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Purpose: This study was designed to analyze correlations between the uric acid to high-density lipoprotein cholesterol ratio (UHR) and peripheral nerve conduction velocity (NCV) among type 2 diabetes mellitus (T2DM) patients. Patients and Methods: This was a single-center cross-sectional analysis of 324 T2DM patients. All patients were separated into a group with normal NCV (NCVN) and a group with abnormal NCV (NCVA). Patients were also classified into groups with low and high UHR values based on the median UHR in this study cohort. Neurophysiological data including motor and sensory conduction velocity (MCV and SCV, respectively) were measured for all patients. Results: Relative to patients with low UHR values, those in the high UHR group presented with greater NCVA prevalence (P = 0.002). UHR remained negatively correlated with bilateral superficial peroneal nerve SCV, bilateral common peroneal nerve MCV, bilateral ulnar nerve SCV, and bilateral right median nerve MCV even after adjustment for confounding factors. UHR was identified as an NCVA-related risk factor, with a 1.370-fold increase in NCVA prevalence for every unit rise in UHR (P < 0.001). Conclusion: These results identify UHR as a risk factor associated with NCVA that was independently negatively associated with NCV among T2DM patients. [ABSTRACT FROM AUTHOR]

Background: Type 2 diabetes mellitus (T2DM) patients are likely to develop kidney disease. Early diagnosis, finding predictors and controlling risk factors are of great significance for T2DM patients. This study investigated the ability of uric acid (UA), the uric acid to creatinine (CR) ratio (UA/CR) and the uric acid to high-density lipoprotein cholesterol ratio (UHR) to assess the kidney function of T2DM patients and determined the relationship between the three indicators and the estimated glomerular filtration rate (eGFR).Methods: A total of 1326 adult T2DM patients were enrolled in the current study. Patients were stratified into three groups according to their eGFRs. Spearman correlation was used to analyze the correlation between three indicators and the clinical variables. Logistic regression analysis was used to assess the association between the three indicators and diabetic kidney disease (DKD) and kidney impairment (eGFR < 60 mL/min/1.73 m2). Receiver operating characteristic (ROC) analyses and the area under the ROC curve (AUC) were then used to assess the ability of UA, UA/CR, and UHR to discriminate kidney impairment in T2DM.Results: UA and UHR demonstrated a positive association with DKD risk (P < 0.05). The odds ratios (ORs) were 1.005 (95% CI, 1.004– 1.007) and 1.057 (95% CI, 1.039– 1.076), respectively. UA/CR was negatively correlated with DKD risk (OR, 0.922 (95% CI, 0.876, 0.970), P < 0.05). Furthermore, UA and UHR demonstrated a strong positive association with kidney impairment risk, while UA/CR was negatively correlated with kidney impairment risk in T2DM patients (P < 0.05 for all) after adjusting for confounding factors. UA had the highest AUC (0.762) among the three indicators. UHR had a greater AUC (0.713) than UA/CR, which had an AUC value of 0.148 (p < 0.001).Conclusion: UA is the best indicator of renal impairment (eGFR < 60 mL/min/1.73 m2) among the three indicators, and UHR is a better indicator than UA/CR. [ABSTRACT FROM AUTHOR]