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Objective <p>This study aims to examine the association between the serum uric acid-to-high-density lipoprotein cholesterol ratio (UHR) and the presence of microalbuminuria in individuals diagnosed with type 2 diabetes mellitus (T2DM), and to evaluate the potential of UHR as a predictive marker for early diabetic nephropathy (DN).</p> Methods <p>A cross-sectional study was conducted at The First Hospital of Longyan City between 2022 and 2024, which included 563 individuals with T2DM (38.54% male, 61.46% female). The exposure variable was UHR, while the outcome variable was microalbuminuria, defined as a urinary albumin-to-creatinine ratio (UACR) ≥ 30 mg/g and &lt; 300 mg/g. Covariates included age, sex, diabetes duration, blood pressure parameters, waist-to-height ratio, glycated hemoglobin (HbA1c), triglyceride-glucose body mass index (TyG–BMI index), and medication history. Multivariate logistic regression analysis was applied to evaluate the association between UHR and microalbuminuria. A generalized additive model (GAM) was employed to assess potential nonlinear associations. Receiver-operating characteristic (ROC) curves were generated to assess predictive performance.</p> Results <p>Following full adjustment for covariates, UHR demonstrated a significant association with microalbuminuria (odds ratio [OR] = 2.06, 95% confidence interval [CI]: 1.03–4.12, <i>p</i> = 0.041). GAM analysis revealed a positive linear association between UHR and the risk of microalbuminuria. In the sex-specific predictive model, the area under the curve (AUC) was 0.738 (95% CI 0.642–0.819) for female patients and 0.705 (95% CI 0.630–0.765) for male patients.</p> Conclusion <p>UHR was identified as an independent risk factor for microalbuminuria in individuals with T2DM, demonstrating a dose–response relationship. Incorporating UHR into sex-specific predictive models improved the accuracy of microalbuminuria risk assessment, supporting its potential utility in the early identification and prevention of diabetic nephropathy.</p>

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Association between the serum uric acid-to-high-density lipoprotein cholesterol ratio and microalbuminuria in individuals with type 2 diabetes mellitus

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月5日

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  • Fengqi Qian,
  • Zhe Hong,
  • Juhua Wei,
  • Hao Shen,
  • Senqing Lin,
  • Minghui Geng,
  • Jinxiu Deng,
  • Senchao Wu

摘要

Objective

This study aims to examine the association between the serum uric acid-to-high-density lipoprotein cholesterol ratio (UHR) and the presence of microalbuminuria in individuals diagnosed with type 2 diabetes mellitus (T2DM), and to evaluate the potential of UHR as a predictive marker for early diabetic nephropathy (DN).

Methods

A cross-sectional study was conducted at The First Hospital of Longyan City between 2022 and 2024, which included 563 individuals with T2DM (38.54% male, 61.46% female). The exposure variable was UHR, while the outcome variable was microalbuminuria, defined as a urinary albumin-to-creatinine ratio (UACR) ≥ 30 mg/g and < 300 mg/g. Covariates included age, sex, diabetes duration, blood pressure parameters, waist-to-height ratio, glycated hemoglobin (HbA1c), triglyceride-glucose body mass index (TyG–BMI index), and medication history. Multivariate logistic regression analysis was applied to evaluate the association between UHR and microalbuminuria. A generalized additive model (GAM) was employed to assess potential nonlinear associations. Receiver-operating characteristic (ROC) curves were generated to assess predictive performance.

Results

Following full adjustment for covariates, UHR demonstrated a significant association with microalbuminuria (odds ratio [OR] = 2.06, 95% confidence interval [CI]: 1.03–4.12, p = 0.041). GAM analysis revealed a positive linear association between UHR and the risk of microalbuminuria. In the sex-specific predictive model, the area under the curve (AUC) was 0.738 (95% CI 0.642–0.819) for female patients and 0.705 (95% CI 0.630–0.765) for male patients.

Conclusion

UHR was identified as an independent risk factor for microalbuminuria in individuals with T2DM, demonstrating a dose–response relationship. Incorporating UHR into sex-specific predictive models improved the accuracy of microalbuminuria risk assessment, supporting its potential utility in the early identification and prevention of diabetic nephropathy.