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

Comparison of Serum Uric Acid in Females with and without Gestational Diabetes Mellitus During Pregnancy DOI
Abdul Waheed Khan,

Rahmah Tahir,

Fareeda Islam

et al.

Indus journal of bioscience research., Journal Year: 2025, Volume and Issue: 3(1), P. 609 - 615

Published: Jan. 29, 2025

Background: The widespread occurrence of Gestational diabetes mellitus (GDM) occurs during pregnancy because glucose intolerance which leads to unfavorable health outcomes for both the mother and fetus. Research shows that serum uric acid exists as a potential metabolic dysfunction marker although these connections GDM lack consistency. research sought assess levels between pregnant women who did or not have gestational means understand its predictive value. Methodology: case-control analysis took place at Abbasi Shaheed Hospital in Karachi six-month period July December 2023. study recruited 100 third trimester with 50 subjects being cases having non-GDM status. researchers employed non-probability consecutive sampling identify participants. occurred through colorimetric assay. SPSS version 25.0 served statistical tool groups were examined independent sample t-tests detect mean differences values. Statistical incorporated age, BMI other demographic stratification purposes established p ≤0.05 threshold significance marker. Results Discussion: level was significantly higher (7.06 ± 0.88 mg/dl) compared controls (4.76 1.06 (p < 0.001). Age stratifications confirmed this association. Previous supports conclusion high act component leading insulin resistance development. Conclusion: elevated patients demonstrates value screening measure. Future needs determine cause-effect relationships applications assessment pre-identifying managing patients.

Language: Английский

Citations

0

Correlation of the lipid complex marker hs-CRP/HDL-C ratio with hyperuricaemia: a cross-sectional retrospective study from NHANES 2015–2018 DOI Creative Commons
Jinfeng Wei,

Guo Jinhao,

Yin Xianglin

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 12, 2025

the high-sensitivity C-reactive protein (hs-CRP) to high-density lipoprotein cholesterol (HDL-C) ratio and hyperuricemia among population of United States, still has predictive value for cardiovascular disease in middle age. Methods 4,780 adult participators from National Health Nutrition Examination Survey (NHANES) were involved this research. Through NHANES laboratory testing, all biochemical indications discovered. In order observe differences indications, propensity score methods used match age sex confounders.The relationship between hs-CRP/HDL-C was explored using matching weighted multivariate logistic regression analysis, with potential nonlinear investigated a restricted cubic spline test. Results Sex, age, hypercholesterolaemia, diabetes, fasting glucose, cholesterol, high low density lipoprotein, did not differ statistically significantly (P > 0.05); however, uric acid, triglycerides, CRP/HDL ratio, protein, ethnicity, hypertriglyceridemia differed < 0.05). multifactor model, relative odds increased by 0.383 times at second quintile (OR = 1.383, 95%CI(1.382–1.385), P 0.001), 2.001 third 3.001, 95%CI (2.998–3.005), 2.533 fourth 3.533, (3.529–3.538), 0.001). univariate models, test demonstrated correlation hyperuricaemia, growing "log-function" shaped trend overall Conclusion The is positively correlated American adults. Maintaining ideal may contribute reducing burden hyperuricemia.

Language: Английский

Citations

0

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 &gt;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 (&lt;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

Citations

0