ArticleJournal of clinical laboratory analysis2017
Multiplicative interaction between mean corpuscular volume and red cell distribution width with target organ damage in hypertensive patients.
Article in Journal of clinical laboratory analysis, 2017. 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.
- Association of Premature Ventricular Contraction (PVC) with hematological parameters: a data mining approach.Scientific reports · 2025Article
- White blood cell and platelet distribution widths are associated with hypertension: data mining approaches.Hypertension research : official journal of the Japanese Society of Hypertension · 2024Article
- Article
- Monocyte/Lymphocyte Ratio and MCHC as Predictors of Collateral Carotid Artery Disease-Preliminary Report.Journal of personalized medicine · 2021Article
- Prognostic Value of Admission Mean Corpuscular Volume for Major Adverse Cardiovascular Events following Stent Implantation in Nondiabetic and Diabetic Patients with Acute Coronary Syndrome.Disease markers · 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
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccumulating evidence suggests that increased red cell distribution width (RDW) and mean corpuscular volume (MCV) were both poor prognostic factors for patients with cardiovascular diseases. Recently, the multiplicative interaction between RDW and MCV has been observed for predicting mortality in elderly patients without anemia; however, the relationship between the product of RDW-MCV and hypertension-induced target organ damage (TOD) has not been evaluated.
methodsWe performed a cross-sectional study in 1115 hypertensive patients. RDW and MCV were determined using automated hematology analyzers. Prevalence of TOD was evaluated by estimated glomerular filtration rate, carotid intima-media thickness, and left ventricular mass index.
resultsThe prevalence of TOD was observed to be increased with the RDW or product of RDW-MCV quartiles. Moreover, RDW, MCV and product of RDW-MCV were significantly higher in patients with TOD compared to those without TOD. According to two logistic regression models, the associations of RDW and MCV with TOD were lost after adjustment for other factors. However, product of RDW-MCV remains an independent predictor of TOD, with per 0.4 fL increase in the product of RDW-MCV associated with a 16% increased risk of TOD (P=.012).
conclusionsThe inclusion of MCV by calculating the product of RDW-MCV appears to enhance the association of RDW with TOD.
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