SCREENING TEST FOR PREDIABETES USING SERUM URIC ACID LEVEL

Abstract

     This study aimed to investigate the association between serum uric acid (SUA) levels and prediabetes, and to evaluate the diagnostic accuracy of SUA for predicting prediabetes in a Thai population. A survey research by retrospective design was employed, comprising 204 participants who were categorized into a prediabetes group (HbA1c 5.7–6.4%, n=102) and a normal group (HbA1c <5.7%, n=102). Data were obtained from a medical clinic in Din Daeng area, Bangkok. Diagnostic performance was assessed using receiver operating characteristic (ROC) curve analysis to determine the area under the curve (AUC), optimal cut-off value, sensitivity, and specificity.

     Result: Most participants were female (62.7%), with a mean age of 62.12 years. The prediabetes group exhibited significantly higher mean SUA levels compared with the normal group (8.36±1.55 vs. 5.55±1.45 mg/dL, p<0.001). In the combined male and female population, SUA yielded an AUC of 0.91 (95% CI: 0.87–0.95, p<0.001). At a cut-off of 6.60 mg/dL, sensitivity was 93.1% and specificity was 81.4%. Sex-stratified analysis revealed that in females, the AUC was 0.91 (95% CI: 0.86–0.96) with a cut-off of 6.60 mg/dL, yielding a sensitivity of 89.9% and a specificity of 84.7%. In males, the AUC was 0.94 (95% CI: 0.89–0.99) with a cut-off of 7.00 mg/dL, yielding a sensitivity of 97.0% and a specificity of 86.0%.