Association of Red Blood Cell Distribution Width with Diabetic Nephropathy in Type 2 Diabetes: Findings from a Cross-Sectional Study.
Diabetic nephropathy (DN) is a prevalent and significant complication associated with diabetes mellitus (DM). Although several risk factors have been established, there is still a need to explore additional indicators for the early detection and intervention planning of DN. Red cell distribution width (RDW) has been noted to play a role in cardiovascular events and metabolic syndrome. This study aimed to explore the potential association between RDW and DN in patients with type 2 DM (T2DM).
Data were gathered from 2011 through 2018 through NHANES, and we performed a cross-sectional study that included 3,704 T2DM patients. Logistic regression, curve fitting, and interaction effects were utilized to examine the relationship between RDW and diabetic nephropathy.
The mean RDW values were significantly elevated in patients with diabetic nephropathy compared to those without diabetic nephropathy (p < 0.001). Logistic regression analysis indicated a positive correlation between RDW and DN, even after adjusting for the confounding variables (odds ratio: 1.16, 95% confidence interval: 1.12 - 1.21, p < 0.001). Furthermore, after accounting for all confounding variables, curve fitting demonstrateed a linear relationship between RDW and DN (p for non-linearity = 0.658). RDW was positively correlated with DN.
In conclusion, our research suggests that there is a link between higher RDW levels and the presence of DN, indicating that RDW may serve as a valuable biomarker for the early identification, prevention, and strategic intervention of this serious complication.
Data were gathered from 2011 through 2018 through NHANES, and we performed a cross-sectional study that included 3,704 T2DM patients. Logistic regression, curve fitting, and interaction effects were utilized to examine the relationship between RDW and diabetic nephropathy.
The mean RDW values were significantly elevated in patients with diabetic nephropathy compared to those without diabetic nephropathy (p < 0.001). Logistic regression analysis indicated a positive correlation between RDW and DN, even after adjusting for the confounding variables (odds ratio: 1.16, 95% confidence interval: 1.12 - 1.21, p < 0.001). Furthermore, after accounting for all confounding variables, curve fitting demonstrateed a linear relationship between RDW and DN (p for non-linearity = 0.658). RDW was positively correlated with DN.
In conclusion, our research suggests that there is a link between higher RDW levels and the presence of DN, indicating that RDW may serve as a valuable biomarker for the early identification, prevention, and strategic intervention of this serious complication.