cell distribution width is associated with coronary artery disease in latent tuberculosis infection: a machine learning-based study.Frontiers in cellular and infection microbiology · 2026Article
- Admission Red Blood Cell Distribution Width and Mean Platelet Volume as Predictors of Mortality in the Pediatric Intensive Care Unit: A Five-Year Single-Center Retrospective Study.Journal of clinical medicine · 2025Article
- Red Blood Cell-Related Parameters in Rheumatoid Arthritis: Clinical Value and Immunological Significance.Journal of inflammation research · 2024Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The association between red blood cell distribution width (RDW) and mortality risk in critically ill cardiovascular patients has not been well studied. Objective: To examine the association between RDW and 30-day all-cause and cause-specific mortality in critically ill cardiovascular patients. Methods: This cohort study included 47,266 patients from the eICU database. RDW was categorized as <13.0 %, 13.0-13.4 %, 13.5-13.9 %, 14.0-14.4 %, 14.5-14.9 %, ≥15.0 %. Logistic regression model was used to estimate adjusted odds ratios (ORs), and log-linear regression model was used to examine absolute rate differences (RDs) in mortality risk. Cubic spline curve was used to explore the nonlinear association between changes in RDW and mortality. Results: A graded association between higher RDW and incremental risk of death was observed. Compared with RDW of <13.0 %, the adjusted odds ratios for all-cause mortality were 1.29 (95 % CI, 1.10 to 1.53) for RDW of 13.5-13.9 %, 1.57 (95 % CI, 1.33 to 1.85) for RDW of 14.0-14.4 %, 1.94 (95 % CI, 1.64 to 2.29) for RDW of 14.5-15.0 %, and 3.15 (95 % CI, 2.74 to 3.63) for RDW of ≥15.0 %. The absolute rate differences for RDW of 13.5-13.9 %, 14.0-14.4 %, 14.5-14.9 %, and ≥15.0 % indicated an additional 6, 13, 14, and 40 deaths per 1000 patients, respectively. RDW was associated with most, but not all, cause-specific deaths. Conclusion: RDW was strongly associated with all-cause mortality and most cause-specific mortality in critically ill cardiovascular patients. These findings underscore the importance of this readily available hematologic indicator in mortality risk stratification.
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