Aims: This study aimed to determine a parameter to more easily diagnose metabolic syndrome and predict its probability of occurrence in high-risk individuals.
Methods: In this cross-sectional study, data related to the study population in the Kerman Coronary Artery Disease Risk Factor Study (KERCADRS) were examined. Subjects were divided into two groups with and without metabolic syndrome, and the relevant factors such as the ratios of uric acid to high-density lipoprotein (HDL) (UHR) in these two groups were compared, and the best cut-off point was determined.
Results: Data related to 817 people including 96 people with metabolic syndrome and 721 people without metabolic syndrome were analysed. The mean UHR was significantly higher in patients with metabolic syndrome (14.76 ± 6.33%) compared with those without metabolic syndrome (10.0 ± 3.10%) (p < .001). People with high UHR are 2.9 times more at risk of metabolic syndrome and the best cut-off point was 9.50% with 86% sensitivity and 55% specificity.
Conclusions: According to our study, UHR is also helpful in diagnosing metabolic syndrome and can also be used to screen people at risk for metabolic syndrome.
Keywords: HDL; UHR; metabolic syndrome; uric acid.
© 2021 The Authors. Endocrinology, Diabetes & Metabolism published by John Wiley & Sons Ltd.