ArticleScientific reports2018
The prognostic value of interaction between mean corpuscular volume and red cell distribution width in mortality in chronic kidney disease.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Ferric citrate hydrate is associated with a reduced cost of drugs and a smaller change in red blood cell distribution width.Scientific reports · 2022Trial
- Changes in mean corpuscular volume after erythropoiesis-stimulating agent treatment are associated with renal outcomes in non-dialysis-dependent chronic kidney disease.Clinical and experimental nephrology · 2026Article
- Methotrexate and glucocorticoid use in relation to cross-sectional and longitudinal associations of red blood cell distribution width in patients with rheumatoid arthritis.Nagoya journal of medical science · 2026Article
- Article
- Development and validation of interpretable machine learning models for predicting AKI risk in patients treated with PD-1/PD-L1: a retrospective study.BMC medical informatics and decision making · 2025Article
- Complex association of mean corpuscular volume and outcomes in patients with aplastic anemia treated with cyclosporine A plus androgen or cyclosporine A alone.Clinical and experimental medicine · 2025Article
- Article
- Red blood cell distribution width to albumin ratio as a predictor of mortality in ICU patients with community acquired bacteremia.Scientific reports · 2024Observational
- Association of Red Blood Cell Distribution Width and Neutrophil-to-Lymphocyte Ratio with Calcification and Cardiovascular Markers in Chronic Kidney Disease.Metabolites · 2023Article
- A Mendelian randomization-based exploration of red blood cell distribution width and mean corpuscular volume with risk of hemorrhagic strokes.HGG advances · 2022Article
- A novel model forecasting perioperative red blood cell transfusion.Scientific reports · 2022Article
- A nomogram incorporating red blood cell indices to predict post-stroke cognitive impairment in the intracerebral hemorrhage population.Frontiers in aging neuroscience · 2022Article
- Red Cell Distribution Width is Associated with 30-day Mortality in Patients with Spontaneous Intracerebral Hemorrhage.Neurocritical care · 2021Article
- The Relationship between Erythrocytes and Diabetes Mellitus.Journal of diabetes research · 2021Review
- Low rather than high mean corpuscular volume is associated with mortality in Japanese patients under hemodialysis.Scientific reports · 2020Article
- Mean Corpuscular Volume Predicts In-Stent Restenosis Risk for Stable Coronary Artery Disease Patients Receiving Elective Percutaneous Coronary Intervention.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recently, both red cell distribution width (RDW) and mean corpuscular volume (MCV) have been associated with unfavorable outcomes in several medical conditions. Therefore, we conducted this retrospective study of 1075 patients with stage 3-5 chronic kidney disease to investigate whether interactions between RDW and MCV influence the risk of mortality. These patients were divided into four groups: group A (n = 415), RDW ≤ 14.9% and MCV ≤ 91.6 fL; group B (n = 232), RDW > 14.9% and MCV ≤ 91.6 fL; group C (n = 307), RDW ≤ 14.9% and MCV > 91.6 fL; and group D (n = 121), RDW > 14.9% and MCV > 91.6 fL. The adjusted hazard ratio (HR) of all-cause mortality for group B versus group A was 1.44 (95% confidence interval [CI], 1.14-2.12, p = 0.02), group C versus group A 2.14 (95% CI, 1.31-3.48, p = 0.002), and group D versus group A 5.06 (95% CI, 3.06-8.37, p < 0.001). There was a multiplicative interaction between MCV and RDW in predicting patient mortality. The use of RDW in conjunction with MCV may improve healthcare by identifying those at an increased risk for mortality compared with the use of either RDW or MCV alone.
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