Association between uric acid to high-density lipoprotein cholesterol ratio and chronic kidney disease in Chinese patients with type 2 diabetes mellitus: a cross-sectional study DOI Creative Commons
Xiangyu Chen, Jie Zhang, Feng Lü

et al.

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: April 14, 2025

Objectives To examine the association between uric acid (UA) to high-density lipoprotein cholesterol (HDL-C) ratio (UHR) and chronic kidney disease (CKD) in type 2 diabetes mellitus (T2DM) patients China. Methods The investigation stems from a survey conducted eastern Chinese province of Zhejiang, spanning March November 2018. A multivariable logistic regression model was employed assess relationship UHR CKD, while restricted cubic spline (RCS) analysis used evaluate dose–response relationship. Receiver operating characteristic (ROC) curve performed determine optimal cut-off value its diagnostic performance for CKD. Model further evaluated using net reclassification improvement (NRI) integrated discrimination (IDI) metrics. Sensitivity analyses, including propensity score matching (PSM) k-means clustering, were enhance robustness findings. Subgroup analyses across various demographic clinical categories consistency UHR-CKD association. Results This cross-sectional study included 1,756 with T2DM, among whom 485 (27.62%) identified Multivariable revealed significant positive Per standard deviation (SD) increase associated 40% higher odds CKD (OR = 1.40, 95% CI: 1.23–1.60) after adjusting potential covariates. When analyzed categorically, participants highest tertile (T3) had 1.82-fold compared lowest (T1) (95% 1.32–2.50). RCS demonstrated consistent linear all models (all p nonlinearity >0.05). ROC an 12.28 prediction, area under (AUC) 0.710 0.683–0.737) fully adjusted model. confirmed most variables, except younger age groups (18–44 45–59 years) smokers. Notably, BMI significantly modified relationship, nonlinear observed individuals lower (<24 kg/m ) those (≥24 ). Conclusion demonstrates highlighting as promising biomarker risk assessment. offers practical threshold early renal monitoring targeted interventions. Future research should explore UHR-targeted therapies integration into personalized stratification improve management T2DM.

Language: Английский

Association between uric acid to high-density lipoprotein cholesterol ratio and chronic kidney disease in Chinese patients with type 2 diabetes mellitus: a cross-sectional study DOI Creative Commons
Xiangyu Chen, Jie Zhang, Feng Lü

et al.

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: April 14, 2025

Objectives To examine the association between uric acid (UA) to high-density lipoprotein cholesterol (HDL-C) ratio (UHR) and chronic kidney disease (CKD) in type 2 diabetes mellitus (T2DM) patients China. Methods The investigation stems from a survey conducted eastern Chinese province of Zhejiang, spanning March November 2018. A multivariable logistic regression model was employed assess relationship UHR CKD, while restricted cubic spline (RCS) analysis used evaluate dose–response relationship. Receiver operating characteristic (ROC) curve performed determine optimal cut-off value its diagnostic performance for CKD. Model further evaluated using net reclassification improvement (NRI) integrated discrimination (IDI) metrics. Sensitivity analyses, including propensity score matching (PSM) k-means clustering, were enhance robustness findings. Subgroup analyses across various demographic clinical categories consistency UHR-CKD association. Results This cross-sectional study included 1,756 with T2DM, among whom 485 (27.62%) identified Multivariable revealed significant positive Per standard deviation (SD) increase associated 40% higher odds CKD (OR = 1.40, 95% CI: 1.23–1.60) after adjusting potential covariates. When analyzed categorically, participants highest tertile (T3) had 1.82-fold compared lowest (T1) (95% 1.32–2.50). RCS demonstrated consistent linear all models (all p nonlinearity >0.05). ROC an 12.28 prediction, area under (AUC) 0.710 0.683–0.737) fully adjusted model. confirmed most variables, except younger age groups (18–44 45–59 years) smokers. Notably, BMI significantly modified relationship, nonlinear observed individuals lower (<24 kg/m ) those (≥24 ). Conclusion demonstrates highlighting as promising biomarker risk assessment. offers practical threshold early renal monitoring targeted interventions. Future research should explore UHR-targeted therapies integration into personalized stratification improve management T2DM.

Language: Английский

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