Endocrine, metabolic & immune disorders drug targets · 2026
Nonlinear Association Between Uric Acid to High-Density Lipoprotein Cholesterol Ratio and Diabetic Kidney Disease: Evidence from NHANES 2007-2018.
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Wei Yi, Liu Chao, Yu Jiangyi
Аннотация
INTRODUCTION: The relationship between uric acid to high-density cholesterol ratio (UHR) and diabetic kidney disease (DKD) is unclear. The aim of this study was to investigate the relationship between UHR and DKD in patients with diabetes mellitus (DM).
METHODS: Analyses were conducted based on National Health and Nutrition Examination Survey (NHANES) data from the 2007-2018 cycle. We used multifactorial logistic regression to analyze the association between UHR and DKD. We performed restricted cubic splines (RCS) analyses to explore whether there was a nonlinear relationship between the two. In addition, we explored differences in this association between different subgroups.
RESULTS: A total of 2,674 participants were included in the study. After adjusting for all confounding variables, multivariate logistic regression analysis revealed a significant correlation between UHR and DKD in patients with DM. RCS analysis further revealed a significant nonlinear association between UHR and DKD. Subgroup analysis showed that the association between UHR and DKD was consistent across different subgroups. In addition, the effect of UHR on DKD was significantly influenced by the level of BMI.
DISCUSSION: This study explored the relationship between UHR and DKD, contributing to a better understanding of the significance of UHR in DKD.
CONCLUSION: Our study found a "J" nonlinear association between UHR and DKD in patients with DM.
METHODS: Analyses were conducted based on National Health and Nutrition Examination Survey (NHANES) data from the 2007-2018 cycle. We used multifactorial logistic regression to analyze the association between UHR and DKD. We performed restricted cubic splines (RCS) analyses to explore whether there was a nonlinear relationship between the two. In addition, we explored differences in this association between different subgroups.
RESULTS: A total of 2,674 participants were included in the study. After adjusting for all confounding variables, multivariate logistic regression analysis revealed a significant correlation between UHR and DKD in patients with DM. RCS analysis further revealed a significant nonlinear association between UHR and DKD. Subgroup analysis showed that the association between UHR and DKD was consistent across different subgroups. In addition, the effect of UHR on DKD was significantly influenced by the level of BMI.
DISCUSSION: This study explored the relationship between UHR and DKD, contributing to a better understanding of the significance of UHR in DKD.
CONCLUSION: Our study found a "J" nonlinear association between UHR and DKD in patients with DM.